Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery

Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies...
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Autor*in:	Rodosthenis S. Rodosthenous [verfasserIn] Elizabeth Hutchins [verfasserIn] Rebecca Reiman [verfasserIn] Ashish S. Yeri [verfasserIn] Srimeenakshi Srinivasan [verfasserIn] Timothy G. Whitsett [verfasserIn] Ionita Ghiran [verfasserIn] Michael G. Silverman [verfasserIn] Louise C. Laurent [verfasserIn] Kendall Van Keuren-Jensen [verfasserIn] Saumya Das [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Medical Laboratory Technology Omics Transcriptomics

Übergeordnetes Werk:	In: iScience - Elsevier, 2019, 23(2020), 6, Seite 101182-
Übergeordnetes Werk:	volume:23 ; year:2020 ; number:6 ; pages:101182-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.isci.2020.101182

Katalog-ID:	DOAJ065655559

Internformat


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520			\|a Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery.
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allfields	10.1016/j.isci.2020.101182 doi (DE-627)DOAJ065655559 (DE-599)DOAJ3990f5bfe0ea4c04a111b10538130443 DE-627 ger DE-627 rakwb eng Rodosthenis S. Rodosthenous verfasserin aut Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery. Medical Laboratory Technology Omics Transcriptomics Science Q Elizabeth Hutchins verfasserin aut Rebecca Reiman verfasserin aut Ashish S. Yeri verfasserin aut Srimeenakshi Srinivasan verfasserin aut Timothy G. Whitsett verfasserin aut Ionita Ghiran verfasserin aut Michael G. Silverman verfasserin aut Louise C. Laurent verfasserin aut Kendall Van Keuren-Jensen verfasserin aut Saumya Das verfasserin aut In iScience Elsevier, 2019 23(2020), 6, Seite 101182- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:6 pages:101182- https://doi.org/10.1016/j.isci.2020.101182 kostenfrei https://doaj.org/article/3990f5bfe0ea4c04a111b10538130443 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220303679 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 6 101182-
spelling	10.1016/j.isci.2020.101182 doi (DE-627)DOAJ065655559 (DE-599)DOAJ3990f5bfe0ea4c04a111b10538130443 DE-627 ger DE-627 rakwb eng Rodosthenis S. Rodosthenous verfasserin aut Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery. Medical Laboratory Technology Omics Transcriptomics Science Q Elizabeth Hutchins verfasserin aut Rebecca Reiman verfasserin aut Ashish S. Yeri verfasserin aut Srimeenakshi Srinivasan verfasserin aut Timothy G. Whitsett verfasserin aut Ionita Ghiran verfasserin aut Michael G. Silverman verfasserin aut Louise C. Laurent verfasserin aut Kendall Van Keuren-Jensen verfasserin aut Saumya Das verfasserin aut In iScience Elsevier, 2019 23(2020), 6, Seite 101182- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:6 pages:101182- https://doi.org/10.1016/j.isci.2020.101182 kostenfrei https://doaj.org/article/3990f5bfe0ea4c04a111b10538130443 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220303679 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 6 101182-
allfields_unstemmed	10.1016/j.isci.2020.101182 doi (DE-627)DOAJ065655559 (DE-599)DOAJ3990f5bfe0ea4c04a111b10538130443 DE-627 ger DE-627 rakwb eng Rodosthenis S. Rodosthenous verfasserin aut Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery. Medical Laboratory Technology Omics Transcriptomics Science Q Elizabeth Hutchins verfasserin aut Rebecca Reiman verfasserin aut Ashish S. Yeri verfasserin aut Srimeenakshi Srinivasan verfasserin aut Timothy G. Whitsett verfasserin aut Ionita Ghiran verfasserin aut Michael G. Silverman verfasserin aut Louise C. Laurent verfasserin aut Kendall Van Keuren-Jensen verfasserin aut Saumya Das verfasserin aut In iScience Elsevier, 2019 23(2020), 6, Seite 101182- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:6 pages:101182- https://doi.org/10.1016/j.isci.2020.101182 kostenfrei https://doaj.org/article/3990f5bfe0ea4c04a111b10538130443 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220303679 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 6 101182-
