Literature DB >> 34608310

Joint single-cell measurements of nuclear proteins and RNA in vivo.

Christopher N Parkhurst1, Emma M Magee2, Hattie Chung3, Devan Phillips2,4, Ehsan Habibi2, Fei Chen2,5, Bertrand Z Yeung6, Julia Waldman2, David Artis1,7, Aviv Regev8,9,10.   

Abstract

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.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2021        PMID: 34608310      PMCID: PMC8532076          DOI: 10.1038/s41592-021-01278-1

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  78 in total

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Journal:  Nat Metab       Date:  2020-10-12

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Authors:  J I Morgan; D R Cohen; J L Hempstead; T Curran
Journal:  Science       Date:  1987-07-10       Impact factor: 47.728

5.  Oscillations in NF-kappaB signaling control the dynamics of gene expression.

Authors:  D E Nelson; A E C Ihekwaba; M Elliott; J R Johnson; C A Gibney; B E Foreman; G Nelson; V See; C A Horton; D G Spiller; S W Edwards; H P McDowell; J F Unitt; E Sullivan; R Grimley; N Benson; D Broomhead; D B Kell; M R H White
Journal:  Science       Date:  2004-10-22       Impact factor: 47.728

6.  Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells.

Authors:  Eleni P Mimitou; Anthony Cheng; Antonino Montalbano; Stephanie Hao; Marlon Stoeckius; Mateusz Legut; Timothy Roush; Alberto Herrera; Efthymia Papalexi; Zhengqing Ouyang; Rahul Satija; Neville E Sanjana; Sergei B Koralov; Peter Smibert
Journal:  Nat Methods       Date:  2019-04-22       Impact factor: 28.547

7.  Mutant Huntingtin promotes autonomous microglia activation via myeloid lineage-determining factors.

Authors:  Andrea Crotti; Christopher Benner; Bilal E Kerman; David Gosselin; Clotilde Lagier-Tourenne; Chiara Zuccato; Elena Cattaneo; Fred H Gage; Don W Cleveland; Christopher K Glass
Journal:  Nat Neurosci       Date:  2014-03-02       Impact factor: 24.884

8.  g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update).

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Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

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10.  High expression of RelA/p65 is associated with activation of nuclear factor-kappaB-dependent signaling in pancreatic cancer and marks a patient population with poor prognosis.

Authors:  W Weichert; M Boehm; V Gekeler; M Bahra; J Langrehr; P Neuhaus; C Denkert; G Imre; C Weller; H-P Hofmann; S Niesporek; J Jacob; M Dietel; C Scheidereit; G Kristiansen
Journal:  Br J Cancer       Date:  2007-07-10       Impact factor: 7.640

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  11 in total

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Review 8.  New horizons in the stormy sea of multimodal single-cell data integration.

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9.  Learning from natural variation across the proteomes of single cells.

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Review 10.  Transcriptional Regulation of the Hippo Pathway: Current Understanding and Insights from Single-Cell Technologies.

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