NEAT-seq: Simultaneous profiling of intra-nuclear proteins, chromatin accessibility, and gene expression in single cells

Amy F. Chen(Stanford University), Benjamin Parks(Stanford University), Arwa S. Kathiria(Stanford University), Benjamin Ober‐Reynolds(Stanford University), Jörg J. Goronzy(Stanford University), William J. Greenleaf(Chan Zuckerberg Initiative (United States))
bioRxiv (Cold Spring Harbor Laboratory)
July 30, 2021
Cited by 23

Abstract

Abstract Oligonucleotide-conjugated antibodies 1 have allowed for joint measurement of surface protein abundance and the transcriptome in single cells using high-throughput sequencing. Extending these measurements to gene regulatory proteins in the nucleus would provide a powerful means to link changes in abundance of trans-acting TFs to changes in activity of cis-acting elements and expression of target genes. Here, we introduce Nuclear protein Epitope, chromatin Accessibility, and Transcriptome sequencing (NEAT-seq), a technique to simultaneously measure nuclear protein abundance, chromatin accessibility, and the transcriptome in single cells. We apply this technique to profile CD4 memory T cells using a panel of master transcription factors (TFs) that drive distinct helper T cell subsets and regulatory T cells (Tregs) and identify examples of TFs with regulatory activity gated by three distinct mechanisms: transcription, translation, and regulation of chromatin binding. Furthermore, we identify regulatory elements and target genes associated with each TF, which we use to link a non-coding GWAS SNP within a GATA motif to both strong allele-specific chromatin accessibility in cells expressing high levels of GATA3 protein, and a putative target gene.


Related Papers

No related papers found

Powered by citation graph analysis