Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease

Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have bee...
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Autor*in:	Munsoor A Hanifa [verfasserIn] Martin Skott [verfasserIn] Raluca G Maltesen [verfasserIn] Bodil S Rasmussen [verfasserIn] Søren Nielsen [verfasserIn] Jørgen Frøkiær [verfasserIn] Troels Ring [verfasserIn] Reinhard Wimmer [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Chronic kidney disease NMR Metabolomics Rat 5/6 Nephrectomy

Übergeordnetes Werk:	In: Data in Brief - Elsevier, 2015, 33(2020), Seite 106567-
Übergeordnetes Werk:	volume:33 ; year:2020 ; pages:106567-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.dib.2020.106567

Katalog-ID:	DOAJ016218779

Internformat


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allfields_unstemmed	10.1016/j.dib.2020.106567 doi (DE-627)DOAJ016218779 (DE-599)DOAJc8210c6ecd944ca993b18ae746c342e6 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Munsoor A Hanifa verfasserin aut Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have been reported elsewhere (https://doi.org/10.1007/s11306-019-1569-3 [1]). The data could be useful to researchers working with human CKD or rat models of the disease. In addition, several different types of NMR spectra were recorded, including 1D NOESY, CPMG, and 2D J-resolved spectra, and the data could be useful for method comparison and algorithm development, both in terms of NMR spectroscopy and multivariate analysis. Chronic kidney disease NMR Metabolomics Rat 5/6 Nephrectomy Computer applications to medicine. Medical informatics Science (General) Martin Skott verfasserin aut Raluca G Maltesen verfasserin aut Bodil S Rasmussen verfasserin aut Søren Nielsen verfasserin aut Jørgen Frøkiær verfasserin aut Troels Ring verfasserin aut Reinhard Wimmer verfasserin aut In Data in Brief Elsevier, 2015 33(2020), Seite 106567- (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:33 year:2020 pages:106567- https://doi.org/10.1016/j.dib.2020.106567 kostenfrei https://doaj.org/article/c8210c6ecd944ca993b18ae746c342e6 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340920314499 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2020 106567-
allfieldsGer	10.1016/j.dib.2020.106567 doi (DE-627)DOAJ016218779 (DE-599)DOAJc8210c6ecd944ca993b18ae746c342e6 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Munsoor A Hanifa verfasserin aut Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have been reported elsewhere (https://doi.org/10.1007/s11306-019-1569-3 [1]). The data could be useful to researchers working with human CKD or rat models of the disease. In addition, several different types of NMR spectra were recorded, including 1D NOESY, CPMG, and 2D J-resolved spectra, and the data could be useful for method comparison and algorithm development, both in terms of NMR spectroscopy and multivariate analysis. Chronic kidney disease NMR Metabolomics Rat 5/6 Nephrectomy Computer applications to medicine. Medical informatics Science (General) Martin Skott verfasserin aut Raluca G Maltesen verfasserin aut Bodil S Rasmussen verfasserin aut Søren Nielsen verfasserin aut Jørgen Frøkiær verfasserin aut Troels Ring verfasserin aut Reinhard Wimmer verfasserin aut In Data in Brief Elsevier, 2015 33(2020), Seite 106567- (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:33 year:2020 pages:106567- https://doi.org/10.1016/j.dib.2020.106567 kostenfrei https://doaj.org/article/c8210c6ecd944ca993b18ae746c342e6 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340920314499 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2020 106567-
allfieldsSound	10.1016/j.dib.2020.106567 doi (DE-627)DOAJ016218779 (DE-599)DOAJc8210c6ecd944ca993b18ae746c342e6 DE-627 ger DE-627 rakwb eng R858-859.7 Q1-390 Munsoor A Hanifa verfasserin aut Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have been reported elsewhere (https://doi.org/10.1007/s11306-019-1569-3 [1]). The data could be useful to researchers working with human CKD or rat models of the disease. In addition, several different types of NMR spectra were recorded, including 1D NOESY, CPMG, and 2D J-resolved spectra, and the data could be useful for method comparison and algorithm development, both in terms of NMR spectroscopy and multivariate analysis. Chronic kidney disease NMR Metabolomics Rat 5/6 Nephrectomy Computer applications to medicine. Medical informatics Science (General) Martin Skott verfasserin aut Raluca G Maltesen verfasserin aut Bodil S Rasmussen verfasserin aut Søren Nielsen verfasserin aut Jørgen Frøkiær verfasserin aut Troels Ring verfasserin aut Reinhard Wimmer verfasserin aut In Data in Brief Elsevier, 2015 33(2020), Seite 106567- (DE-627)797838937 (DE-600)2786545-9 23523409 nnns volume:33 year:2020 pages:106567- https://doi.org/10.1016/j.dib.2020.106567 kostenfrei https://doaj.org/article/c8210c6ecd944ca993b18ae746c342e6 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352340920314499 kostenfrei https://doaj.org/toc/2352-3409 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 33 2020 106567-
