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Literature DB >> 20354516

Not all noise is waste.

Abstract

Stochastic profiling, a method to rank heterogeneity of gene expression in a cell population, shows that quantifying cell-to-cell variability has come of age and leads to biological insight.

Mesh：

Year: 2010 PMID： 20354516 DOI： 10.1038/nmeth0410-269

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

5 in total

Review 1. The potential of high-content high-throughput microscopy in drug discovery.

Authors: V Starkuviene; R Pepperkok
Journal: Br J Pharmacol Date: 2007-07-02 Impact factor: 8.739

2. Identifying single-cell molecular programs by stochastic profiling.

Authors: Kevin A Janes; Chun-Chao Wang; Karin J Holmberg; Kristin Cabral; Joan S Brugge
Journal: Nat Methods Date: 2010-03-14 Impact factor: 28.547

3. Trait variability of cancer cells quantified by high-content automated microscopy of single cells.

Authors: Vito Quaranta; Darren R Tyson; Shawn P Garbett; Brandy Weidow; Mark P Harris; Walter Georgescu
Journal: Methods Enzymol Date: 2009 Impact factor: 1.600

Review 4. Non-genetic heterogeneity--a mutation-independent driving force for the somatic evolution of tumours.

Authors: Amy Brock; Hannah Chang; Sui Huang
Journal: Nat Rev Genet Date: 2009-05 Impact factor: 53.242

5. Mathematics is biology's next microscope, only better; biology is mathematics' next physics, only better.

Authors: Joel E Cohen
Journal: PLoS Biol Date: 2004-12 Impact factor: 8.029

5 in total

4 in total

Not all noise is waste.

Review 1. The potential of high-content high-throughput microscopy in drug discovery.

2. Identifying single-cell molecular programs by stochastic profiling.

3. Trait variability of cancer cells quantified by high-content automated microscopy of single cells.

Review 4. Non-genetic heterogeneity--a mutation-independent driving force for the somatic evolution of tumours.

5. Mathematics is biology's next microscope, only better; biology is mathematics' next physics, only better.

Review 1. A network-oriented perspective on cardiac calcium signaling.

2. Embracing noise to improve cross-batch prediction accuracy.

3. Dynamic rendering of the heterogeneous cell response to anticancer treatments.

4. Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling.