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Droplet-based single-cell joint profiling of histone modifications and transcriptomes.
Xie, Yang; Zhu, Chenxu; Wang, Zhaoning; Tastemel, Melodi; Chang, Lei; Li, Yang Eric; Ren, Bing.
Afiliação
  • Xie Y; Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
  • Zhu C; Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA, USA.
  • Wang Z; Ludwig Institute for Cancer Research, La Jolla, CA, USA.
  • Tastemel M; New York Genome Center, New York, NY, USA.
  • Chang L; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
  • Li YE; Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
  • Ren B; Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
Nat Struct Mol Biol ; 30(10): 1428-1433, 2023 10.
Article em En | MEDLINE | ID: mdl-37563440
ABSTRACT
We previously reported Paired-Tag, a combinatorial indexing-based method that can simultaneously map histone modifications and gene expression at single-cell resolution at scale. However, the lengthy procedure of Paired-Tag has hindered its general adoption in the community. To address this bottleneck, we developed a droplet-based Paired-Tag protocol that is faster and more accessible than the previous method. Using cultured mammalian cells and primary brain tissues, we demonstrate its superior performance at identifying candidate cis-regulatory elements and associating their dynamic chromatin state to target gene expression in each constituent cell type in a complex tissue.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Código das Histonas / Transcriptoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Código das Histonas / Transcriptoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article