Literature DB >> 28430005

Issues in current microRNA target identification methods.

Hervé Seitz1.   

Abstract

microRNAs are currently believed to control a large diversity of physiologic processes, through the collective repression of thousands of target genes. Both experimental and computational analyses indeed suggest that each microRNA regulates tens or hundreds of genes. But some observations suggest that the phenotypic consequences of many published miRNA/mRNA interactions are dubious. For example, the reported amplitude of miRNA-guided repression is very small, while biologic processes tend to be robust to small changes in gene expression. We recently showed, on one particular miRNA, that for most predicted targets, miRNA-guided repression is even smaller than inter-individual variability among wild-type specimens. We also put forward several sources of computational false positives. These issues are generally neglected by the scientific community, probably resulting in the frequent publication of irreproducible or misinterpreted results regarding microRNA function. We propose novel types of analyses, easily accessible to the community, that could help improve microRNA target identification.

Keywords:  False positives; inter-individual variability; microRNA; over-conservation; robustness; target identification

Mesh:

Substances:

Year:  2017        PMID: 28430005      PMCID: PMC5546714          DOI: 10.1080/15476286.2017.1320469

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  23 in total

1.  A microRNA controlling left/right neuronal asymmetry in Caenorhabditis elegans.

Authors:  Robert J Johnston; Oliver Hobert
Journal:  Nature       Date:  2003-12-14       Impact factor: 49.962

Review 2.  Mutation rate variation in multicellular eukaryotes: causes and consequences.

Authors:  Charles F Baer; Michael M Miyamoto; Dee R Denver
Journal:  Nat Rev Genet       Date:  2007-08       Impact factor: 53.242

3.  Redefining microRNA targets.

Authors:  Hervé Seitz
Journal:  Curr Biol       Date:  2009-04-16       Impact factor: 10.834

4.  Assessing the ceRNA hypothesis with quantitative measurements of miRNA and target abundance.

Authors:  Rémy Denzler; Vikram Agarwal; Joanna Stefano; David P Bartel; Markus Stoffel
Journal:  Mol Cell       Date:  2014-05-01       Impact factor: 17.970

5.  Genome-wide identification of Ago2 binding sites from mouse embryonic stem cells with and without mature microRNAs.

Authors:  Anthony K L Leung; Amanda G Young; Arjun Bhutkar; Grace X Zheng; Andrew D Bosson; Cydney B Nielsen; Phillip A Sharp
Journal:  Nat Struct Mol Biol       Date:  2011-01-23       Impact factor: 15.369

6.  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

7.  Impact of MicroRNA Levels, Target-Site Complementarity, and Cooperativity on Competing Endogenous RNA-Regulated Gene Expression.

Authors:  Rémy Denzler; Sean E McGeary; Alexandra C Title; Vikram Agarwal; David P Bartel; Markus Stoffel
Journal:  Mol Cell       Date:  2016-10-27       Impact factor: 17.970

8.  microRNA target prediction programs predict many false positives.

Authors:  Natalia Pinzón; Blaise Li; Laura Martinez; Anna Sergeeva; Jessy Presumey; Florence Apparailly; Hervé Seitz
Journal:  Genome Res       Date:  2016-11-15       Impact factor: 9.043

9.  Error-prone polymerase activity causes multinucleotide mutations in humans.

Authors:  Kelley Harris; Rasmus Nielsen
Journal:  Genome Res       Date:  2014-07-30       Impact factor: 9.043

10.  Neuron type-specific miRNA represses two broadly expressed genes to modulate an avoidance behavior in C. elegans.

Authors:  Tanja Drexel; Katharina Mahofsky; Richard Latham; Manuel Zimmer; Luisa Cochella
Journal:  Genes Dev       Date:  2016-09-29       Impact factor: 11.361

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  13 in total

1.  Differentiation in stem/progenitor cells along fetal or adult hepatic stages requires transcriptional regulators independently of oscillations in microRNA expression.

Authors:  Sriram Bandi; Sanchit Gupta; Tatyana Tchaikovskaya; Sanjeev Gupta
Journal:  Exp Cell Res       Date:  2018-06-06       Impact factor: 3.905

2.  High-density functional-RNA arrays as a versatile platform for studying RNA-based interactions.

Authors:  Jack O Phillips; Louise E Butt; Charlotte A Henderson; Martin Devonshire; Jess Healy; Stuart J Conway; Nicolas Locker; Andrew R Pickford; Helen A Vincent; Anastasia J Callaghan
Journal:  Nucleic Acids Res       Date:  2018-08-21       Impact factor: 16.971

Review 3.  Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies.

Authors:  Luiza Handschuh
Journal:  J Oncol       Date:  2019-07-30       Impact factor: 4.375

4.  Transgenic overexpression of microRNA-30d in pancreatic beta-cells progressively regulates beta-cell function and identity.

Authors:  Yiping Mao; Jacob Schoenborn; Zhihong Wang; Xinqian Chen; Katy Matson; Ramkumar Mohan; Shungang Zhang; Xiaohu Tang; Anoop Arunagiri; Peter Arvan; Xiaoqing Tang
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

5.  miRNA target identification and prediction as a function of time in gene expression data.

Authors:  Pranas Grigaitis; Vytaute Starkuviene; Ursula Rost; Andrius Serva; Pascal Pucholt; Ursula Kummer
Journal:  RNA Biol       Date:  2020-04-22       Impact factor: 4.652

Review 6.  MicroRNAs and Transplantation.

Authors:  Zahraa Khan; Manikkam Suthanthiran; Thangamani Muthukumar
Journal:  Clin Lab Med       Date:  2018-12-22       Impact factor: 1.935

7.  Hairpin sequence and structure is associated with features of isomiR biogenesis.

Authors:  Anton Zhiyanov; Stepan Nersisyan; Alexander Tonevitsky
Journal:  RNA Biol       Date:  2021-07-21       Impact factor: 4.766

8.  MicroRNA-guided regulation of heat stress response in wheat.

Authors:  Sridhar Ravichandran; Raja Ragupathy; Tara Edwards; Michael Domaratzki; Sylvie Cloutier
Journal:  BMC Genomics       Date:  2019-06-13       Impact factor: 3.969

9.  microRNA-483 Protects Pancreatic β-Cells by Targeting ALDH1A3.

Authors:  Zhihong Wang; Ramkumar Mohan; Xinqian Chen; Katy Matson; Jackson Waugh; Yiping Mao; Shungang Zhang; Wanzhen Li; Xiaohu Tang; Leslie S Satin; Xiaoqing Tang
Journal:  Endocrinology       Date:  2021-05-01       Impact factor: 4.736

Review 10.  Target RNAs Strike Back on MicroRNAs.

Authors:  Federico Fuchs Wightman; Luciana E Giono; Juan Pablo Fededa; Manuel de la Mata
Journal:  Front Genet       Date:  2018-10-02       Impact factor: 4.599

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