Calculating the spatial density of regulatory chromatin interactions using multi-modal datasets from the same cell line

Summary: Here, we present a protocol for calculating the spatial density of regulatory chromatin interactions (SD-RCI) using Hi-C, ATAC-seq, and ChIP-seq datasets from the same cell line. We describe steps for selecting and preprocessing datasets, training and predicting a model to obtain regulatory...

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Bibliographic Details
Main Authors: Haiyan Gong, Minghong Li, Mengdie Ji, Xiaotong Zhang, Zan Yuan, Sichen Zhang, Yi Yang, Chun Li, Yang Chen
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:STAR Protocols
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666166723001466
Description
Summary:Summary: Here, we present a protocol for calculating the spatial density of regulatory chromatin interactions (SD-RCI) using Hi-C, ATAC-seq, and ChIP-seq datasets from the same cell line. We describe steps for selecting and preprocessing datasets, training and predicting a model to obtain regulatory chromatin interactions, and evaluating model performance. We then detail calculation of SD-RCI and visualization of the correlation between SD-RCI and gene expression. This protocol is applicable to Hi-C, ATAC-seq, and ChIP-seq data from the human cell line.For complete details on the use and execution of this protocol, please refer to Gong et al. (2023).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
ISSN:2666-1667