A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma
Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. Thi...
Ausführliche Beschreibung
Autor*in: |
Patil, Nitin - 1976- [verfasserIn] Abba, Mohammed L. - 1974- [verfasserIn] Allgayer, Heike - 1969- [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
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Anmerkung: |
Available online 18 March 2014 Gesehen am 28.06.2018 |
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Umfang: |
9 |
Übergeordnetes Werk: |
Enthalten in: Advances in medical sciences - Amsterdam [u.a.] : Elsevier, 2006, 57(2012), 1, Seite 37-45 |
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Übergeordnetes Werk: |
volume:57 ; year:2012 ; number:1 ; pages:37-45 ; extent:9 |
Links: |
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DOI / URN: |
10.2478/v10039-012-0018-6 |
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Katalog-ID: |
1576937674 |
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245 | 1 | 2 | |a A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma |c N Patil, M Abba, P Hödl, M Schwarzbach, H Allgayer |
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520 | |a Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. | ||
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10.2478/v10039-012-0018-6 doi (DE-627)1576937674 (DE-576)506937674 (DE-599)BSZ506937674 (OCoLC)1341012563 DE-627 ger DE-627 rda eng Patil, Nitin 1976- verfasserin (DE-588)1031802177 (DE-627)747795371 (DE-576)379534622 aut A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma N Patil, M Abba, P Hödl, M Schwarzbach, H Allgayer 2012 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 18 March 2014 Gesehen am 28.06.2018 Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. detection FUS-CHOP fusion transcript liposarcoma Abba, Mohammed L. 1974- verfasserin (DE-588)1024986101 (DE-627)720854369 (DE-576)369801407 aut Allgayer, Heike 1969- verfasserin (DE-588)1024987884 (DE-627)720854466 (DE-576)369805003 aut Enthalten in Advances in medical sciences Amsterdam [u.a.] : Elsevier, 2006 57(2012), 1, Seite 37-45 Online-Ressource (DE-627)525874348 (DE-600)2273671-2 (DE-576)281335524 1898-4002 nnns volume:57 year:2012 number:1 pages:37-45 extent:9 http://dx.doi.org/10.2478/v10039-012-0018-6 Verlag Resolving-System kostenfrei Volltext http://www.sciencedirect.com/science/article/pii/S1896112614601061 Verlag kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 57 2012 1 37-45 9 2013 01 DE-16-250 3014620211 00 --%%-- --%%-- --%%-- --%%-- l01 28-06-18 2403 01 DE-LFER 3017152952 00 --%%-- --%%-- n --%%-- l01 10-07-18 2403 01 DE-LFER http://dx.doi.org/10.2478/v10039-012-0018-6 2013 01 DE-16-250 00 s hd2012 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_5 2013 01 DE-16-250 03 s s_9 2013 01 DE-16-250 04 p (DE-627)1524969370 Patil, Nitin 2013 01 DE-16-250 04 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1439807345 Abba, Mohammed L. 2013 01 DE-16-250 05 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1439807183 Allgayer, Heike 2013 01 DE-16-250 06 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_5 |
spelling |
10.2478/v10039-012-0018-6 doi (DE-627)1576937674 (DE-576)506937674 (DE-599)BSZ506937674 (OCoLC)1341012563 DE-627 ger DE-627 rda eng Patil, Nitin 1976- verfasserin (DE-588)1031802177 (DE-627)747795371 (DE-576)379534622 aut A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma N Patil, M Abba, P Hödl, M Schwarzbach, H Allgayer 2012 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 18 March 2014 Gesehen am 28.06.2018 Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. detection FUS-CHOP fusion transcript liposarcoma Abba, Mohammed L. 1974- verfasserin (DE-588)1024986101 (DE-627)720854369 (DE-576)369801407 aut Allgayer, Heike 1969- verfasserin (DE-588)1024987884 (DE-627)720854466 (DE-576)369805003 aut Enthalten in Advances in medical sciences Amsterdam [u.a.] : Elsevier, 2006 57(2012), 1, Seite 37-45 Online-Ressource (DE-627)525874348 (DE-600)2273671-2 (DE-576)281335524 1898-4002 nnns volume:57 year:2012 