Genome-wide transcriptome profiling of the bulk mixture of cells is not ideal for identifying RNA or proteomic signatures that are dysfunctional in Autism spectrum disorder relative to normal genotypes in patient-derived cells. The objective of Project 3 is to develop computational and experimental workflows to identify disease- associated differences at the single-cell level from heterogeneous mixtures of cortical neurons and glial cells. We will perform multi parameter optimization and test our experimental workflow for transparency and robustness. We will apply our optimized workflows to autism-specific hIPSC models from Project 1 to identify disease-specific, cell-type specific RNA signatures.
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Chailangkarn, Thanathom; Noree, Chalongrat; Muotri, Alysson R (2018) The contribution of GTF2I haploinsufficiency to Williams syndrome. Mol Cell Probes 40:45-51 |
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de Souza, Janaina S; Carromeu, Cassiano; Torres, Laila B et al. (2017) IGF1 neuronal response in the absence of MECP2 is dependent on TRalpha 3. Hum Mol Genet 26:270-281 |
Shiryaev, Sergey A; Mesci, Pinar; Pinto, Antonella et al. (2017) Repurposing of the anti-malaria drug chloroquine for Zika Virus treatment and prophylaxis. Sci Rep 7:15771 |
Kakaradov, Boyko; Arsenio, Janilyn; Widjaja, Christella E et al. (2017) Early transcriptional and epigenetic regulation of CD8+ T cell differentiation revealed by single-cell RNA sequencing. Nat Immunol 18:422-432 |
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