Evidence map›Paper›PMID 27927717›Full record

ArticleGenome research2017

Evolutionary patterns of metazoan microRNAs reveal targeting principles in the let-7 and miR-10 families.

Justin M Wolter, Hoai Huang Thi Le, Alexander Linse, Victoria A Godlove, Thuy-Duyen Nguyen, Kasuen Kotagama, Alissa Lynch, Alan Rawls, Marco Mangone

Abstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. miRNA-Based Regulation of Alternative RNA Splicing in Metazoans.International journal of molecular sciences · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Mechanistic Insights into MicroRNA-Mediated Gene Silencing.Cold Spring Harbor perspectives in biology · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Justin M WolterMolecular and Cellular Biology Graduate Program, Arizona State University, Tempe, Arizona 85287, USA.ORCID 0000-0002-3021-3993
Hoai Huang Thi LeSchool of Life Sciences, Arizona State University, Tempe, Arizona 85287, USA.
Alexander LinseSchool of Life Sciences, Arizona State University, Tempe, Arizona 85287, USA.
Victoria A GodloveVirginia G. Piper Center For Personalized Diagnostics, The Biodesign Institute at Arizona State University, Tempe, Arizona 85287, USA.
Thuy-Duyen NguyenSchool of Life Sciences, Arizona State University, Tempe, Arizona 85287, USA.
Kasuen KotagamaMolecular and Cellular Biology Graduate Program, Arizona State University, Tempe, Arizona 85287, USA.
Alissa LynchMolecular and Cellular Biology Graduate Program, Arizona State University, Tempe, Arizona 85287, USA.
Alan RawlsSchool of Life Sciences, Arizona State University, Tempe, Arizona 85287, USA.
Marco MangoneVirginia G. Piper Center For Personalized Diagnostics, The Biodesign Institute at Arizona State University, Tempe, Arizona 85287, USA.ORCID 0000-0001-7551-8793

Funding

Genetics and Genomics of Alternative Polyadenylation and miRNA Regulation in C. e - Renewal - 1R01GM118796 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MANGONE, MARCO · 2016 to 2024
$2.8M
Detection and validation of miRNA targets in breast cancerR21CA179144 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MANGONE, MARCO · 2014 to 2015
$354k
NCI NIH HHS R21 CA179144NIGMS NIH HHS R01 GM118796
6 · The paper itself

Abstract

MicroRNAs (miRNAs) regulate gene output by targeting degenerate elements in mRNAs and have undergone drastic expansions in higher metazoan genomes. The evolutionary advantage of maintaining copies of highly similar miRNAs is not well understood, nor is it clear what unique functions, if any, miRNA family members possess. Here, we study evolutionary patterns of metazoan miRNAs, focusing on the targeting preferences of the let-7 and miR-10 families. These studies reveal hotspots for sequence evolution with implications for targeting and secondary structure. High-throughput screening for functional targets reveals that each miRNA represses sites with distinct features and regulates a large number of genes with cooperative function in regulatory networks. Unexpectedly, given the high degree of similarity, single-nucleotide changes grant miRNA family members with distinct targeting preferences. Together, our data suggest complex functional relationships among miRNA duplications, novel expression patterns, sequence change, and the acquisition of new targets.

Indexed as

Evolution, MolecularPhylogenyAnimalsConserved SequenceDrosophilaGene Expression RegulationHumansMiceMicroRNAsMultigene FamilyNematodaNucleic Acid ConformationRNA, MessengerMicroRNAsMIRN10 microRNA, mousemirnlet7 microRNA, humanRNA, Messenger

Identifiers

PMID27927717
PMCPMC5204344

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.