Transcriptomics

Dataset Information

0

Differential expression from healthy skin derived melanocyte-keratinocyte co-culture from familial melanoma patients vs controls


ABSTRACT: Background: Familial melanoma accounts for 10% of cases, withCDKN2A being the main high-risk gene. However, the mechanisms underlying melanomagenesis in individuals at high risk of developing melanoma remain poorly understood. Objective: To analyze the transcriptome of melanocyte/keratinocyte co-cultures derived from healthy skin from familial melanoma patients vs. controls, to comprehend melanoma development. Methods: Primary melanocyte-keratinocyte co-cultures were established from healthy skin biopsies from 16 unrelated familial melanoma patients (8 CDKN2A mutant, 8 CDKN2A wild-type) and from 7 healthy controls. Whole transcriptome was captured using the SurePrint G3 Human Microarray. Transcriptome analyses included: differential gene expression, functional enrichment, and protein-protein interaction (PPI) networks. Results: We identified a gene profile associated with familial melanoma independently of CDKN2A germline status. Functional enrichment analysis of this profile showed a downregulation of pathways related to DNA repair and immune response in familial melanoma (P < 0.05). In addition, the PPI network analysis revealed a network that consisted of double stranded DNA repair genes (including BRCA1, BRCA2, BRIP1, and FANCA), immune response genes and regulation of chromosome segregation. The hub gene was BRCA1. Conclusion: The constitutive deregulation of BRCA1 pathway genes and immune response in healthy skin could be a mechanism related with melanoma risk.

ORGANISM(S): Homo sapiens

PROVIDER: GSE160902 | GEO | 2022/11/02

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA674817 | ENA
2011-01-01 | E-GEOD-25164 | biostudies-arrayexpress
2008-05-07 | E-GEOD-5982 | biostudies-arrayexpress
2016-12-01 | GSE85010 | GEO
2011-01-01 | GSE25164 | GEO
2013-12-31 | E-GEOD-44805 | biostudies-arrayexpress
2019-01-01 | GSE109206 | GEO
2019-01-01 | GSE109207 | GEO
2014-09-15 | GSE54939 | GEO
2024-01-28 | GSE194373 | GEO