Simultaneous quantification of protein-DNA contacts and transcriptomes in single cells.
Koos RooijersCorina M MarkodimitrakiFranka J RangSandra S de VriesAlex ChialastriKim L de LucaDylan MooijmanSiddharth S DeyJop KindPublished in: Nature biotechnology (2019)
Protein-DNA interactions are critical to the regulation of gene expression, but it remains challenging to define how cell-to-cell heterogeneity in protein-DNA binding influences gene expression variability. Here we report a method for the simultaneous quantification of protein-DNA contacts by combining single-cell DNA adenine methyltransferase identification (DamID) with messenger RNA sequencing of the same cell (scDam&T-seq). We apply scDam&T-seq to reveal how genome-lamina contacts or chromatin accessibility correlate with gene expression in individual cells. Furthermore, we provide single-cell genome-wide interaction data on a polycomb-group protein, RING1B, and the associated transcriptome. Our results show that scDam&T-seq is sensitive enough to distinguish mouse embryonic stem cells cultured under different conditions and their different chromatin landscapes. Our method will enable the analysis of protein-mediated mechanisms that regulate cell-type-specific transcriptional programs in heterogeneous tissues.
Keyphrases
- single cell
- gene expression
- rna seq
- genome wide
- dna methylation
- high throughput
- protein protein
- cell free
- transcription factor
- dna binding
- circulating tumor
- amino acid
- induced apoptosis
- dna damage
- single molecule
- binding protein
- oxidative stress
- public health
- embryonic stem cells
- stem cells
- endoplasmic reticulum stress
- cell therapy
- nucleic acid
- endothelial cells
- copy number
- cell death
- artificial intelligence
- data analysis
- heat shock