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Abstract

A fundamental question in gene regulation is how cell-type-specific gene expression is influenced by the packaging of DNA within the nucleus of each cell. We recently developed Split-Pool Recognition of Interactions by Tag Extension (SPRITE), which enables mapping of higher-order interactions within the nucleus. SPRITE works by cross-linking interacting DNA, RNA and protein molecules and then mapping DNA–DNA spatial arrangements through an iterative split-and-pool barcoding method. All DNA molecules within a cross-linked complex are barcoded by repeatedly splitting complexes across a 96-well plate, ligating molecules with a unique tag sequence, and pooling all complexes into a single well before repeating the tagging. Because all molecules in a cross-linked complex are covalently attached, they will sort together throughout each round of split-and-pool and will obtain the same series of SPRITE tags, which we refer to as a barcode. The DNA fragments and their associated barcodes are sequenced, and all reads sharing identical barcodes are matched to reconstruct interactions. SPRITE accurately maps pairwise DNA interactions within the nucleus and measures higher-order spatial contacts occurring among up to thousands of simultaneously interacting molecules. Here, we provide a detailed protocol for the experimental steps of SPRITE, including a video (https://youtu.be/6SdWkBxQGlg). Furthermore, we provide an automated computational pipeline available on GitHub that allows experimenters to seamlessly generate SPRITE interaction matrices starting with raw fastq files. The protocol takes ~5 d from cell cross-linking to high-throughput sequencing for the experimental steps and 1 d for data processing.

This protocol describes an experimental and computational approach for mapping higher-order DNA interactions that relies on tagging cross-linked fragmented chromatin through an iterative split-and-pool barcoding process.

Details

Title
SPRITE: a genome-wide method for mapping higher-order 3D interactions in the nucleus using combinatorial split-and-pool barcoding
Author
Quinodoz, Sofia A 1   VIAFID ORCID Logo  ; Bhat Prashant 2   VIAFID ORCID Logo  ; Chovanec, Peter 3   VIAFID ORCID Logo  ; Jachowicz, Joanna W 3   VIAFID ORCID Logo  ; Ollikainen Noah 3 ; Detmar, Elizabeth 3 ; Soehalim, Elizabeth 3 ; Guttman, Mitchell 3   VIAFID ORCID Logo 

 California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890); Princeton University, Department of Chemical and Biological Engineering, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006) 
 California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890); University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
 California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890) 
Pages
36-75
Publication year
2022
Publication date
Jan 2022
Publisher
Nature Publishing Group
ISSN
17542189
e-ISSN
17502799
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2619056351
Copyright
© The Author(s), under exclusive licence to Springer Nature Limited 2022.