Single-Cell Analysis

Single-Cell Analysis encompasses technologies measuring molecular features including gene expression, protein levels, epigenetic modifications, or metabolites in individual cells rather than population averages, revealing cellular heterogeneity invisible in bulk measurements. These approaches employ diverse platforms including single-cell RNA sequencing profiling transcriptomes, mass cytometry measuring 40-plus proteins simultaneously, single-cell ATAC-seq mapping chromatin accessibility, or spatial transcriptomics combining molecular profiling with tissue localisation.

The biopharmaceutical industry increasingly applies single-cell technologies across research, development, and therapeutic applications. Disease research employs single-cell profiling to identify pathogenic cell subsets, understand tumour heterogeneity, or map immune landscape changes. Biomarker discovery reveals cell-type-specific signatures predicting treatment responses or disease subtypes. Cell therapy characterisation employs single-cell analysis to ensure product consistency, identify potent subsets, and understand mechanisms. Clinical trial correlative studies profile patient samples before and after treatment, revealing response mechanisms or resistance pathways. Manufacturing applications characterise production cell line heterogeneity or therapeutic cell product composition. Challenges include cost, technical complexity, and data analysis demands. As technologies mature through improved throughput, reduced costs, and enhanced sensitivity, single-cell analysis applications expand providing unprecedented resolution revealing cellular complexity and supporting personalised medicine approaches.