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HRM method for identification of TP53 exon 5 and 8 mutations in human prostate cancer patients. Meta Gene 2022. [DOI: 10.1016/j.mgene.2022.101020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Wang T, Ruan S, Zhao X, Shi X, Teng H, Zhong J, You M, Xia K, Sun Z, Mao F. OncoVar: an integrated database and analysis platform for oncogenic driver variants in cancers. Nucleic Acids Res 2021; 49:D1289-D1301. [PMID: 33179738 PMCID: PMC7778899 DOI: 10.1093/nar/gkaa1033] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022] Open
Abstract
The prevalence of neutral mutations in cancer cell population impedes the distinguishing of cancer-causing driver mutations from passenger mutations. To systematically prioritize the oncogenic ability of somatic mutations and cancer genes, we constructed a useful platform, OncoVar (https://oncovar.org/), which employed published bioinformatics algorithms and incorporated known driver events to identify driver mutations and driver genes. We identified 20 162 cancer driver mutations, 814 driver genes and 2360 pathogenic pathways with high-confidence by reanalyzing 10 769 exomes from 33 cancer types in The Cancer Genome Atlas (TCGA) and 1942 genomes from 18 cancer types in International Cancer Genome Consortium (ICGC). OncoVar provides four points of view, 'Mutation', 'Gene', 'Pathway' and 'Cancer', to help researchers to visualize the relationships between cancers and driver variants. Importantly, identification of actionable driver alterations provides promising druggable targets and repurposing opportunities of combinational therapies. OncoVar provides a user-friendly interface for browsing, searching and downloading somatic driver mutations, driver genes and pathogenic pathways in various cancer types. This platform will facilitate the identification of cancer drivers across individual cancer cohorts and helps to rank mutations or genes for better decision-making among clinical oncologists, cancer researchers and the broad scientific community interested in cancer precision medicine.
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Affiliation(s)
- Tao Wang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410083, China
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Shasha Ruan
- Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430072, China
| | - Xiaolu Zhao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Xiaohui Shi
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Huajing Teng
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Jianing Zhong
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases of Ministry of Education, Gannan Medical University, Ganzhou 341000, China
| | | | - Kun Xia
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410083, China
- CAS Center for Excellence in Brain Science and Intelligences Technology (CEBSIT), Shanghai 200031, China
- School of Basic Medical Science, Central South University, Changsha, Hunan 410078, China
| | - Zhongsheng Sun
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Chinese Academy of Sciences, Beijing 100101, China
| | - Fengbiao Mao
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China
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Chen S, Li M, Zhu W, Mao F, Wang J, Sun Z, Huang X. A novel 10-base pair insertion mutation in exon 5 of the SOD1 gene in a Chinese family with amyotrophic lateral sclerosis. Neurobiol Aging 2016; 45:212.e1-212.e4. [PMID: 27297615 DOI: 10.1016/j.neurobiolaging.2016.04.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 03/29/2016] [Accepted: 04/25/2016] [Indexed: 12/13/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is an adult-onset, progressive, fatal neurodegenerative disease. Several genes are associated with ALS. Copper-zinc superoxide dismutase 1 (SOD1) is one of the most commonly mutated genes in ALS, and more than 160 mutations in SOD1 have been reported. We reported a novel heterozygous insertion mutation that led to a frameshift and a premature termination at position 136 in exon 5 of the SOD1 gene (c.392_393insGCAAAGGTGG; p.N132Qfs*5) in a Chinese familial ALS pedigree. This mutation in the pedigree demonstrated an autosomal dominant pattern of inheritance and a phenotype characterized by an early onset (approximately 34 years old) with a relatively rapid course (approximately 2 years) and limb onset with respiratory involvement. The clinical feature of the p.N132Qfs*5 mutation was nearly identical to a previously reported mutation (Gly127insTGGG). Experiments in G127X mice demonstrated that the G127X mutation was pathogenic. SOD1 activity in the p.N132Qfs*5 mutation carriers in the family decreased significantly compared with normal family members. In conclusion, we identified a novel SOD1 mutation in an ALS family, which is an important addition to the catalog of SOD1 mutations in ALS.
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Affiliation(s)
- Siyu Chen
- Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Mao Li
- Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Wenjia Zhu
- Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Fengbiao Mao
- Beijing Institutes of Life Science Chinese Academy of Science, Beijing, China; University of Chinese Academy of Science, Beijing, China
| | - Jiesi Wang
- Beijing Institutes of Life Science Chinese Academy of Science, Beijing, China; University of Chinese Academy of Science, Beijing, China
| | - Zhongsheng Sun
- Beijing Institutes of Life Science Chinese Academy of Science, Beijing, China; University of Chinese Academy of Science, Beijing, China.
| | - Xusheng Huang
- Department of Neurology, Chinese PLA General Hospital, Beijing, China.
