Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors
Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Aráoz, Rómulo [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2010 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer-Verlag 2010 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Analytical and bioanalytical chemistry - Berlin : Springer, 2002, 397(2010), 5 vom: 19. März, Seite 1695-1704 |
|---|---|
| Übergeordnetes Werk: |
volume:397 ; year:2010 ; number:5 ; day:19 ; month:03 ; pages:1695-1704 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00216-010-3533-y |
|---|
| Katalog-ID: |
SPR002189747 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR002189747 | ||
| 003 | DE-627 | ||
| 005 | 20230519223414.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 201001s2010 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00216-010-3533-y |2 doi | |
| 035 | |a (DE-627)SPR002189747 | ||
| 035 | |a (SPR)s00216-010-3533-y-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Aráoz, Rómulo |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors |
| 264 | 1 | |c 2010 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © Springer-Verlag 2010 | ||
| 520 | |a Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones | ||
| 650 | 4 | |a Receptor binding assay |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cyanobacterial neurotoxins |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Anatoxin-a |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nicotinic acetylcholine receptors |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Vilariño, Natalia |4 aut | |
| 700 | 1 | |a Botana, Luis M. |4 aut | |
| 700 | 1 | |a Molgó, Jordi |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Analytical and bioanalytical chemistry |d Berlin : Springer, 2002 |g 397(2010), 5 vom: 19. März, Seite 1695-1704 |w (DE-627)25372337X |w (DE-600)1459122-4 |x 1618-2650 |7 nnns |
| 773 | 1 | 8 | |g volume:397 |g year:2010 |g number:5 |g day:19 |g month:03 |g pages:1695-1704 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1007/s00216-010-3533-y |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_SPRINGER | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_20 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_23 | ||
| 912 | |a GBV_ILN_24 | ||
| 912 | |a GBV_ILN_31 | ||
| 912 | |a GBV_ILN_32 | ||
| 912 | |a GBV_ILN_39 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_63 | ||
| 912 | |a GBV_ILN_65 | ||
| 912 | |a GBV_ILN_69 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_73 | ||
| 912 | |a GBV_ILN_74 | ||
| 912 | |a GBV_ILN_90 | ||
| 912 | |a GBV_ILN_95 | ||
| 912 | |a GBV_ILN_100 | ||
| 912 | |a GBV_ILN_101 | ||
| 912 | |a GBV_ILN_105 | ||
| 912 | |a GBV_ILN_110 | ||
| 912 | |a GBV_ILN_120 | ||
| 912 | |a GBV_ILN_138 | ||
| 912 | |a GBV_ILN_150 | ||
| 912 | |a GBV_ILN_151 | ||
| 912 | |a GBV_ILN_152 | ||
| 912 | |a GBV_ILN_161 | ||
| 912 | |a GBV_ILN_170 | ||
| 912 | |a GBV_ILN_171 | ||
| 912 | |a GBV_ILN_187 | ||
| 912 | |a GBV_ILN_206 | ||
| 912 | |a GBV_ILN_213 | ||
| 912 | |a GBV_ILN_224 | ||
| 912 | |a GBV_ILN_230 | ||
| 912 | |a GBV_ILN_250 | ||
| 912 | |a GBV_ILN_281 | ||
| 912 | |a GBV_ILN_285 | ||
| 912 | |a GBV_ILN_293 | ||
| 912 | |a GBV_ILN_370 | ||
| 912 | |a GBV_ILN_602 | ||
| 912 | |a GBV_ILN_636 | ||
| 912 | |a GBV_ILN_702 | ||
| 912 | |a GBV_ILN_2001 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2004 | ||
| 912 | |a GBV_ILN_2005 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_2007 | ||
| 912 | |a GBV_ILN_2008 | ||
| 912 | |a GBV_ILN_2009 | ||
| 912 | |a GBV_ILN_2010 | ||
| 912 | |a GBV_ILN_2011 | ||
| 912 | |a GBV_ILN_2014 | ||
| 912 | |a GBV_ILN_2015 | ||
| 912 | |a GBV_ILN_2020 | ||
| 912 | |a GBV_ILN_2021 | ||
| 912 | |a GBV_ILN_2025 | ||
| 912 | |a GBV_ILN_2026 | ||
| 912 | |a GBV_ILN_2027 | ||
| 912 | |a GBV_ILN_2031 | ||
| 912 | |a GBV_ILN_2034 | ||
| 912 | |a GBV_ILN_2037 | ||
| 912 | |a GBV_ILN_2038 | ||
| 912 | |a GBV_ILN_2039 | ||
| 912 | |a GBV_ILN_2044 | ||
| 912 | |a GBV_ILN_2048 | ||
| 912 | |a GBV_ILN_2049 | ||
| 912 | |a GBV_ILN_2050 | ||
| 912 | |a GBV_ILN_2055 | ||
| 912 | |a GBV_ILN_2056 | ||
| 912 | |a GBV_ILN_2057 | ||
| 912 | |a GBV_ILN_2059 | ||
