The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Dynamic Proteomics of Individual Cancer Cells in Response to a Drug
Abstract
Why do seemingly identical cells respond differently to a drug? To address this, we studied the dynamics and variability of the protein response of human cancer cells to a chemotherapy drug, camptothecin. We present a dynamic-proteomics approach that measures the levels and locations of nearly 1000 different endogenously tagged proteins in individual living cells at high temporal resolution. All cells show rapid translocation of proteins specific to the drug mechanism, including the drug target (topoisomerase-1), and slower, wide-ranging temporal waves of protein degradation and accumulation. However, the cells differ in the behavior of a subset of proteins. We identify proteins whose dynamics differ widely between cells, in a way that corresponds to the outcomes—cell death or survival. This opens the way to understanding molecular responses to drugs in individual cells.
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Cites
Mass spectrometry-based proteomics
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Global analysis of protein expression in yeast
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Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise
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Multidimensional Drug Profiling By Automated Microscopy
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Cited by
A Chromatin-Mediated Reversible Drug-Tolerant State in Cancer Cell Subpopulations
Sharma, S. V., Lee, D. Y., Li, B., Quinlan, M. P., Takahashi, F., Maheswaran, S., McDermott, U., Azizian, N., Zou, L., Fischbach, M. A., et al. (2010) · Cell · doi:10.1016/j.cell.2010.02.027 · Cited by 2,770
Cellular Heterogeneity: Do Differences Make a Difference?
Altschuler, S. J., & Wu, L. F. (2010) · Cell · doi:10.1016/j.cell.2010.04.033 · Cited by 1,214
Global signatures of protein and mRNA expression levels
de Sousa Abreu, R., Penalva, L. O., Marcotte, E. M., & Vogel, C. (2009) · Molecular BioSystems · doi:10.1039/b908315d · Cited by 1,248
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Shalek, A. K., Satija, R., Adiconis, X., Gertner, R. S., Gaublomme, J. T., Raychowdhury, R., Schwartz, S., Yosef, N., Malboeuf, C., Lu, D., et al. (2013) · Nature · doi:10.1038/nature12172 · Cited by 1,190
Boulon, S., Westman, B. J., Hutten, S., Boisvert, F.-M., & Lamond, A. I. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.024 · Cited by 1,103
Metadata
- Authors
- Cohen, A. A., Geva-Zatorsky, N., Eden, E., Frenkel-Morgenstern, M., Issaeva, I., Sigal, A., Milo, R., Cohen-Saidon, C., Liron, Y., Kam, Z., Cohen, L., Danon, T., Perzov, N., & Alon, U.
- Venue
- Science
- Published
- 2008-12-05
- Volume
- 322
- Issue
- 5907
- Pages
- 1511-1516
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2129297473
- Cited by
- 596
- References
- 8
- FWCI
- 19.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cohen, A. A., Geva-Zatorsky, N., Eden, E., Frenkel-Morgenstern, M., Issaeva, I., Sigal, A., Milo, R., Cohen-Saidon, C., Liron, Y., Kam, Z., Cohen, L., Danon, T., Perzov, N., & Alon, U. (2008). Dynamic Proteomics of Individual Cancer Cells in Response to a Drug. Science. https://doi.org/10.1126/science.1160165
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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