Literature DB >> 23815980

Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene.

Mar Gonzàlez-Porta, Adam Frankish, Johan Rung, Jennifer Harrow, Alvis Brazma.   

Abstract

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.

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Year:  2013        PMID: 23815980      PMCID: PMC4053754          DOI: 10.1186/gb-2013-14-7-r70

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


  58 in total

1.  An intron with a constitutive transport element is retained in a Tap messenger RNA.

Authors:  Ying Li; Yeou-Cherng Bor; Yukiko Misawa; Yuming Xue; David Rekosh; Marie-Louise Hammarskjöld
Journal:  Nature       Date:  2006-09-14       Impact factor: 49.962

Review 2.  Function of alternative splicing.

Authors:  Stefan Stamm; Shani Ben-Ari; Ilona Rafalska; Yesheng Tang; Zhaiyi Zhang; Debra Toiber; T A Thanaraj; Hermona Soreq
Journal:  Gene       Date:  2004-12-10       Impact factor: 3.688

Review 3.  Quality control of messenger ribonucleoprotein particles in the nucleus and at the pore.

Authors:  Peter Sommer; Ulf Nehrbass
Journal:  Curr Opin Cell Biol       Date:  2005-06       Impact factor: 8.382

4.  The implications of alternative splicing in the ENCODE protein complement.

Authors:  Michael L Tress; Pier Luigi Martelli; Adam Frankish; Gabrielle A Reeves; Jan Jaap Wesselink; Corin Yeats; Páll Isólfur Olason; Mario Albrecht; Hedi Hegyi; Alejandro Giorgetti; Domenico Raimondo; Julien Lagarde; Roman A Laskowski; Gonzalo López; Michael I Sadowski; James D Watson; Piero Fariselli; Ivan Rossi; Alinda Nagy; Wang Kai; Zenia Størling; Massimiliano Orsini; Yassen Assenov; Hagen Blankenburg; Carola Huthmacher; Fidel Ramírez; Andreas Schlicker; France Denoeud; Phil Jones; Samuel Kerrien; Sandra Orchard; Stylianos E Antonarakis; Alexandre Reymond; Ewan Birney; Søren Brunak; Rita Casadio; Roderic Guigo; Jennifer Harrow; Henning Hermjakob; David T Jones; Thomas Lengauer; Christine A Orengo; László Patthy; Janet M Thornton; Anna Tramontano; Alfonso Valencia
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-19       Impact factor: 11.205

5.  Genetic basis of proteome variation in yeast.

Authors:  Eric J Foss; Dragan Radulovic; Scott A Shaffer; Douglas M Ruderfer; Antonio Bedalov; David R Goodlett; Leonid Kruglyak
Journal:  Nat Genet       Date:  2007-10-21       Impact factor: 38.330

6.  Developmental regulation of a proinsulin messenger RNA generated by intron retention.

Authors:  Alicia Mansilla; Carmen López-Sánchez; Enrique J de la Rosa; Virginio García-Martínez; Encarna Martínez-Salas; Flora de Pablo; Catalina Hernández-Sánchez
Journal:  EMBO Rep       Date:  2005-12       Impact factor: 8.807

7.  Negative control contributes to an extensive program of meiotic splicing in fission yeast.

Authors:  Nicole Averbeck; Sham Sunder; Nicole Sample; Jo Ann Wise; Janet Leatherwood
Journal:  Mol Cell       Date:  2005-05-13       Impact factor: 17.970

8.  Computational detection and location of transcription start sites in mammalian genomic DNA.

Authors:  Thomas A Down; Tim J P Hubbard
Journal:  Genome Res       Date:  2002-03       Impact factor: 9.043

9.  Reorganizing the protein space at the Universal Protein Resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2011-11-18       Impact factor: 16.971

10.  An unappreciated role for RNA surveillance.

Authors:  R Tyler Hillman; Richard E Green; Steven E Brenner
Journal:  Genome Biol       Date:  2004-02-02       Impact factor: 13.583

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  116 in total

1.  Revisiting the identification of canonical splice isoforms through integration of functional genomics and proteomics evidence.

Authors:  Hong-Dong Li; Rajasree Menon; Gilbert S Omenn; Yuanfang Guan
Journal:  Proteomics       Date:  2014-11-17       Impact factor: 3.984

2.  Genome-Wide Analysis of Actively Translated Open Reading Frames Using RiboTaper/ORFquant.

Authors:  Dermot Harnett; Eelco Meerdink; Lorenzo Calviello; Dominique Sydow; Uwe Ohler
Journal:  Methods Mol Biol       Date:  2021

3.  Exploring the functional impact of alternative splicing on human protein isoforms using available annotation sources.

Authors:  Dinanath Sulakhe; Mark D'Souza; Sheng Wang; Sandhya Balasubramanian; Prashanth Athri; Bingqing Xie; Stefan Canzar; Gady Agam; T Conrad Gilliam; Natalia Maltsev
Journal:  Brief Bioinform       Date:  2019-09-27       Impact factor: 11.622

Review 4.  Aberrant RNA splicing in cancer; expression changes and driver mutations of splicing factor genes.

Authors:  A Sveen; S Kilpinen; A Ruusulehto; R A Lothe; R I Skotheim
Journal:  Oncogene       Date:  2015-08-24       Impact factor: 9.867

5.  Precompetitive activity to address the biological data needs of drug discovery.

Authors:  Ben Sidders; Christoph Brockel; Alex Gutteridge; Lee Harland; Peter Gildsig Jansen; Robert McEwen; David Michalovich; Henrik Seidel; Bertram Weiss; Bryn Williams-Jones; Mathew Woodwark
Journal:  Nat Rev Drug Discov       Date:  2014-02       Impact factor: 84.694

Review 6.  Single molecule fluorescence approaches shed light on intracellular RNAs.

Authors:  Sethuramasundaram Pitchiaya; Laurie A Heinicke; Thomas C Custer; Nils G Walter
Journal:  Chem Rev       Date:  2014-01-08       Impact factor: 60.622

7.  Alternative start and termination sites of transcription drive most transcript isoform differences across human tissues.

Authors:  Alejandro Reyes; Wolfgang Huber
Journal:  Nucleic Acids Res       Date:  2018-01-25       Impact factor: 16.971

8.  Single sample sequencing (S3EQ) of epigenome and transcriptome in nucleus accumbens.

Authors:  S J Xu; E A Heller
Journal:  J Neurosci Methods       Date:  2018-07-18       Impact factor: 2.390

9.  Comparative analysis of sphingomyelin synthase 1 gene expression at the transcriptional and translational levels in human tissues.

Authors:  Olga Yu Sudarkina; Ivan B Filippenkov; Ilya B Brodsky; Svetlana A Limborska; Lyudmila V Dergunova
Journal:  Mol Cell Biochem       Date:  2015-04-26       Impact factor: 3.396

Review 10.  Non-coding transcript variants of protein-coding genes - what are they good for?

Authors:  Sonam Dhamija; Manoj B Menon
Journal:  RNA Biol       Date:  2018-09-10       Impact factor: 4.652

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