allfieldsGer	10.1016/j.isci.2020.101182 doi (DE-627)DOAJ065655559 (DE-599)DOAJ3990f5bfe0ea4c04a111b10538130443 DE-627 ger DE-627 rakwb eng Rodosthenis S. Rodosthenous verfasserin aut Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery. Medical Laboratory Technology Omics Transcriptomics Science Q Elizabeth Hutchins verfasserin aut Rebecca Reiman verfasserin aut Ashish S. Yeri verfasserin aut Srimeenakshi Srinivasan verfasserin aut Timothy G. Whitsett verfasserin aut Ionita Ghiran verfasserin aut Michael G. Silverman verfasserin aut Louise C. Laurent verfasserin aut Kendall Van Keuren-Jensen verfasserin aut Saumya Das verfasserin aut In iScience Elsevier, 2019 23(2020), 6, Seite 101182- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:6 pages:101182- https://doi.org/10.1016/j.isci.2020.101182 kostenfrei https://doaj.org/article/3990f5bfe0ea4c04a111b10538130443 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220303679 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 6 101182-
allfieldsSound	10.1016/j.isci.2020.101182 doi (DE-627)DOAJ065655559 (DE-599)DOAJ3990f5bfe0ea4c04a111b10538130443 DE-627 ger DE-627 rakwb eng Rodosthenis S. Rodosthenous verfasserin aut Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery. Medical Laboratory Technology Omics Transcriptomics Science Q Elizabeth Hutchins verfasserin aut Rebecca Reiman verfasserin aut Ashish S. Yeri verfasserin aut Srimeenakshi Srinivasan verfasserin aut Timothy G. Whitsett verfasserin aut Ionita Ghiran verfasserin aut Michael G. Silverman verfasserin aut Louise C. Laurent verfasserin aut Kendall Van Keuren-Jensen verfasserin aut Saumya Das verfasserin aut In iScience Elsevier, 2019 23(2020), 6, Seite 101182- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:6 pages:101182- https://doi.org/10.1016/j.isci.2020.101182 kostenfrei https://doaj.org/article/3990f5bfe0ea4c04a111b10538130443 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220303679 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 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_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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 6 101182-
language	English
source	In iScience 23(2020), 6, Seite 101182- volume:23 year:2020 number:6 pages:101182-
sourceStr	In iScience 23(2020), 6, Seite 101182- volume:23 year:2020 number:6 pages:101182-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Medical Laboratory Technology Omics Transcriptomics Science Q
isfreeaccess_bool	true
container_title	iScience
authorswithroles_txt_mv	Rodosthenis S. Rodosthenous @@aut@@ Elizabeth Hutchins @@aut@@ Rebecca Reiman @@aut@@ Ashish S. Yeri @@aut@@ Srimeenakshi Srinivasan @@aut@@ Timothy G. Whitsett @@aut@@ Ionita Ghiran @@aut@@ Michael G. Silverman @@aut@@ Louise C. Laurent @@aut@@ Kendall Van Keuren-Jensen @@aut@@ Saumya Das @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	1019532106
id	DOAJ065655559
language_de	englisch
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author	Rodosthenis S. Rodosthenous
spellingShingle	Rodosthenis S. Rodosthenous misc Medical Laboratory Technology misc Omics misc Transcriptomics misc Science misc Q Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery
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topic_title	Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery Medical Laboratory Technology Omics Transcriptomics
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title	Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery
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title_full	Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery
author_sort	Rodosthenis S. Rodosthenous
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author_browse	Rodosthenis S. Rodosthenous Elizabeth Hutchins Rebecca Reiman Ashish S. Yeri Srimeenakshi Srinivasan Timothy G. Whitsett Ionita Ghiran Michael G. Silverman Louise C. Laurent Kendall Van Keuren-Jensen Saumya Das
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author-letter	Rodosthenis S. Rodosthenous
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title_sort	profiling extracellular long rna transcriptome in human plasma and extracellular vesicles for biomarker discovery
title_auth	Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery
abstract	Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery.
abstractGer	Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery.
abstract_unstemmed	Summary: The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery.
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title_short	Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery
url	https://doi.org/10.1016/j.isci.2020.101182 https://doaj.org/article/3990f5bfe0ea4c04a111b10538130443 http://www.sciencedirect.com/science/article/pii/S2589004220303679 https://doaj.org/toc/2589-0042
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up_date	2024-07-03T15:54:15.898Z
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