Cellular Heterogeneity: Do Differences Make a Difference?
Steven J. Altschuler,Lani F. Wu +1 more
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TLDR
Examples of when heterogeneity cannot be ignored are discussed and practical strategies for analyzing and interpreting cellular heterogeneity are described.About:
This article is published in Cell.The article was published on 2010-05-14 and is currently open access. It has received 994 citations till now. The article focuses on the topics: Population.read more
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“Bioinformatics” 특집을 내면서
TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
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Intra-tumour heterogeneity: a looking glass for cancer?
TL;DR: This Review discusses both genetic and non-genetic causes of phenotypic heterogeneity of tumour cells, with an emphasis on heritable phenotypes that serve as a substrate for clonal selection and the implications of intra-tumour heterogeneity in diagnostics and the development of therapeutic resistance.
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The cancer cell
TL;DR: Investigations compel the view that the ratio of the vital capacity to the body length, trunk length, chest circumference, surface area or weight or any combination of these measurements, is too variable to admit of any workable standard or normal value.
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A functional perspective on phenotypic heterogeneity in microorganisms
TL;DR: How phenotypic heterogeneity allows genotypes to persist in fluctuating environments is discussed and how it promotes interactions between Phenotypic subpopulations in clonal groups, providing microbial groups with new functionality is described.
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Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment
Guoyou Huang,Fei Li,Xin Zhao,Yufei Ma,Yuhui Li,Min Lin,Guorui Jin,Tian Jian Lu,Guy M. Genin,Feng Xu +9 more
TL;DR: This review encapsulates where recent advances appear to leave the ever-shifting state of the art in the cell microenvironment, and it highlights areas in which substantial potential and uncertainty remain.
References
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Stochastic Gene Expression in a Single Cell
TL;DR: This work constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated and reveals how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.
“Bioinformatics” 특집을 내면서
TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
Journal ArticleDOI
Bacterial Persistence as a Phenotypic Switch
Nathalie Q. Balaban,Nathalie Q. Balaban,Jack Merrin,Remy Chait,Lukasz Kowalik,Stanislas Leibler +5 more
TL;DR: Investigating the persistence of single cells of Escherichia coli with the use of microfluidic devices found phenotypic switching occurred between normally growing cells and persister cells having reduced growth rates, leading to a simple mathematical description of the persistence switch.
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Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
TL;DR: Stochastic gene expression has important consequences for cellular function, being beneficial in some contexts and harmful in others, including the stress response, metabolism, development, the cell cycle, circadian rhythms, and aging.
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A chromatin-mediated reversible drug-tolerant state in cancer cell subpopulations
Sreenath V. Sharma,Diana Y. Lee,Bihua Li,Margaret P. Quinlan,Fumiyuki Takahashi,Shyamala Maheswaran,Ultan McDermott,Nancy Azizian,Lee Zou,Michael A. Fischbach,Kwok-Kin Wong,Kathleyn A. Brandstetter,Ben S. Wittner,Sridhar Ramaswamy,Marie Classon,Jeff Settleman +15 more
TL;DR: It is suggested that cancer cell populations employ a dynamic survival strategy in which individual cells transiently assume a reversibly drug-tolerant state to protect the population from eradication by potentially lethal exposures.