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Paralog buffering contributes to the variable essentiality of genes in cancer cell lines
- Source :
- PLoS Genetics, Vol 15, Iss 10, p e1008466 (2019), PLoS Genetics
- Publication Year :
- 2019
- Publisher :
- Public Library of Science (PLoS), 2019.
-
Abstract
- What makes a gene essential for cellular survival? In model organisms, such as budding yeast, systematic gene deletion studies have revealed that paralog genes are less likely to be essential than singleton genes and that this can partially be attributed to the ability of paralogs to buffer each other's loss. However, the essentiality of a gene is not a fixed property and can vary significantly across different genetic backgrounds. It is unclear to what extent paralogs contribute to this variation, as most studies have analyzed genes identified as essential in a single genetic background. Here, using gene essentiality profiles of 558 genetically heterogeneous tumor cell lines, we analyze the contribution of paralogy to variable essentiality. We find that, compared to singleton genes, paralogs are less frequently essential and that this is more evident when considering genes with multiple paralogs or with highly sequence-similar paralogs. In addition, we find that paralogs derived from whole genome duplication exhibit more variable essentiality than those derived from small-scale duplications. We provide evidence that in 13–17% of cases the variable essentiality of paralogs can be attributed to buffering relationships between paralog pairs, as evidenced by synthetic lethality. Paralog pairs derived from whole genome duplication and pairs that function in protein complexes are significantly more likely to display such synthetic lethal relationships. Overall we find that many of the observations made using a single strain of budding yeast can be extended to understand patterns of essentiality in genetically heterogeneous cancer cell lines.<br />Author summary Somewhat surprisingly, the majority of human genes can be mutated or deleted in individual cell lines without killing the cells. This observation raises a number of questions—which genes can be lost and why? Here we address these questions by analyzing data on which genes are essential for the growth of over 500 cancer cell lines. In general we find that paralog genes are essential in fewer cell lines than genes that are not paralogs. Paralogs are genes that have been duplicated at some point in evolutionary history, resulting in our genome having two copies of the same gene—a paralog pair. These paralog pairs are a potential source of redundancy, similar to a car having a spare tire. If this is the case, one might expect that losing one gene from a paralog pair could be tolerated by cells, due to the existence of a 'backup gene', but losing both members would cause cells to die. By analyzing the cancer cell lines we estimate this to be the case for 13–17% of paralog pairs, and that this provides an explanation for why some genes are essential in some cell lines but not others.
- Subjects :
- Genetic Screens
Cancer Research
ved/biology.organism_classification_rank.species
Gene Identification and Analysis
Whole genome duplication
Yeast and Fungal Models
Synthetic lethality
QH426-470
Biochemistry
Synthetic Genome Editing
Genome Engineering
Database and Informatics Methods
0302 clinical medicine
Gene Duplication
Neoplasms
Gene duplication
Medicine and Health Sciences
Genetics (clinical)
Genetics
0303 health sciences
Genes, Essential
biology
Crispr
Eukaryota
Nonsense Mutation
Experimental Organism Systems
Oncology
Saccharomyces Cerevisiae
Engineering and Technology
Synthetic Biology
Cancer cell lines
Sequence Analysis
Cancer Screening
Research Article
animal structures
Bioinformatics
Saccharomyces cerevisiae
Bioengineering
Research and Analysis Methods
Evolution, Molecular
Saccharomyces
03 medical and health sciences
Model Organisms
Diagnostic Medicine
Cell Line, Tumor
Cancer Detection and Diagnosis
Humans
Model organism
Molecular Biology
Gene
Ecology, Evolution, Behavior and Systematics
Sequence (medicine)
030304 developmental biology
Evolutionary Biology
Population Biology
Models, Genetic
ved/biology
Genetic heterogeneity
fungi
Organisms
Fungi
Biology and Life Sciences
Proteins
Protein Complexes
Synthetic Genomics
biology.organism_classification
Yeast
Synthetic Bioengineering
Mutation
Saccharomycetales
Animal Studies
Genetic Polymorphism
Synthetic Lethal Mutations
Sequence Alignment
Population Genetics
Gene Deletion
Function (biology)
030217 neurology & neurosurgery
Genetic screen
Subjects
Details
- ISSN :
- 15537404
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- PLOS Genetics
- Accession number :
- edsair.doi.dedup.....463c72e732a221940b3c4bcfe658dad9
- Full Text :
- https://doi.org/10.1371/journal.pgen.1008466