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Simultaneous quantification of protein-DNA contacts and transcriptomes in single cells.
Rooijers, Koos; Markodimitraki, Corina M; Rang, Franka J; de Vries, Sandra S; Chialastri, Alex; de Luca, Kim L; Mooijman, Dylan; Dey, Siddharth S; Kind, Jop.
Affiliation
  • Rooijers K; Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
  • Markodimitraki CM; Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
  • Rang FJ; Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
  • de Vries SS; Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
  • Chialastri A; Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, USA.
  • de Luca KL; Center for Bioengineering, University of California Santa Barbara, Santa Barbara, CA, USA.
  • Mooijman D; Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
  • Dey SS; Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
  • Kind J; Developmental Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Nat Biotechnol ; 37(7): 766-772, 2019 07.
Article in En | MEDLINE | ID: mdl-31209373
ABSTRACT
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Cell Analysis / Transcriptome Limits: Animals Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2019 Type: Article Affiliation country: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Cell Analysis / Transcriptome Limits: Animals Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2019 Type: Article Affiliation country: Netherlands