5 results on '"Daniel B. Callaghan"'
Search Results
2. Multi-parametric analysis of 58 SYNGAP1 variants reveal impacts on GTPase signaling, localization and protein stability
- Author
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Warren M. Meyers, Sanja Rogic, Iulia Dascalu, Daniel B. Callaghan, Wei Wj, Fabian Meili, Kurt Haas, Wun Chey Sin, and Paul Pavlidis
- Subjects
Nonsense mutation ,Missense mutation ,GTPase ,Domain of unknown function ,Computational biology ,SYNGAP1 ,Biology ,Subcellular localization ,Phenotype ,C2 domain - Abstract
SYNGAP1 is a Ras and Rap GTPase with important roles in regulating excitatory synaptic plasticity. While manySYNGAP1missense and nonsense mutations have been associated with intellectual disability, epilepsy, schizophrenia and autism spectrum disorder (ASD), there are many variants of unknown significance (VUS). In this report, we characterize 58 variants in nine assays that examine multiple aspects of SYNGAP1 function. Specifically, we used multiplex phospho-flow cytometry to measure the impact of variants on pERK, pGSK3β and pCREB and high-content imaging to examine their subcellular localization. We find variants ranging from complete loss-of-function (LoF) to wildtype (WT)-like in their ability to regulate pERK and pGSK3β, while all variants retain at least partial ability to regulate pCREB. Interestingly, our assays reveal that a high percentage of variants located within the disordered domain of unknown function that makes up the C-terminal half of SYNGAP1 exhibited LoF, compared to the more well studied catalytic domain. Moreover, we find protein instability to be a major contributor to dysfunction only for two missense variants both located within the catalytic domain. Using high-content imaging, we find variants with nuclear enrichment/exclusion and aberrant nuclear speckle localization. These variants are primarily located within the C2 domain known to mediate membrane lipid interactions. We find that mislocalization is distinct from altered catalytic activity, highlighting multiple independent molecular mechanisms underlying variant dysfunction. Our multidimensional dataset allows clustering of variants based on functional phenotypes and provides high-confidence pathogenicity classification.
- Published
- 2020
- Full Text
- View/download PDF
3. Multi-parametric analysis of 57 SYNGAP1 variants reveal impacts on GTPase signaling, localization, and protein stability
- Author
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Daniel B. Callaghan, William J. Wei, Sanja Rogic, Warren M. Meyers, Kurt Haas, Fabian Meili, Iulia Dascalu, Paul Pavlidis, and Wun Chey Sin
- Subjects
0301 basic medicine ,Autism Spectrum Disorder ,Nonsense mutation ,Computational biology ,GTPase ,SYNGAP1 ,Biology ,Article ,Cell Line ,GTP Phosphohydrolases ,03 medical and health sciences ,0302 clinical medicine ,Intellectual Disability ,Genetics ,Missense mutation ,Humans ,Genetics (clinical) ,C2 domain ,Epilepsy ,Protein Stability ,Subcellular localization ,Phenotype ,030104 developmental biology ,HEK293 Cells ,Neurodevelopmental Disorders ,ras GTPase-Activating Proteins ,Mutation ,Domain of unknown function ,030217 neurology & neurosurgery ,Signal Transduction - Abstract
Summary SYNGAP1 is a neuronal Ras and Rap GTPase-activating protein with important roles in regulating excitatory synaptic plasticity. While many SYNGAP1 missense and nonsense mutations have been associated with intellectual disability, epilepsy, schizophrenia, and autism spectrum disorder (ASD), whether and how they contribute to individual disease phenotypes is often unknown. Here, we characterize 57 variants in seven assays that examine multiple aspects of SYNGAP1 function. Specifically, we used multiplex phospho-flow cytometry to measure variant impact on protein stability, pERK, pGSK3β, pp38, pCREB, and high-content imaging to examine subcellular localization. We find variants ranging from complete loss-of-function (LoF) to wild-type (WT)-like in their regulation of pERK and pGSK3β, while all variants retain at least partial ability to dephosphorylate pCREB. Interestingly, our assays reveal that a larger proportion of variants located within the disordered domain of unknown function (DUF) comprising the C-terminal half of SYNGAP1 exhibited higher LoF, compared to variants within the better studied catalytic domain. Moreover, we find protein instability to be a major contributor to dysfunction for only two missense variants, both located within the catalytic domain. Using high-content imaging, we find variants located within the C2 domain known to mediate membrane lipid interactions exhibit significantly larger cytoplasmic speckles than WT SYNGAP1. Moreover, this subcellular phenotype shows both correlation with altered catalytic activity and unique deviation from signaling assay results, highlighting multiple independent molecular mechanisms underlying variant dysfunction. Our multidimensional dataset allows clustering of variants based on functional phenotypes and provides high-confidence, multi-functional measures for making pathogenicity predictions.
