Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Deep phylogeny of cancer drivers and compensatory mutations.

ABSTRACT: Driver mutations (DM) are the genetic impetus for most cancers. The DM are assumed to be deleterious in species evolution, being eliminated by purifying selection unless compensated by other mutations. We present deep phylogenies for 84 cancer driver genes and investigate the prevalence of 434 DM across gene-species trees. The DM are rare in species evolution, and 181 are completely absent, validating their negative fitness effect. The DM are more common in unicellular than in multicellular eukaryotes, suggesting a link between these mutations and cell proliferation control. 18 DM appear as the ancestral state in one or more major clades, including 3 among mammals. We identify within-gene, compensatory mutations for 98 DM and infer likely interactions between the DM and compensatory sites in protein structures. These findings elucidate the evolutionary status of DM and are expected to advance the understanding of the functions and evolution of oncogenes and tumor suppressors.

SUBMITTER: Rochman ND

PROVIDER: S-EPMC7532533 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Deep phylogeny of cancer drivers and compensatory mutations.

Rochman Nash D ND Wolf Yuri I YI Koonin Eugene V EV

Communications biology 20201002 1

Driver mutations (DM) are the genetic impetus for most cancers. The DM are assumed to be deleterious in species evolution, being eliminated by purifying selection unless compensated by other mutations. We present deep phylogenies for 84 cancer driver genes and investigate the prevalence of 434 DM across gene-species trees. The DM are rare in species evolution, and 181 are completely absent, validating their negative fitness effect. The DM are more common in unicellular than in multicellular euka ...[more]

PMID: 33009502

Similar Datasets

IntOGen-mutations identifies cancer drivers across tumor types.

Project description:The IntOGen-mutations platform (http://www.intogen.org/mutations/) summarizes somatic mutations, genes and pathways involved in tumorigenesis. It identifies and visualizes cancer drivers, analyzing 4,623 exomes from 13 cancer sites. It provides support to cancer researchers, aids the identification of drivers across tumor cohorts and helps rank mutations for better clinical decision-making.

| S-EPMC5758042 | biostudies-literature

Second-site compensatory mutations of HIV-1 capsid mutations.

Project description:The human immunodeficiency virus (HIV) capsid (CA) protein assembles into a hexameric lattice that forms the mature virus core. Contacts between the CA N-terminal domain (NTD) of one monomer and the C-terminal domain (CTD) of the adjacent monomer are important for the assembly of this core. In this study, we have examined the effects of mutations in the NTD region associated with this interaction. We have found that such mutations yielded modest reductions of virus release but major effects on viral infectivity. Cell culture and in vitro assays indicate that the infectivity defects relate to abnormalities in the viral cores. We have selected second-site compensatory mutations that partially restored HIV infectivity. These mutations map to the CA CTD and to spacer peptide 1 (SP1), the portion of the precursor Gag protein immediately C terminal to the CTD. The compensatory mutations do not locate to the molecularly modeled intermolecular NTD-CTD interface. Rather, the compensatory mutations appear to act indirectly, possibly by realignment of the C-terminal helix of the CA CTD, which participates in the NTD-CTD interface and has been shown to serve an important role in the assembly of infectious virus.

| S-EPMC3126181 | biostudies-literature

Why Do Drivers Use Mobile Phones While Driving? The Contribution of Compensatory Beliefs.

Project description:The current study is the first to investigate the contribution of compensatory beliefs (i.e., the belief that the negative effects of an unsafe behavior can be "neutralized" by engaging in another safe behavior; e.g., "I can use a mobile phone now because I will slow down ") on drivers' mobile phone use while driving. The effects of drivers' personal characteristics on compensatory beliefs, mobile phone use and self-regulatory behaviors were also examined. A series of questions were administered to drivers, which included (1) personal measures, (2) scales that measured compensatory beliefs generally in substance use and with regard to driving safety, and (3) questions to measure drivers' previous primary mobile phone usage and corresponding self-regulatory actions. Overall, drivers reported a low likelihood of compensatory beliefs, prior mobile phone use, and a strong frequency of self-regulatory behaviors. Respondents who had a higher tendency toward compensatory beliefs reported more incidents or crash involvement caused by making or answering calls and sending or reading messages. The findings provide strong support for the contribution of compensatory beliefs in predicting mobile phone usage in the context of driving. Compensatory beliefs can explain 41% and 43% of the variance in the active activities of making calls and texting/sending messages compared with 18% and 31% of the variance in the passive activities of answering calls and reading messages. Among the regression models for predicting self-regulatory behaviors at the tactical or operational level, compensatory beliefs emerge as significant predictors only in predicting shorter conversations while on a call. The findings and limitations of the current study are discussed.

| S-EPMC4975505 | biostudies-literature

Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers.

Project description:Large-scale cancer genome sequencing has uncovered thousands of gene mutations, but distinguishing tumor driver genes from functionally neutral passenger mutations is a major challenge. We analyzed 800 cancer genomes of eight types to find single-nucleotide variants (SNVs) that precisely target phosphorylation machinery, important in cancer development and drug targeting. Assuming that cancer-related biological systems involve unexpectedly frequent mutations, we used novel algorithms to identify genes with significant phosphorylation-associated SNVs (pSNVs), phospho-mutated pathways, kinase networks, drug targets, and clinically correlated signaling modules. We highlight increased survival of patients with TP53 pSNVs, hierarchically organized cancer kinase modules, a novel pSNV in EGFR, and an immune-related network of pSNVs that correlates with prolonged survival in ovarian cancer. Our findings include multiple actionable cancer gene candidates (FLNB, GRM1, POU2F1), protein complexes (HCF1, ASF1), and kinases (PRKCZ). This study demonstrates new ways of interpreting cancer genomes and presents new leads for cancer research.

| S-EPMC3564258 | biostudies-literature

Alternative analyses of compensatory base changes in an ITS2 phylogeny of Corydalis (Papaveraceae).

Project description:Background and aimsCompensatory base changes (CBCs) that occur in stems of ribosomal internal transcribed spacer 2 (ITS2) can have important phylogenetic implications because they are not expected to occur within a single species and also affect selection of appropriate DNA substitution models. These effects have been demonstrated when studying ancient lineages. Here we examine these effects to quantify their importance within a more recent lineage by using both DNA- and RNA-specific models.MethodsWe examined the phylogenetic implications of the CBC process by using a comprehensive sampling of ITS2 from ten closely related species of Corydalis. We predicted ITS2 secondary structures by using homology modelling, which was then used for a structure-based alignment. Paired and unpaired regions were analysed separately and in combination by using both RNA-specific substitution models and conventional DNA models. We mapped all base-pair states of CBCs on the phylogenetic tree to infer their evolution and relative timing.Key resultsOur results indicate that selection acted to increase the thermodynamic stability of the secondary structure. Thus, the unpaired and paired regions did not evolve under a common substitution model. Only two CBCs occurred within the lineage sampled and no striking differences in topology or support for the shared clades were found between trees constructed using DNA- or RNA-specific substitution models.ConclusionsAlthough application of RNA-specific substitution models remains preferred over more conventional DNA models, we infer that application of conventional DNA models is unlikely to be problematic when conducting phylogenetic analyses of ITS2 within closely related lineages wherein few CBCs are observed. Each of the two CBCs was found within the same lineages but was not observed within a given species, which supports application of the CBC species concept.

| S-EPMC6758584 | biostudies-literature

Compensatory hemagglutinin mutations alter antigenic properties of influenza viruses.

Project description:Influenza viruses routinely acquire mutations in antigenic sites on the globular head of the hemagglutinin (HA) protein. Since these antigenic sites are near the receptor binding pocket of HA, many antigenic mutations simultaneously alter the receptor binding properties of HA. We previously reported that a K165E mutation in the Sa antigenic site of A/Puerto Rico/8/34 (PR8) HA is associated with secondary neuraminidase (NA) mutations that decrease NA activity. Here, using reverse genetics, we show that the K165E HA mutation dramatically decreases HA binding to sialic acid receptors on cell surfaces. We sequentially passaged reverse-genetics-derived PR8 viruses with the K165E antigenic HA mutation in fertilized chicken eggs, and to our surprise, viruses with secondary NA mutations did not emerge. Instead, viruses with secondary HA mutations emerged in 3 independent passaging experiments, and each of these mutations increased HA binding to sialic acid receptors. Importantly, these compensatory HA mutations were located in the Ca antigenic site and prevented binding of Ca-specific monoclonal antibodies. Taken together, these data indicate that HA antigenic mutations that alter receptor binding avidity can be compensated for by secondary HA or NA mutations. Antigenic diversification of influenza viruses can therefore occur irrespective of direct antibody pressure, since compensatory HA mutations can be located in distinct antibody binding sites.

| S-EPMC3807274 | biostudies-literature

Limits to Compensatory Mutations: Insights from Temperature-Sensitive Alleles.

