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DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments
Published on: January 27, 2016
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Simultaneous quantification of protein-DNA interactions and transcriptomes in single cells with scDam&T-seq.
Corina M Markodimitraki1, Franka J Rang1, Koos Rooijers1
1Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, the Netherlands.
Nature Protocols
|May 1, 2020
Summary
We developed scDam&T-seq, a novel single-cell multi-omics method. It simultaneously measures protein-DNA interactions and transcriptome, advancing our understanding of gene regulation.
Area of Science:
- Molecular Biology
- Genomics
- Epigenetics
Background:
- Protein-DNA interactions are crucial for cell-specific chromatin structure and gene expression.
- Existing methods lack the ability to simultaneously assess protein-DNA contacts and transcriptional profiles at a single-cell level.
Purpose of the Study:
- To introduce scDam&T-seq, a novel multi-omics technique for simultaneous single-cell quantification of protein-DNA interactions and transcriptome.
- To enable the study of transcriptional changes induced by specific protein-DNA binding events.
Main Methods:
- scDam&T-seq integrates DNA adenine methyltransferase identification (DamID) for protein-DNA interaction mapping with CEL-Seq2 for transcriptome profiling.
- The protocol involves expressing a fusion protein of a protein of interest (POI) with Dam methyltransferase, followed by selective DNA amplification and mRNA sequencing.
Main Results:
- scDam&T-seq is the first method to provide concurrent protein-DNA contact and transcription data from individual cells.
- The protocol is feasible within 5 days with a throughput of hundreds to thousands of cells.
Conclusions:
- scDam&T-seq offers a powerful tool for dissecting the regulatory roles of protein-DNA interactions in gene expression at single-cell resolution.
- The method is adaptable to standard molecular biology laboratories equipped with FACS, robotics, and high-throughput sequencing capabilities.

