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Dive into the research topics where Mike D R Croning is active.

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Featured researches published by Mike D R Croning.


Nature Neuroscience | 2011

Characterization of the proteome, diseases and evolution of the human postsynaptic density

Àlex Bayés; Louie N. van de Lagemaat; Mark O. Collins; Mike D R Croning; Ian R. Whittle; Jyoti S. Choudhary; Seth G. N. Grant

We isolated the postsynaptic density from human neocortex (hPSD) and identified 1,461 proteins. hPSD mutations cause 133 neurological and psychiatric diseases and were enriched in cognitive, affective and motor phenotypes underpinned by sets of genes. Strong protein sequence conservation in mammalian lineages, particularly in hub proteins, indicates conserved function and organization in primate and rodent models. The hPSD is an important structure for nervous system disease and behavior.


Molecular Systems Biology | 2009

Targeted tandem affinity purification of PSD-95 recovers core postsynaptic complexes and schizophrenia susceptibility proteins

Esperanza Fernández; Mark O. Collins; Rachel T. Uren; Maksym V. Kopanitsa; Noboru H. Komiyama; Mike D R Croning; Lysimachos Zografos; J. Douglas Armstrong; Jyoti S. Choudhary; Seth G. N. Grant

The molecular complexity of mammalian proteomes demands new methods for mapping the organization of multiprotein complexes. Here, we combine mouse genetics and proteomics to characterize synapse protein complexes and interaction networks. New tandem affinity purification (TAP) tags were fused to the carboxyl terminus of PSD‐95 using gene targeting in mice. Homozygous mice showed no detectable abnormalities in PSD‐95 expression, subcellular localization or synaptic electrophysiological function. Analysis of multiprotein complexes purified under native conditions by mass spectrometry defined known and new interactors: 118 proteins comprising crucial functional components of synapses, including glutamate receptors, K+ channels, scaffolding and signaling proteins, were recovered. Network clustering of protein interactions generated five connected clusters, with two clusters containing all the major ionotropic glutamate receptors and one cluster with voltage‐dependent K+ channels. Annotation of clusters with human disease associations revealed that multiple disorders map to the network, with a significant correlation of schizophrenia within the glutamate receptor clusters. This targeted TAP tagging strategy is generally applicable to mammalian proteomics and systems biology approaches to disease.


Nature Neuroscience | 2008

Evolutionary expansion and anatomical specialization of synapse proteome complexity

Richard D. Emes; Andrew Pocklington; Chris N. G. Anderson; Àlex Bayés; Mark O. Collins; Catherine Vickers; Mike D R Croning; Bilal R Malik; Jyoti S. Choudhary; J. Douglas Armstrong; Seth G. N. Grant

Understanding the origins and evolution of synapses may provide insight into species diversity and the organization of the brain. Using comparative proteomics and genomics, we examined the evolution of the postsynaptic density (PSD) and membrane-associated guanylate kinase (MAGUK)-associated signaling complexes (MASCs) that underlie learning and memory. PSD and MASC orthologs found in yeast carry out basic cellular functions to regulate protein synthesis and structural plasticity. We observed marked changes in signaling complexity at the yeast-metazoan and invertebrate-vertebrate boundaries, with an expansion of key synaptic components, notably receptors, adhesion/cytoskeletal proteins and scaffold proteins. A proteomic comparison of Drosophila and mouse MASCs revealed species-specific adaptation with greater signaling complexity in mouse. Although synaptic components were conserved amongst diverse vertebrate species, mapping mRNA and protein expression in the mouse brain showed that vertebrate-specific components preferentially contributed to differences between brain regions. We propose that the evolution of synapse complexity around a core proto-synapse has contributed to invertebrate-vertebrate differences and to brain specialization.


