Marcelo Pablo Coba

Marcelo Pablo Coba

Associate Professor of Psychiatry & the Behavioral Sciences
Zilkha Neurogenetic Institute
ZNI 427, 1501 San Pablo Street Health Sciences Campus Los Angeles

Regulatory mechanisms in postsynaptic phosphorylation networks Curr Opin Struct Biol. 2019 02; 54:86-94. . View in PubMed

SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse Neuron. 2019; (103):1-18. . View in PubMed

Endogenous Cell Type-Specific Disrupted in Schizophrenia 1 Interactomes Reveal Protein Networks Associated With Neurodevelopmental Disorders Biol Psychiatry. 2019 02 15; 85(4):305-316. . View in PubMed

Haploinsufficiency leads to neurodegeneration in C9ORF72 ALS/FTD human induced motor neurons Nat Med. 2018 03; 24(3):313-325. . View in PubMed

Dlgap1 knockout mice exhibit alterations of the postsynaptic density and selective reductions in sociability Sci Rep. 2018 02 02; 8(1):2281. . View in PubMed

Spatiotemporal profile of postsynaptic interactomes integrates components of complex brain disorders Nat Neurosci. 2017 Aug; 20(8):1150-1161. . View in PubMed

Synaptic GAP and GEF Complexes Cluster Proteins Essential for GTP Signaling Sci Rep. 2017 07 13; 7(1):5272. . View in PubMed

Long-term potentiation modulates synaptic phosphorylation networks and reshapes the structure of the postsynaptic interactome Sci Signal. 2016 08 09; 9(440):rs8. . View in PubMed

Receptor Tyrosine Kinase MET Interactome and Neurodevelopmental Disorder Partners at the Developing Synapse Biol Psychiatry. 2016 12 15; 80(12):933-942. . View in PubMed

TNiK is required for postsynaptic and nuclear signaling pathways and cognitive function J Neurosci. 2012 Oct 03; 32(40):13987-99. . View in PubMed

Neurotransmitters drive combinatorial multistate postsynaptic density networks Sci Signal. 2009 Apr 28; 2(68):ra19. . View in PubMed

Kinase networks integrate profiles of N-methyl-D-aspartate receptor-mediated gene expression in hippocampus J Biol Chem. 2008 Dec 05; 283(49):34101-7. . View in PubMed

Synapse-associated protein 102/dlgh3 couples the NMDA receptor to specific plasticity pathways and learning strategies J Neurosci. 2007 Mar 07; 27(10):2673-82. . View in PubMed

Proteomic analysis of in vivo phosphorylated synaptic proteins J Biol Chem. 2005 Feb 18; 280(7):5972-82. . View in PubMed

Psychiatric diseases are complex developmental brain disorders, and human genomic studies have discovered many genes associated with disease susceptibility. For each of these disorders, synaptic proteins have been implicated, in particular those involved in synaptic plasticity and protein complexes associated to the post-synaptic density (PSD). Despite these discoveries, there has been a gap in understanding the underlying mechanisms that contribute to dysfunction in these disorders. Our long-term goal is to determine how psychiatric disorder candidate risk factors are functionally integrated at the synapse and how mutations affect their function, not individually, but in developmental signaling network.
A common regulatory mechanism to ensure that signaling components encounter their intracellular partners in the right place and time is the association of components in protein complexes. These protein interactions commonly use protein scaffolds with specialized protein-interaction modules (protein domains) as a key mechanism to achieve specificity. We consider that common and rare risk factors might affect overlapping signaling networks, integrating protein interactions through different cellular compartments and developmental stages.
We use a systems biology approach, combining state of the art proteomic assays to define protein complexes and post-translational modifications, together with mouse genetics, CRISPR technology, hiPSC derived neurons, computational biology, and synaptic physiology. These methods are used to integrate pyschiatric candidate risk factors into spatio-temporal signaling networks and determine how mutations associated to psychiatric disease regulate common signaling mechanisms. This will help us to define network maps that will allow us to stratify patients by their correspondent pathway signatures.
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Affiliated Faculty at UPC