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

Isabella Del Priore, Sai Ma, Jonathan Strecker, Tyler Jacks, Lindsay M. LaFave, Jason D. Buenrostro

Research output: Contribution to journalArticlepeer-review

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).

Original languageEnglish (US)
Article number100583
JournalSTAR Protocols
Volume2
Issue number2
DOIs
StatePublished - Jun 18 2021
Externally publishedYes

Keywords

  • Cancer
  • Genomics
  • Molecular Biology
  • Sequencing
  • Single Cell

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Neuroscience(all)
  • Immunology and Microbiology(all)

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