Evidence map›Paper›PMID 20520778›Full record

ArticlePloS one2010

MicroRNA networks in mouse lung organogenesis.

Jie Dong, Guoqian Jiang, Yan W Asmann, Sandra Tomaszek, Jin Jen, Thomas Kislinger, Dennis A Wigle

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

56 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
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  6. Integrating multiomics longitudinal data to reconstruct networks underlying lung development.American journal of physiology. Lung cellular and molecular physiology · 2019
    Article
  7. Article
  8. Article
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  10. Time-resolved proteome profiling of normal lung development.American journal of physiology. Lung cellular and molecular physiology · 2018
    Article
  11. Article
  12. MicroRNA-29c Prevents Pulmonary Fibrosis by Regulating Epithelial Cell Renewal and Apoptosis.American journal of respiratory cell and molecular biology · 2017
    Article
  13. Article
  14. Article
  15. ENaCs as Both Effectors and Regulators of MiRNAs in Lung Epithelial Development and Regeneration.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2017
    Review
  16. Article
  17. Article
  18. Article
  19. Regulation of alveolar septation by microRNA-489.American journal of physiology. Lung cellular and molecular physiology · 2016
    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

7 authors at 4 institutions in 2 countries.

Jie DongDivision of General Thoracic Surgery, Mayo Clinic Cancer Center, Mayo Clinic, Rochester, Minnesota, USA.
Guoqian Jiang
Yan W Asmann
Sandra Tomaszek
Jin Jen
Thomas Kislinger
Dennis A Wigle
Mayo Clinic · USMayo Clinic in Florida · USWinnMed · USOntario Institute for Cancer Research · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are known to be important regulators of both organ development and tumorigenesis. MiRNA networks and their regulation of messenger RNA (mRNA) translation and protein expression in specific biological processes are poorly understood.

methodsWe explored the dynamic regulation of miRNAs in mouse lung organogenesis. Comprehensive miRNA and mRNA profiling was performed encompassing all recognized stages of lung development beginning at embryonic day 12 and continuing to adulthood. We analyzed the expression patterns of dynamically regulated miRNAs and mRNAs using a number of statistical and computational approaches, and in an integrated manner with protein levels from an existing mass-spectrometry derived protein database for lung development.

resultsIn total, 117 statistically significant miRNAs were dynamically regulated during mouse lung organogenesis and clustered into distinct temporal expression patterns. 11,220 mRNA probes were also shown to be dynamically regulated and clustered into distinct temporal expression patterns, with 3 major patterns accounting for 75% of all probes. 3,067 direct miRNA-mRNA correlation pairs were identified involving 37 miRNAs. Two defined correlation patterns were observed upon integration with protein data: 1) increased levels of specific miRNAs directly correlating with downregulation of predicted mRNA targets; and 2) increased levels of specific miRNAs directly correlating with downregulation of translated target proteins without detectable changes in mRNA levels. Of 1345 proteins analyzed, 55% appeared to be regulated in this manner with a direct correlation between miRNA and protein level, but without detectable change in mRNA levels.

conclusionSystematic analysis of microRNA, mRNA, and protein levels over the time course of lung organogenesis demonstrates dynamic regulation and reveals 2 distinct patterns of miRNA-mRNA interaction. The translation of target proteins affected by miRNAs independent of changes in mRNA level appears to be a prominent mechanism of developmental regulation in lung organogenesis.

Indexed as

AnimalsChromosomes, MammalianCluster AnalysisGene Expression Regulation, DevelopmentalGene Regulatory NetworksGenomeLungMiceMicroRNAsOrganogenesisPrincipal Component AnalysisRNA, MessengerSignal TransductionTime FactorsMicroRNAsRNA, Messenger

Identifiers

PMID20520778
PMCPMC2877109
OpenAlexW2127190444

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.