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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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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 |
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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 |
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