Biochemical Society Transactions | 2010

Confirmed rare copy number variants implicate novel genes in schizophrenia

Gloria W.C. Tam; Louie N. van de Lagemaat; Richard Redon; Karen E. Strathdee; Mike D R Croning; M. P. Malloy; Walter J. Muir; Ben Pickard; Ian J. Deary; Douglas Blackwood; Nigel P. Carter; Seth G. N. Grant

Understanding how cognitive processes including learning, memory, decision making and ideation are encoded by the genome is a key question in biology. Identification of sets of genes underlying human mental disorders is a path towards this objective. Schizophrenia is a common disease with cognitive symptoms, high heritability and complex genetics. We have identified genes involved with schizophrenia by measuring differences in DNA copy number across the entire genome in 91 schizophrenia cases and 92 controls in the Scottish population. Our data reproduce rare and common variants observed in public domain data from >3000 schizophrenia cases, confirming known disease loci as well as identifying novel loci. We found copy number variants in PDE10A (phosphodiesterase 10A), CYFIP1 [cytoplasmic FMR1 (Fragile X mental retardation 1)-interacting protein 1], K(+) channel genes KCNE1 and KCNE2, the Downs syndrome critical region 1 gene RCAN1 (regulator of calcineurin 1), cell-recognition protein CHL1 (cell adhesion molecule with homology with L1CAM), the transcription factor SP4 (specificity protein 4) and histone deacetylase HDAC9, among others (see http://www.genes2cognition.org/SCZ-CNV). Integrating the function of these many genes into a coherent model of schizophrenia and cognition is a major unanswered challenge.


Science Signaling | 2009

Neurotransmitters Drive Combinatorial Multistate Postsynaptic Density Networks

Marcelo P. Coba; Andrew Pocklington; Mark O. Collins; Maksym V. Kopanitsa; Rachel T. Uren; Sajani Swamy; Mike D R Croning; Jyoti S. Choudhary; Seth G. N. Grant

Analysis of protein phosphorylation patterns provides insight into the organization of molecular networks at the postsynaptic density. Patterning Postsynaptic Phosphorylation The postsynaptic density of excitatory synapses in the mammalian brain—the initial site for integration of incoming information from the presynaptic neuron—contains over a thousand different proteins. Rather than investigating the effects of neurotransmitter signaling on a single pathway, Coba et al. explored the functional organization of these postsynaptic density proteins. Using a large-scale proteomic approach, they found that stimulation of different classes of neurotransmitter receptor affected the phosphorylation status of hundreds of phosphorylation sites in overlapping networks of postsynaptic density proteins. Identification of a set of regulatory phosphorylation motifs enabled them to construct a model of the molecular circuitry of the postsynaptic proteome, a crucial step in elucidating how postsynaptic neurons process incoming information. The mammalian postsynaptic density (PSD) comprises a complex collection of ~1100 proteins. Despite extensive knowledge of individual proteins, the overall organization of the PSD is poorly understood. Here, we define maps of molecular circuitry within the PSD based on phosphorylation of postsynaptic proteins. Activation of a single neurotransmitter receptor, the N-methyl-d-aspartate receptor (NMDAR), changed the phosphorylation status of 127 proteins. Stimulation of ionotropic and metabotropic glutamate receptors and dopamine receptors activated overlapping networks with distinct combinatorial phosphorylation signatures. Using peptide array technology, we identified specific phosphorylation motifs and switching mechanisms responsible for the integration of neurotransmitter receptor pathways and their coordination of multiple substrates in these networks. These combinatorial networks confer high information-processing capacity and functional diversity on synapses, and their elucidation may provide new insights into disease mechanisms and new opportunities for drug discovery.


PLOS ONE | 2012

Comparative Study of Human and Mouse Postsynaptic Proteomes Finds High Compositional Conservation and Abundance Differences for Key Synaptic Proteins

Àlex Bayés; Mark O. Collins; Mike D R Croning; Louie N. van de Lagemaat; Jyoti S. Choudhary; Seth G. N. Grant

