Literature DB >> 25732134

Most highly expressed protein-coding genes have a single dominant isoform.

Iakes Ezkurdia1,2, Jose Manuel Rodriguez1,2, Enrique Carrillo-de Santa Pau1,2, Jesús Vázquez1,2, Alfonso Valencia1,2, Michael L Tress1,2.   

Abstract

Although eukaryotic cells express a wide range of alternatively spliced transcripts, it is not clear whether genes tend to express a range of transcripts simultaneously across cells, or produce dominant isoforms in a manner that is either tissue-specific or regardless of tissue. To date, large-scale investigations into the pattern of transcript expression across distinct tissues have produced contradictory results. Here, we attempt to determine whether genes express a dominant splice variant at the protein level. We interrogate peptides from eight large-scale human proteomics experiments and databases and find that there is a single dominant protein isoform, irrespective of tissue or cell type, for the vast majority of the protein-coding genes in these experiments, in partial agreement with the conclusions from the most recent large-scale RNAseq study. Remarkably, the dominant isoforms from the experimental proteomics analyses coincided overwhelmingly with the reference isoforms selected by two completely orthogonal sources, the consensus coding sequence variants, which are agreed upon by separate manual genome curation teams, and the principal isoforms from the APPRIS database, predicted automatically from the conservation of protein sequence, structure, and function.

Entities:  

Keywords:  Alternative splicing; Dominant isoforms; Large-scale proteomics; Protein function; Protein structure; RNAseq

Mesh:

Substances:

Year:  2015        PMID: 25732134      PMCID: PMC4768900          DOI: 10.1021/pr501286b

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  37 in total

1.  Andromeda: a peptide search engine integrated into the MaxQuant environment.

Authors:  Jürgen Cox; Nadin Neuhauser; Annette Michalski; Richard A Scheltema; Jesper V Olsen; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-22       Impact factor: 4.466

Review 2.  Insights into the regulation of protein abundance from proteomic and transcriptomic analyses.

Authors:  Christine Vogel; Edward M Marcotte
Journal:  Nat Rev Genet       Date:  2012-03-13       Impact factor: 53.242

3.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

4.  Comparative proteomics reveals a significant bias toward alternative protein isoforms with conserved structure and function.

Authors:  Iakes Ezkurdia; Angela del Pozo; Adam Frankish; Jose Manuel Rodriguez; Jennifer Harrow; Keith Ashman; Alfonso Valencia; Michael L Tress
Journal:  Mol Biol Evol       Date:  2012-03-22       Impact factor: 16.240

5.  GENCODE: the reference human genome annotation for The ENCODE Project.

Authors:  Jennifer Harrow; Adam Frankish; Jose M Gonzalez; Electra Tapanari; Mark Diekhans; Felix Kokocinski; Bronwen L Aken; Daniel Barrell; Amonida Zadissa; Stephen Searle; If Barnes; Alexandra Bignell; Veronika Boychenko; Toby Hunt; Mike Kay; Gaurab Mukherjee; Jeena Rajan; Gloria Despacio-Reyes; Gary Saunders; Charles Steward; Rachel Harte; Michael Lin; Cédric Howald; Andrea Tanzer; Thomas Derrien; Jacqueline Chrast; Nathalie Walters; Suganthi Balasubramanian; Baikang Pei; Michael Tress; Jose Manuel Rodriguez; Iakes Ezkurdia; Jeltje van Baren; Michael Brent; David Haussler; Manolis Kellis; Alfonso Valencia; Alexandre Reymond; Mark Gerstein; Roderic Guigó; Tim J Hubbard
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

6.  Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins.

