Searching for Essential Genes in the Cancer Genome
- Authors: Pyatnitskiy M.A.1,2, Karpov D.S.1,3, Moshkovskii S.A.1,4
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Affiliations:
- Institute of Biomedical Chemistry
- Higher School of Economics
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences
- Pirogov Russian National Research Medical University
- Issue: Vol 12, No 4 (2018)
- Pages: 283-296
- Section: Article
- URL: https://journals.rcsi.science/1990-7508/article/view/198386
- DOI: https://doi.org/10.1134/S1990750818040078
- ID: 198386
Cite item
Abstract
The concept of essential genes, whose loss of functionality results in cell death, is one of the fundamental concepts of genetics and is important for basic and applied research. This field is particularly promising in oncology, because using the search for genetic vulnerabilities of cancer cells it is possible to identify new potential targets for antitumor therapy. The modern biotechnology capacities are used in large-scale projects for sequencing of somatic mutations in tumors, as well as for direct action on the genetic apparatus of cancer cells. They provided accumulation of a considerable body of knowledge about genetic variants and their phenotypic manifestations in tumors. In the near future this knowledge will find application in clinical practice. This review describes the main experimental and computational approaches to the search for essential genes with special emphasis on application of these methods in molecular oncology.
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About the authors
M. A. Pyatnitskiy
Institute of Biomedical Chemistry; Higher School of Economics
Author for correspondence.
Email: mpyat@bioinformatics.ru
Russian Federation, ul. Pogodinskaya 10, Moscow, 119121; Moscow, 101000
D. S. Karpov
Institute of Biomedical Chemistry; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences
Email: mpyat@bioinformatics.ru
Russian Federation, ul. Pogodinskaya 10, Moscow, 119121; Moscow, 119991
S. A. Moshkovskii
Institute of Biomedical Chemistry; Pirogov Russian National Research Medical University
Email: mpyat@bioinformatics.ru
Russian Federation, ul. Pogodinskaya 10, Moscow, 119121; Moscow, 117997
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