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Kepp KP. Genotype-property patient-phenotype relations suggest that proteome exhaustion can cause amyotrophic lateral sclerosis. PLoS One 2015; 10:e0118649. [PMID: 25798606 PMCID: PMC4370410 DOI: 10.1371/journal.pone.0118649] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Accepted: 01/08/2015] [Indexed: 12/11/2022] Open
Abstract
Late-onset neurodegenerative diseases remain poorly understood as search continues for the perceived pathogenic protein species. Previously, variants in Superoxide Dismutase 1 (SOD1) causing Amyotrophic Lateral Sclerosis (ALS) were found to destabilize and reduce net charge, suggesting a pathogenic aggregation mechanism. This paper reports analysis of compiled patient data and experimental and computed protein properties for variants of human SOD1, a major risk factor of ALS. Both stability and reduced net charge correlate significantly with disease, with larger significance than previously observed. Using two independent methods and two data sets, a probability < 3% (t-statistical test) is found that ALS-causing mutations share average stability with all possible 2907 SOD1 mutations. Most importantly, un-weighted patient survival times correlate strongly with the misfolded/unfolded protein copy number, expressed as an exponential function of the experimental stabilities (R2 = 0.31, p = 0.002), and this phenotype is further aggravated by charge (R2 = 0.51, p = 1.8 x 10−5). This finding suggests that disease relates to the copy number of misfolded proteins. Exhaustion of motor neurons due to expensive protein turnover of misfolded protein copies is consistent with the data but can further explain e.g. the expression-dependence of SOD1 pathogenicity, the lack of identification of a molecular toxic mode, elevated SOD1 mRNA levels in sporadic ALS, bioenergetic effects and increased resting energy expenditure in ALS patients, genetic risk factors affecting RNA metabolism, and recent findings that a SOD1 mutant becomes toxic when proteasome activity is recovered after washout of a proteasome inhibitor. Proteome exhaustion is also consistent with energy-producing mitochondria accumulating at the neuromuscular junctions where ALS often initiates. If true, this exhaustion mechanism implies a complete change of focus in treatment of ALS towards actively nursing the energy state and protein turnover of the motor neurons.
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Affiliation(s)
- Kasper P. Kepp
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, Denmark
- * E-mail:
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SESSION 1 JOINT OPENING SESSION. Amyotroph Lateral Scler Frontotemporal Degener 2014; 15 Suppl 1:1-56. [DOI: 10.3109/21678421.2014.960172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Aggregation propensities of superoxide dismutase G93 hotspot mutants mirror ALS clinical phenotypes. Proc Natl Acad Sci U S A 2014; 111:E4568-76. [PMID: 25316790 DOI: 10.1073/pnas.1308531111] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Protein framework alterations in heritable Cu, Zn superoxide dismutase (SOD) mutants cause misassembly and aggregation in cells affected by the motor neuron disease ALS. However, the mechanistic relationship between superoxide dismutase 1 (SOD1) mutations and human disease is controversial, with many hypotheses postulated for the propensity of specific SOD mutants to cause ALS. Here, we experimentally identify distinguishing attributes of ALS mutant SOD proteins that correlate with clinical severity by applying solution biophysical techniques to six ALS mutants at human SOD hotspot glycine 93. A small-angle X-ray scattering (SAXS) assay and other structural methods assessed aggregation propensity by defining the size and shape of fibrillar SOD aggregates after mild biochemical perturbations. Inductively coupled plasma MS quantified metal ion binding stoichiometry, and pulsed dipolar ESR spectroscopy evaluated the Cu(2+) binding site and defined cross-dimer copper-copper distance distributions. Importantly, we find that copper deficiency in these mutants promotes aggregation in a manner strikingly consistent with their clinical severities. G93 mutants seem to properly incorporate metal ions under physiological conditions when assisted by the copper chaperone but release copper under destabilizing conditions more readily than the WT enzyme. Altered intradimer flexibility in ALS mutants may cause differential metal retention and promote distinct aggregation trends observed for mutant proteins in vitro and in ALS patients. Combined biophysical and structural results test and link copper retention to the framework destabilization hypothesis as a unifying general mechanism for both SOD aggregation and ALS disease progression, with implications for disease severity and therapeutic intervention strategies.
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