Single Cell RNA-Seq 10K cells,50K reads/cell, 500 M reads/sample

Single-cell RNA sequencing (scRNA-seq) is a molecular biology technique used to analyze the gene expression profile of individual cells. Unlike traditional RNA sequencing, which profiles the average gene expression of a large population of cells, scRNA-seq can provide insights into the transcriptional diversity and heterogeneity within a tissue or population of cells.

The scRNA-seq workflow involves the isolation and capture of individual cells, followed by the extraction and sequencing of their RNA content. The resulting sequence data can be analyzed to identify the different cell types present in a sample, as well as to investigate the gene expression patterns and regulatory networks within each individual cell.

ScRNA-seq has numerous applications in various fields of research, including developmental biology, cancer research, neuroscience, and immunology, among others. It can be used to identify rare cell populations, characterize cell subtypes and states, and investigate the molecular mechanisms underlying various cellular processes and diseases.

ScRNA-seq has several advantages over traditional bulk RNA sequencing, including the ability to detect rare or low-abundance cell types, identify cell-to-cell transcriptional variability, and uncover novel cell states and regulatory networks.