| 912 | |a GBV_ILN_2061 | ||
| 912 | |a GBV_ILN_2064 | ||
| 912 | |a GBV_ILN_2065 | ||
| 912 | |a GBV_ILN_2068 | ||
| 912 | |a GBV_ILN_2070 | ||
| 912 | |a GBV_ILN_2086 | ||
| 912 | |a GBV_ILN_2088 | ||
| 912 | |a GBV_ILN_2093 | ||
| 912 | |a GBV_ILN_2106 | ||
| 912 | |a GBV_ILN_2107 | ||
| 912 | |a GBV_ILN_2108 | ||
| 912 | |a GBV_ILN_2110 | ||
| 912 | |a GBV_ILN_2111 | ||
| 912 | |a GBV_ILN_2112 | ||
| 912 | |a GBV_ILN_2113 | ||
| 912 | |a GBV_ILN_2116 | ||
| 912 | |a GBV_ILN_2118 | ||
| 912 | |a GBV_ILN_2119 | ||
| 912 | |a GBV_ILN_2122 | ||
| 912 | |a GBV_ILN_2129 | ||
| 912 | |a GBV_ILN_2143 | ||
| 912 | |a GBV_ILN_2144 | ||
| 912 | |a GBV_ILN_2147 | ||
| 912 | |a GBV_ILN_2148 | ||
| 912 | |a GBV_ILN_2152 | ||
| 912 | |a GBV_ILN_2153 | ||
| 912 | |a GBV_ILN_2188 | ||
| 912 | |a GBV_ILN_2190 | ||
| 912 | |a GBV_ILN_2232 | ||
| 912 | |a GBV_ILN_2336 | ||
| 912 | |a GBV_ILN_2360 | ||
| 912 | |a GBV_ILN_2446 | ||
| 912 | |a GBV_ILN_2470 | ||
| 912 | |a GBV_ILN_2507 | ||
| 912 | |a GBV_ILN_2522 | ||
| 912 | |a GBV_ILN_2548 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4035 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4046 | ||
| 912 | |a GBV_ILN_4112 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4126 | ||
| 912 | |a GBV_ILN_4242 | ||
| 912 | |a GBV_ILN_4246 | ||
| 912 | |a GBV_ILN_4249 | ||
| 912 | |a GBV_ILN_4251 | ||
| 912 | |a GBV_ILN_4277 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4306 | ||
| 912 | |a GBV_ILN_4307 | ||
| 912 | |a GBV_ILN_4313 | ||
| 912 | |a GBV_ILN_4322 | ||
| 912 | |a GBV_ILN_4323 | ||
| 912 | |a GBV_ILN_4324 | ||
| 912 | |a GBV_ILN_4325 | ||
| 912 | |a GBV_ILN_4326 | ||
| 912 | |a GBV_ILN_4328 | ||
| 912 | |a GBV_ILN_4333 | ||
| 912 | |a GBV_ILN_4334 | ||
| 912 | |a GBV_ILN_4335 | ||
| 912 | |a GBV_ILN_4336 | ||
| 912 | |a GBV_ILN_4338 | ||
| 912 | |a GBV_ILN_4393 | ||
| 912 | |a GBV_ILN_4700 | ||
| 951 | |a AR | ||
| 952 | |d 397 |j 2010 |e 5 |b 19 |c 03 |h 1695-1704 | ||
| author_variant |
r a ra n v nv l m b lm lmb j m jm |
|---|---|
| matchkey_str |
article:16182650:2010----::iadidnasyfrynbceilertxntreig |
| hierarchy_sort_str |
2010 |
| publishDate |
2010 |
| allfields |
10.1007/s00216-010-3533-y doi (DE-627)SPR002189747 (SPR)s00216-010-3533-y-e DE-627 ger DE-627 rakwb eng Aráoz, Rómulo verfasserin aut Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones Receptor binding assay (dpeaa)DE-He213 Cyanobacterial neurotoxins (dpeaa)DE-He213 Anatoxin-a (dpeaa)DE-He213 Nicotinic acetylcholine receptors (dpeaa)DE-He213 Vilariño, Natalia aut Botana, Luis M. aut Molgó, Jordi aut Enthalten in Analytical and bioanalytical chemistry Berlin : Springer, 2002 397(2010), 5 vom: 19. März, Seite 1695-1704 (DE-627)25372337X (DE-600)1459122-4 1618-2650 nnns volume:397 year:2010 number:5 day:19 month:03 pages:1695-1704 https://dx.doi.org/10.1007/s00216-010-3533-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 397 2010 5 19 03 1695-1704 |
| spelling |
10.1007/s00216-010-3533-y doi (DE-627)SPR002189747 (SPR)s00216-010-3533-y-e DE-627 ger DE-627 rakwb eng Aráoz, Rómulo verfasserin aut Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones Receptor binding assay (dpeaa)DE-He213 Cyanobacterial neurotoxins (dpeaa)DE-He213 Anatoxin-a (dpeaa)DE-He213 Nicotinic acetylcholine receptors (dpeaa)DE-He213 Vilariño, Natalia aut Botana, Luis M. aut Molgó, Jordi aut Enthalten in Analytical and bioanalytical chemistry Berlin : Springer, 2002 397(2010), 5 vom: 19. März, Seite 1695-1704 (DE-627)25372337X (DE-600)1459122-4 1618-2650 nnns volume:397 year:2010 number:5 day:19 month:03 pages:1695-1704 https://dx.doi.org/10.1007/s00216-010-3533-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 397 2010 5 19 03 1695-1704 |
| allfields_unstemmed |
10.1007/s00216-010-3533-y doi (DE-627)SPR002189747 (SPR)s00216-010-3533-y-e DE-627 ger DE-627 rakwb eng Aráoz, Rómulo verfasserin aut Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones Receptor binding assay (dpeaa)DE-He213 Cyanobacterial neurotoxins (dpeaa)DE-He213 Anatoxin-a (dpeaa)DE-He213 Nicotinic acetylcholine receptors (dpeaa)DE-He213 Vilariño, Natalia aut Botana, Luis M. aut Molgó, Jordi aut Enthalten in Analytical and bioanalytical chemistry Berlin : Springer, 2002 397(2010), 5 vom: 19. März, Seite 1695-1704 (DE-627)25372337X (DE-600)1459122-4 1618-2650 nnns volume:397 year:2010 number:5 day:19 month:03 pages:1695-1704 https://dx.doi.org/10.1007/s00216-010-3533-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 397 2010 5 19 03 1695-1704 |
