Evidence map›Paper›PMID 22580472›Full record

ReviewCell cycle (Georgetown, Tex.)2012

The emerging functions of the p53-miRNA network in stem cell biology.

Chao-Po Lin, Yong Jin Choi, Geoffrey G Hicks, Lin He

Open access · bronzeAbstract readReview
In one paragraph

Review in Cell cycle (Georgetown, Tex.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  11. Cellular reprogramming in skin cancer.Seminars in cancer biology · 2015
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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

4 authors at 3 institutions in 5 countries.

Chao-Po LinDivision of Cellular and Developmental Biology, Molecular and Cell Biology Department, University of California at Berkeley, Berkeley, CA, USA.
Yong Jin Choi
Geoffrey G Hicks
Lin He
Berkeley College · USInstitute of Cell Biology · UAInstitut thématique Génétique, génomique et bioinformatique · FR

Funding

miR-200 miRNAs repress tumor metastasis in lung adenocarcinomaR01CA139067 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI HE, LIN · 2009 to 2021
$3.3M
NCI NIH HHS R01 CA139067
6 · The paper itself

Abstract

The p53 pathway plays an essential role in tumor suppression, regulating multiple cellular processes coordinately to maintain genome integrity in both somatic cells and stem cells. Despite decades of research dedicated to p53 function in differentiated somatic cells, we are just starting to understand the complexity of the p53 pathway in the biology of pluripotent stem cells and tissue stem cells. Recent studies have demonstrated that p53 suppresses proliferation, promotes differentiation of embryonic stem (ES) cells and constitutes an important barrier to somatic reprogramming. In addition, emerging evidence reveals the role of the p53 network in the self-renewal, proliferation and genomic integrity of adult stem cells. Interestingly, non-coding RNAs, and microRNAs in particular, are integral components of the p53 network, regulating multiple p53-controlled biological processes to modulate the self-renewal and differentiation potential of a variety of stem cells. Thus, elucidation of the p53-miRNA axis in stem cell biology may generate profound insights into the mechanistic overlap between malignant transformation and stem cell biology.

Indexed as

Adult Stem CellsCellular ReprogrammingHumansMicroRNAsPluripotent Stem CellsStem CellsTumor Suppressor Protein p53MicroRNAsTumor Suppressor Protein p53

Identifiers

PMID22580472
PMCPMC3368858
OpenAlexW2069167711

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.