Literature DB >> 18955434

Most mammalian mRNAs are conserved targets of microRNAs.

Robin C Friedman1, Kyle Kai-How Farh, Christopher B Burge, David P Bartel.   

Abstract

MicroRNAs (miRNAs) are small endogenous RNAs that pair to sites in mRNAs to direct post-transcriptional repression. Many sites that match the miRNA seed (nucleotides 2-7), particularly those in 3' untranslated regions (3'UTRs), are preferentially conserved. Here, we overhauled our tool for finding preferential conservation of sequence motifs and applied it to the analysis of human 3'UTRs, increasing by nearly threefold the detected number of preferentially conserved miRNA target sites. The new tool more efficiently incorporates new genomes and more completely controls for background conservation by accounting for mutational biases, dinucleotide conservation rates, and the conservation rates of individual UTRs. The improved background model enabled preferential conservation of a new site type, the "offset 6mer," to be detected. In total, >45,000 miRNA target sites within human 3'UTRs are conserved above background levels, and >60% of human protein-coding genes have been under selective pressure to maintain pairing to miRNAs. Mammalian-specific miRNAs have far fewer conserved targets than do the more broadly conserved miRNAs, even when considering only more recently emerged targets. Although pairing to the 3' end of miRNAs can compensate for seed mismatches, this class of sites constitutes less than 2% of all preferentially conserved sites detected. The new tool enables statistically powerful analysis of individual miRNA target sites, with the probability of preferentially conserved targeting (P(CT)) correlating with experimental measurements of repression. Our expanded set of target predictions (including conserved 3'-compensatory sites), are available at the TargetScan website, which displays the P(CT) for each site and each predicted target.

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Year:  2008        PMID: 18955434      PMCID: PMC2612969          DOI: 10.1101/gr.082701.108

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  37 in total

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Authors:  Liisa Kauppi; Alec J Jeffreys; Scott Keeney
Journal:  Nat Rev Genet       Date:  2004-06       Impact factor: 53.242

2.  Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.

Authors:  Benjamin P Lewis; Christopher B Burge; David P Bartel
Journal:  Cell       Date:  2005-01-14       Impact factor: 41.582

3.  Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures.

Authors:  Alexander Stark; Michael F Lin; Pouya Kheradpour; Jakob S Pedersen; Leopold Parts; Joseph W Carlson; Madeline A Crosby; Matthew D Rasmussen; Sushmita Roy; Ameya N Deoras; J Graham Ruby; Julius Brennecke; Emily Hodges; Angie S Hinrichs; Anat Caspi; Benedict Paten; Seung-Won Park; Mira V Han; Morgan L Maeder; Benjamin J Polansky; Bryanne E Robson; Stein Aerts; Jacques van Helden; Bassem Hassan; Donald G Gilbert; Deborah A Eastman; Michael Rice; Michael Weir; Matthew W Hahn; Yongkyu Park; Colin N Dewey; Lior Pachter; W James Kent; David Haussler; Eric C Lai; David P Bartel; Gregory J Hannon; Thomas C Kaufman; Michael B Eisen; Andrew G Clark; Douglas Smith; Susan E Celniker; William M Gelbart; Manolis Kellis
Journal:  Nature       Date:  2007-11-08       Impact factor: 49.962

4.  MicroRNA targeting specificity in mammals: determinants beyond seed pairing.

Authors:  Andrew Grimson; Kyle Kai-How Farh; Wendy K Johnston; Philip Garrett-Engele; Lee P Lim; David P Bartel
Journal:  Mol Cell       Date:  2007-07-06       Impact factor: 17.970

5.  Mutation rates differ among regions of the mammalian genome.

Authors:  K H Wolfe; P M Sharp; W H Li
Journal:  Nature       Date:  1989-01-19       Impact factor: 49.962

6.  Systematic discovery of regulatory motifs in human promoters and 3' UTRs by comparison of several mammals.

Authors:  Xiaohui Xie; Jun Lu; E J Kulbokas; Todd R Golub; Vamsi Mootha; Kerstin Lindblad-Toh; Eric S Lander; Manolis Kellis
Journal:  Nature       Date:  2005-02-27       Impact factor: 49.962

7.  28-way vertebrate alignment and conservation track in the UCSC Genome Browser.

Authors:  Webb Miller; Kate Rosenbloom; Ross C Hardison; Minmei Hou; James Taylor; Brian Raney; Richard Burhans; David C King; Robert Baertsch; Daniel Blankenberg; Sergei L Kosakovsky Pond; Anton Nekrutenko; Belinda Giardine; Robert S Harris; Svitlana Tyekucheva; Mark Diekhans; Thomas H Pringle; William J Murphy; Arthur Lesk; George M Weinstock; Kerstin Lindblad-Toh; Richard A Gibbs; Eric S Lander; Adam Siepel; David Haussler; W James Kent
Journal:  Genome Res       Date:  2007-11-05       Impact factor: 9.043