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- 2020
4. Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
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Kathryn Post, Alessandro Cau, Barry P. Young, Sanja Rogic, Kurt Haas, Shernaz X. Bamji, Riki Dingwall, Caitlin Herrington, Ana P. Niciforovic, Catharine H. Rankin, Douglas W. Allan, Warren M. Meyers, Daniel B. Callaghan, Paul Pavlidis, Fabian Meili, Matthew Edwards, Payel Ganguly, Manuel Belmadani, Timothy P. O'Connor, Troy A. McDiarmid, and Christopher J. R. Loewen
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0301 basic medicine ,Genetics of the nervous system ,Somatic cell ,General Physics and Astronomy ,Disease ,Nervous System ,Rats, Sprague-Dawley ,0302 clinical medicine ,Neoplasms ,Genetics research ,Missense mutation ,Phosphorylation ,lcsh:Science ,Cells, Cultured ,0303 health sciences ,Multidisciplinary ,Behavior, Animal ,biology ,Protein Stability ,Pyramidal Cells ,Autism spectrum disorders ,Phenotype ,3. Good health ,Drosophila ,Science ,Mutation, Missense ,Saccharomyces cerevisiae ,Computational biology ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,mental disorders ,Genetic variation ,Animals ,Humans ,PTEN ,Caenorhabditis elegans ,Loss function ,Enzyme Assays ,030304 developmental biology ,Models, Genetic ,business.industry ,HEK 293 cells ,PTEN Phosphohydrolase ,General Chemistry ,Dendrites ,030104 developmental biology ,HEK293 Cells ,biology.protein ,lcsh:Q ,Personalized medicine ,business ,Proto-Oncogene Proteins c-akt ,030217 neurology & neurosurgery - Abstract
Functional variomics provides the foundation for personalized medicine by linking genetic variation to disease expression, outcome and treatment, yet its utility is dependent on appropriate assays to evaluate mutation impact on protein function. To fully assess the effects of 106 missense and nonsense variants of PTEN associated with autism spectrum disorder, somatic cancer and PTEN hamartoma syndrome (PHTS), we take a deep phenotypic profiling approach using 18 assays in 5 model systems spanning diverse cellular environments ranging from molecular function to neuronal morphogenesis and behavior. Variants inducing instability occur across the protein, resulting in partial-to-complete loss-of-function (LoF), which is well correlated across models. However, assays are selectively sensitive to variants located in substrate binding and catalytic domains, which exhibit complete LoF or dominant negativity independent of effects on stability. Our results indicate that full characterization of variant impact requires assays sensitive to instability and a range of protein functions., Mutations in PTEN have been associated with various human disease, including autism spectrum disorder (ASD) and cancer. Here, the authors assess the function of 106 PTEN variants in yeast, invertebrate models and cell culture and report that PTEN variants generally decrease protein stability.
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- 2019
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- View/download PDF
5. Whole genome sequencing and variant discovery in the ASPIRE autism spectrum disorder cohort
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Simon Girard, Yingrui Li, Manuel Belmadani, Chang Yu, Ying Qiao, An Yi Yu, Paul Pavlidis, Daniel B. Callaghan, Evica Rajcan Separovic, Melissa Hudson, Alexandre Dionne-Laporte, Yuchen Xu, Guy A. Rouleau, Ping Liang, Boris Kuzeljevic, Sanja Rogic, Kristina Calli, Franz‐Edward Kurtzke, Robert Baldwin, Matthew Jacobson, Xudong Liu, Amy J.M. Mcaughton, M. E. Suzanne Lewis, Nathan Holmes, Yanchen Li, and Powell Patrick Cheng Tan
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0301 basic medicine ,Proband ,Male ,DNA Copy Number Variations ,Genotype ,Autism Spectrum Disorder ,Population ,030105 genetics & heredity ,Biology ,Genome ,Polymorphism, Single Nucleotide ,Cohort Studies ,03 medical and health sciences ,symbols.namesake ,mental disorders ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,education ,Gene ,Genetics (clinical) ,Alleles ,Genetic Association Studies ,Sanger sequencing ,Whole genome sequencing ,education.field_of_study ,British Columbia ,Whole Genome Sequencing ,Genetic disorder ,Genetic Variation ,medicine.disease ,030104 developmental biology ,Phenotype ,Amino Acid Substitution ,Autism spectrum disorder ,Mutation ,symbols ,Female - Abstract
Autism spectrum disorder (ASD) is a highly heterogeneous genetic disorder with strong evidence of ASD-association currently available only for a small number of genes. This makes it challenging to identify the underlying genetic cause in many cases of ASD, and there is a continuing need for further discovery efforts. We sequenced whole genomes of 119 deeply phenotyped ASD probands in order to identify likely pathogenic variants. We prioritized variants found in each subject by predicted damage, population frequency, literature evidence, and phenotype concordance. We used Sanger sequencing to determine the inheritance status of high-priority variants where possible. We report five novel de novo damaging variants as well as several likely damaging variants of unknown inheritance; these include two novel de novo variants in the well-established ASD gene SCN2A. The availability of rich phenotypic information and its concordance with the literature allowed us to increase our confidence in pathogenicity of discovered variants, especially in probands without parental DNA. Our results contribute to the documentation of potential pathogenic variants and their associated phenotypes in individuals with ASD.
- Published
- 2019
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