Evidence map›Paper›PMID 26459763›Full record

ArticleMolecular and cellular biology2016

MicroRNA 140 Promotes Expression of Long Noncoding RNA NEAT1 in Adipogenesis.

Ramkishore Gernapudi, Benjamin Wolfson, Yongshu Zhang, Yuan Yao, Peixin Yang, Hiroshi Asahara, Qun Zhou

Open access · bronzeAbstract read
In one paragraph

Article in Molecular and cellular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

72 citing papers in PubMed, 122 citations in OpenAlex.

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  19. Non-Coding RNAs and Adipogenesis.International journal of molecular sciences · 2023
    Review
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12 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Ramkishore GernapudiDepartment of Biochemistry and Molecular Biology, Greenebaum Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Benjamin WolfsonDepartment of Biochemistry and Molecular Biology, Greenebaum Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Yongshu ZhangDepartment of Biochemistry and Molecular Biology, Greenebaum Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Yuan YaoDepartment of Biochemistry and Molecular Biology, Greenebaum Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Peixin YangDepartment of Obstetrics, Gynecology and Reproductive Sciences at University of Maryland School of Medicine, Baltimore, Maryland, USA.
Hiroshi AsaharaThe Scripps Research Institute Department of Molecular and Experimental Medicine, La Jolla, California, USA Department of Systems Biomedicine, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan.
Qun ZhouDepartment of Biochemistry and Molecular Biology, Greenebaum Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland, USA qzhou@som.umaryland.edu.
University of Maryland, Baltimore · USTokyo Medical and Dental University · JP

Funding

Transcriptional Regulation of ChondrogenesisR01AR050631 · NIAMS · SCRIPPS RESEARCH INSTITUTE, THE · PI ASAHARA, HIROSHI · 2004 to 2021
$5.8M
Transcription factor Mohawk in tendon and ligament degeneration and regenerationR01AR065379 · NIAMS · SCRIPPS RESEARCH INSTITUTE, THE · PI ASAHARA, HIROSHI · 2014 to 2018
$2.1M
miR-140 and Breast Cancer PreventionR01CA163820 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI ZHOU, QUN · 2012 to 2016
$1.6M
Shikonin and Nrf2 ChemopreventionR01CA157779 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI ZHOU, QUN · 2013 to 2017
$1.4M
The role of microRNAs in chondrogenesis and arthritisR56AR050631 · NIAMS · SCRIPPS RESEARCH INSTITUTE, THE · PI ASAHARA, HIROSHI · 2009 to 2009
$475k
NCI NIH HHS CA157779A1NCI NIH HHS CA163820A1NCI NIH HHS R01 CA157779NCI NIH HHS R01 CA163820NIAMS NIH HHS AR050631NIAMS NIH HHS AR065379NIAMS NIH HHS R01 AR050631NIAMS NIH HHS R01 AR065379NIAMS NIH HHS R56 AR050631
6 · The paper itself

Abstract

More than 40% of the U.S. population are clinically obese and suffer from metabolic syndrome with an increased risk of postmenopausal estrogen receptor-positive breast cancer. Adipocytes are the primary component of adipose tissue and are formed through adipogenesis from precursor mesenchymal stem cells. While the major molecular pathways of adipogenesis are understood, little is known about the noncoding RNA signaling networks involved in adipogenesis. Using adipocyte-derived stem cells (ADSCs) isolated from wild-type and microRNA 140 (miR-140) knockout mice, we identify a novel miR-140/long noncoding RNA (lncRNA) NEAT1 signaling network necessary for adipogenesis. miR-140 knockout ADSCs have dramatically decreased adipogenic capabilities associated with downregulation of NEAT1 expression. We identified a miR-140 binding site in NEAT1 and found that mature miR-140 in the nucleus can physically interact with NEAT1, leading to increased NEAT1 expression. We demonstrated that reexpression of NEAT1 in miR-140 knockout ADSCs is sufficient to restore their ability to undergo differentiation. Our results reveal an exciting new noncoding RNA signaling network that regulates adipogenesis and that is a potential new target in the prevention or treatment of obesity.

Indexed as

AdipocytesAdipogenesisAdipose TissueAnimalsCell DifferentiationCells, CulturedFemaleHumansMiceMicroRNAsRNA, Long NoncodingStem CellsUp-RegulationMicroRNAsMirn140 microRNA, humanMIRN140 microRNA, mouseNEAT1 long non-coding RNA, humanNEAT1 long non-coding RNA, mouseRNA, Long Noncoding

Identifiers

PMID26459763
PMCPMC4702608
OpenAlexW1934590896

What OpenQuestion holds

Textmetadata
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.