Direct comparison of protein components from human and mouse excitatory synapses is important for determining the suitability of mice as models of human brain disease and to understand the evolution of the mammalian brain. The postsynaptic density is a highly complex set of proteins organized into molecular networks that play a central role in behavior and disease. We report the first direct comparison of the proteome of triplicate isolates of mouse and human cortical postsynaptic densities. The mouse postsynaptic density comprised 1556 proteins and the human one 1461. A large compositional overlap was observed; more than 70% of human postsynaptic density proteins were also observed in the mouse postsynaptic density. Quantitative analysis of postsynaptic density components in both species indicates a broadly similar profile of abundance but also shows that there is higher abundance variation between species than within species. Well known components of this synaptic structure are generally more abundant in the mouse postsynaptic density. Significant inter-species abundance differences exist in some families of key postsynaptic density proteins including glutamatergic neurotransmitter receptors and adaptor proteins. Furthermore, we have identified a closely interacting set of molecules enriched in the human postsynaptic density that could be involved in dendrite and spine structural plasticity. Understanding synapse proteome diversity within and between species will be important to further our understanding of brain complexity and disease.


Translational Psychiatry | 2014

Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins

William David Hill; Gail Davies; L N van de Lagemaat; Andrea Christoforou; Riccardo E. Marioni; Cres Fernandes; David C. Liewald; Mike D R Croning; A. Payton; Leone Craig; L J Whalley; M. Horan; William Ollier; Narelle K. Hansell; Margaret J. Wright; Nicholas G. Martin; Grant W. Montgomery; Vidar M. Steen; S. Le Hellard; Thomas Espeseth; Astri J. Lundervold; Ivar Reinvang; Neil Pendleton; Seth G. N. Grant; Timothy C. Bates; Ian J. Deary

Differences in general cognitive ability (intelligence) account for approximately half of the variation in any large battery of cognitive tests and are predictive of important life events including health. Genome-wide analyses of common single-nucleotide polymorphisms indicate that they jointly tag between a quarter and a half of the variance in intelligence. However, no single polymorphism has been reliably associated with variation in intelligence. It remains possible that these many small effects might be aggregated in networks of functionally linked genes. Here, we tested a network of 1461 genes in the postsynaptic density and associated complexes for an enriched association with intelligence. These were ascertained in 3511 individuals (the Cognitive Ageing Genetics in England and Scotland (CAGES) consortium) phenotyped for general cognitive ability, fluid cognitive ability, crystallised cognitive ability, memory and speed of processing. By analysing the results of a genome wide association study (GWAS) using Gene Set Enrichment Analysis, a significant enrichment was found for fluid cognitive ability for the proteins found in the complexes of N-methyl-D-aspartate receptor complex; P=0.002. Replication was sought in two additional cohorts (N=670 and 2062). A meta-analytic P-value of 0.003 was found when these were combined with the CAGES consortium. The results suggest that genetic variation in the macromolecular machines formed by membrane-associated guanylate kinase (MAGUK) scaffold proteins and their interaction partners contributes to variation in intelligence.


PLOS ONE | 2011

Clustered Coding Variants in the Glutamate Receptor Complexes of Individuals with Schizophrenia and Bipolar Disorder

René A.W. Frank; Allan F. McRae; Andrew Pocklington; Louie N. van de Lagemaat; Pau Navarro; Mike D R Croning; Noboru H. Komiyama; Sophie J. Bradley; R. A. John Challiss; J. Douglas Armstrong; Robert D. Finn; M. P. Malloy; Alan Maclean; Sarah E. Harris; Sanjeev Bhaskar; Eleanor Howard; Sarah Hunt; Alison J. Coffey; Venkatesh Ranganath; Panos Deloukas; Jane Rogers; Walter J. Muir; Ian J. Deary; Douglas Blackwood; Peter M. Visscher; Seth G. N. Grant

Current models of schizophrenia and bipolar disorder implicate multiple genes, however their biological relationships remain elusive. To test the genetic role of glutamate receptors and their interacting scaffold proteins, the exons of ten glutamatergic ‘hub’ genes in 1304 individuals were re-sequenced in case and control samples. No significant difference in the overall number of non-synonymous single nucleotide polymorphisms (nsSNPs) was observed between cases and controls. However, cluster analysis of nsSNPs identified two exons encoding the cysteine-rich domain and first transmembrane helix of GRM1 as a risk locus with five mutations highly enriched within these domains. A new splice variant lacking the transmembrane GPCR domain of GRM1 was discovered in the human brain and the GRM1 mutation cluster could perturb the regulation of this variant. The predicted effect on individuals harbouring multiple mutations distributed in their ten hub genes was also examined. Diseased individuals possessed an increased load of deleteriousness from multiple concurrent rare and common coding variants. Together, these data suggest a disease model in which the interplay of compound genetic coding variants, distributed among glutamate receptors and their interacting proteins, contribute to the pathogenesis of schizophrenia and bipolar disorders.


