Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow

被引:2
|
作者
Qasim, Mohammad N. [1 ,2 ]
Arevalo, Ashley Valle [1 ,2 ]
Paropkari, Akshay D. [1 ,2 ]
Ennis, Craig L. [1 ,2 ,4 ]
Sindi, Suzanne S. [3 ]
Nobile, Clarissa J. [1 ,4 ]
Hernday, Aaron D. [1 ,4 ]
机构
[1] Univ Calif, Dept Mol & Cell Biol, Merced, CA 95343 USA
[2] Univ Calif, Quantitat & Syst Biol Grad Program, Merced, CA USA
[3] Univ Calif, Dept Appl Math, Merced, CA USA
[4] Univ Calif, Hlth Sci Res Inst, Merced, CA 95343 USA
来源
基金
美国国家卫生研究院;
关键词
BIOFILMS;
D O I
10.3791/63655
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Regulatory transcription factors control many important biological processes, including cellular differentiation, responses to environmental perturbations and stresses, and host-pathogen interactions. Determining the genome-wide binding of regulatory transcription factors to DNA is essential to understanding the function of transcription factors in these often complex biological processes. Cleavage under targets and release using nuclease (CUT&RUN) is a modern method for genome-wide mapping of in vivo protein-DNA binding interactions that is an attractive alternative to the traditional and widely used chromatin immunoprecipitation followed by sequencing (ChIP-seq) method. CUT&RUN is amenable to a higher-throughput experimental setup and has a substantially higher dynamic range with lower per-sample sequencing costs than ChIP-seq. Here, a comprehensive CUT&RUN protocol and accompanying data analysis workflow tailored for genome-wide analysis of transcription factor-DNA binding interactions in the human fungal pathogen Candida albicans are described. This detailed protocol includes all necessary experimental procedures, from epitope tagging of transcription factor-coding genes to library preparation for sequencing; additionally, it includes a customized computational workflow for CUT&RUN data analysis.
引用
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页数:29
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