Single Cell Transcriptomes Derived from Human Cervical and Uterine Tissue during Pregnancy.

Area of Science:

• Reproductive biology
• Genomics
• Cellular and Molecular Medicine

Background:

• Understanding the cellular composition of human uterine and cervical tissues is crucial for reproductive health research.
• Previous studies often relied on bulk tissue analysis, limiting cellular resolution.

Purpose of the Study:

• To establish a workflow for generating single-cell transcriptomes from primary human uterine and cervical tissues.
• To identify and characterize distinct cell types and their defining genes within these tissues.
• To validate inferred cell identities using existing bulk sequencing data.

Main Methods:

• Single-cell RNA sequencing (scRNA-seq) was performed on primary human uterine and cervical tissue samples.
• Bioinformatic analysis was used to infer cell types and identify cell-type-specific genes.
• Meta-analysis of publicly available bulk sequencing and fluorescence-activated cell sorting (FACS) data was conducted for validation.

Main Results:

• A comprehensive catalogue of 310 single-cell transcriptomes was generated.
• Distinct cell populations within the uterine and cervical tissues were identified.
• Key genes defining each identified cell type were pinpointed.

Conclusions:

• The developed workflow enables high-resolution cellular and molecular characterization of human reproductive tissues.
• This study provides a valuable resource for understanding tissue heterogeneity and identifying cell-specific markers.
• Validation using independent datasets confirms the reliability of the inferred cell identities.