Targeted single-cell RNA sequencing of transcription factors enhances the identification of cell types and trajectories.

ABSTRACT: Single-cell RNA sequencing (scRNA-seq) is a widely used method for identifying cell types and trajectories in biologically heterogeneous samples, but it is limited in its detection and quantification of lowly expressed genes. This results in missing important biological signals, such as the expression of key transcription factors (TFs) driving cellular differentiation. We show that targeted sequencing of ∼1000 TFs (scCapture-seq) in iPSC-derived neuronal cultures greatly improves the biological information garnered from scRNA-seq. Increased TF resolution enhanced cell type identification, developmental trajectories, and gene regulatory networks. This allowed us to resolve differences among neuronal populations, which were generated in two different laboratories using the same differentiati

SUBMITTER: Pokhilko A 

PROVIDER: S-EPMC8168586 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature