Genome-wide protein–DNA interaction site mapping in bacteria using a double-stranded DNA-specific cytosine deaminase

被引:0
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作者
Larry A. Gallagher
Elena Velazquez
S. Brook Peterson
James C. Charity
Matthew C. Radey
Michael J. Gebhardt
FoSheng Hsu
Lauren M. Shull
Kevin J. Cutler
Keven Macareno
Marcos H. de Moraes
Kelsi M. Penewit
Jennifer Kim
Pia A. Andrade
Thomas LaFramboise
Stephen J. Salipante
Michelle L. Reniere
Victor de Lorenzo
Paul A. Wiggins
Simon L. Dove
Joseph D. Mougous
机构
[1] University of Washington,Department of Microbiology
[2] National Center of Biotechnology CSIC,Systems Biology Department
[3] Division of Infectious Diseases,Department of Physics
[4] Boston Children’s Hospital,Department of Laboratory Medicine and Pathology
[5] Harvard Medical School,Department of Genetics and Genome Sciences
[6] University of Washington,Department of Bioengineering
[7] University of Washington,Department of Biochemistry
[8] Case Western Reserve University,Howard Hughes Medical Institute
[9] University of Washington,undefined
[10] University of Washington School of Medicine,undefined
[11] University of Washington,undefined
来源
Nature Microbiology | 2022年 / 7卷
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摘要
DNA–protein interactions are central to fundamental cellular processes, yet widely implemented technologies for measuring these interactions on a genome scale in bacteria are laborious and capture only a snapshot of binding events. We devised a facile method for mapping DNA–protein interaction sites in vivo using the double-stranded DNA-specific cytosine deaminase toxin DddA. In 3D-seq (DddA-sequencing), strains containing DddA fused to a DNA-binding protein of interest accumulate characteristic mutations in DNA sequence adjacent to sites occupied by the DNA-bound fusion protein. High-depth sequencing enables detection of sites of increased mutation frequency in these strains, yielding genome-wide maps of DNA–protein interaction sites. We validated 3D-seq for four transcription regulators in two bacterial species, Pseudomonas aeruginosa and Escherichia coli. We show that 3D-seq offers ease of implementation, the ability to record binding event signatures over time and the capacity for single-cell resolution.
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页码:844 / 855
页数:11
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