Evidence map›Paper›PMID 41676303›Full record

ArticleAmerican journal of translational research2026

Transcriptome-wide analysis of genes associated with collagen III in human skin.

Mengyun Chen, Gang Chen, Huayang Tang, Jindian Zha, Liming Hou, Jun Wang, Jun Zhao, Xiaodong Zheng

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Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mengyun ChenDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University Hefei, Anhui, P. R. China.
Gang ChenDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University Hefei, Anhui, P. R. China.
Huayang TangDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University Hefei, Anhui, P. R. China.
Jindian ZhaSchool of Health Management, Anhui Medical University Hefei, Anhui, P. R. China.
Liming HouXiamen 943 Cosmetics Co., LTD. Xiamen, Fujian, P. R. China.
Jun WangXiamen 943 Cosmetics Co., LTD. Xiamen, Fujian, P. R. China.
Jun ZhaoDepartment of Microbiology, Anhui Medical University Hefei, Anhui, P. R. China.
Xiaodong ZhengDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University Hefei, Anhui, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo gain a deeper understanding of the association between several widely used skin aging-related proteins and all other genes within the genome.

methodsSkin transcriptome sequencing data of 142 healthy controls across three different populations were mapped to the NCBI build 37 reference genome. Quantified gene abundances were obtained, and missing data were imputed. Principal component analysis was performed to identify sample stratification. Finally, linear regression analyses were conducted to investigate the relationships between the expression levels of these widely used proteins and all other genes.

resultsFollowing realignment and abundance calculation, a total of 63,677 genes were obtained, and 20,476 genes remained after the quality control. Principal component analysis (PCA) results indicated sample stratification among different populations. Upon performing linear regression analyses across the separate datasets, consistent results were observed. The analysis revealed five protein-coding genes significantly associated with collagen III (

conclusionsThese findings highlight the crucial role of ECM-receptor interaction in the context of collagen III- and fibronectin-related genes, providing valuable insights into the underlying biological mechanisms.

Indexed as

Agingcollagen IIIelastinextracellular matrix proteinsfibronectin

Identifiers

PMID41676303
PMCPMC12886158

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