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Transcriptome Analysis of Single Cells
Published on: April 25, 2011
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Simultaneous quantification of protein-DNA contacts and transcriptomes in single cells
Koos Rooijers1, Corina M Markodimitraki1, Franka J Rang1
1Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
Nature Biotechnology
|June 19, 2019
Summary
We developed a new method, single-cell DNA adenine methyltransferase identification with messenger RNA sequencing (scDam&T-seq), to simultaneously measure protein-DNA contacts and gene expression in individual cells, revealing gene regulation insights.
Area of Science:
- Molecular Biology
- Genomics
- Epigenetics
Background:
- Protein-DNA interactions are crucial for gene expression regulation.
- Understanding cell-to-cell variability in these interactions and its impact on gene expression is challenging.
Purpose of the Study:
- To develop a novel method for simultaneously quantifying protein-DNA contacts and gene expression at the single-cell level.
- To investigate the relationship between genome organization, chromatin accessibility, and gene expression variability.
Main Methods:
- Developed and applied single-cell DNA adenine methyltransferase identification with messenger RNA sequencing (scDam&T-seq).
- Simultaneously quantified protein-DNA contacts and transcriptome in individual cells.
- Analyzed genome-wide interactions of polycomb-group protein RING1B.
Main Results:
- scDam&T-seq successfully distinguished mouse embryonic stem cells under different culture conditions based on their chromatin landscapes.
- Revealed correlations between genome-lamina contacts, chromatin accessibility, and gene expression in individual cells.
- Provided single-cell genome-wide interaction data for RING1B and its associated transcriptome.
Conclusions:
- scDam&T-seq is a sensitive method for analyzing cell-to-cell heterogeneity in protein-DNA interactions and gene expression.
- The method enables the study of protein-mediated gene regulation in complex biological systems.
- Facilitates analysis of mechanisms driving cell-type-specific transcriptional programs.
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