UGR-SingleCell

Single-Cell Transcriptomics & Epigenomics


Overview

UGR-SingleCell is a specialised molecular profiling resource established in 2024, comprising 450 participants aged 18–40 years. It integrates single-cell transcriptomic and epigenomic profiling with genome-wide genotyping, haematological measurements and infectious disease biomarkers.

The resource supports investigations into cellular heterogeneity, gene regulation, immune cell biology and the molecular mechanisms underlying complex traits and infectious diseases in African populations. By integrating cellular-level molecular measurements with genomic and phenotypic information, UGR-SingleCell provides opportunities to characterise cell-type-specific regulatory processes and their contributions to health and disease.


Cohort Information

  • Project identifier: UGR Single-Cell Study
  • Established: 2024
  • Participants: 450
  • Age range: 18–40 years
  • Research focus: Single-cell molecular profiling and immune cell biology

Genomic, Cellular and Phenotypic Data

  • Single-cell transcriptomics: Single-cell RNA sequencing (scRNA-seq) using the 10x Genomics Chromium platform
  • Single-cell epigenomics: Single-cell ATAC sequencing (scATAC-seq) using the 10x Genomics Chromium platform
  • Cellular sample processing: Peripheral blood mononuclear cell (PBMC) isolation
  • Genome-wide genotyping: Genotyping using the Illumina Global Screening Array (GSA)
  • Haematological phenotyping: Full blood count (FBC) measurements covering 18 traits
  • Infectious disease and inflammatory biomarkers: HIV, hepatitis B and C, C-reactive protein (CRP), Epstein–Barr virus (EBV) and cytomegalovirus (CMV)

Research Applications

UGR-SingleCell supports investigations into cell-type-specific gene expression, chromatin accessibility, genetic regulation of gene expression, immune cell diversity and molecular responses associated with infectious diseases.

The integration of single-cell molecular profiles with genomic and clinical measurements provides opportunities to investigate regulatory mechanisms underlying complex traits, identify cell-type-specific molecular signatures and improve understanding of disease susceptibility in African populations.


Research collaboration: Sarah Kim-Hellmuth