| allfieldsGer |
10.1007/s00216-010-3533-y doi (DE-627)SPR002189747 (SPR)s00216-010-3533-y-e DE-627 ger DE-627 rakwb eng Aráoz, Rómulo verfasserin aut Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones Receptor binding assay (dpeaa)DE-He213 Cyanobacterial neurotoxins (dpeaa)DE-He213 Anatoxin-a (dpeaa)DE-He213 Nicotinic acetylcholine receptors (dpeaa)DE-He213 Vilariño, Natalia aut Botana, Luis M. aut Molgó, Jordi aut Enthalten in Analytical and bioanalytical chemistry Berlin : Springer, 2002 397(2010), 5 vom: 19. März, Seite 1695-1704 (DE-627)25372337X (DE-600)1459122-4 1618-2650 nnns volume:397 year:2010 number:5 day:19 month:03 pages:1695-1704 https://dx.doi.org/10.1007/s00216-010-3533-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 397 2010 5 19 03 1695-1704 |
| allfieldsSound |
10.1007/s00216-010-3533-y doi (DE-627)SPR002189747 (SPR)s00216-010-3533-y-e DE-627 ger DE-627 rakwb eng Aráoz, Rómulo verfasserin aut Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2010 Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones Receptor binding assay (dpeaa)DE-He213 Cyanobacterial neurotoxins (dpeaa)DE-He213 Anatoxin-a (dpeaa)DE-He213 Nicotinic acetylcholine receptors (dpeaa)DE-He213 Vilariño, Natalia aut Botana, Luis M. aut Molgó, Jordi aut Enthalten in Analytical and bioanalytical chemistry Berlin : Springer, 2002 397(2010), 5 vom: 19. März, Seite 1695-1704 (DE-627)25372337X (DE-600)1459122-4 1618-2650 nnns volume:397 year:2010 number:5 day:19 month:03 pages:1695-1704 https://dx.doi.org/10.1007/s00216-010-3533-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 397 2010 5 19 03 1695-1704 |
| language |
English |
| source |
Enthalten in Analytical and bioanalytical chemistry 397(2010), 5 vom: 19. März, Seite 1695-1704 volume:397 year:2010 number:5 day:19 month:03 pages:1695-1704 |
| sourceStr |
Enthalten in Analytical and bioanalytical chemistry 397(2010), 5 vom: 19. März, Seite 1695-1704 volume:397 year:2010 number:5 day:19 month:03 pages:1695-1704 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Receptor binding assay Cyanobacterial neurotoxins Anatoxin-a Nicotinic acetylcholine receptors |
| isfreeaccess_bool |
false |
| container_title |
Analytical and bioanalytical chemistry |
| authorswithroles_txt_mv |
Aráoz, Rómulo @@aut@@ Vilariño, Natalia @@aut@@ Botana, Luis M. @@aut@@ Molgó, Jordi @@aut@@ |
| publishDateDaySort_date |
2010-03-19T00:00:00Z |
| hierarchy_top_id |
25372337X |
| id |
SPR002189747 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR002189747</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519223414.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2010 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00216-010-3533-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR002189747</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00216-010-3533-y-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aráoz, Rómulo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2010</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Receptor binding assay</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cyanobacterial neurotoxins</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Anatoxin-a</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nicotinic acetylcholine receptors</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vilariño, Natalia</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Botana, Luis M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Molgó, Jordi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Analytical and bioanalytical chemistry</subfield><subfield code="d">Berlin : Springer, 2002</subfield><subfield code="g">397(2010), 5 vom: 19. März, Seite 1695-1704</subfield><subfield code="w">(DE-627)25372337X</subfield><subfield code="w">(DE-600)1459122-4</subfield><subfield code="x">1618-2650</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:397</subfield><subfield