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.