single-cell RNA-seq Insights

What is single-cell RNA-seq?

Single-cell RNA sequencing (scRNA-seq) is a high-throughput technology used to measure the gene expression levels of individual cells. It provides a detailed view of cellular heterogeneity and allows researchers to study cell types, states, and functions within a population. Common applications include identifying novel cell types, understanding developmental processes, studying disease mechanisms, and discovering biomarkers.

Find organizations using single-cell RNA-seq on Sumble →

What other technologies are related to single-cell RNA-seq?

single-cell RNA-seq Competitor Technologies

single-cell ATAC-seq

Single-cell ATAC-seq provides information about chromatin accessibility at the single-cell level, offering insights into gene regulation, which can be seen as a competitor since it provides different, but related data from scRNA-seq.

mentioned alongside single-cell RNA-seq in 78% (115) of relevant job posts

bulk RNA-seq

Bulk RNA-seq measures gene expression across a population of cells, while single-cell RNA-seq profiles individual cells. Bulk RNA-seq is a competing technology that has been largely replaced by single-cell for many applications.

mentioned alongside single-cell RNA-seq in 32% (99) of relevant job posts

spatial transcriptomics

Spatial transcriptomics provides gene expression data within a spatial context, offering an alternative approach to understanding cellular heterogeneity within tissues, so it is a competitor.

mentioned alongside single-cell RNA-seq in 9% (228) of relevant job posts

single-cell RNA-seq Complementary Technologies

ATAC-seq

ATAC-seq measures genome-wide chromatin accessibility. ATAC-seq is complementary because it can be used in conjunction with scRNA-seq to understand gene regulation.

mentioned alongside single-cell RNA-seq in 10% (232) of relevant job posts

ChIP-seq

ChIP-seq identifies DNA binding sites of proteins. ChIP-seq is complementary since it can be used to study gene regulation and combined with scRNA-seq data to understand cellular function.

mentioned alongside single-cell RNA-seq in 8% (190) of relevant job posts

RNA-seq

RNA-seq can be used on bulk samples and can offer complementary information when compared to scRNA-seq experiments. For example, bulk RNA-seq can be used to validate scRNA-seq findings.

mentioned alongside single-cell RNA-seq in 5% (267) of relevant job posts