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Comprehensive transcriptome data to identify downstream genes of testosterone signalling in dermal papilla cells.

ABSTRACT: Testosterone-related steroid hormones are associated with various types of diseases, including prostate cancer and androgenetic alopecia (AGA). The testosterone or dihydroxy testosterone (DHT) circulates through the blood, binds to the androgen receptor (AR) in the cytoplasm, and finally enters the nucleus to activate downstream target genes. We previously found that immortalized dermal papilla cells (DPCs) lost AR expression, which may be explained by the repeated cell passages of DPCs. To compensate for the AR expression, DPCs that express AR exogenously were established. In this study, we performed an RNA-Seq analysis of the AR-expressing and non-AR-expressing DPCs in the presence or absence of DHT to identify the downstream target genes regulated by AR signalling. Furthermore, we treated DPCs with minoxidil sulphate, which has the potential to treat AGA. This is the first comprehensive analysis to identify the downstream genes involved in testosterone signalling in DPCs. Our manuscript provides high-priority data for the discovery of molecular targets for prostate cancer and AGA.

SUBMITTER: Matsusaka H

PROVIDER: S-EPMC9709033 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Comprehensive transcriptome data to identify downstream genes of testosterone signalling in dermal papilla cells.

Matsusaka Himari H Wu Tao T Furuya Kai K Yamada-Kato Tomoe T Bai Lanlan L Tomita Hiroshi H Sugano Eriko E Ozaki Taku T Kiyono Tohru T Okunishi Isao I Fukuda Tomokazu T

Scientific data 20221129 1

Testosterone-related steroid hormones are associated with various types of diseases, including prostate cancer and androgenetic alopecia (AGA). The testosterone or dihydroxy testosterone (DHT) circulates through the blood, binds to the androgen receptor (AR) in the cytoplasm, and finally enters the nucleus to activate downstream target genes. We previously found that immortalized dermal papilla cells (DPCs) lost AR expression, which may be explained by the repeated cell passages of DPCs. To comp ...[more]

PMID: 36446804

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Project description:PurposePancreatic ductal adenocarcinoma (PDAC) has a five-year survival rate of less than 5%. Absence of symptoms at primary tumor stages, as well as high aggressiveness of the tumor can lead to high mortality in cancer patients. Most patients are recognized at the advanced or metastatic stage without surgical symptom, because of the lack of reliable early diagnostic biomarkers. The objective of this work was to identify potential cancer biomarkers by integrating transcriptome data.MethodsSeveral transcriptomic datasets comprising of 11 microarrays were retrieved from the GEO database. After pre-processing, a meta-analysis was applied to identify differentially expressed genes (DEGs) between tumor and nontumor samples for datasets. Next, co-expression analysis, functional enrichment and survival analyses were used to determine the functional properties of DEGs and identify potential prognostic biomarkers. In addition, some regulatory factors involved in PDAC including transcription factors (TFs), protein kinases (PKs), and miRNAs were identified.ResultsAfter applying meta-analysis, 1074 DEGs including 539 down- and 535 up-regulated genes were identified. Pathway enrichment analyzes using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed that DEGs were significantly enriched in the HIF-1 signaling pathway and focal adhesion. The results also showed that some of the DEGs were assigned to TFs that belonged to 23 conserved families. Sixty-four PKs were identified among the DEGs that showed the CAMK family was the most abundant group. Moreover, investigation of corresponding upstream regions of DEGs identified 11 conserved sequence motifs. Furthermore, weighted gene co-expression network analysis (WGCNA) identified 8 modules, more of them were significantly enriched in Ras signaling, p53 signaling, MAPK signaling pathways. In addition, several hubs in modules were identified, including EMP1, EVL, ELP5, DEF8, MTERF4, GLUP1, CAPN1, IGF1R, HSD17B14, TOM1L2 and RAB11FIP3. According to survival analysis, it was identified that the expression levels of two genes, EMP1 and RAB11FIP3 are related to prognosis.ConclusionWe identified several genes critical for PDAC based on meta-analysis and system biology approach. These genes may serve as potential targets for the treatment and prognosis of PDAC.

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Comprehensive transcriptome data to identify downstream genes of testosterone signalling in dermal papilla cells.

Publications

Comprehensive transcriptome data to identify downstream genes of testosterone signalling in dermal papilla cells.

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