Single-Cell Sequencing¶
Definition
AI-generated
Single-cell sequencing profiles DNA or RNA from individual cells rather than bulk tissue, revealing cell-type-specific genotypes, expression, and heterogeneity in large cell populations.
Topics
Why it matters in GWAS¶
Single-cell data can refine which cell types and states carry GWAS effects (e.g. expression and chromatin programs) and support mechanistic interpretation beyond bulk-level associations.
Example usage¶
"Quality-controlled Single-Cell Sequencing data were used to prioritize robust loci and downstream functional follow-up."
Related terms¶
References¶
- Cuomo ASE, Nathan A, Raychaudhuri S, et al. (2023). Single-cell genomics meets human genetics. Nat Rev Genet. https://doi.org/10.1038/s41576-023-00599-5
- Kolodziejczyk AA, et al. (2015). The technology and biology of single-cell RNA sequencing. Mol Cell.
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