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1.
PLoS Genet ; 12(3): e1005853, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26990204

ABSTRACT

Multiple Sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. The risk of developing MS is strongly influenced by genetic predisposition, and over 100 loci have been established as associated with susceptibility. However, the biologically relevant variants underlying disease risk have not been defined for the vast majority of these loci, limiting the power of these genetic studies to define new avenues of research for the development of MS therapeutics. It is therefore crucial that candidate MS susceptibility loci are carefully investigated to identify the biological mechanism linking genetic polymorphism at a given gene to the increased chance of developing MS. MERTK has been established as an MS susceptibility gene and is part of a family of receptor tyrosine kinases known to be involved in the pathogenesis of demyelinating disease. In this study we have refined the association of MERTK with MS risk to independent signals from both common and low frequency variants. One of the associated variants was also found to be linked with increased expression of MERTK in monocytes and higher expression of MERTK was associated with either increased or decreased risk of developing MS, dependent upon HLA-DRB1*15:01 status. This discordant association potentially extended beyond MS susceptibility to alterations in disease course in established MS. This study provides clear evidence that distinct polymorphisms within MERTK are associated with MS susceptibility, one of which has the potential to alter MERTK transcription, which in turn can alter both susceptibility and disease course in MS patients.


Subject(s)
Genetic Predisposition to Disease , HLA-DRB1 Chains/genetics , Multiple Sclerosis/genetics , Proto-Oncogene Proteins/genetics , Receptor Protein-Tyrosine Kinases/genetics , Gene Expression Regulation , Gene Frequency , Genetic Association Studies , Humans , Monocytes/metabolism , Multiple Sclerosis/metabolism , Polymorphism, Single Nucleotide , Proto-Oncogene Proteins/biosynthesis , Receptor Protein-Tyrosine Kinases/biosynthesis , Risk Factors , c-Mer Tyrosine Kinase
2.
Nature ; 488(7412): 499-503, 2012 Aug 23.
Article in English | MEDLINE | ID: mdl-22801503

ABSTRACT

Amyotrophic lateral sclerosis (ALS) is a late-onset neurodegenerative disorder resulting from motor neuron death. Approximately 10% of cases are familial (FALS), typically with a dominant inheritance mode. Despite numerous advances in recent years, nearly 50% of FALS cases have unknown genetic aetiology. Here we show that mutations within the profilin 1 (PFN1) gene can cause FALS. PFN1 is crucial for the conversion of monomeric (G)-actin to filamentous (F)-actin. Exome sequencing of two large ALS families showed different mutations within the PFN1 gene. Further sequence analysis identified 4 mutations in 7 out of 274 FALS cases. Cells expressing PFN1 mutants contain ubiquitinated, insoluble aggregates that in many cases contain the ALS-associated protein TDP-43. PFN1 mutants also display decreased bound actin levels and can inhibit axon outgrowth. Furthermore, primary motor neurons expressing mutant PFN1 display smaller growth cones with a reduced F/G-actin ratio. These observations further document that cytoskeletal pathway alterations contribute to ALS pathogenesis.


Subject(s)
Amyotrophic Lateral Sclerosis/genetics , Amyotrophic Lateral Sclerosis/pathology , Genetic Predisposition to Disease/genetics , Mutant Proteins/metabolism , Mutation/genetics , Profilins/genetics , Profilins/metabolism , Actins/metabolism , Amino Acid Sequence , Amyotrophic Lateral Sclerosis/diagnosis , Amyotrophic Lateral Sclerosis/metabolism , Animals , Axons/metabolism , Axons/pathology , Cells, Cultured , Exome/genetics , Female , Growth Cones/metabolism , High-Throughput Nucleotide Sequencing , Humans , Jews/genetics , Male , Mice , Models, Molecular , Molecular Sequence Data , Motor Neurons/cytology , Motor Neurons/metabolism , Mutant Proteins/genetics , Pedigree , Protein Conformation , Ubiquitination , White People/genetics
3.
Bioinformatics ; 27(8): 1135-42, 2011 Apr 15.
Article in English | MEDLINE | ID: mdl-21367871

ABSTRACT

MOTIVATION: With the growing availability of high-throughput protein-protein interaction (PPI) data, it has become possible to consider how a protein's local or global network characteristics predict its function. RESULTS: We introduce a graph-theoretic approach that identifies key regulatory proteins in an organism by analyzing proteins' local PPI network structure. We apply the method to the yeast genome and describe several properties of the resulting set of regulatory hubs. Finally, we demonstrate how the identified hubs and putative target gene sets can be used to identify causative, functional regulators of differential gene expression linked to human disease. AVAILABILITY: Code is available at http://bcb.cs.tufts.edu/hubcomps. CONTACT: fox.andrew.d@gmail.com; slonim@cs.tufts.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Subject(s)
Protein Interaction Mapping/methods , Algorithms , Anti-Bacterial Agents/pharmacology , Disease/genetics , Drug Resistance, Fungal , Gene Expression Profiling , Gentamicins/pharmacology , Humans , Models, Statistical , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae Proteins/metabolism , Yeasts/drug effects , Yeasts/genetics , Yeasts/metabolism
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