Literature DB >> 20478246

Cellular heterogeneity: do differences make a difference?

Steven J Altschuler1, Lani F Wu.   

Abstract

A central challenge of biology is to understand how individual cells process information and respond to perturbations. Much of our knowledge is based on ensemble measurements. However, cell-to-cell differences are always present to some degree in any cell population, and the ensemble behaviors of a population may not represent the behaviors of any individual cell. Here, we discuss examples of when heterogeneity cannot be ignored and describe practical strategies for analyzing and interpreting cellular heterogeneity. Copyright (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20478246      PMCID: PMC2918286          DOI: 10.1016/j.cell.2010.04.033

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


  43 in total

1.  Regulation of noise in the expression of a single gene.

Authors:  Ertugrul M Ozbudak; Mukund Thattai; Iren Kurtser; Alan D Grossman; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2002-04-22       Impact factor: 38.330

2.  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

3.  Somatic mosaicism in neuronal precursor cells mediated by L1 retrotransposition.

Authors:  Alysson R Muotri; Vi T Chu; Maria C N Marchetto; Wei Deng; John V Moran; Fred H Gage
Journal:  Nature       Date:  2005-06-16       Impact factor: 49.962

4.  Ever-fluctuating single enzyme molecules: Michaelis-Menten equation revisited.

Authors:  Brian P English; Wei Min; Antoine M van Oijen; Kang Taek Lee; Guobin Luo; Hongye Sun; Binny J Cherayil; S C Kou; X Sunney Xie
Journal:  Nat Chem Biol       Date:  2005-12-25       Impact factor: 15.040

5.  Increased cell-to-cell variation in gene expression in ageing mouse heart.

Authors:  Rumana Bahar; Claudia H Hartmann; Karl A Rodriguez; Ashley D Denny; Rita A Busuttil; Martijn E T Dollé; R Brent Calder; Gary B Chisholm; Brad H Pollock; Christoph A Klein; Jan Vijg
Journal:  Nature       Date:  2006-06-22       Impact factor: 49.962

6.  Identification of long-range regulatory elements in the protocadherin-alpha gene cluster.

Authors:  Scott Ribich; Bosiljka Tasic; Tom Maniatis
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-15       Impact factor: 11.205

Review 7.  Tumor heterogeneity.

Authors:  G H Heppner
Journal:  Cancer Res       Date:  1984-06       Impact factor: 12.701

Review 8.  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

9.  Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.

Authors:  Hannah H Chang; Martin Hemberg; Mauricio Barahona; Donald E Ingber; Sui Huang
Journal:  Nature       Date:  2008-05-22       Impact factor: 49.962

10.  Heterogeneity in the physiological states and pharmacological responses of differentiating 3T3-L1 preadipocytes.

Authors:  Lit-Hsin Loo; Hai-Jui Lin; Dinesh K Singh; Kathleen M Lyons; Steven J Altschuler; Lani F Wu
Journal:  J Cell Biol       Date:  2009-10-26       Impact factor: 10.539

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  345 in total

1.  Genetic control of gene expression in whole blood and lymphoblastoid cell lines is largely independent.

Authors:  Joseph E Powell; Anjali K Henders; Allan F McRae; Margaret J Wright; Nicholas G Martin; Emmanouil T Dermitzakis; Grant W Montgomery; Peter M Visscher
Journal:  Genome Res       Date:  2011-12-19       Impact factor: 9.043

2.  Cells see the light to bring signaling under control.

Authors:  Jason M Haugh
Journal:  Nat Methods       Date:  2011-09-29       Impact factor: 28.547

3.  Tracking transience: a method for dynamic monitoring of biological events in Arabidopsis thaliana biosensors.

Authors:  George Hines; Cyrus Modavi; Keni Jiang; Andrew Packard; Kameshwar Poolla; Lewis Feldman
Journal:  Planta       Date:  2015-08-30       Impact factor: 4.116

4.  A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens.

Authors:  Albert Gough; Tong Ying Shun; D Lansing Taylor; Mark Schurdak
Journal:  Methods       Date:  2015-11-04       Impact factor: 3.608

Review 5.  Cell-state dynamics and therapeutic resistance in melanoma from the perspective of MITF and IFNγ pathways.

Authors:  Xue Bai; David E Fisher; Keith T Flaherty
Journal:  Nat Rev Clin Oncol       Date:  2019-09       Impact factor: 66.675

6.  Biohybrid Nanosystems for Cancer Treatment: Merging the Best of Two Worlds.

Authors:  Flavia Fontana; Raquél Bartolo; Hélder A Santos
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 7.  New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells.

Authors:  Sneha P Couvillion; Ying Zhu; Gabe Nagy; Joshua N Adkins; Charles Ansong; Ryan S Renslow; Paul D Piehowski; Yehia M Ibrahim; Ryan T Kelly; Thomas O Metz
Journal:  Analyst       Date:  2019-01-28       Impact factor: 4.616

Review 8.  Quantitative imaging of lipid droplets in single cells.

Authors:  Anushka Gupta; Gabriel F Dorlhiac; Aaron M Streets
Journal:  Analyst       Date:  2019-01-28       Impact factor: 4.616

9.  Deciphering Metabolic Heterogeneity by Single-Cell Analysis.

Authors:  Tom M J Evers; Mazène Hochane; Sander J Tans; Ron M A Heeren; Stefan Semrau; Peter Nemes; Alireza Mashaghi
Journal:  Anal Chem       Date:  2019-10-08       Impact factor: 6.986

10.  Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes.

Authors:  Mark-Anthony Bray; Shantanu Singh; Han Han; Chadwick T Davis; Blake Borgeson; Cathy Hartland; Maria Kost-Alimova; Sigrun M Gustafsdottir; Christopher C Gibson; Anne E Carpenter
Journal:  Nat Protoc       Date:  2016-08-25       Impact factor: 13.491

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