number:1 pages:37-45 extent:9 http://dx.doi.org/10.2478/v10039-012-0018-6 Verlag Resolving-System kostenfrei Volltext http://www.sciencedirect.com/science/article/pii/S1896112614601061 Verlag kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 57 2012 1 37-45 9 2013 01 DE-16-250 3014620211 00 --%%-- --%%-- --%%-- --%%-- l01 28-06-18 2403 01 DE-LFER 3017152952 00 --%%-- --%%-- n --%%-- l01 10-07-18 2403 01 DE-LFER http://dx.doi.org/10.2478/v10039-012-0018-6 2013 01 DE-16-250 00 s hd2012 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_5 2013 01 DE-16-250 03 s s_9 2013 01 DE-16-250 04 p (DE-627)1524969370 Patil, Nitin 2013 01 DE-16-250 04 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1439807345 Abba, Mohammed L. 2013 01 DE-16-250 05 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1439807183 Allgayer, Heike 2013 01 DE-16-250 06 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_5 |
allfields_unstemmed |
10.2478/v10039-012-0018-6 doi (DE-627)1576937674 (DE-576)506937674 (DE-599)BSZ506937674 (OCoLC)1341012563 DE-627 ger DE-627 rda eng Patil, Nitin 1976- verfasserin (DE-588)1031802177 (DE-627)747795371 (DE-576)379534622 aut A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma N Patil, M Abba, P Hödl, M Schwarzbach, H Allgayer 2012 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 18 March 2014 Gesehen am 28.06.2018 Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. detection FUS-CHOP fusion transcript liposarcoma Abba, Mohammed L. 1974- verfasserin (DE-588)1024986101 (DE-627)720854369 (DE-576)369801407 aut Allgayer, Heike 1969- verfasserin (DE-588)1024987884 (DE-627)720854466 (DE-576)369805003 aut Enthalten in Advances in medical sciences Amsterdam [u.a.] : Elsevier, 2006 57(2012), 1, Seite 37-45 Online-Ressource (DE-627)525874348 (DE-600)2273671-2 (DE-576)281335524 1898-4002 nnns volume:57 year:2012 number:1 pages:37-45 extent:9 http://dx.doi.org/10.2478/v10039-012-0018-6 Verlag Resolving-System kostenfrei Volltext http://www.sciencedirect.com/science/article/pii/S1896112614601061 Verlag kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 57 2012 1 37-45 9 2013 01 DE-16-250 3014620211 00 --%%-- --%%-- --%%-- --%%-- l01 28-06-18 2403 01 DE-LFER 3017152952 00 --%%-- --%%-- n --%%-- l01 10-07-18 2403 01 DE-LFER http://dx.doi.org/10.2478/v10039-012-0018-6 2013 01 DE-16-250 00 s hd2012 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_5 2013 01 DE-16-250 03 s s_9 2013 01 DE-16-250 04 p (DE-627)1524969370 Patil, Nitin 2013 01 DE-16-250 04 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1439807345 Abba, Mohammed L. 2013 01 DE-16-250 05 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1439807183 Allgayer, Heike 2013 01 DE-16-250 06 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_5 |
allfieldsGer |
10.2478/v10039-012-0018-6 doi (DE-627)1576937674 (DE-576)506937674 (DE-599)BSZ506937674 (OCoLC)1341012563 DE-627 ger DE-627 rda eng Patil, Nitin 1976- verfasserin (DE-588)1031802177 (DE-627)747795371 (DE-576)379534622 aut A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma N Patil, M Abba, P Hödl, M Schwarzbach, H Allgayer 2012 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 18 March 2014 Gesehen am 28.06.2018 Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. detection FUS-CHOP fusion transcript liposarcoma Abba, Mohammed L. 1974- verfasserin (DE-588)1024986101 (DE-627)720854369 (DE-576)369801407 aut Allgayer, Heike 1969- verfasserin (DE-588)1024987884 (DE-627)720854466 (DE-576)369805003 aut Enthalten in Advances in medical sciences Amsterdam [u.a.] : Elsevier, 2006 57(2012), 1, Seite 37-45 Online-Ressource (DE-627)525874348 (DE-600)2273671-2 (DE-576)281335524 1898-4002 nnns volume:57 year:2012 number:1 pages:37-45 extent:9 http://dx.doi.org/10.2478/v10039-012-0018-6 Verlag Resolving-System kostenfrei Volltext http://www.sciencedirect.com/science/article/pii/S1896112614601061 Verlag kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 57 2012 1 37-45 9 2013 01 DE-16-250 3014620211 00 --%%-- --%%-- --%%-- --%%-- l01 28-06-18 2403 01 DE-LFER 3017152952 00 --%%-- --%%-- n --%%-- l01 10-07-18 2403 01 DE-LFER http://dx.doi.org/10.2478/v10039-012-0018-6 2013 01 DE-16-250 00 s hd2012 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_5 2013 01 DE-16-250 03 s s_9 2013 01 DE-16-250 04 p (DE-627)1524969370 Patil, Nitin 2013 01 DE-16-250 04 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1439807345 Abba, Mohammed L. 2013 01 DE-16-250 05 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1439807183 Allgayer, Heike 2013 01 DE-16-250 06 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_5 |