8.  A mammalian microRNA expression atlas based on small RNA library sequencing.

Authors:  Pablo Landgraf; Mirabela Rusu; Robert Sheridan; Alain Sewer; Nicola Iovino; Alexei Aravin; Sébastien Pfeffer; Amanda Rice; Alice O Kamphorst; Markus Landthaler; Carolina Lin; Nicholas D Socci; Leandro Hermida; Valerio Fulci; Sabina Chiaretti; Robin Foà; Julia Schliwka; Uta Fuchs; Astrid Novosel; Roman-Ulrich Müller; Bernhard Schermer; Ute Bissels; Jason Inman; Quang Phan; Minchen Chien; David B Weir; Ruchi Choksi; Gabriella De Vita; Daniela Frezzetti; Hans-Ingo Trompeter; Veit Hornung; Grace Teng; Gunther Hartmann; Miklos Palkovits; Roberto Di Lauro; Peter Wernet; Giuseppe Macino; Charles E Rogler; James W Nagle; Jingyue Ju; F Nina Papavasiliou; Thomas Benzing; Peter Lichter; Wayne Tam; Michael J Brownstein; Andreas Bosio; Arndt Borkhardt; James J Russo; Chris Sander; Mihaela Zavolan; Thomas Tuschl
Journal:  Cell       Date:  2007-06-29       Impact factor: 41.582

9.  microRNA target predictions across seven Drosophila species and comparison to mammalian targets.

Authors:  Dominic Grün; Yi-Lu Wang; David Langenberger; Kristin C Gunsalus; Nikolaus Rajewsky
Journal:  PLoS Comput Biol       Date:  2005-06-24       Impact factor: 4.475

10.  Statistical methods for detecting molecular adaptation.

Authors: 
Journal:  Trends Ecol Evol       Date:  2000-12-01       Impact factor: 17.712

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  2000 in total

1.  Concentrations of Purine Metabolites Are Elevated in Fluids from Adults and Infants and in Livers from Mice Fed Diets Depleted of Bovine Milk Exosomes and their RNA Cargos.

Authors:  Ana Aguilar-Lozano; Scott Baier; Ryan Grove; Jiang Shu; David Giraud; Amy Leiferman; Kelly E Mercer; Juan Cui; Thomas M Badger; Jiri Adamec; Aline Andres; Janos Zempleni
Journal:  J Nutr       Date:  2018-12-01       Impact factor: 4.798

Review 2.  MicroRNAs, wild-type and mutant p53: more questions than answers.

Authors:  Matthew Jones; Ashish Lal
Journal:  RNA Biol       Date:  2012-06-01       Impact factor: 4.652

Review 3.  Role of G protein-coupled receptors-microRNA interactions in gastrointestinal pathophysiology.

Authors:  Ivy Ka Man Law; David Miguel Padua; Dimitrios Iliopoulos; Charalabos Pothoulakis
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2017-08-03       Impact factor: 4.052

Review 4.  MicroRNAs in renal development.

Authors:  Jacqueline Ho; Jordan A Kreidberg
Journal:  Pediatr Nephrol       Date:  2012-06-02       Impact factor: 3.714

Review 5.  Non-Coding RNAs in Endometrial Physiopathology.

Authors:  Alessandro La Ferlita; Rosalia Battaglia; Francesca Andronico; Salvatore Caruso; Antonio Cianci; Michele Purrello; Cinzia Di Pietro
Journal:  Int J Mol Sci       Date:  2018-07-20       Impact factor: 5.923

6.  Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.

Authors:  Julia E Rager; Kathryn A Bailey; Lisa Smeester; Sloane K Miller; Joel S Parker; Jessica E Laine; Zuzana Drobná; Jenna Currier; Christelle Douillet; Andrew F Olshan; Marisela Rubio-Andrade; Miroslav Stýblo; Gonzalo García-Vargas; Rebecca C Fry
Journal:  Environ Mol Mutagen       Date:  2013-12-10       Impact factor: 3.216

Review 7.  MicroRNAs in normal and psoriatic skin.

Authors:  Jing Xia; Weixiong Zhang
Journal:  Physiol Genomics       Date:  2013-12-10       Impact factor: 3.107

8.  Synthetic miR-34a mimics as a novel therapeutic agent for multiple myeloma: in vitro and in vivo evidence.

Authors:  Maria T Di Martino; Emanuela Leone; Nicola Amodio; Umberto Foresta; Marta Lionetti; Maria R Pitari; Maria E Gallo Cantafio; Annamaria Gullà; Francesco Conforti; Eugenio Morelli; Vera Tomaino; Marco Rossi; Massimo Negrini; Manlio Ferrarini; Michele Caraglia; Masood A Shammas; Nikhil C Munshi; Kenneth C Anderson; Antonino Neri; Pierosandro Tagliaferri; Pierfrancesco Tassone
Journal:  Clin Cancer Res       Date:  2012-10-03       Impact factor: 12.531

Review 9.  Charity begins at home: non-coding RNA functions in DNA repair.

Authors:  Dipanjan Chowdhury; Young Eun Choi; Marie Eve Brault
Journal:  Nat Rev Mol Cell Biol       Date:  2013-02-06       Impact factor: 94.444

10.  Attenuation of antigenic immunogenicity by kynurenine, a novel suppressive adjuvant.

Authors:  Zhiqing Duan; Yunqing Duan; Huangui Lei; Ningzhu Hu; Jiandong Shi; Dong Shen; Xi Wang; Yunzhang Hu
Journal:  Hum Vaccin Immunother       Date:  2014-02-28       Impact factor: 3.452

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