Title |
Repression of Stress-Induced LINE-1 Expression Protects Cancer Cell Subpopulations from Lethal Drug Exposure
|
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Published in |
Cancer Cell, August 2017
|
DOI | 10.1016/j.ccell.2017.07.002 |
Pubmed ID | |
Authors |
Gulfem Dilek Guler, Charles Albert Tindell, Robert Pitti, Catherine Wilson, Katrina Nichols, Tommy KaiWai Cheung, Hyo-Jin Kim, Matthew Wongchenko, Yibing Yan, Benjamin Haley, Trinna Cuellar, Joshua Webster, Navneet Alag, Ganapati Hegde, Erica Jackson, Tracy Leah Nance, Paul Garrett Giresi, Kuan-Bei Chen, Jinfeng Liu, Suchit Jhunjhunwala, Jeff Settleman, Jean-Philippe Stephan, David Arnott, Marie Classon |
Abstract |
Maintenance of phenotypic heterogeneity within cell populations is an evolutionarily conserved mechanism that underlies population survival upon stressful exposures. We show that the genomes of a cancer cell subpopulation that survives treatment with otherwise lethal drugs, the drug-tolerant persisters (DTPs), exhibit a repressed chromatin state characterized by increased methylation of histone H3 lysines 9 and 27 (H3K9 and H3K27). We also show that survival of DTPs is, in part, maintained by regulators of H3K9me3-mediated heterochromatin formation and that the observed increase in H3K9me3 in DTPs is most prominent over long interspersed repeat element 1 (LINE-1). Disruption of the repressive chromatin over LINE-1 elements in DTPs results in DTP ablation, which is partially rescued by reducing LINE-1 expression or function. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 32% |
United Kingdom | 2 | 6% |
Venezuela, Bolivarian Republic of | 1 | 3% |
India | 1 | 3% |
France | 1 | 3% |
Germany | 1 | 3% |
Bangladesh | 1 | 3% |
Canada | 1 | 3% |
Netherlands | 1 | 3% |
Other | 3 | 9% |
Unknown | 11 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 50% |
Scientists | 15 | 44% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 273 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 68 | 25% |
Researcher | 53 | 19% |
Student > Master | 28 | 10% |
Student > Bachelor | 18 | 7% |
Student > Doctoral Student | 15 | 5% |
Other | 39 | 14% |
Unknown | 52 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 110 | 40% |
Agricultural and Biological Sciences | 53 | 19% |
Medicine and Dentistry | 21 | 8% |
Engineering | 6 | 2% |
Immunology and Microbiology | 5 | 2% |
Other | 22 | 8% |
Unknown | 56 | 21% |