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Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma.
Del Priore, Isabella; Ma, Sai; Strecker, Jonathan; Jacks, Tyler; LaFave, Lindsay M; Buenrostro, Jason D.
Afiliação
  • Del Priore I; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Ma S; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Strecker J; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  • Jacks T; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • LaFave LM; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
  • Buenrostro JD; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
STAR Protoc ; 2(2): 100583, 2021 06 18.
Article em En | MEDLINE | ID: mdl-34142101
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).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article