code="g">year:2010</subfield><subfield code="g">number:5</subfield><subfield code="g">day:19</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:1695-1704</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00216-010-3533-y</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2070</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2086</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2116</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2360</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">397</subfield><subfield code="j">2010</subfield><subfield code="e">5</subfield><subfield code="b">19</subfield><subfield code="c">03</subfield><subfield code="h">1695-1704</subfield></datafield></record></collection>
|
| author |
Aráoz, Rómulo |
| spellingShingle |
Aráoz, Rómulo misc Receptor binding assay misc Cyanobacterial neurotoxins misc Anatoxin-a misc Nicotinic acetylcholine receptors Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors |
| authorStr |
Aráoz, Rómulo |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)25372337X |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut aut aut |
| collection |
springer |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
1618-2650 |
| topic_title |
Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors Receptor binding assay (dpeaa)DE-He213 Cyanobacterial neurotoxins (dpeaa)DE-He213 Anatoxin-a (dpeaa)DE-He213 Nicotinic acetylcholine receptors (dpeaa)DE-He213 |
| topic |
misc Receptor binding assay misc Cyanobacterial neurotoxins misc Anatoxin-a misc Nicotinic acetylcholine receptors |
| topic_unstemmed |
misc Receptor binding assay misc Cyanobacterial neurotoxins misc Anatoxin-a misc Nicotinic acetylcholine receptors |
| topic_browse |
misc Receptor binding assay misc Cyanobacterial neurotoxins misc Anatoxin-a misc Nicotinic acetylcholine receptors |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Analytical and bioanalytical chemistry |
| hierarchy_parent_id |
25372337X |
| hierarchy_top_title |
Analytical and bioanalytical chemistry |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)25372337X (DE-600)1459122-4 |
| title |
Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors |
| ctrlnum |
(DE-627)SPR002189747 (SPR)s00216-010-3533-y-e |
| title_full |
Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors |
| author_sort |
Aráoz, Rómulo |
| journal |
Analytical and bioanalytical chemistry |
| journalStr |
Analytical and bioanalytical chemistry |
| lang_code |
eng |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
2010 |
| contenttype_str_mv |
txt |
| container_start_page |
1695 |
| author_browse |
Aráoz, Rómulo Vilariño, Natalia Botana, Luis M. Molgó, Jordi |
| container_volume |
397 |
| format_se |
Elektronische Aufsätze |
| author-letter |
Aráoz, Rómulo |
| doi_str_mv |
10.1007/s00216-010-3533-y |
| title_sort |
ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors |
| title_auth |
Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors |
| abstract |
Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones © Springer-Verlag 2010 |
| abstractGer |
Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones © Springer-Verlag 2010 |
| abstract_unstemmed |
Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones © Springer-Verlag 2010 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 |
| container_issue |
5 |
| title_short |
Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors |
| url |
https://dx.doi.org/10.1007/s00216-010-3533-y |
| remote_bool |
true |
| author2 |
Vilariño, Natalia Botana, Luis M. Molgó, Jordi |
| author2Str |
Vilariño, Natalia Botana, Luis M. Molgó, Jordi |
| ppnlink |
25372337X |
| mediatype_str_mv |
c |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s00216-010-3533-y |
| up_date |
2024-07-04T02:05:35.924Z |
| _version_ |
