Literature DB >> 25467744

The utility of protein and mRNA correlation.

Samuel H Payne1.   

Abstract

Transcriptomic, proteomic, and metabolomic measurements are revolutionizing the way we model and predict cellular behavior, and multi-omic comparisons are being published with increased regularity. Some have expected a trivial and predictable correlation between mRNA and protein; however, the manifest complexity of biological regulation suggests a more nuanced relationship. Indeed, observing this lack of strict correlation provides clues for new research topics, and has the potential for transformative biological insight.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  bioinformatics; proteomics; systems biology; transcriptomics

Mesh:

Year:  2014        PMID: 25467744      PMCID: PMC4776753          DOI: 10.1016/j.tibs.2014.10.010

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  15 in total

1.  Global quantification of mammalian gene expression control.

Authors:  Björn Schwanhäusser; Dorothea Busse; Na Li; Gunnar Dittmar; Johannes Schuchhardt; Jana Wolf; Wei Chen; Matthias Selbach
Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

2.  High-resolution view of the yeast meiotic program revealed by ribosome profiling.

Authors:  Gloria A Brar; Moran Yassour; Nir Friedman; Aviv Regev; Nicholas T Ingolia; Jonathan S Weissman
Journal:  Science       Date:  2011-12-22       Impact factor: 47.728

Review 3.  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

4.  Correlation between protein and mRNA abundance in yeast.

Authors:  S P Gygi; Y Rochon; B R Franza; R Aebersold
Journal:  Mol Cell Biol       Date:  1999-03       Impact factor: 4.272

5.  Global survey of organ and organelle protein expression in mouse: combined proteomic and transcriptomic profiling.

Authors:  Thomas Kislinger; Brian Cox; Anitha Kannan; Clement Chung; Pingzhao Hu; Alexandr Ignatchenko; Michelle S Scott; Anthony O Gramolini; Quaid Morris; Michael T Hallett; Janet Rossant; Timothy R Hughes; Brendan Frey; Andrew Emili
Journal:  Cell       Date:  2006-04-07       Impact factor: 41.582

6.  The impact of microRNAs on protein output.

Authors:  Daehyun Baek; Judit Villén; Chanseok Shin; Fernando D Camargo; Steven P Gygi; David P Bartel
Journal:  Nature       Date:  2008-07-30       Impact factor: 49.962

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.  Global analysis of transcript and protein levels across the Plasmodium falciparum life cycle.

Authors:  Karine G Le Roch; Jeffrey R Johnson; Laurence Florens; Yingyao Zhou; Andrey Santrosyan; Munira Grainger; S Frank Yan; Kim C Williamson; Anthony A Holder; Daniel J Carucci; John R Yates; Elizabeth A Winzeler
Journal:  Genome Res       Date:  2004-11       Impact factor: 9.043

9.  Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.

Authors:  Samuel Marguerat; Alexander Schmidt; Sandra Codlin; Wei Chen; Ruedi Aebersold; Jürg Bähler
Journal:  Cell       Date:  2012-10-26       Impact factor: 41.582

10.  Transcriptome and proteome dynamics of a light-dark synchronized bacterial cell cycle.

Authors:  Jacob R Waldbauer; Sébastien Rodrigue; Maureen L Coleman; Sallie W Chisholm
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

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  54 in total

1.  Receptor/gene/protein-mediated signaling connects methylprednisolone exposure to metabolic and immune-related pharmacodynamic actions in liver.

Authors:  Vivaswath S Ayyar; Siddharth Sukumaran; Debra C DuBois; Richard R Almon; Jun Qu; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-04-27       Impact factor: 2.745

2.  Functional proteomic analysis of corticosteroid pharmacodynamics in rat liver: Relationship to hepatic stress, signaling, energy regulation, and drug metabolism.

Authors:  Vivaswath S Ayyar; Richard R Almon; Debra C DuBois; Siddharth Sukumaran; Jun Qu; William J Jusko
Journal:  J Proteomics       Date:  2017-03-14       Impact factor: 4.044

Review 3.  The Need for Integrated Approaches in Metabolic Engineering.

Authors:  Anna Lechner; Elizabeth Brunk; Jay D Keasling
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-11-01       Impact factor: 10.005

4.  An Integrated Polysome Profiling and Ribosome Profiling Method to Investigate In Vivo Translatome.

Authors:  Hyun Yong Jin; Changchun Xiao
Journal:  Methods Mol Biol       Date:  2018

5.  Access to a high resource environment protects against accelerated maturation following early life stress: A translational animal model of high, medium and low security settings.

Authors:  Arielle R Strzelewicz; Evelyn Ordoñes Sanchez; Alejandro N Rondón-Ortiz; Anthony Raneri; Sydney T Famularo; Debra A Bangasser; Amanda C Kentner
Journal:  Horm Behav       Date:  2019-03-02       Impact factor: 3.587

Review 6.  Next-generation analysis of gene expression regulation--comparing the roles of synthesis and degradation.

Authors:  Joel McManus; Zhe Cheng; Christine Vogel
Journal:  Mol Biosyst       Date:  2015-10

7.  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

8.  Modeling Corticosteroid Pharmacogenomics and Proteomics in Rat Liver.

Authors:  Vivaswath S Ayyar; Siddharth Sukumaran; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2018-08-07       Impact factor: 4.030

9.  The metabolic background is a global player in Saccharomyces gene expression epistasis.

Authors:  Mohammad Tauqeer Alam; Aleksej Zelezniak; Michael Mülleder; Pavel Shliaha; Roland Schwarz; Floriana Capuano; Jakob Vowinckel; Elahe Radmanesfahar; Antje Krüger; Enrica Calvani; Steve Michel; Stefan Börno; Stefan Christen; Kiran Raosaheb Patil; Bernd Timmermann; Kathryn S Lilley; Markus Ralser
Journal:  Nat Microbiol       Date:  2016-02-01       Impact factor: 17.745

10.  Heat shock factor 1 (HSF1-pSer326) predicts response to bortezomib-containing chemotherapy in pediatric AML: a COG report.

Authors:  Fieke W Hoff; Anneke D van Dijk; Yihua Qiu; Peter P Ruvolo; Robert B Gerbing; Amanda R Leonti; Gaye N Jenkins; Alan S Gamis; Richard Aplenc; E Anders Kolb; Todd A Alonzo; Soheil Meshinchi; Eveline S J M de Bont; Sophia W M Bruggeman; Steven M Kornblau; Terzah M Horton
Journal:  Blood       Date:  2021-02-25       Impact factor: 22.113

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