Project 1 will characterize and define synaptic and cellular phenotypes of high-risk mutations associated with schizophrenia (SCZ) (NRXN1 exonic deletions, 22q11.2 deletions and 16p11.2 duplications), in human induced neuronal (iN) cells derived from iPS cells. We will identify the most robust phenotypic changes in mutated iN cells (engineered and naturally-occurring), and the electrophysiological, genomic and morphometric assays that detect those differences most cost-effectively. The most promising models and assays will be selected for future high-throughput screening, based on robustness (prioritizing those models and assays that reveal phenotypes that are observed in more than one mutation) and cross-validation across laboratories, within and across species, and across source tissues in mice (iN cells, primary cultured neurons and mPFC brain slices -- Project 2). The project includes 9 specific aims: (1) To generate iN cells with an engineered form of each high-risk mutation for functional evaluation of mutant and non-mutant cells. (2) To generate iN cells from iPS cells from patients carrying high-risk mutations and controls. (3) To characterize the synaptic phenotype(s) of these mutations in human iN cells using electrophysiology and functional imaging. (4) To identify novel morphological synaptic and cellular phenotypes of these mutations in iN cells using morphometric analysis of high-definition images. (5) To identify gene regulatory networks associated with high-risk mutations. (6) To test cross-lab reproducibility of all procedures and findings. (7) To integrate functional, molecular and morphological data from mouse and human, mutant and control iN cells. In this last Aim, which is ongoing throughout the study, taking into account all results from Aims 3-6 in human iN cells as well as from Project 2 (mouse models), the most robust and reproducible pathophysiological models will be identified; the extent to which synaptic and cellular phenotypes are overlapping across mutations vs. distinct will be evaluated; and recommendations will be made for the selection of one or more model systems and assays for future high- throughput screening of novel therapeutics. This work will proceed through the analysis of each of the three mutations of interest, studying iN cells first in the engineered form of the mutation compared with non-mutant cells from the same control line, and then in the naturally-occurring mutations observed in SCZ patients vs. control individuals. This work will develop one or more pathophysiological models of synaptic and cellular dysfunction in iN cells carrying specific mutations, for future use in high-throughput screening of novel therapeutics.

Public Health Relevance

Project 1 will carry out experiments in neuron-like cells that have been created from the blood cells of human subjects, to determine how certain genetic changes that are sometimes seen in schizophrenia patients alter the functioning of the connections between neurons. This information may be useful in understanding why these genetic changes predispose to schizophrenia, and in developing new methods to screen chemical compounds to find medications that can benefit people with schizophrenia and related disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Program--Cooperative Agreements (U19)
Project #
3U19MH104172-03S1
Application #
9323585
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Winsky, Lois M
Project Start
2016-08-01
Project End
2019-07-31
Budget Start
2016-08-01
Budget End
2017-07-31
Support Year
3
Fiscal Year
2016
Total Cost
$1
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Südhof, Thomas C (2018) Towards an Understanding of Synapse Formation. Neuron 100:276-293
Tanabe, Koji; Ang, Cheen Euong; Chanda, Soham et al. (2018) Transdifferentiation of human adult peripheral blood T cells into neurons. Proc Natl Acad Sci U S A 115:6470-6475
Südhof, Thomas C (2017) Synaptic Neurexin Complexes: A Molecular Code for the Logic of Neural Circuits. Cell 171:745-769
Fantuzzo, J A; Mirabella, V R; Hamod, A H et al. (2017) Intellicount: High-Throughput Quantification of Fluorescent Synaptic Protein Puncta by Machine Learning. eNeuro 4:
Yang, Nan; Chanda, Soham; Marro, Samuele et al. (2017) Generation of pure GABAergic neurons by transcription factor programming. Nat Methods 14:621-628
Sterky, Fredrik H; Trotter, Justin H; Lee, Sung-Jin et al. (2017) Carbonic anhydrase-related protein CA10 is an evolutionarily conserved pan-neurexin ligand. Proc Natl Acad Sci U S A 114:E1253-E1262
Yi, Fei; Danko, Tamas; Botelho, Salome Calado et al. (2016) Autism-associated SHANK3 haploinsufficiency causes Ih channelopathy in human neurons. Science 352:aaf2669
Pak, ChangHui; Danko, Tamas; Zhang, Yingsha et al. (2015) Human Neuropsychiatric Disease Modeling using Conditional Deletion Reveals Synaptic Transmission Defects Caused by Heterozygous Mutations in NRXN1. Cell Stem Cell 17:316-28