Cargando…

scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs in single cells

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 combin...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609448/
https://www.ncbi.nlm.nih.gov/pubmed/31209373
http://dx.doi.org/10.1038/s41587-019-0150-y
_version_ 1783432320370343936
author 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
author_facet 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
author_sort Rooijers, Koos
collection PubMed
description 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 mRNA 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 analysis of protein-mediated mechanisms that regulate cell type-specific transcriptional programs in heterogeneous tissues.
format Online
Article
Text
id pubmed-6609448
institution National Center for Biotechnology Information
language English
publishDate 2019
record_format MEDLINE/PubMed
spelling pubmed-66094482019-12-17 scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs 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 Nat Biotechnol Article 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 mRNA 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 analysis of protein-mediated mechanisms that regulate cell type-specific transcriptional programs in heterogeneous tissues. 2019-06-10 2019-06-17 /pmc/articles/PMC6609448/ /pubmed/31209373 http://dx.doi.org/10.1038/s41587-019-0150-y Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
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
scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs in single cells
title scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs in single cells
title_full scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs in single cells
title_fullStr scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs in single cells
title_full_unstemmed scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs in single cells
title_short scDam&T‐seq combines DNA adenine methyltransferase-based labeling of protein-DNA contact sites with transcriptome sequencing to analyze regulatory programs in single cells
title_sort scdam&t‐seq combines dna adenine methyltransferase-based labeling of protein-dna contact sites with transcriptome sequencing to analyze regulatory programs in single cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609448/
https://www.ncbi.nlm.nih.gov/pubmed/31209373
http://dx.doi.org/10.1038/s41587-019-0150-y
work_keys_str_mv AT rooijerskoos scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT markodimitrakicorinam scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT rangfrankaj scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT devriessandras scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT chialastrialex scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT delucakiml scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT mooijmandylan scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT deysiddharths scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells
AT kindjop scdamtseqcombinesdnaadeninemethyltransferasebasedlabelingofproteindnacontactsiteswithtranscriptomesequencingtoanalyzeregulatoryprogramsinsinglecells