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Cross-Regional Mechanisms in Schizophrenia & ASD via Multi-omics in Patient-Derived hiPSC Models

Monash University Malaysia Medicine and Health Sciences
✓ Funded (Competition) 🎓 Biomedical Science 🎓 Medicine 🎓 Neuroscience multi-omics genomics neurodevelopmental disorders hipsc schizophrenia autism spectrum disorder proteomics ai modelling

Explore cellular and molecular mechanisms of schizophrenia and autism using patient-derived hiPSCs combined with multi-omics data and AI. Learn to integrate wet-lab neuroscience techniques with computational analysis to identify novel disease biomarkers and population-specific features.

AI-generated overview

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Why This Research Matters

This research addresses significant gaps in understanding neurodevelopmental disorders across diverse populations, improving human relevance of preclinical models. By identifying biomarkers and disease modules, it enables tailored therapeutics and equitable mental health strategies in schizophrenia and ASD, conditions with major societal impact.

Zebrafish Neuroendocrinology Habenula

Project Description

Project Overview

This project establishes hiPSC lines from ethnically diverse Malaysian donors diagnosed with schizophrenia or ASD, along with matched controls. Using Australian-standard harmonisation, the project will differentiate cortical neurons and organoids for multi-omics profiling including genomics, transcriptomics, proteomics, and high-content imaging. The objective is to identify cellular and network phenotypes associated with these neuropsychiatric conditions.

What You Will Do

You will culture patient-derived hiPSC lines and employ molecular and imaging techniques to characterise neuronal phenotypes. Integrated analyses of multi-omics datasets will map disease-relevant modules such as synaptic signalling, connectivity, and neurotransmission. Comparative analyses between Malaysian and Australian cohorts will quantify shared and population-specific disease features. AI modelling will be applied for mechanism-driven therapeutic testing.

Expected Outcomes

Expected outputs include quality-controlled donor cell lines, standard operating procedures, interoperable multi-omics datasets, and candidate biomarkers. These outputs will feed into subsequent projects focused on therapeutic development. The project will provide robust human-relevant data to power AI-based mechanistic insights and improve neuropsychiatric disorder treatments.

Why This Matters

Neurodevelopmental disorders like schizophrenia and ASD have complex etiology with diverse presentations across populations. This research bridges gaps by integrating wet-lab and computational expertise to understand ethnic and population-specific disease mechanisms. It supports equitable mental health research with potential to inform effective, personalised therapeutics for major neuropsychiatric conditions.

Entry Requirements

Minimum academic qualification of First Class Honours (H1) or its equivalence (H1E) recognised by Monash University Malaysia. Strong background in neuroscience, stem cell biology, or bioinformatics with hands-on experience in cell culture, molecular techniques, or imaging preferred. Degrees in neuroscience, biotechnology, biomedical science, or bioinformatics are preferred.

How to Apply

Contact Assoc. Professor Satoshi Ogawa with your academic background and achievements to determine suitability. If a good fit, complete an Expression of Interest including a relevant research proposal. Eligible candidates will be invited to apply and may be selected for an interview in March 2026.

Eligibility

UK/Home
EU
International

Supervisor Profile

AP
Assoc Prof Satoshi Ogawa
Monash University Malaysia, Medicine and Health Sciences
4007 Citations
31 h-index
Google Scholar

Assoc Prof Satoshi Ogawa is based at Monash University Malaysia and focuses on neurobiology using molecular and cellular techniques, including zebrafish neuroendocrinology. His work investigates neuronal signaling and reproductive neuropeptides, with significant contributions to understanding GnRH and kisspeptin systems. His research integrates neurobiology and molecular approaches to study brain function and behavior.

Key Publications

2004 390 citations
Laser-captured single digoxigenin-labeled neurons of gonadotropin-releasing hormone types reveal a novel G protein-coupled receptor (Gpr54) during maturation in cichlid fish
2010 375 citations
Kisspeptin cells in the ewe brain respond to leptin and communicate with neuropeptide Y and proopiomelanocortin cells
2009 374 citations
Cloning and Expression of kiss2 in the Zebrafish and Medaka
2015 196 citations
The kiss/kissr Systems Are Dispensable for Zebrafish Reproduction: Evidence From Gene Knockout Studies
2015 170 citations
Role of serotonin in fish reproduction

Research Contributions

Identification and characterization of novel G protein-coupled receptors related to maturation in cichlid fish.
This enhances understanding of reproductive neuroendocrine regulation in fish species.
Demonstrated the role of kisspeptin cells in brain communication related to hormonal and metabolic signals such as leptin.
Provides insight into the neuroendocrine control of reproduction and energy balance.
Cloning and functional analysis of kisspeptin genes in zebrafish and medaka contributed to understanding their reproductive biology.
Advanced knowledge of reproductive mechanisms in teleost fish.
Discovered that the kiss/kissr systems are not essential for zebrafish reproduction through gene knockout studies.
Challenges the previously assumed crucial role of kisspeptin in fish reproduction, influencing future research directions.

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