Literature DB >> 26687346

Cell-to-Cell Transcript Variability: Seeing Signal in the Noise.

Kevin A Janes1.   

Abstract

How stochastic is gene expression in mammalian cells? Not very, according to Battich et al., who report that single-cell variability in cytoplasmic mRNAs is remarkably predictable given measurements of a cell's phenotypic state and microenvironment. The noise from transcriptional bursts is buffered by a hallmark of eukaryotes-the nucleus.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26687346      PMCID: PMC4926623          DOI: 10.1016/j.cell.2015.12.010

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  9 in total

1.  Noise in protein expression scales with natural protein abundance.

Authors:  Arren Bar-Even; Johan Paulsson; Narendra Maheshri; Miri Carmi; Erin O'Shea; Yitzhak Pilpel; Naama Barkai
Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

Review 2.  Models of signalling networks - what cell biologists can gain from them and give to them.

Authors:  Kevin A Janes; Douglas A Lauffenburger
Journal:  J Cell Sci       Date:  2013-05-01       Impact factor: 5.285

3.  Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.

Authors:  Florian Buettner; Kedar N Natarajan; F Paolo Casale; Valentina Proserpio; Antonio Scialdone; Fabian J Theis; Sarah A Teichmann; John C Marioni; Oliver Stegle
Journal:  Nat Biotechnol       Date:  2015-01-19       Impact factor: 54.908

4.  Control of Transcript Variability in Single Mammalian Cells.

Authors:  Nico Battich; Thomas Stoeger; Lucas Pelkmans
Journal:  Cell       Date:  2015-12-17       Impact factor: 41.582

Review 5.  Normal morphogenesis of epithelial tissues and progression of epithelial tumors.

Authors:  Chun-Chao Wang; Leen Jamal; Kevin A Janes
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011-09-02

Review 6.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

7.  Transcriptional burst frequency and burst size are equally modulated across the human genome.

Authors:  Roy D Dar; Brandon S Razooky; Abhyudai Singh; Thomas V Trimeloni; James M McCollum; Chris D Cox; Michael L Simpson; Leor S Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-11       Impact factor: 11.205

8.  A time- and matrix-dependent TGFBR3-JUND-KRT5 regulatory circuit in single breast epithelial cells and basal-like premalignancies.

Authors:  Chun-Chao Wang; Sameer S Bajikar; Leen Jamal; Kristen A Atkins; Kevin A Janes
Journal:  Nat Cell Biol       Date:  2014-03-23       Impact factor: 28.824

9.  Nuclear Retention of mRNA in Mammalian Tissues.

Authors:  Keren Bahar Halpern; Inbal Caspi; Doron Lemze; Maayan Levy; Shanie Landen; Eran Elinav; Igor Ulitsky; Shalev Itzkovitz
Journal:  Cell Rep       Date:  2015-12-17       Impact factor: 9.423

  9 in total
  4 in total

Review 1.  Single-Cell Genomics for Virology.

Authors:  Angela Ciuffi; Sylvie Rato; Amalio Telenti
Journal:  Viruses       Date:  2016-05-04       Impact factor: 5.048

Review 2.  Perspective: Controlling Epidermal Terminal Differentiation with Transcriptional Bursting and RNA Bodies.

Authors:  Duncan Wotherspoon; Clare Rogerson; Ryan F L O'Shaughnessy
Journal:  J Dev Biol       Date:  2020-12-04

3.  Progress in mimicking brain microenvironments to understand and treat neurological disorders.

Authors:  Mai T Ngo; Brendan A C Harley
Journal:  APL Bioeng       Date:  2021-04-08

4.  Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction.

Authors:  Tao Hu; Lei Wei; Shuailin Li; Tianrun Cheng; Xuegong Zhang; Xiaowo Wang
Journal:  Genomics Proteomics Bioinformatics       Date:  2021-10-01       Impact factor: 7.691

  4 in total

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