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Joint single-cell measurements of nuclear proteins and RNA in vivo.
Chung, Hattie; Parkhurst, Christopher N; Magee, Emma M; Phillips, Devan; Habibi, Ehsan; Chen, Fei; Yeung, Bertrand Z; Waldman, Julia; Artis, David; Regev, Aviv.
Afiliação
  • Chung H; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA. hchung@broadinstitute.org.
  • Parkhurst CN; Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA.
  • Magee EM; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Phillips D; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Habibi E; Genentech, South San Francisco, CA, USA.
  • Chen F; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Yeung BZ; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Waldman J; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
  • Artis D; BioLegend Inc, San Diego, CA, USA.
  • Regev A; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Nat Methods ; 18(10): 1204-1212, 2021 10.
Article em En | MEDLINE | ID: mdl-34608310
Identifying gene-regulatory targets of nuclear proteins in tissues is a challenge. Here we describe intranuclear cellular indexing of transcriptomes and epitopes (inCITE-seq), a scalable method that measures multiplexed intranuclear protein levels and the transcriptome in parallel across thousands of nuclei, enabling joint analysis of transcription factor (TF) levels and gene expression in vivo. We apply inCITE-seq to characterize cell state-related changes upon pharmacological induction of neuronal activity in the mouse brain. Modeling gene expression as a linear combination of quantitative protein levels revealed genome-wide associations of each TF and recovered known gene targets. TF-associated genes were coexpressed as distinct modules that each reflected positive or negative TF levels, showing that our approach can disentangle relative putative contributions of TFs to gene expression and add interpretability to inferred gene networks. inCITE-seq can illuminate how combinations of nuclear proteins shape gene expression in native tissue contexts, with direct applications to solid or frozen tissues and clinical specimens.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Nucleares / Biologia Computacional / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Nucleares / Biologia Computacional / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article