The goal of this research proposal is to use patient derived cells with defined disease genotypes to identify disrupted molecular pathways through large-scale proteomics and network analysis. Human induced pluripotent stem cells (hiPSC) have revolutionized the ability to study human diseases from patients. It is now possible to obtain fibroblasts from patients suffering from a disease and to reprogram the cells to pluripotent stem cells and then differentiate them into a cell type associated with the disease state. This reverses a long standing limitation for the proteomic study of human diseases which has been the ability to use cells directly from patients with the appropriate disease phenotype and genotype. We will use Rett Syndrome (RTT) as a prototype for autism spectrum disorders (ASD). Here, we will combine vertical (mutant and control cell lines) and horizontal genetics (different mutations in MeCP2) to measure proteomic changes in affected forebrain neuronal and glial cells derived through fibroblasts and hiPSCs. We will use network analysis techniques developed in the previous grant period to identify molecular phenotypic differences using protein-protein interaction and protein expression patterns. Our hypothesis is that this approach will identify specific molecular processes disrupted in RTT and altered upon rescue of the RTT neuronal phenotype, which will lead to insights into other ASD.
The goal of this research proposal is to use patient derived cells induced pluripotent stem cells with defined disease genotypes to identify disrupted molecular pathways through large-scale proteomics and network analysis. By using a combination of vertical and horizontal genetics to study how protein networks are affected by perturbations to the genetic programs of these cells, we will determine the biochemical implications of the patient genotypes. This research will drive our understanding of the pathways perturbed by the disease, creating a new focus for therapies.
| Ma, Yuanhui; Yates 3rd, John R (2018) Proteomics and pulse azidohomoalanine labeling of newly synthesized proteins: what are the potential applications? Expert Rev Proteomics 15:545-554 |
| Yates 3rd, John R (2018) Content Is King: Databases Preserve the Collective Information of Science. J Biomol Tech 29:1-3 |
| Brito, Anita; Russo, Fabiele Baldino; Muotri, Alysson Renato et al. (2018) Autism spectrum disorders and disease modeling using stem cells. Cell Tissue Res 371:153-160 |
| Trujillo, Cleber A; Muotri, Alysson R (2018) Brain Organoids and the Study of Neurodevelopment. Trends Mol Med 24:982-990 |
| Liu, Han-Hsuan; McClatchy, Daniel B; Schiapparelli, Lucio et al. (2018) Role of the visual experience-dependent nascent proteome in neuronal plasticity. Elife 7: |
| Ma, Yuanhui; McClatchy, Daniel B; Barkallah, Salim et al. (2017) HILAQ: A Novel Strategy for Newly Synthesized Protein Quantification. J Proteome Res 16:2213-2220 |
| Marchetto, Maria C; Belinson, Haim; Tian, Yuan et al. (2017) Altered proliferation and networks in neural cells derived from idiopathic autistic individuals. Mol Psychiatry 22:820-835 |
| Herai, Roberto H; Negraes, Priscilla D; Muotri, Alysson R (2017) Evidence of nuclei-encoded spliceosome mediating splicing of mitochondrial RNA. Hum Mol Genet 26:2472-2479 |
| Thomas, Charles A; Tejwani, Leon; Trujillo, Cleber A et al. (2017) Modeling of TREX1-Dependent Autoimmune Disease using Human Stem Cells Highlights L1 Accumulation as a Source of Neuroinflammation. Cell Stem Cell 21:319-331.e8 |
| Chatterjee, Sandip; Stupp, Gregory S; Park, Sung Kyu Robin et al. (2016) A comprehensive and scalable database search system for metaproteomics. BMC Genomics 17:642 |
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