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Deciphering Alzheimer's Disease

TCW Lab researchers are using BU's Shared Computing Cluster resources to better understand Alzheimer's disease functional genomics using human brain-in-a-dish models.

Julia TCW’s lab focuses on developing Alzheimer’s disease (AD) therapeutics using human induced pluripotent stem cells (iPSCs) and genetic methods. The work has three main goals: identifying genes in brain cells affected by AD, studying AD genetic mechanisms using iPSCs, iPSC/mouse chimera, and mouse models, and creating human brain models for drug screens.

In collaboration with the Functional Genomics Consortium (xQTL study) in the Alzheimer's Disease Sequencing Project, the lab analyzes large-scale genetic, epigenetic, and multi-omics data to uncover variants linked to methylation, histone modification, and multi-omics changes in the brain. They focus on understanding how AD genetic risks, especially APOE4, impact brain cells by using advanced computational, Artificial Intelligence, and experimental techniques. The TCW lab develops novel tools to integrate genetics, transcriptomics, proteomics, and other omics data to explore AD molecular pathways. They also collaborate with industry to find new drug targets, advancing both 2D and 3D brain cell models for drug discovery.

Julia TCW
Assistant Professor of Pharmacology, Physiology & Biophysics

Research projects

AI for Cancer Diagnosis
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
A Safer Way to See Inside Cells
Towards a Whole Brain Cellular Atlas
Quantum Computing in Renewable Energy Development
AI That Speaks Human About Health
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
FlowER: AI for Predicting Chemical Reactions
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Collaborative projects

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OUTREACH & EDUCATION PROJECTS

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