Cell Stem Cell
Volume 25, Issue 5, 7 November 2019, Pages 713-727.e10
Journal home page for Cell Stem Cell

Resource
Identification and Massively Parallel Characterization of Regulatory Elements Driving Neural Induction

https://doi.org/10.1016/j.stem.2019.09.010Get rights and content
Under an Elsevier user license
open archive

Highlights

  • RNA-seq, ChIP-seq, and ATAC-seq reveal regulatory dynamics during neural induction

  • lentiMPRA functionally characterized >1,500 temporal enhancers

  • Combined genomic analyses ranked and identified key neural induction factors

  • Overexpression or CRISPRi of 5 different factors affected neural differentiation

Summary

Epigenomic regulation and lineage-specific gene expression act in concert to drive cellular differentiation, but the temporal interplay between these processes is largely unknown. Using neural induction from human pluripotent stem cells (hPSCs) as a paradigm, we interrogated these dynamics by performing RNA sequencing (RNA-seq), chromatin immunoprecipitation sequencing (ChIP-seq), and assay for transposase accessible chromatin using sequencing (ATAC-seq) at seven time points during early neural differentiation. We found that changes in DNA accessibility precede H3K27ac, which is followed by gene expression changes. Using massively parallel reporter assays (MPRAs) to test the activity of 2,464 candidate regulatory sequences at all seven time points, we show that many of these sequences have temporal activity patterns that correlate with their respective cell-endogenous gene expression and chromatin changes. A prioritization method incorporating all genomic and MPRA data further identified key transcription factors involved in driving neural fate. These results provide a comprehensive resource of genes and regulatory elements that orchestrate neural induction and illuminate temporal frameworks during differentiation.

Keywords

enhancer
transcriptional regulation
stem cell differentiation
neural induction
RNA-seq
ChIP-seq
ATAC-seq
massively parallel reporter assay
functional genomics
genetic variation

Cited by (0)

5

These authors contributed equally

6

Lead Contact