Evidence map›Paper›PMID 24091627›Full record

ArticleCell cycle (Georgetown, Tex.)2013

microRNA-141 regulates BMI1 expression and induces senescence in human diploid fibroblasts.

Manjari Dimri, Jeremy D Carroll, Joon-Ho Cho, Goberdhan P Dimri

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 49 citations in OpenAlex.

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  20. Senescence-Associated MicroRNAs.International review of cell and molecular biology · 2017
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Manjari DimriDepartment of Biochemistry and Molecular Medicine; The George Washington University Medical Center; Washington, DC USA.
Jeremy D Carroll
Joon-Ho Cho
Goberdhan P Dimri
Washington University Medical Center · USGeorge Washington University · US

Funding

The role of BMI1 in breast cancerR01CA094150 · NCI · NORTHSHORE UNIV HEALTHSYSTEM RES INST · PI DIMRI, GOBERDHAN P · 2003 to 2013
$2.7M
NCI NIH HHS R01 CA094150
6 · The paper itself

Abstract

Polycomb group protein BMI1 is an important regulator of senescence, aging, and cancer. On one hand, it is overexpressed in cancer cells and is required for self-renewal of stem cells. On the other hand, it is downregulated during senescence and aging. MicroRNAs have emerged as major regulators of almost every gene associated with cancer, aging, and related pathologies. At present, very little is known about the miRNAs that regulate the expression of BMI1. Here, we report that miR-141 posttranscriptionally downregulates BMI1 expression in human diploid fibroblasts (HDFs) via a miR-141 targeting sequence in the 3' untranslated region of BMI1 mRNA. We also show that overexpression of miR-141 induces premature senescence in HDFs via targeting of BMI1 in normal but not in exogenous BMI1-overexpressing HDFs. Induction of premature senescence in HDFs was accompanied by upregulation of p16INK4a, an important downstream target of BMI1 and a major regulator of senescence. Our results suggest that miR-141-based therapies could be developed to treat pathologies where BMI1 is deregulated.

Indexed as

Cell LineCellular SenescenceCyclin-Dependent Kinase Inhibitor p16DiploidyDown-RegulationFibroblastsHumansMicroRNAsPolycomb Repressive Complex 1Retinoblastoma ProteinSignal TransductionUp-RegulationBMI1 protein, humanCyclin-Dependent Kinase Inhibitor p16MicroRNAsMIRN141 microRNA, humanPolycomb Repressive Complex 1Retinoblastoma ProteinagingBMI1microRNAmiR-141polycomb group proteinssenescence

Identifiers

PMID24091627
PMCPMC3906339
OpenAlexW1986798818

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.