Evidence map›Paper›PMID 38067167›Full record

ReviewCells2023

The Research Progress in Transforming Growth Factor-β2.

Meng-Yan Wang, Wen-Juan Liu, Le-Yi Wu, Gang Wang, Cheng-Lin Zhang, Jie Liu

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Meng-Yan WangDepartment of Pathophysiology, Shenzhen University Medical School, Shenzhen 518060, China.
Wen-Juan LiuDepartment of Pathophysiology, Shenzhen University Medical School, Shenzhen 518060, China.
Le-Yi WuDepartment of Pathophysiology, Shenzhen University Medical School, Shenzhen 518060, China.
Gang WangDepartment of Pathophysiology, Shenzhen University Medical School, Shenzhen 518060, China.ORCID 0000-0003-3382-9977
Cheng-Lin ZhangDepartment of Pathophysiology, Shenzhen University Medical School, Shenzhen 518060, China.ORCID 0000-0003-1787-9990
Jie LiuDepartment of Pathophysiology, Shenzhen University Medical School, Shenzhen 518060, China.
Shenzhen University · CN

Funding

Natual Science Fundation of China 32271151, 82370259Natural Science Foundation of Guangdong Province of China 2022A1515012310, 2020A1515010259
6 · The paper itself

Abstract

Transforming growth factor-beta 2 (TGF-β2), an important member of the TGF-β family, is a secreted protein that is involved in many biological processes, such as cell growth, proliferation, migration, and differentiation. TGF-β2 had been thought to be functionally identical to TGF-β1; however, an increasing number of recent studies uncovered the distinctive features of TGF-β2 in terms of its expression, activation, and biological functions. Mice deficient in TGF-β2 showed remarkable developmental abnormalities in multiple organs, especially the cardiovascular system. Dysregulation of TGF-β2 signalling was associated with tumorigenesis, eye diseases, cardiovascular diseases, immune disorders, as well as motor system diseases. Here, we provide a comprehensive review of the research progress in TGF-β2 to support further research on TGF-β2.

Indexed as

Transforming Growth Factor beta2Transforming Growth FactorsAnimalsCell CycleCell DifferentiationCell ProliferationMiceTransforming Growth Factor beta2Transforming Growth Factorsbiological functionregulationsignalling pathwaytransforming growth factor-beta 2

Identifiers

PMID38067167
PMCPMC10706148
OpenAlexW4389190911

What Socratic 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 Socratic graph.