Literature DB >> 20836020

Systematic analysis of posttranscriptional gene expression.

Adam R Morris1, Neelanjan Mukherjee1, Jack D Keene1.   

Abstract

Recent systems studies of gene expression have begun to dissect the layers of regulation that underlie the eukaryotic transcriptome, the combined consequence of transcriptional and posttranscriptional events. Among the regulatory layers of the transcriptome are those of the ribonome, a highly dynamic environment of ribonucleoproteins in which RNA-binding proteins (RBPs), noncoding regulatory RNAs (ncRNAs) and messenger RNAs (mRNAs) interact. While multiple mRNAs are coordinated together in groups within the ribonome of a eukaryotic cell, each individual type of mRNA consists of multiple copies, each of which has an opportunity to be a member of more than one modular group termed a posttranscriptional RNA operon or regulon (PTRO). The mRNAs associated with each PTRO encode functionally related proteins and are coordinated at the levels of RNA stability and translation by the actions of the specific RBPs and noncoding regulatory RNAs. This article examines the methods that led to the elucidation of PTROs and the coordinating mechanisms that appear to regulate the RNA components of PTROs. Moreover, the article considers the characteristics of the dynamic systems that drive PTROs and how mRNA components are bound collectively in physical 'states' to respond to cellular perturbations and diseases. In conclusion, these studies have challenged the extent to which cellular mRNA abundance can inform investigators of the functional status of a biological system. We argue that understanding the ribonome has greater potential for illuminating the underlying coordination principles of growth, differentiation, and disease.

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Year:  2010        PMID: 20836020     DOI: 10.1002/wsbm.54

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  62 in total

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Journal:  RNA       Date:  2011-11-18       Impact factor: 4.942

2.  High-throughput analyses of hnRNP H1 dissects its multi-functional aspect.

Authors:  Philip J Uren; Emad Bahrami-Samani; Patricia Rosa de Araujo; Christine Vogel; Mei Qiao; Suzanne C Burns; Andrew D Smith; Luiz O F Penalva
Journal:  RNA Biol       Date:  2016-01-13       Impact factor: 4.652

3.  Posttranscriptional suppression of proto-oncogene c-fms expression by vigilin in breast cancer.

Authors:  Ho-Hyung Woo; Xiaofang Yi; Tiffany Lamb; Ina Menzl; Terri Baker; David J Shapiro; Setsuko K Chambers
Journal:  Mol Cell Biol       Date:  2010-10-25       Impact factor: 4.272

4.  HuD regulates coding and noncoding RNA to induce APP→Aβ processing.

Authors:  Min-Ju Kang; Kotb Abdelmohsen; Emmette R Hutchison; Sarah J Mitchell; Ioannis Grammatikakis; Rong Guo; Ji Heon Noh; Jennifer L Martindale; Xiaoling Yang; Eun Kyung Lee; Mohammad A Faghihi; Claes Wahlestedt; Juan C Troncoso; Olga Pletnikova; Nora Perrone-Bizzozero; Susan M Resnick; Rafael de Cabo; Mark P Mattson; Myriam Gorospe
Journal:  Cell Rep       Date:  2014-05-22       Impact factor: 9.423

5.  Translational offsetting as a mode of estrogen receptor α-dependent regulation of gene expression.

Authors:  Julie Lorent; Eric P Kusnadi; Vincent van Hoef; Richard J Rebello; Matthew Leibovitch; Johannes Ristau; Shan Chen; Mitchell G Lawrence; Krzysztof J Szkop; Baila Samreen; Preetika Balanathan; Francesca Rapino; Pierre Close; Patricia Bukczynska; Karin Scharmann; Itsuhiro Takizawa; Gail P Risbridger; Luke A Selth; Sebastian A Leidel; Qishan Lin; Ivan Topisirovic; Ola Larsson; Luc Furic
Journal:  EMBO J       Date:  2019-09-26       Impact factor: 11.598

6.  Multifunctional roles for the protein translocation machinery in RNA anchoring to the endoplasmic reticulum.

Authors:  Sujatha Jagannathan; Jack C-C Hsu; David W Reid; Qiang Chen; Will J Thompson; Arthur M Moseley; Christopher V Nicchitta
Journal:  J Biol Chem       Date:  2014-07-25       Impact factor: 5.157

7.  Toward a systematic understanding of mRNA 3' untranslated regions.

Authors:  Wenxue Zhao; Denitza Blagev; Joshua L Pollack; David J Erle
Journal:  Proc Am Thorac Soc       Date:  2011-05

8.  MS2-TRAP (MS2-tagged RNA affinity purification): tagging RNA to identify associated miRNAs.

Authors:  Je-Hyun Yoon; Subramanya Srikantan; Myriam Gorospe
Journal:  Methods       Date:  2012-07-17       Impact factor: 3.608

9.  RNA-binding protein Sam68 controls synapse number and local β-actin mRNA metabolism in dendrites.

Authors:  Matthew E Klein; Thomas J Younts; Pablo E Castillo; Bryen A Jordan
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-04       Impact factor: 11.205

10.  Coordinated posttranscriptional mRNA population dynamics during T-cell activation.

Authors:  Neelanjan Mukherjee; Patrick J Lager; Matthew B Friedersdorf; Marshall A Thompson; Jack D Keene
Journal:  Mol Syst Biol       Date:  2009-07-28       Impact factor: 11.429

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