Single-cell gene expression analysis enables researchers to profile transcriptomes at individual cell resolution, helping to reveal cell types, functional states and cellular responses that may be missed by bulk RNA sequencing. It is widely used to study complex tissues, immune populations, developmental systems and disease-associated cellular heterogeneity.
Novogene Europe supports single-cell and single-nucleus 3′ gene expression studies using 10x Genomics GEM-X technology, with GEM-X workflows available for suitable projects. The service generates cell-level transcriptome profiles for downstream analysis, including quality assessment, clustering, marker gene identification, cell-type annotation and differential expression analysis.







