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Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene
BACKGROUND: RNA sequencing has opened new avenues for the study of transcriptome composition. Significant evidence has accumulated showing that the human transcriptome contains in excess of a hundred thousand different transcripts. However, it is still not clear to what extent this diversity prevail...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053754/ https://www.ncbi.nlm.nih.gov/pubmed/23815980 http://dx.doi.org/10.1186/gb-2013-14-7-r70 |
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author | Gonzàlez-Porta, Mar Frankish, Adam Rung, Johan Harrow, Jennifer Brazma, Alvis |
author_facet | Gonzàlez-Porta, Mar Frankish, Adam Rung, Johan Harrow, Jennifer Brazma, Alvis |
author_sort | Gonzàlez-Porta, Mar |
collection | PubMed |
description | BACKGROUND: RNA sequencing has opened new avenues for the study of transcriptome composition. Significant evidence has accumulated showing that the human transcriptome contains in excess of a hundred thousand different transcripts. However, it is still not clear to what extent this diversity prevails when considering the relative abundances of different transcripts from the same gene. RESULTS: Here we show that, in a given condition, most protein coding genes have one major transcript expressed at significantly higher level than others, that in human tissues the major transcripts contribute almost 85 percent to the total mRNA from protein coding loci, and that often the same major transcript is expressed in many tissues. We detect a high degree of overlap between the set of major transcripts and a recently published set of alternatively spliced transcripts that are predicted to be translated utilizing proteomic data. Thus, we hypothesize that although some minor transcripts may play a functional role, the major ones are likely to be the main contributors to the proteome. However, we still detect a non-negligible fraction of protein coding genes for which the major transcript does not code a protein. CONCLUSIONS: Overall, our findings suggest that the transcriptome from protein coding loci is dominated by one transcript per gene and that not all the transcripts that contribute to transcriptome diversity are equally likely to contribute to protein diversity. This observation can help to prioritize candidate targets in proteomics research and to predict the functional impact of the detected changes in variation studies. |
format | Online Article Text |
id | pubmed-4053754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40537542014-06-12 Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene Gonzàlez-Porta, Mar Frankish, Adam Rung, Johan Harrow, Jennifer Brazma, Alvis Genome Biol Research BACKGROUND: RNA sequencing has opened new avenues for the study of transcriptome composition. Significant evidence has accumulated showing that the human transcriptome contains in excess of a hundred thousand different transcripts. However, it is still not clear to what extent this diversity prevails when considering the relative abundances of different transcripts from the same gene. RESULTS: Here we show that, in a given condition, most protein coding genes have one major transcript expressed at significantly higher level than others, that in human tissues the major transcripts contribute almost 85 percent to the total mRNA from protein coding loci, and that often the same major transcript is expressed in many tissues. We detect a high degree of overlap between the set of major transcripts and a recently published set of alternatively spliced transcripts that are predicted to be translated utilizing proteomic data. Thus, we hypothesize that although some minor transcripts may play a functional role, the major ones are likely to be the main contributors to the proteome. However, we still detect a non-negligible fraction of protein coding genes for which the major transcript does not code a protein. CONCLUSIONS: Overall, our findings suggest that the transcriptome from protein coding loci is dominated by one transcript per gene and that not all the transcripts that contribute to transcriptome diversity are equally likely to contribute to protein diversity. This observation can help to prioritize candidate targets in proteomics research and to predict the functional impact of the detected changes in variation studies. BioMed Central 2013 2013-07-01 /pmc/articles/PMC4053754/ /pubmed/23815980 http://dx.doi.org/10.1186/gb-2013-14-7-r70 Text en Copyright © 2013 Gonzàlez-Porta et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Gonzàlez-Porta, Mar Frankish, Adam Rung, Johan Harrow, Jennifer Brazma, Alvis Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene |
title | Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene |
title_full | Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene |
title_fullStr | Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene |
title_full_unstemmed | Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene |
title_short | Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene |
title_sort | transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053754/ https://www.ncbi.nlm.nih.gov/pubmed/23815980 http://dx.doi.org/10.1186/gb-2013-14-7-r70 |
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