EPEK

EPEK compiles and curates gene expression, metabolite, and single nucleotide polymorphism (SNP) data related to human ectopic pregnancy to support analysis of molecular signatures and potential biomarkers.

Key Features:

• Data types: Contains 314 differentially expressed genes, 17 metabolites, and 3 SNPs reported in human ectopic pregnancy expression studies.
• Curation: Entries were collected through manual curation of published human expression profiles linked to ectopic pregnancy.
• Analytical focus: Includes computational analyses that highlight the involvement of cellular signaling processes in ectopic pregnancy.
• Biomarker candidates: Pinpoints potential exosome markers associated with ectopic pregnancy that may have diagnostic relevance.

Scientific Applications:

• Biomarker identification: Supports identification and prioritization of exosome markers and other molecular biomarkers for ectopic pregnancy.
• Pathogenesis research: Enables investigation of genetic and molecular factors implicated in the development of ectopic pregnancy and associated cellular signaling alterations.
• Data-driven hypothesis generation: Provides a curated set of differentially expressed genes, metabolites, and SNPs for generating hypotheses about molecular mechanisms in human ectopic pregnancy.

Methodology:

Data were manually curated from published human expression studies and subjected to computational analyses to assess involvement of cellular signaling processes and to identify potential exosome markers.