Project description:Previous experiments with temperature-sensitive mutants of the yeast enzyme orotidine 5'-phosphate decarboxylase (encoded in gene URA3) yielded the unexpected result that reversion occurs only through exact reversal of the original mutation (Jakubowska A, Korona R. 2009. Lack of evolutionary conservation at positions important for thermal stability in the yeast ODCase protein. Mol Biol Evol. 26(7):1431-1434.). We recreated a set of these mutations in which the codon had two nucleotide substitutions, making exact reversion much less likely. We screened these double mutants for reversion and obtained a number of compensatory mutations occurring at alternative sites in the molecule. None of these compensatory mutations fully restored protein performance. The mechanism of partial compensation is consistent with a model in which protein stabilization is additive, as the same secondary mutations can compensate different primary alternations. The distance between primary and compensatory residues precludes direct interaction between the sites. Instead, most of the compensatory mutants were clustered in proximity to the catalytic center. All of the second-site compensatory substitutions occurred at relatively conserved sites, and the amino acid replacements were to residues found at these sites in a multispecies alignment of the protein. Based on the estimated distribution of changes in Gibbs free energy among a large number of amino acid replacements, we estimate that, for most proteins, the probability that a second-site mutation would have a sufficiently large stabilizing effect to offset a temperature-sensitive mutation in the order of 10-4 or less. Hence compensation is likely to take place only for slightly destabilizing mutations because highly stabilizing mutations are exceeding rare.

| S-EPMC6735812 | biostudies-literature

Compensatory mutations improve general permissiveness to antibiotic resistance plasmids.

Project description:Horizontal gene transfer mediated by broad-host-range plasmids is an important mechanism of antibiotic resistance spread. While not all bacteria maintain plasmids equally well, plasmid persistence can improve over time, yet no general evolutionary mechanisms have emerged. Our goal was to identify these mechanisms and to assess if adaptation to one plasmid affects the permissiveness to others. We experimentally evolved Pseudomonas sp. H2 containing multidrug resistance plasmid RP4, determined plasmid persistence and cost using a joint experimental-modelling approach, resequenced evolved clones, and reconstructed key mutations. Plasmid persistence improved in fewer than 600 generations because the fitness cost turned into a benefit. Improved retention of naive plasmids indicated that the host evolved towards increased plasmid permissiveness. Key chromosomal mutations affected two accessory helicases and the RNA polymerase β-subunit. Our and other findings suggest that poor plasmid persistence can be caused by a high cost involving helicase-plasmid interactions that can be rapidly ameliorated.

| S-EPMC5649373 | biostudies-literature

Age-Associated TET2 Mutations: Common Drivers of Myeloid Dysfunction, Cancer and Cardiovascular Disease.

Project description:Acquired, inactivating mutations in Tet methylcytosine dioxygenase 2 (TET2) are detected in peripheral blood cells of a remarkable 5%-10% of adults greater than 65 years of age. They impart a hematopoietic stem cell advantage and resultant clonal hematopoiesis of indeterminate potential (CHIP) with skewed myelomonocytic differentiation. CHIP is associated with an overall increased risk of transformation to a hematological malignancy, especially myeloproliferative and myelodysplastic neoplasms (MPN, MDS) and acute myeloid leukemia (AML), of approximately 0.5% to 1% per year. However, it is becoming increasingly possible to identify individuals at greatest risk, based on CHIP mutational characteristics. CHIP, and particularly TET2-mutant CHIP, is also a novel, significant risk factor for cardiovascular diseases, related in part to hyper-inflammatory, progeny macrophages carrying TET2 mutations. Therefore, somatic TET2 mutations contribute to myeloid expansion and innate immune dysregulation with age and contribute to prevalent diseases in the developed world-cancer and cardiovascular disease. Herein, we describe the impact of detecting TET2 mutations in the clinical setting. We also present the rationale and promise for targeting TET2-mutant and other CHIP clones, and their inflammatory environment, as potential means of lessening risk of myeloid cancer development and dampening CHIP-comorbid inflammatory diseases.

| S-EPMC7014315 | biostudies-literature

Tumor Phylogeny Topology Inference via Deep Learning.

Project description:Principled computational approaches for tumor phylogeny reconstruction via single-cell sequencing typically aim to build the most likely perfect phylogeny tree from the noisy genotype matrix - which represents genotype calls of single cells. This problem is NP-hard, and as a result, existing approaches aim to solve relatively small instances of it through combinatorial optimization techniques or Bayesian inference. As expected, even when the goal is to infer basic topological features of the tumor phylogeny, rather than reconstructing the topology entirely, these approaches could be prohibitively slow. In this paper, we introduce fast deep learning solutions to the problems of inferring whether the most likely tree has a linear (chain) or branching topology and whether a perfect phylogeny is feasible from a given genotype matrix. We also present a reinforcement learning approach for reconstructing the most likely tumor phylogeny. This preliminary work demonstrates that data-driven approaches can reconstruct key features of tumor evolution.

| S-EPMC7582044 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data