The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Profound Tissue Specificity in Proliferation Control Underlies Cancer Drivers and Aneuploidy Patterns
Open accessAbstract
SUMMARY Genomics has provided a detailed structural description of the cancer genome. Identifying oncogenic drivers that work primarily through dosage changes is a current challenge. Unrestrained proliferation is a critical hallmark of cancer. We constructed modular, barcoded libraries of human open reading frames (ORFs) and performed screens for proliferation regulators in multiple cell types. Approximately 10% of genes regulate proliferation, with most performing in an unexpectedly highly tissue-specific manner. Proliferation drivers in a given cell type showed specific enrichment in somatic copy number changes (SCNAs) from cognate tumors and helped predict aneuploidy patterns in those tumors, implying that tissue-type-specific genetic network architectures underlie SCNA and driver selection in different cancers. In vivo screening confirmed these results. We report a substantial contribution to the catalog of SCNA-associated cancer drivers, identifying 147 amplified and 107 deleted genes as potential drivers, and derive insights about the genetic network architecture of aneuploidy in tumors.
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Sanson, K. R., Hanna, R. E., Hegde, M., Donovan, K. F., Strand, C., Sullender, M. E., Vaimberg, E. W., Goodale, A., Root, D. E., Piccioni, F., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07901-8 · Cited by 1,043
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Exploring genetic interaction manifolds constructed from rich single-cell phenotypes
Norman, T. M., Horlbeck, M. A., Replogle, J. M., Ge, A. Y., Xu, A., Jost, M., Gilbert, L. A., & Weissman, J. S. (2019) · Science · doi:10.1126/science.aax4438 · Cited by 392
Metadata
- Authors
- Sack, L. M., Davoli, T., Li, M. Z., Li, Y., Xu, Q., Naxerova, K., Wooten, E. C., Bernardi, R. J., Martin, T. D., Chen, T., Leng, Y., Liang, A. C., Scorsone, K. A., Westbrook, T. F., Wong, K.-K., & Elledge, S. J.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 173
- Issue
- 2
- Pages
- 499-514.e23
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2789627388
- Cited by
- 229
- References
- 14
- FWCI
- 7.18
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sack, L. M., Davoli, T., Li, M. Z., Li, Y., Xu, Q., Naxerova, K., Wooten, E. C., Bernardi, R. J., Martin, T. D., Chen, T., Leng, Y., Liang, A. C., Scorsone, K. A., Westbrook, T. F., Wong, K.-K., & Elledge, S. J. (2018). Profound Tissue Specificity in Proliferation Control Underlies Cancer Drivers and Aneuploidy Patterns. Cell. https://doi.org/10.1016/j.cell.2018.02.037
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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.
