Literature DB >> 22005655

We are all individuals: causes and consequences of non-genetic heterogeneity in mammalian cells.

Alexander Loewer1, Galit Lahav.   

Abstract

The human body is formed by trillions of individual cells. These cells work together with remarkable precision, first forming an adult organism out of a single fertilized egg, and then keeping the organism alive and functional for decades. To achieve this precision, one would assume that each individual cell reacts in a reliable, reproducible way to a given input, faithfully executing the required task. However, a growing number of studies investigating cellular processes on the level of single cells revealed large heterogeneity even among genetically identical cells of the same cell type. Here we discuss the sources of heterogeneity in mammalian systems; how cells ensure reliable processing of information despite fluctuations in their molecular components; and what could be the benefit of cell-to-cell variability for mammalian cells.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22005655      PMCID: PMC3270938          DOI: 10.1016/j.gde.2011.09.010

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  51 in total

1.  Genetically encoded fluorescent reporters of protein tyrosine kinase activities in living cells.

Authors:  A Y Ting; K H Kain; R L Klemke; R Y Tsien
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2.  Single-cell transcriptional analysis of neuronal progenitors.

Authors:  Ian Tietjen; Jason M Rihel; Yanxiang Cao; Georgy Koentges; Lisa Zakhary; Catherine Dulac
Journal:  Neuron       Date:  2003-04-24       Impact factor: 17.173

3.  Single-cell microarray analysis in hippocampus CA1: demonstration and validation of cellular heterogeneity.

Authors:  Fredrik Kamme; Ranelle Salunga; Jingxue Yu; Da-Thao Tran; Jessica Zhu; Lin Luo; Anton Bittner; Hong-Qing Guo; Nancy Miller; Jackson Wan; Mark Erlander
Journal:  J Neurosci       Date:  2003-05-01       Impact factor: 6.167

4.  Dynamics of the p53-Mdm2 feedback loop in individual cells.

Authors:  Galit Lahav; Nitzan Rosenfeld; Alex Sigal; Naama Geva-Zatorsky; Arnold J Levine; Michael B Elowitz; Uri Alon
Journal:  Nat Genet       Date:  2004-01-18       Impact factor: 38.330

5.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

6.  Visualization of single RNA transcripts in situ.

Authors:  A M Femino; F S Fay; K Fogarty; R H Singer
Journal:  Science       Date:  1998-04-24       Impact factor: 47.728

7.  Dynamic and quantitative Ca2+ measurements using improved cameleons.

Authors:  A Miyawaki; O Griesbeck; R Heim; R Y Tsien
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-02       Impact factor: 11.205

Review 8.  Cellular decision making and biological noise: from microbes to mammals.

Authors:  Gábor Balázsi; Alexander van Oudenaarden; James J Collins
Journal:  Cell       Date:  2011-03-18       Impact factor: 41.582

9.  Generation of oscillations by the p53-Mdm2 feedback loop: a theoretical and experimental study.

Authors:  R Lev Bar-Or; R Maya; L A Segel; U Alon; A J Levine; M Oren
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

10.  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

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  34 in total

1.  Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.

Authors:  Allon M Klein; Linas Mazutis; Ilke Akartuna; Naren Tallapragada; Adrian Veres; Victor Li; Leonid Peshkin; David A Weitz; Marc W Kirschner
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

2.  Origins of variation in conducted vasomotor responses.

Authors:  Bjørn Olav Hald; Donald G Welsh; Niels-Henrik Holstein-Rathlou; Jens Christian Brings Jacobsen
Journal:  Pflugers Arch       Date:  2014-11-26       Impact factor: 3.657

Review 3.  Robustness of signal transduction pathways.

Authors:  Nils Blüthgen; Stefan Legewie
Journal:  Cell Mol Life Sci       Date:  2012-09-25       Impact factor: 9.261

Review 4.  Dynamics of the DNA damage response: insights from live-cell imaging.

Authors:  Ketki Karanam; Alexander Loewer; Galit Lahav
Journal:  Brief Funct Genomics       Date:  2013-01-04       Impact factor: 4.241

Review 5.  The metabolic response to excitotoxicity - lessons from single-cell imaging.

Authors:  Niamh M C Connolly; Jochen H M Prehn
Journal:  J Bioenerg Biomembr       Date:  2014-09-28       Impact factor: 2.945

Review 6.  Single-cell genome-wide studies give new insight into nongenetic cell-to-cell variability in animals.

Authors:  Arkadiy K Golov; Sergey V Razin; Alexey A Gavrilov
Journal:  Histochem Cell Biol       Date:  2016-07-13       Impact factor: 4.304

Review 7.  Diversity training for signal transduction: leveraging cell-to-cell variability to dissect cellular signaling, differentiation and death.

Authors:  Jesse W Cotari; Guillaume Voisinne; Grégoire Altan-Bonnet
Journal:  Curr Opin Biotechnol       Date:  2013-06-07       Impact factor: 9.740

8.  Cell-to-cell variability analysis dissects the plasticity of signaling of common γ chain cytokines in T cells.

Authors:  Jesse W Cotari; Guillaume Voisinne; Orly Even Dar; Volkan Karabacak; Grégoire Altan-Bonnet
Journal:  Sci Signal       Date:  2013-03-12       Impact factor: 8.192

9.  Building with intent: technologies and principles for engineering mammalian cell-based therapies to sense and respond.

Authors:  Joseph J Muldoon; Patrick S Donahue; Taylor B Dolberg; Joshua N Leonard
Journal:  Curr Opin Biomed Eng       Date:  2017-10-18

10.  A Transcriptional Circuit Filters Oscillating Circadian Hormonal Inputs to Regulate Fat Cell Differentiation.

Authors:  Zahra Bahrami-Nejad; Michael L Zhao; Stefan Tholen; Devon Hunerdosse; Karen E Tkach; Sabine van Schie; Mingyu Chung; Mary N Teruel
Journal:  Cell Metab       Date:  2018-04-03       Impact factor: 27.287

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