Literature DB >> 22836355

Differential association of microRNAs with polysomes reflects distinct strengths of interactions with their mRNA targets.

Natali Molotski1, Yoav Soen.   

Abstract

While microRNAs have been shown to copurify with polysomes, their relative fraction in the translation pool (polysome occupancy) has not yet been measured. Here, we introduce a high-throughput method for quantifying polysome occupancies of hundreds of microRNAs and use it to investigate factors affecting these occupancies. Analysis in human embryonic stem cells (hESCs) and foreskin fibroblasts (hFFs) revealed microRNA-specific preferences for low, medium, or high polysome occupancy. Bioinformatics and functional analysis based on overexpression of endogenous and chimeric microRNAs showed that the polysome occupancy of microRNAs is specified by its mature sequence and depends on the choice of seed. Nuclease treatment further suggested that the differential occupancy of the microRNAs reflects interactions with their mRNA targets. Indeed, analysis of microNRA•mRNA duplexes showed that pairs involving high occupancy microRNAs exhibit significantly higher binding energy compared to pairs with low occupancy microRNAs. Since mRNAs reside primarily in polysomes, strong interactions lead to high association of microRNAs with polysomes and vice versa for weak interactions. Comparison between hESCs and hFFs data revealed that hESCs tend to express lower occupancy microRNAs, suggesting that cell type-dependent translational features may be affected by expression of a particular set of microRNAs.

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Year:  2012        PMID: 22836355      PMCID: PMC3425777          DOI: 10.1261/rna.033142.112

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  39 in total

1.  Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae.

Authors:  Yoav Arava; Yulei Wang; John D Storey; Chih Long Liu; Patrick O Brown; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-26       Impact factor: 11.205

2.  Identification of many microRNAs that copurify with polyribosomes in mammalian neurons.

Authors:  John Kim; Anna Krichevsky; Yonatan Grad; Gabriel D Hayes; Kenneth S Kosik; George M Church; Gary Ruvkun
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-22       Impact factor: 11.205

Review 3.  Micromanagers of gene expression: the potentially widespread influence of metazoan microRNAs.

Authors:  David P Bartel; Chang-Zheng Chen
Journal:  Nat Rev Genet       Date:  2004-05       Impact factor: 53.242

Review 4.  The functions of animal microRNAs.

Authors:  Victor Ambros
Journal:  Nature       Date:  2004-09-16       Impact factor: 49.962

5.  Specificity of microRNA target selection in translational repression.

Authors:  John G Doench; Phillip A Sharp
Journal:  Genes Dev       Date:  2004-03-10       Impact factor: 11.361

6.  miRNP:mRNA association in polyribosomes in a human neuronal cell line.

Authors:  Peter T Nelson; Artemis G Hatzigeorgiou; Zissimos Mourelatos
Journal:  RNA       Date:  2004-03       Impact factor: 4.942

7.  The lin-4 regulatory RNA controls developmental timing in Caenorhabditis elegans by blocking LIN-14 protein synthesis after the initiation of translation.

Authors:  P H Olsen; V Ambros
Journal:  Dev Biol       Date:  1999-12-15       Impact factor: 3.582

8.  Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs.

Authors:  Lee P Lim; Nelson C Lau; Philip Garrett-Engele; Andrew Grimson; Janell M Schelter; John Castle; David P Bartel; Peter S Linsley; Jason M Johnson
Journal:  Nature       Date:  2005-01-30       Impact factor: 49.962

9.  Rapamycin selectively inhibits translation of mRNAs encoding elongation factors and ribosomal proteins.

Authors:  N Terada; H R Patel; K Takase; K Kohno; A C Nairn; E W Gelfand
Journal:  Proc Natl Acad Sci U S A       Date:  1994-11-22       Impact factor: 11.205

10.  Receptor for activated protein kinase C: requirement for efficient microRNA function and reduced expression in hepatocellular carcinoma.

Authors:  Motoyuki Otsuka; Akemi Takata; Takeshi Yoshikawa; Kentaro Kojima; Takahiro Kishikawa; Chikako Shibata; Mutsuhiro Takekawa; Haruhiko Yoshida; Masao Omata; Kazuhiko Koike
Journal:  PLoS One       Date:  2011-09-15       Impact factor: 3.240

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  15 in total

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Journal:  Exp Neurol       Date:  2016-10-08       Impact factor: 5.330

2.  Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion.

Authors:  Miroslava Stastna; Amandine Thomas; Juliana Germano; Somayeh Pourpirali; Jennifer E Van Eyk; Roberta A Gottlieb
Journal:  J Vis Exp       Date:  2018-08-29       Impact factor: 1.355

3.  miR-132 Regulates Dendritic Spine Structure by Direct Targeting of Matrix Metalloproteinase 9 mRNA.

Authors:  Magdalena Jasińska; Jacek Miłek; Iwona A Cymerman; Szymon Łęski; Leszek Kaczmarek; Magdalena Dziembowska
Journal:  Mol Neurobiol       Date:  2015-08-29       Impact factor: 5.590

4.  Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells.

Authors:  Marilena P Etna; Alessandro Sinigaglia; Angela Grassi; Elena Giacomini; Alessandra Romagnoli; Manuela Pardini; Martina Severa; Melania Cruciani; Fabiana Rizzo; Eleni Anastasiadou; Barbara Di Camillo; Luisa Barzon; Gian Maria Fimia; Riccardo Manganelli; Eliana M Coccia
Journal:  PLoS Pathog       Date:  2018-01-04       Impact factor: 6.823

Review 5.  Role of microRNAs in translation regulation and cancer.

Authors:  Stefania Oliveto; Marilena Mancino; Nicola Manfrini; Stefano Biffo
Journal:  World J Biol Chem       Date:  2017-02-26

6.  A Polysome-Based microRNA Screen Identifies miR-24-3p as a Novel Promigratory miRNA in Mesothelioma.

Authors:  Stefania Oliveto; Roberta Alfieri; Annarita Miluzio; Alessandra Scagliola; Raissa S Secli; Pierluigi Gasparini; Stefano Grosso; Luciano Cascione; Luciano Mutti; Stefano Biffo
Journal:  Cancer Res       Date:  2018-08-02       Impact factor: 12.701

Review 7.  Epigenetics, microRNA and Metabolic Syndrome: A Comprehensive Review.

Authors:  Farha Ramzan; Mark H Vickers; Richard F Mithen
Journal:  Int J Mol Sci       Date:  2021-05-10       Impact factor: 5.923

8.  Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms.

Authors:  Roshan Mascarenhas; Maciej Pietrzak; Ryan M Smith; Amy Webb; Danxin Wang; Audrey C Papp; Julia K Pinsonneault; Michal Seweryn; Grzegorz Rempala; Wolfgang Sadee
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

9.  Gene and MicroRNA transcriptome analysis of Parkinson's related LRRK2 mouse models.

Authors:  Véronique Dorval; Wim Mandemakers; Francis Jolivette; Laetitia Coudert; Rachid Mazroui; Bart De Strooper; Sébastien S Hébert
Journal:  PLoS One       Date:  2014-01-10       Impact factor: 3.240

10.  Polysome shift assay for direct measurement of miRNA inhibition by anti-miRNA drugs.

Authors:  John R Androsavich; Daniel J Sobczynski; Xueqing Liu; Shweta Pandya; Vivek Kaimal; Tate Owen; Kai Liu; Deidre A MacKenna; B Nelson Chau
Journal:  Nucleic Acids Res       Date:  2015-09-17       Impact factor: 16.971

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