Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma
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Updated: Nov 1, 2025

ATAC-Seq Optimization for Cancer Epigenetics Research
Published on: June 30, 2022
Isabella Del Priore1,2, Sai Ma2,3,4, Jonathan Strecker3
1David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Abstract:
Single-cell ATAC sequencing using combinatorial indexing (sciATAC-seq) enables the identification of chromatin accessibility profiles at single-cell resolution with a dual-barcoding approach during transposition and library construction. Unlike commercial droplet-based approaches, sciATAC-seq is a cost-effective, extensible strategy that permits flexibility in the experimental scale via multiplexed barcoding across samples or perturbations. In contrast, droplet-based approaches have higher cell recovery and may be advantageous when cell input is limited. The step-by-step sciATAC-seq protocol described here is amenable to diverse cell types and fixed samples. For complete details on the use and execution of this protocol, please refer to LaFave et al. (2020).

