Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma
Name
1-s2.0-S2666166721002902-main.pdf
Description
Published version
Size
4.35 MB
Format
Adobe PDF
Checksum (MD5)
3bbfe2d7854fc9f64e240f77a86da60f
Author(s)
Del Priore, Isabella
Ma, Sai
Strecker, Jonathan
Jacks, Tyler
LaFave, Lindsay M
Buenrostro, Jason D
Date Issued
2021
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
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).
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.XPRO.2021.100583
