Evidence map›Paper›PMID 31089336›Full record

ArticleStem cells international2019

An Investigation about Gene Modules Associated with hDPSC Differentiation for Adolescents.

Wenjing Xu, Jianqiang Li, Juan Li, Ji-Jiang Yang, Qing Wang, Bo Liu, Weiliang Qiu

Abstract read
In one paragraph

Article in Stem cells international, 2019. 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
–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

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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.

  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

7 authors.

Wenjing XuFaculty of Information Technology, Beijing University of Technology, Beijing, China.ORCID 0000-0002-1144-6468
Jianqiang LiFaculty of Information Technology, Beijing University of Technology, Beijing, China.
Juan LiFaculty of Information Technology, Beijing University of Technology, Beijing, China.
Ji-Jiang YangTsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China.ORCID 0000-0002-4124-6408
Qing WangTsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China.
Bo LiuFaculty of Information Technology, Beijing University of Technology, Beijing, China.
Weiliang QiuChanning Division of Network Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, USA.ORCID 0000-0002-9155-6957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental pulp stem cells (DPSCs) have the property of self-renewal and multidirectional differentiation so that they have the potential for future regenerative therapy of various diseases. The latest breakthrough in the biology of stem cells and the development of regenerative biology provides an effective strategy for regenerative therapy. However, in the medium promoting differentiation during long-term passage, DPSCs would lose their differentiation capability. Some efforts have been made to find genes influencing human DPSC (hDPSC) differentiation based on hDPSCs isolated from adults. However, hDPSC differentiation is a very complex process, which involves multiple genes and multielement interactions. The purpose of this study is to detect sets of correlated genes (i.e., gene modules) that are associated to hDPSC differentiation at the crown-completed stage of the third molars, by using weighted gene coexpression network analysis (WGCNA). Based on the gene expression dataset GSE10444 from Gene Expression Omnibus (GEO), we identified two significant gene modules: yellow module (742 genes) and salmon module (9 genes). The WEB-based Gene SeT AnaLysis Toolkit showed that the 742 genes in the yellow module were enriched in 59 KEGG pathways (including Wnt signaling pathway), while the 9 genes in the salmon module were enriched in one KEGG pathway (neurotrophin signaling pathway). There were 660 (7) genes upregulated at P10 and 82 (2) genes downregulated at P10 in the yellow (salmon) module. Our results provide new insights into the differentiation capability of hDPSCs.

Identifiers

PMID31089336
PMCPMC6476005

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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.