Evidence map›Paper›PMID 33691475›Full record

ArticleStem cells and development2021

Downregulation of SUV39H1 and CITED2 Exerts Additive Effect on Promoting Adipogenic Commitment of Human Mesenchymal Stem Cells.

Lun Tan, Linh Tran, Stephanie Ferreyra, Jose A Moran, Zachary Skovgaard, Amparo Trujillo, Esra Ibili, Yuanxiang Zhao

Open access · greenAbstract read
In one paragraph

Article in Stem cells and development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Lun TanBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
Linh TranBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
Stephanie FerreyraBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
Jose A MoranBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
Zachary SkovgaardBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
Amparo TrujilloBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
Esra IbiliBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
Yuanxiang ZhaoBiological Sciences Department, California State Polytechnic University at Pomona, Pomona, California, USA.
California State Polytechnic University · US

Funding

Molecular and Cellular Profiling of Human AdipogensisSC3GM116720 · NIGMS · CALIFORNIA STATE POLY U POMONA · PI ZHAO, YUANXIANG · 2016 to 2019
$435k
NIGMS NIH HHS SC3 GM116720
6 · The paper itself

Abstract

Human adipogenesis is the process through which uncommitted human mesenchymal stem cells (hMSCs) differentiate into adipocytes. Through a

Indexed as

Down-RegulationAdipocytesAdipogenesisCCAAT-Enhancer-Binding ProteinsCell CountCell DifferentiationCells, CulturedGene Expression ProfilingHumansMesenchymal Stem CellsMethyltransferasesPPAR gammaRepressor ProteinsRNA InterferenceTime FactorsTrans-ActivatorsCCAAT-Enhancer-Binding ProteinsCEBPA protein, humanCITED2 protein, humanMethyltransferasesPPAR gammaRepressor ProteinsSUV39H1 protein, humanTrans-Activatorsadditive effect and osteogenesisadipogenesisCITED2human mesenchymal stem cells (hMSCs)SUV39H1

Identifiers

PMID33691475
PMCPMC8106253
OpenAlexW3134069497

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.