Molecular Brain | 2014

Human post-mortem synapse proteome integrity screening for proteomic studies of postsynaptic complexes

Àlex Bayés; Mark O. Collins; Clare M Galtrey; Clémence Simonnet; Marcia Roy; Mike D R Croning; Gemma Gou; Louie N. van de Lagemaat; David Milward; Ian R. Whittle; Colin Smith; Jyoti S. Choudhary; Seth G. N. Grant

BackgroundSynapses are fundamental components of brain circuits and are disrupted in over 100 neurological and psychiatric diseases. The synapse proteome is physically organized into multiprotein complexes and polygenic mutations converge on postsynaptic complexes in schizophrenia, autism and intellectual disability. Directly characterising human synapses and their multiprotein complexes from post-mortem tissue is essential to understanding disease mechanisms. However, multiprotein complexes have not been directly isolated from human synapses and the feasibility of their isolation from post-mortem tissue is unknown.ResultsHere we establish a screening assay and criteria to identify post-mortem brain samples containing well-preserved synapse proteomes, revealing that neocortex samples are best preserved. We also develop a rapid method for the isolation of synapse proteomes from human brain, allowing large numbers of post-mortem samples to be processed in a short time frame. We perform the first purification and proteomic mass spectrometry analysis of MAGUK Associated Signalling Complexes (MASC) from neurosurgical and post-mortem tissue and find genetic evidence for their involvement in over seventy human brain diseases.ConclusionsWe have demonstrated that synaptic proteome integrity can be rapidly assessed from human post-mortem brain samples prior to its analysis with sophisticated proteomic methods. We have also shown that proteomics of synapse multiprotein complexes from well preserved post-mortem tissue is possible, obtaining structures highly similar to those isolated from biopsy tissue. Finally we have shown that MASC from human synapses are involved with over seventy brain disorders. These findings should have wide application in understanding the synaptic basis of psychiatric and other mental disorders.


Cell Reports | 2017

Arc requires PSD95 for assembly into postsynaptic complexes involved with neural dysfunction and intelligence

Esperanza Fernández; Mark O. Collins; René A.W. Frank; Fei Zhu; Maksym V. Kopanitsa; Jess Nithianantharajah; Sarah Lempriere; David Fricker; Kathryn A. Elsegood; Catherine L. McLaughlin; Mike D R Croning; C. Mclean; J. Douglas Armstrong; W. David Hill; Ian J. Deary; Giulia Cencelli; Claudia Bagni; Menachem Fromer; Shaun Purcell; Andrew Pocklington; Jyoti S. Choudhary; Noboru H. Komiyama; Seth G. N. Grant

Summary Arc is an activity-regulated neuronal protein, but little is known about its interactions, assembly into multiprotein complexes, and role in human disease and cognition. We applied an integrated proteomic and genetic strategy by targeting a tandem affinity purification (TAP) tag and Venus fluorescent protein into the endogenous Arc gene in mice. This allowed biochemical and proteomic characterization of native complexes in wild-type and knockout mice. We identified many Arc-interacting proteins, of which PSD95 was the most abundant. PSD95 was essential for Arc assembly into 1.5-MDa complexes and activity-dependent recruitment to excitatory synapses. Integrating human genetic data with proteomic data showed that Arc-PSD95 complexes are enriched in schizophrenia, intellectual disability, autism, and epilepsy mutations and normal variants in intelligence. We propose that Arc-PSD95 postsynaptic complexes potentially affect human cognitive function.

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Jyoti S. Choudhary

Wellcome Trust Sanger Institute

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Mark O. Collins

Wellcome Trust Sanger Institute

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Ian J. Deary

University of Edinburgh

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Àlex Bayés

Autonomous University of Barcelona

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Gail Davies

University College London

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Leone Craig

University of Aberdeen

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