Count matrix of cells and transcripts from scRNA-seq in the hippocampus of mesial temporal lobe epilepsy associated with hippocampal sclerosis

For example, it helped understand how a key molecule like RNA behaves over time, shedding light on the progressive nature of MTLE-HS. Single-cell RNA sequencing (scRNA-seq) using the 10x Genomics platform provides detailed transcriptomic profiling of individual cells within complex tissues.

This method typically produces three primary files: a count matrix (matrix.mtx), a feature file (features.tsv or genes.tsv), and a barcode file (barcodes.tsv). The count matrix records gene expression levels through UMI counts for each gene in each cell. The feature file lists the detected genes or transcripts, and the barcode file contains unique identifiers for each captured cell.