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Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma

Author(s)
Del Priore, Isabella; Ma, Sai; Strecker, Jonathan; Jacks, Tyler; LaFave, Lindsay M; Buenrostro, Jason D; ... Show more Show less
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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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).
Date issued
2021
URI
https://hdl.handle.net/1721.1/146819
Department
Massachusetts Institute of Technology. Department of Biology
Journal
STAR Protocols
Publisher
Elsevier BV
Citation
Del Priore, Isabella, Ma, Sai, Strecker, Jonathan, Jacks, Tyler, LaFave, Lindsay M et al. 2021. "Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma." STAR Protocols, 2 (2).
Version: Final published version

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