1803612309082341376 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR002189747</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519223414.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2010 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00216-010-3533-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR002189747</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00216-010-3533-y-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aráoz, Rómulo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Ligand-binding assays for cyanobacterial neurotoxins targeting cholinergic receptors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2010</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Toxic cyanobacterial blooms are a threat to public health because of the capacity of some cyanobacterial species to produce potent hepatotoxins and neurotoxins. Cyanobacterial neurotoxins are involved in the rapid death of wild and domestic animals by targeting voltage gated sodium channels and cholinergic synapses, including the neuromuscular junction. Anatoxin-a and its methylene homologue homoanatoxin-a are potent agonists of nicotinic acetylcholine receptors. Since the structural determination of anatoxin-a, several mass spectrometry-based methods have been developed for detection of anatoxin-a and, later, homoanatoxin-a. Mass spectrometry-based techniques provide accuracy, precision, selectivity, sensitivity, reproducibility, adequate limit of detection, and structural and quantitative information for analyses of cyanobacterial anatoxins from cultured and environmental cyanobacterial samples. However, these physicochemical techniques will only detect known toxins for which toxin standards are commercially available, and they require highly specialized laboratory personnel and expensive equipment. Receptor-based assays are functional methods that are based on the mechanism of action of a class of toxins and are thus, suitable tools for survey of freshwater reservoirs for cyanobacterial anatoxins. The competition between cyanobacterial anatoxins and a labelled ligand for binding to nicotinic acetylcholine receptors is measured radioactively or non-radioactively providing high-throughput screening formats for routine detection of this class of neurotoxins. The mouse bioassay is the method of choice for marine toxin monitoring, but has to be replaced by fully validated functional methods. In this paper we review the ligand-binding assays developed for detection of cyanobacterial and algal neurotoxins targeting the nicotinic acetylcholine receptors and for high-throughput screening of novel nicotinic agents. FigureNon-radioactive ligand-binding assay for cyanobacterial anatoxins. The detection method (**) is among the highly sensitive ones</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Receptor binding assay</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cyanobacterial neurotoxins</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Anatoxin-a</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nicotinic acetylcholine receptors</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vilariño, Natalia</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Botana, Luis M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Molgó, Jordi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Analytical and bioanalytical chemistry</subfield><subfield code="d">Berlin : Springer, 2002</subfield><subfield code="g">397(2010), 5 vom: 19. März, Seite 1695-1704</subfield><subfield code="w">(DE-627)25372337X</subfield><subfield code="w">(DE-600)1459122-4</subfield><subfield code="x">1618-2650</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:397</subfield><subfield code="g">year:2010</subfield><subfield code="g">number:5</subfield><subfield code="g">day:19</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:1695-1704</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00216-010-3533-y</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2070</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2086</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2116</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2360</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4277</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">397</subfield><subfield code="j">2010</subfield><subfield code="e">5</subfield><subfield code="b">19</subfield><subfield code="c">03</subfield><subfield code="h">1695-1704</subfield></datafield></record></collection>
|
| score |
7.401272 |