Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) is an invaluable tool for mapping chromatin-associated proteins. Current barcoding strategies aim to improve assay throughput and scalability but intense sample handling and lack of standardization over cell types, cell numbers and epitopes hinder wide-spread use in the field. Here, we present a barcoding method to enable high-throughput ChIP-seq using common molecular biology techniques. The method, called RELACS (restriction enzyme-based labeling of chromatin in situ) relies on standardized nuclei extraction from any source and employs chromatin cutting and barcoding within intact nuclei. Barcoded nuclei are pooled and processed within the same ChIP reaction, for maximal comparability and workload reduction. The innovative barcoding concept is particularly user-friendly and suitable for implementation to standardized large-scale clinical studies and scarce samples. Aiming to maximize universality and scalability, RELACS can generate ChIP-seq libraries for transcription factors and histone modifications from hundreds of samples within three days.
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http://dx.doi.org/10.1038/s42003-018-0219-z | DOI Listing |
Nuclear DNA is organized into a compact three-dimensional (3D) structure that impacts critical cellular processes. High-throughput chromosome conformation capture (Hi-C) is the most widely used method for measuring 3D genome architecture, while linear epigenomic assays, such as ATAC-seq, DNase-seq, and ChIP-seq, are extensively employed to characterize epigenomic regulation. However, the integrative analysis of chromatin interactions and associated epigenomic regulation remains challenging due to the pairwise nature of Hi-C data, mismatched resolution between Hi-C and epigenomic assays, and inconsistencies among analysis tools.
View Article and Find Full Text PDFJ Vis Exp
December 2024
Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center; Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center;
The CUT&RUN technique facilitates detection of protein-DNA interactions across the genome. Typical applications of CUT&RUN include profiling changes in histone tail modifications or mapping transcription factor chromatin occupancy. Widespread adoption of CUT&RUN is driven, in part, by technical advantages over conventional ChIP-seq that include lower cell input requirements, lower sequencing depth requirements, and increased sensitivity with reduced background signal due to a lack of cross-linking agents that otherwise mask antibody epitopes.
View Article and Find Full Text PDFNat Commun
January 2025
Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Single cell ATAC-seq (scATAC-seq) experimental designs have become increasingly complex, with multiple factors that might affect chromatin accessibility, including genotype, cell type, tissue of origin, sample location, batch, etc., whose compound effects are difficult to test by existing methods. In addition, current scATAC-seq data present statistical difficulties due to their sparsity and variations in individual sequence capture.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Genes & Human Disease Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA.
ChIP-Seq is used to study DNA-protein interactions, unraveling chromatin states and gene regulatory properties of transcription factors. ChIP-Seq involves immunoprecipitation followed by sequencing using Next-Generation sequencing approaches. The ENCODE consortium provides extensive guidelines for ChIP-Seq analysis.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, USA.
Hox genes play a pivotal role during development. Their expression is tightly controlled in a spatiotemporal manner, ensuring that specific body structures develop at the correct locations and times during development. Various genomics approaches have been used to capture temporal and dynamic regulation of Hox gene expression at the nucleosome/chromatin level.
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