allfieldsSound |
10.2478/v10039-012-0018-6 doi (DE-627)1576937674 (DE-576)506937674 (DE-599)BSZ506937674 (OCoLC)1341012563 DE-627 ger DE-627 rda eng Patil, Nitin 1976- verfasserin (DE-588)1031802177 (DE-627)747795371 (DE-576)379534622 aut A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma N Patil, M Abba, P Hödl, M Schwarzbach, H Allgayer 2012 9 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Available online 18 March 2014 Gesehen am 28.06.2018 Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. detection FUS-CHOP fusion transcript liposarcoma Abba, Mohammed L. 1974- verfasserin (DE-588)1024986101 (DE-627)720854369 (DE-576)369801407 aut Allgayer, Heike 1969- verfasserin (DE-588)1024987884 (DE-627)720854466 (DE-576)369805003 aut Enthalten in Advances in medical sciences Amsterdam [u.a.] : Elsevier, 2006 57(2012), 1, Seite 37-45 Online-Ressource (DE-627)525874348 (DE-600)2273671-2 (DE-576)281335524 1898-4002 nnns volume:57 year:2012 number:1 pages:37-45 extent:9 http://dx.doi.org/10.2478/v10039-012-0018-6 Verlag Resolving-System kostenfrei Volltext http://www.sciencedirect.com/science/article/pii/S1896112614601061 Verlag kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_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_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 57 2012 1 37-45 9 2013 01 DE-16-250 3014620211 00 --%%-- --%%-- --%%-- --%%-- l01 28-06-18 2403 01 DE-LFER 3017152952 00 --%%-- --%%-- n --%%-- l01 10-07-18 2403 01 DE-LFER http://dx.doi.org/10.2478/v10039-012-0018-6 2013 01 DE-16-250 00 s hd2012 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_5 2013 01 DE-16-250 03 s s_9 2013 01 DE-16-250 04 p (DE-627)1524969370 Patil, Nitin 2013 01 DE-16-250 04 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1439807345 Abba, Mohammed L. 2013 01 DE-16-250 05 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1439807183 Allgayer, Heike 2013 01 DE-16-250 06 k (DE-627)1416467505 Chirurgische Klinik 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_5 |
language |
English |
source |
Enthalten in Advances in medical sciences 57(2012), 1, Seite 37-45 volume:57 year:2012 number:1 pages:37-45 extent:9 |
sourceStr |
Enthalten in Advances in medical sciences 57(2012), 1, Seite 37-45 volume:57 year:2012 number:1 pages:37-45 extent:9 |
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detection FUS-CHOP fusion transcript liposarcoma |
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Advances in medical sciences |
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Patil, Nitin @@aut@@ Abba, Mohammed L. @@aut@@ Allgayer, Heike @@aut@@ |
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This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. 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A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma |
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Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. Available online 18 March 2014 Gesehen am 28.06.2018 |
abstractGer |
Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. Available online 18 March 2014 Gesehen am 28.06.2018 |
abstract_unstemmed |
Purpose Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts. Materials and methods In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues. Results Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts. Conclusion This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. Available online 18 March 2014 Gesehen am 28.06.2018 |
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