Single-Cell Biology

Single-cell technologies have revolutionised understanding of cellular heterogeneity, with clinical applications expanding. The session covers single-cell RNA-seq (10x Chromium, BD Rhapsody, Parse Biosciences), single-cell ATAC-seq for chromatin accessibility, single-cell proteomics, spatial transcriptomics integration (Visium, MERFISH, CosMx), foundation models for single-cell biology (Geneformer, scGPT, Universal Cell Embeddings), and clinical applications in oncology, immunology and developmental biology. Discussion addresses the Human Cell Atlas project, cell-state annotation challenges, single-cell technology cost trajectories, computational integration across batches and platforms, and the role of single-cell data in cell-therapy quality control.