Authors:  Tamar Geiger; Anja Wehner; Christoph Schaab; Juergen Cox; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2012-01-25       Impact factor: 5.911

7.  Deep proteome and transcriptome mapping of a human cancer cell line.

Authors:  Nagarjuna Nagaraj; Jacek R Wisniewski; Tamar Geiger; Juergen Cox; Martin Kircher; Janet Kelso; Svante Pääbo; Matthias Mann
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

8.  The Pfam protein families database.

Authors:  Marco Punta; Penny C Coggill; Ruth Y Eberhardt; Jaina Mistry; John Tate; Chris Boursnell; Ningze Pang; Kristoffer Forslund; Goran Ceric; Jody Clements; Andreas Heger; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2011-11-29       Impact factor: 16.971

9.  The quantitative proteomes of human-induced pluripotent stem cells and embryonic stem cells.

Authors:  Javier Munoz; Teck Y Low; Yee J Kok; Angela Chin; Christian K Frese; Vanessa Ding; Andre Choo; Albert J R Heck
Journal:  Mol Syst Biol       Date:  2011-11-22       Impact factor: 11.429

10.  Tracking and coordinating an international curation effort for the CCDS Project.

Authors:  Rachel A Harte; Catherine M Farrell; Jane E Loveland; Marie-Marthe Suner; Laurens Wilming; Bronwen Aken; Daniel Barrell; Adam Frankish; Craig Wallin; Steve Searle; Mark Diekhans; Jennifer Harrow; Kim D Pruitt
Journal:  Database (Oxford)       Date:  2012-03-20       Impact factor: 3.451

View more
  52 in total

1.  Increased longevity due to sexual activity in mole-rats is associated with transcriptional changes in the HPA stress axis.

Authors:  Steve Hoffmann; Karol Szafranski; Philip Dammann; Arne Sahm; Matthias Platzer; Philipp Koch; Yoshiyuki Henning; Martin Bens; Marco Groth; Hynek Burda; Sabine Begall; Saskia Ting; Moritz Goetz; Paul Van Daele; Magdalena Staniszewska; Jasmin Mona Klose; Pedro Fragoso Costa
Journal:  Elife       Date:  2021-03-16       Impact factor: 8.140

2.  Identification of Dominant Transcripts in Oxidative Stress Response by a Full-Length Transcriptome Analysis.

Authors:  Akihito Otsuki; Yasunobu Okamura; Yuichi Aoki; Noriko Ishida; Kazuki Kumada; Naoko Minegishi; Fumiki Katsuoka; Kengo Kinoshita; Masayuki Yamamoto
Journal:  Mol Cell Biol       Date:  2021-01-25       Impact factor: 4.272

3.  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

4.  Most Alternative Isoforms Are Not Functionally Important.

Authors:  Michael L Tress; Federico Abascal; Alfonso Valencia
Journal:  Trends Biochem Sci       Date:  2017-05-05       Impact factor: 13.807

5.  A Quantitative Proteome Map of the Human Body.

Authors:  Lihua Jiang; Meng Wang; Shin Lin; Ruiqi Jian; Xiao Li; Joanne Chan; Guanlan Dong; Huaying Fang; Aaron E Robinson; Michael P Snyder
Journal:  Cell       Date:  2020-09-10       Impact factor: 41.582

6.  Functional Networks of Highest-Connected Splice Isoforms: From The Chromosome 17 Human Proteome Project.

Authors:  Hong-Dong Li; Rajasree Menon; Brandon Govindarajoo; Bharat Panwar; Yang Zhang; Gilbert S Omenn; Yuanfang Guan
Journal:  J Proteome Res       Date:  2015-08-11       Impact factor: 4.466

Review 7.  Alternative Splicing May Not Be the Key to Proteome Complexity.

Authors:  Michael L Tress; Federico Abascal; Alfonso Valencia
Journal:  Trends Biochem Sci       Date:  2016-10-03       Impact factor: 13.807

8.  The ribosome-engaged landscape of alternative splicing.

Authors:  Robert J Weatheritt; Timothy Sterne-Weiler; Benjamin J Blencowe
Journal:  Nat Struct Mol Biol       Date:  2016-11-07       Impact factor: 15.369

9.  Creating reference gene annotation for the mouse C57BL6/J genome assembly.

Authors:  Jonathan M Mudge; Jennifer Harrow
Journal:  Mamm Genome       Date:  2015-07-18       Impact factor: 2.957

10.  Assessing the functional relevance of splice isoforms.

Authors:  Fernando Pozo; Laura Martinez-Gomez; Thomas A Walsh; José Manuel Rodriguez; Tomas Di Domenico; Federico Abascal; Jesús Vazquez; Michael L Tress
Journal:  NAR Genom Bioinform       Date:  2021-05-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.