PlacentaCellEnrich
PlacentaCellEnrich analyzes gene sets to detect enrichment for placenta cell-specific expression using human single-cell RNA-Sequencing (scRNA-Seq) datasets, including first-trimester placentas, to enable characterization of gene functions across placental cell types.
Key Features:
- Gene Set Enrichment Analysis: Tests input gene sets for enrichment of genes with placenta cell-specific expression patterns.
- Human scRNA-Seq Reference: Leverages curated human placental single-cell RNA-Sequencing (scRNA-Seq) datasets, including first-trimester samples.
- Cell-Type Specificity Detection: Identifies genes exhibiting expression patterns unique to specific placental cell types.
Scientific Applications:
- Comparative Analysis: Compares gene expression patterns between model systems and human placental cells to support translational studies.
- Placental Development Studies: Identifies cell-specific genes to inform investigations of placental development and function.
- Gene Function Characterization: Aids in elucidating roles of specific genes within distinct placental cell types.
Methodology:
Analyzes input gene sets against a curated database of human placental scRNA-Seq data and identifies enrichment for genes with expression patterns unique to specific placental cell types.
Topics
Details
- License:
- MIT
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Jain A, Tuteja G. PlacentaCellEnrich: A tool to characterize gene sets using placenta cell-specific gene enrichment analysis. Placenta. 2021;103:164-171. doi:10.1016/j.placenta.2020.10.029. PMID:33137644. PMCID:PMC7920947.