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Protocol for single-nucleus ATAC sequencing and bioinformatic analysis in frozen human brain tissue.
Shi, Zechuan; Das, Sudeshna; Morabito, Samuel; Miyoshi, Emily; Swarup, Vivek.
Afiliación
  • Shi Z; Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA; Institute for Memory Impairments and Neurological Disorders (MIND), Irvine, CA, USA.
  • Das S; Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA; Institute for Memory Impairments and Neurological Disorders (MIND), Irvine, CA, USA.
  • Morabito S; Mathematical, Computational and Systems Biology Program, UC Irvine, Irvine, CA, USA; Institute for Memory Impairments and Neurological Disorders (MIND), Irvine, CA, USA.
  • Miyoshi E; Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA; Institute for Memory Impairments and Neurological Disorders (MIND), Irvine, CA, USA.
  • Swarup V; Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA; Mathematical, Computational and Systems Biology Program, UC Irvine, Irvine, CA, USA; Institute for Memory Impairments and Neurological Disorders (MIND), Irvine, CA, USA. Electronic address: vswarup@uci.edu.
STAR Protoc ; 3(3): 101491, 2022 09 16.
Article en En | MEDLINE | ID: mdl-35755130
ABSTRACT
Single-nucleus ATAC sequencing (snATAC-seq) employs a hyperactive Tn5 transposase to gain precise information about the cis-regulatory elements in specific cell types. However, the standard protocol of snATAC-seq is not optimized for all tissues, including the brain. Here, we present a modified protocol for single-nuclei isolation from postmortem frozen human brain tissue, followed by snATAC-seq library preparation and sequencing. We also describe an integrated bioinformatics analysis pipeline using an R package (ArchRtoSignac) to robustly analyze snATAC-seq data. For complete details on the use and execution of this protocol, please refer to Morabito et al. (2021).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: STAR Protoc Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: STAR Protoc Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos