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pmid:35835980

Differential gene screening and bioinformatics analysis of epidermal stem cells and dermal fibroblasts during skin aging.

Weisheng Hu · Yuan Jing · Qingqian Yu · Ning Huang

Scientific reports · 2022 doi:10.1038/s41598-022-16314-z

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35835980
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science-record
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title
Differential gene screening and bioinformatics analysis of epidermal stem cells and dermal fibroblasts during skin aging.
doi
10.1038/s41598-022-16314-z
pmid
35835980
authors array · 4 items
[0]
Weisheng Hu
[1]
Yuan Jing
[2]
Qingqian Yu
[3]
Ning Huang
journal
Scientific reports
year
2022
abstract
To explore the differentially expressed genes (DEGs) and potential therapeutic targets of skin aging in GEO database by bioinformatics methods. Dermal fibroblasts and skin aging related data sets GSE110978 and GSE117763 were downloaded from GEO database, and epidermal stem cells and skin aging related data sets GSE137176 were downloaded. GEO2R was used to screen DEGs of candidate samples from the three microarrays, GO function analysis and KEGG pathway analysis were performed. Protein interaction network was constructed using String database, and hub gene was obtained by Cytoscape. NetworkAnalys was used to analyze the coregulatory network of DEGs and MicroRNA (miRNA), interaction with TF, and protein-chemical interactions of DEGs. Finally, DSigDB was used to determine candidate drugs for DEGs. Six DEGs were obtained. It mainly involves the cytological processes such as response to metal ion, and is enriched in mineral absorption and other signal pathways. Ten genes were screened by PPI analysis. Gene-miRNA coregulatory network found that Peg3 and mmu-miR-1931 in DEGs were related to each other, and Cybrd1 was related to mmu-miR-290a-5p and mmu-miR-3082-5p. TF-gene interactions found that the transcription factor UBTF co-regulated two genes, Arhgap24 and Mpzl1. Protein-chemical Interactions analysis and identification of candidate drugs show results for candidate drugs. Try to explore the mechanism of hub gene action in skin aging progression, and to discover the key signaling pathways leading to skin aging, which may be a high risk of skin aging.
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sections[4] "Screening of DEGs and correlation analysis" paragraph 2
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The limma package14 of the R language is used to screen DEGs. The screening criteria are FDR < 0.05 and|log2 (FC) |> 1.
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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Six common DEGs (Arhgap24, Peg3, Mpzl1, Col14a1, Cybrd1 and Trf) were identified.
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sections[15] "Screening of DEGs" paragraph 2
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Six common DEGs (Arhgap24, Peg3, Mpzl1, Col14a1, Cybrd1 and Trf) were identified.
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The effect of aging on the transcriptome of murine dermal fibroblasts
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The effect of cell culture on age-related transcriptomic changes in dermal fibroblasts
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Time-driven molding of the epidermal stem cell transcriptome
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