Evidence map›Paper›PMID 27189568›Full record

ArticleMolecular biology and evolution2016

microRNAs in the Same Clusters Evolve to Coordinately Regulate Functionally Related Genes.

Yirong Wang, Junjie Luo, Hong Zhang, Jian Lu

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

108 citing papers in PubMed, 189 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Identification of miR171a-International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. The biogenesis and regulation of animal microRNAs.Nature reviews. Molecular cell biology · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Functional Identification of miR2119 TargetingJournal of agricultural and food chemistry · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yirong WangState Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Junjie LuoState Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Hong ZhangState Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Jian LuState Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China luj@pku.edu.cn.
Center for Life Sciences · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are endogenously expressed small noncoding RNAs. The genomic locations of animal miRNAs are significantly clustered in discrete loci. We found duplication and de novo formation were important mechanisms to create miRNA clusters and the clustered miRNAs tend to be evolutionarily conserved. We proposed a "functional co-adaptation" model to explain how clustering helps newly emerged miRNAs survive and develop functions. We presented evidence that abundance of miRNAs in the same clusters were highly correlated and those miRNAs exerted cooperative repressive effects on target genes in human tissues. By transfecting miRNAs into human and fly cells and extensively profiling the transcriptome alteration with deep-sequencing, we further demonstrated the functional co-adaptation between new and old miRNAs in the miR-17-92 cluster. Our population genomic analysis suggest that positive Darwinian selection might be the driving force underlying the formation and evolution of miRNA clustering. Our model provided novel insights into mechanisms and evolutionary significance of miRNA clustering.

Indexed as

Gene Expression RegulationMultigene FamilyAnimalsBiological EvolutionCluster AnalysisConserved SequenceEvolution, MolecularGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansMicroRNAsSelection, GeneticSequence Analysis, RNATranscriptomeMicroRNAscoordinated regulationevolutionfunctional co-adaptationmiR-17–92 cluster.miRNA clustersmRNA-Seqnatural selection

Identifiers

PMID27189568
PMCPMC4989102
OpenAlexW2344940604

What OpenQuestion holds

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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.