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AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana
RNA‐sequencing (RNA‐seq) allows global gene expression analysis at the individual transcript level. Accurate quantification of transcript variants generated by alternative splicing (AS) remains a challenge. We have developed a comprehensive, nonredundant Arabidopsis reference transcript dataset (AtR...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744958/ https://www.ncbi.nlm.nih.gov/pubmed/26111100 http://dx.doi.org/10.1111/nph.13545 |
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author | Zhang, Runxuan Calixto, Cristiane P. G. Tzioutziou, Nikoleta A. James, Allan B. Simpson, Craig G. Guo, Wenbin Marquez, Yamile Kalyna, Maria Patro, Rob Eyras, Eduardo Barta, Andrea Nimmo, Hugh G. Brown, John W. S. |
author_facet | Zhang, Runxuan Calixto, Cristiane P. G. Tzioutziou, Nikoleta A. James, Allan B. Simpson, Craig G. Guo, Wenbin Marquez, Yamile Kalyna, Maria Patro, Rob Eyras, Eduardo Barta, Andrea Nimmo, Hugh G. Brown, John W. S. |
author_sort | Zhang, Runxuan |
collection | PubMed |
description | RNA‐sequencing (RNA‐seq) allows global gene expression analysis at the individual transcript level. Accurate quantification of transcript variants generated by alternative splicing (AS) remains a challenge. We have developed a comprehensive, nonredundant Arabidopsis reference transcript dataset (AtRTD) containing over 74 000 transcripts for use with algorithms to quantify AS transcript isoforms in RNA‐seq. The AtRTD was formed by merging transcripts from TAIR10 and novel transcripts identified in an AS discovery project. We have estimated transcript abundance in RNA‐seq data using the transcriptome‐based alignment‐free programmes Sailfish and Salmon and have validated quantification of splicing ratios from RNA‐seq by high resolution reverse transcription polymerase chain reaction (HR RT‐PCR). Good correlations between splicing ratios from RNA‐seq and HR RT‐PCR were obtained demonstrating the accuracy of abundances calculated for individual transcripts in RNA‐seq. The AtRTD is a resource that will have immediate utility in analysing Arabidopsis RNA‐seq data to quantify differential transcript abundance and expression. |
format | Online Article Text |
id | pubmed-4744958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47449582016-02-18 AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana Zhang, Runxuan Calixto, Cristiane P. G. Tzioutziou, Nikoleta A. James, Allan B. Simpson, Craig G. Guo, Wenbin Marquez, Yamile Kalyna, Maria Patro, Rob Eyras, Eduardo Barta, Andrea Nimmo, Hugh G. Brown, John W. S. New Phytol Research RNA‐sequencing (RNA‐seq) allows global gene expression analysis at the individual transcript level. Accurate quantification of transcript variants generated by alternative splicing (AS) remains a challenge. We have developed a comprehensive, nonredundant Arabidopsis reference transcript dataset (AtRTD) containing over 74 000 transcripts for use with algorithms to quantify AS transcript isoforms in RNA‐seq. The AtRTD was formed by merging transcripts from TAIR10 and novel transcripts identified in an AS discovery project. We have estimated transcript abundance in RNA‐seq data using the transcriptome‐based alignment‐free programmes Sailfish and Salmon and have validated quantification of splicing ratios from RNA‐seq by high resolution reverse transcription polymerase chain reaction (HR RT‐PCR). Good correlations between splicing ratios from RNA‐seq and HR RT‐PCR were obtained demonstrating the accuracy of abundances calculated for individual transcripts in RNA‐seq. The AtRTD is a resource that will have immediate utility in analysing Arabidopsis RNA‐seq data to quantify differential transcript abundance and expression. John Wiley and Sons Inc. 2015-06-25 2015-10 /pmc/articles/PMC4744958/ /pubmed/26111100 http://dx.doi.org/10.1111/nph.13545 Text en © 2015 The Authors. New Phytologist © 2015 New Phytologist Trust This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Zhang, Runxuan Calixto, Cristiane P. G. Tzioutziou, Nikoleta A. James, Allan B. Simpson, Craig G. Guo, Wenbin Marquez, Yamile Kalyna, Maria Patro, Rob Eyras, Eduardo Barta, Andrea Nimmo, Hugh G. Brown, John W. S. AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana |
title | AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana
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title_full | AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana
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title_fullStr | AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana
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title_full_unstemmed | AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana
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title_short | AtRTD – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in Arabidopsis thaliana
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title_sort | atrtd – a comprehensive reference transcript dataset resource for accurate quantification of transcript‐specific expression in arabidopsis thaliana |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744958/ https://www.ncbi.nlm.nih.gov/pubmed/26111100 http://dx.doi.org/10.1111/nph.13545 |
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