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This book covers various state-of-the-art techniques regarding the associations between transcription factors (TFs) and genes, with a focus on providing methodological and practical references for researchers. The contents cover diverse protocols and summaries of TFs including screening of TF-DNA interactions, detection of open chromatin regions, identification of epigenetic regulations, engineering TFs with genome editing tools, detection of transcriptional activities, computational analysis of TF networks, functions and druggabilities of TFs in biomedical research, and much more. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detailed implementation advice from the experts to ensure successful research results.
Authoritative and cutting-edge, Transcription Factor Regulatory Networks aims to benefit readers who are interested in using state-of-the-art techniques to study TFs and their myriad effects in cellular life.
List of contents
The TARGET System: Rapid Identification of Direct Targets of Transcription Factors by Gene Regulation in Plant Cells.- The Method of Screening and Identification of Transcription Factor in Klebiella.- Genome-Wide Identification of Open Chromatin in Plants Using MH-Seq.- Post-Bisulfite Adaptor Tagging with a Highly Efficient Single-Stranded DNA Ligation Technique.- Perturbation of Gene Regulation by Genome Editing.- Analysis of Neutrophil Morphology and Function under Genetic Perturbation of Transcription Factors In Vitro.- Detection of TP53 Mutation in Acute Myeloid Leukemia by RT-PCR-Based Sanger Sequencing.- Assessing the Activity of Transcription Factor FoxO1.- Targeting Transcription Factors in Cancer: From "Undruggable" to "Druggable".- A Survey of Transcription Factors in Cell Fate Control.- Single Cell mRNA-Seq of In Vitro-Derived Human Neurons Using Smart-Seq2.- Computational Analysis of Single Cell RNA-Seq Data.- Database for Plant Transcription Factor Binding Sites.- MicroRNA Regulatory Network Analysis Using miRNet 2.0.- Modeling Plant Transcription Factor Networks Using ConSReg.- Identification of Plant Co-Regulatory Modules Using CoReg.
