This comprehensive guide delves into the protocols and strategies for investigating gene regulation both experimentally and computationally. It focuses on the use of Chromatin Immunoprecipitation (ChIP) coupled with next-generation sequencing, providing a robust framework for profiling DNA-binding proteins, examining DNA footprinting, and analyzing histone modifications. As part of the highly successful Methods in Molecular Biology series, this book offers introductions on the topics covered, detailed lists of the necessary materials and reagents, step-by-step laboratory protocols that are…mehr
This comprehensive guide delves into the protocols and strategies for investigating gene regulation both experimentally and computationally. It focuses on the use of Chromatin Immunoprecipitation (ChIP) coupled with next-generation sequencing, providing a robust framework for profiling DNA-binding proteins, examining DNA footprinting, and analyzing histone modifications. As part of the highly successful Methods in Molecular Biology series, this book offers introductions on the topics covered, detailed lists of the necessary materials and reagents, step-by-step laboratory protocols that are easy to follow, and expert tips for troubleshooting and avoiding known pitfalls.
Authoritative and practical, Chromatin Immunoprecipitation: Methods and Protocols is the perfect resource for the new wave of genome biologists looking to master ChIP techniques.
Native ChIP: Studying the Genome-Wide Distribution of Histone Modifications in Cells and Tissue.- Glucocorticoid Receptor-Dependent Binding Analysis Using Chromatin Immunoprecipitation and Quantitative Polymerase Chain Reaction.- Chromatin ImmunoPrecipitation in Adipose Tissue and Adipocytes: How to Proceed and Optimize the Protocol for Transcription Factor DNA Binding.- Bioinformatics Core Workflow for ChIP-Seq Data Analysis.- Differential Analysis of Protein-DNA Binding Using ChIP-Seq Data.- An Optimized High-Resolution Mapping Method for Glucocorticoid Receptor-DNA Binding in Mouse Primary Macrophages.- Sequential ChIP-Seq.- Reverse Chromatin Immunoprecipitation (R-ChIP).- Estrogen Receptor Chromatin Profiling by CUT&RUN.- Cleavage Under Targets and Release Using Nuclease (CUT&RUN) in Bone Marrow-Derived Macrophages.- Cleavage Under Targets and Release Using Nuclease (CUT&RUN) of Epigenetic Regulators.- CUT&Tag for Efficient Epigenomic Profiling of Frozen Tissues.- Integrative Analysis of CUT&Tag and RNA-Seq Data Through Bioinformatics: A Unified Workflow for Enhanced Insights.- Single-Cell Histone Modification Profiling with Cell Enrichment Using sortChIC.- XL-DNase-Seq: Footprinting Analysis of Dynamic Transcription Factors.- ChEC-Seq: A Comprehensive Guide for Scalable and Cost-Efficient Genome-Wide Profiling in S. cerevisiae.
Native ChIP: Studying the Genome-Wide Distribution of Histone Modifications in Cells and Tissue.- Glucocorticoid Receptor-Dependent Binding Analysis Using Chromatin Immunoprecipitation and Quantitative Polymerase Chain Reaction.- Chromatin ImmunoPrecipitation in Adipose Tissue and Adipocytes: How to Proceed and Optimize the Protocol for Transcription Factor DNA Binding.- Bioinformatics Core Workflow for ChIP-Seq Data Analysis.- Differential Analysis of Protein-DNA Binding Using ChIP-Seq Data.- An Optimized High-Resolution Mapping Method for Glucocorticoid Receptor-DNA Binding in Mouse Primary Macrophages.- Sequential ChIP-Seq.- Reverse Chromatin Immunoprecipitation (R-ChIP).- Estrogen Receptor Chromatin Profiling by CUT&RUN.- Cleavage Under Targets and Release Using Nuclease (CUT&RUN) in Bone Marrow-Derived Macrophages.- Cleavage Under Targets and Release Using Nuclease (CUT&RUN) of Epigenetic Regulators.- CUT&Tag for Efficient Epigenomic Profiling of Frozen Tissues.- Integrative Analysis of CUT&Tag and RNA-Seq Data Through Bioinformatics: A Unified Workflow for Enhanced Insights.- Single-Cell Histone Modification Profiling with Cell Enrichment Using sortChIC.- XL-DNase-Seq: Footprinting Analysis of Dynamic Transcription Factors.- ChEC-Seq: A Comprehensive Guide for Scalable and Cost-Efficient Genome-Wide Profiling in S. cerevisiae.
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