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Cited by 215

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Non-genetic cell-to-cell variability and the consequences for pharmacology

Open access
Niepel, Mario, Spencer, Sabrina L, Sorger, Peter K·2009·Current Opinion in Chemical Biology

Abstract

Summary Recent advances in single-cell assays have focused attention on the fact that even members of a genetically identical group of cells or organisms in identical environments can exhibit variability in drug sensitivity, cellular response, and phenotype. Underlying much of this variability is stochasticity in gene expression, which can produce unique proteomes even in genetically identical cells. Here we discuss the consequences of non-genetic cell-to-cell variability in the cellular response to drugs and its potential impact for treatment of human disease.

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Crossref · 10.1016/j.cbpa.2009.09.015

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Metadata

Authors
Niepel, M., Spencer, S. L., & Sorger, P. K.
Venue
Current Opinion in Chemical Biology
Publisher
Elsevier BV
Published
2009-12
Volume
13
Issue
5-6
Pages
556-561
ISSN
1367-5931 (ISSN-L)
OpenAlex
W2146447332
Cited by
215
References
8
FWCI
0.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Non-genetic cell-to-cell variability and the consequences for pharmacology. https://app.cochat.ai/papers/10.1016/j.cbpa.2009.09.015
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Niepel, M., Spencer, S. L., & Sorger, P. K. (2009). Non-genetic cell-to-cell variability and the consequences for pharmacology. Current Opinion in Chemical Biology. https://doi.org/10.1016/j.cbpa.2009.09.015

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.