language	English
source	In Data in Brief 33(2020), Seite 106567- volume:33 year:2020 pages:106567-
sourceStr	In Data in Brief 33(2020), Seite 106567- volume:33 year:2020 pages:106567-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Chronic kidney disease NMR Metabolomics Rat 5/6 Nephrectomy Computer applications to medicine. Medical informatics Science (General)
isfreeaccess_bool	true
container_title	Data in Brief
authorswithroles_txt_mv	Munsoor A Hanifa @@aut@@ Martin Skott @@aut@@ Raluca G Maltesen @@aut@@ Bodil S Rasmussen @@aut@@ Søren Nielsen @@aut@@ Jørgen Frøkiær @@aut@@ Troels Ring @@aut@@ Reinhard Wimmer @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	797838937
id	DOAJ016218779
language_de	englisch
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callnumber-first	R - Medicine
author	Munsoor A Hanifa
spellingShingle	Munsoor A Hanifa misc R858-859.7 misc Q1-390 misc Chronic kidney disease misc NMR misc Metabolomics misc Rat misc 5/6 Nephrectomy misc Computer applications to medicine. Medical informatics misc Science (General) Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease
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topic_title	R858-859.7 Q1-390 Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease Chronic kidney disease NMR Metabolomics Rat 5/6 Nephrectomy
topic	misc R858-859.7 misc Q1-390 misc Chronic kidney disease misc NMR misc Metabolomics misc Rat misc 5/6 Nephrectomy misc Computer applications to medicine. Medical informatics misc Science (General)
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title	Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease
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title_full	Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease
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title_sort	tissue, urine and serum nmr metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease
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title_auth	Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease
abstract	Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have been reported elsewhere (https://doi.org/10.1007/s11306-019-1569-3 [1]). The data could be useful to researchers working with human CKD or rat models of the disease. In addition, several different types of NMR spectra were recorded, including 1D NOESY, CPMG, and 2D J-resolved spectra, and the data could be useful for method comparison and algorithm development, both in terms of NMR spectroscopy and multivariate analysis.
abstractGer	Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have been reported elsewhere (https://doi.org/10.1007/s11306-019-1569-3 [1]). The data could be useful to researchers working with human CKD or rat models of the disease. In addition, several different types of NMR spectra were recorded, including 1D NOESY, CPMG, and 2D J-resolved spectra, and the data could be useful for method comparison and algorithm development, both in terms of NMR spectroscopy and multivariate analysis.
abstract_unstemmed	Serum, urine and tissue from a rat model of chronic kidney disease (CKD) were analysed using nuclear magnetic resonance (NMR) spectroscopy-based metabolomics methods, and compared with samples from sham operated rats. Both urine and serum were sampled at multiple timepoints, and the results have been reported elsewhere (https://doi.org/10.1007/s11306-019-1569-3 [1]). The data could be useful to researchers working with human CKD or rat models of the disease. In addition, several different types of NMR spectra were recorded, including 1D NOESY, CPMG, and 2D J-resolved spectra, and the data could be useful for method comparison and algorithm development, both in terms of NMR spectroscopy and multivariate analysis.
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title_short	Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease
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Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease

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