Evidence map›Paper›PMID 41262126›Full record

ArticleStem cells international2025

Identification and Validation of a New Functional Gene

Shuhong Zhang, Xiao Li, Zhanping Yang, Jialong Li, Gang Liu, Yongkun Sun, Huigen Feng, Xianwei Wang

Abstract read
In one paragraph

Article in Stem cells international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shuhong ZhangHenan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, Henan, China.ORCID https://orcid.org/0000-0002-1866-1400
Xiao LiHenan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, Henan, China.
Zhanping YangHenan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, Henan, China.
Jialong LiHenan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, Henan, China.
Gang LiuHenan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, Henan, China.
Yongkun SunHenan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Huigen FengSchool of Life Sciences and Biotechnology, Sanquan College of Xinxiang Medical University, Xinxiang, Henan, China.ORCID https://orcid.org/0000-0001-5551-6272
Xianwei WangHenan Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, Henan, China.ORCID https://orcid.org/0000-0002-1490-8736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteogenic differentiation is a crucial process in which bone marrow mesenchymal stem cells (BMSCs) differentiate into osteoblasts, involving the regulation of multiple genes and signaling pathways. The Methods: By analyzing microarray datasets (GSE12266, GSE18043, and GSE80614), the limma package was used to screen for differentially expressed genes (DEGs). Combined with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, key genes and signaling pathways related to osteogenic differentiation were identified. Further, through protein-protein interaction (PPI) network analysis and the Finding Regulatory Elements by Differential Expression and Network-Based Statistical Analysis (FRIEND) method, Results: Conclusion: This study reveals that

Indexed as

hBMSCsosteogenic differentiationTSC22D3

Identifiers

PMID41262126
PMCPMC12626687

What OpenQuestion holds

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Registered trials

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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.