Literature DB >> 26748710

Elucidating MicroRNA Regulatory Networks Using Transcriptional, Post-transcriptional, and Histone Modification Measurements.

Sara J C Gosline1, Allan M Gurtan2, Courtney K JnBaptiste3, Andrew Bosson3, Pamela Milani1, Simona Dalin1, Bryan J Matthews1, Yoon S Yap1, Phillip A Sharp4, Ernest Fraenkel5.   

Abstract

MicroRNAs (miRNAs) regulate diverse biological processes by repressing mRNAs, but their modest effects on direct targets, together with their participation in larger regulatory networks, make it challenging to delineate miRNA-mediated effects. Here, we describe an approach to characterizing miRNA-regulatory networks by systematically profiling transcriptional, post-transcriptional and epigenetic activity in a pair of isogenic murine fibroblast cell lines with and without Dicer expression. By RNA sequencing (RNA-seq) and CLIP (crosslinking followed by immunoprecipitation) sequencing (CLIP-seq), we found that most of the changes induced by global miRNA loss occur at the level of transcription. We then introduced a network modeling approach that integrated these data with epigenetic data to identify specific miRNA-regulated transcription factors that explain the impact of miRNA perturbation on gene expression. In total, we demonstrate that combining multiple genome-wide datasets spanning diverse regulatory modes enables accurate delineation of the downstream miRNA-regulated transcriptional network and establishes a model for studying similar networks in other systems.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26748710      PMCID: PMC4831719          DOI: 10.1016/j.celrep.2015.12.031

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  55 in total

1.  Epigenetic priors for identifying active transcription factor binding sites.

Authors:  Gabriel Cuellar-Partida; Fabian A Buske; Robert C McLeay; Tom Whitington; William Stafford Noble; Timothy L Bailey
Journal:  Bioinformatics       Date:  2011-11-08       Impact factor: 6.937

2.  Histone H3K27ac separates active from poised enhancers and predicts developmental state.

Authors:  Menno P Creyghton; Albert W Cheng; G Grant Welstead; Tristan Kooistra; Bryce W Carey; Eveline J Steine; Jacob Hanna; Michael A Lodato; Garrett M Frampton; Phillip A Sharp; Laurie A Boyer; Richard A Young; Rudolf Jaenisch
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-24       Impact factor: 11.205

3.  Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data.

Authors:  Roger Pique-Regi; Jacob F Degner; Athma A Pai; Daniel J Gaffney; Yoav Gilad; Jonathan K Pritchard
Journal:  Genome Res       Date:  2010-11-24       Impact factor: 9.043

4.  MicroRNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of miRNA action.

Authors:  Jiayu Wen; Brian J Parker; Anders Jacobsen; Anders Krogh
Journal:  RNA       Date:  2011-03-09       Impact factor: 4.942

5.  The NIH Roadmap Epigenomics Mapping Consortium.

Authors:  Bradley E Bernstein; John A Stamatoyannopoulos; Joseph F Costello; Bing Ren; Aleksandar Milosavljevic; Alexander Meissner; Manolis Kellis; Marco A Marra; Arthur L Beaudet; Joseph R Ecker; Peggy J Farnham; Martin Hirst; Eric S Lander; Tarjei S Mikkelsen; James A Thomson
Journal:  Nat Biotechnol       Date:  2010-10       Impact factor: 54.908

6.  Transfection of small RNAs globally perturbs gene regulation by endogenous microRNAs.

Authors:  Aly A Khan; Doron Betel; Martin L Miller; Chris Sander; Christina S Leslie; Debora S Marks
Journal:  Nat Biotechnol       Date:  2009-06       Impact factor: 54.908

7.  Mapping in vivo protein-RNA interactions at single-nucleotide resolution from HITS-CLIP data.

Authors:  Chaolin Zhang; Robert B Darnell
Journal:  Nat Biotechnol       Date:  2011-06-01       Impact factor: 54.908

Review 8.  Protein-RNA interactions: new genomic technologies and perspectives.

Authors:  Julian König; Kathi Zarnack; Nicholas M Luscombe; Jernej Ule
Journal:  Nat Rev Genet       Date:  2012-01-18       Impact factor: 53.242

9.  Weak seed-pairing stability and high target-site abundance decrease the proficiency of lsy-6 and other microRNAs.

Authors:  David M Garcia; Daehyun Baek; Chanseok Shin; George W Bell; Andrew Grimson; David P Bartel
Journal:  Nat Struct Mol Biol       Date:  2011-09-11       Impact factor: 15.369

10.  MIRTFnet: analysis of miRNA regulated transcription factors.

Authors:  Haroon Naeem; Robert Küffner; Ralf Zimmer
Journal:  PLoS One       Date:  2011-08-17       Impact factor: 3.240

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  43 in total

Review 1.  A network-biology perspective of microRNA function and dysfunction in cancer.

Authors:  Cameron P Bracken; Hamish S Scott; Gregory J Goodall
Journal:  Nat Rev Genet       Date:  2016-10-31       Impact factor: 53.242

Review 2.  Role of miRNAs in human disease and inborn errors of metabolism.

Authors:  Ana Rivera-Barahona; Belén Pérez; Eva Richard; Lourdes R Desviat
Journal:  J Inherit Metab Dis       Date:  2017-02-22       Impact factor: 4.982

3.  Identify gene expression pattern change at transcriptional and post-transcriptional levels.

Authors:  Ji-Gang Zhang; Chao Xu; Lan Zhang; Wei Zhu; Hui Shen; Hong-Wen Deng
Journal:  Transcription       Date:  2019-02-05

4.  Transcriptome profiling of the developing male germ line identifies the miR-29 family as a global regulator during meiosis.

Authors:  Stephanie Hilz; Elizabeth A Fogarty; Andrew J Modzelewski; Paula E Cohen; Andrew Grimson
Journal:  RNA Biol       Date:  2016-12-16       Impact factor: 4.652

Review 5.  Placenta growth factor mediated gene regulation in sickle cell disease.

Authors:  Vijay K Kalra; Shuxiao Zhang; Punam Malik; Stanley M Tahara
Journal:  Blood Rev       Date:  2017-08-16       Impact factor: 8.250

Review 6.  Exploiting Circulating MicroRNAs as Biomarkers in Psychiatric Disorders.

Authors:  Bhaskar Roy; Yuta Yoshino; Lauren Allen; Kevin Prall; Grant Schell; Yogesh Dwivedi
Journal:  Mol Diagn Ther       Date:  2020-06       Impact factor: 4.074

Review 7.  Processing body (P-body) and its mediators in cancer.

Authors:  Bernard Nsengimana; Faiz Ali Khan; Ebenezeri Erasto Ngowi; Xuefeng Zhou; Yu Jin; Yuting Jia; Wenqiang Wei; Shaoping Ji
Journal:  Mol Cell Biochem       Date:  2022-01-28       Impact factor: 3.396

8.  Identification of key differentially expressed MicroRNAs in cancer patients through pan-cancer analysis.

Authors:  Yu Hu; Hayley Dingerdissen; Samir Gupta; Robel Kahsay; Vijay Shanker; Quan Wan; Cheng Yan; Raja Mazumder
Journal:  Comput Biol Med       Date:  2018-10-22       Impact factor: 4.589

9.  Dysregulation of non-histone molecule miR205 and LRG1 post-transcriptional de-regulation by SETD1A in triple negative breast cancer.

Authors:  Ezanee Azlina Mohamad Hanif
Journal:  Mol Biol Rep       Date:  2019-09-24       Impact factor: 2.316

Review 10.  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

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