School of Medicine
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Lei (Stanley) Qi
Associate Professor of Bioengineering
BioDr. Lei (Stanley) Qi is an Associate Professor in the Department of Bioengineering at Stanford University, an Institute Scholar at Sarafan ChEM-H, and an Investigator at the Chan Zuckerberg Biohub. He earned his B.S. in Physics and Mathematics from Tsinghua University and his Ph.D. in Bioengineering from the University of California, Berkeley. Before joining the Stanford faculty in 2014, Dr. Qi was a Systems Biology Fellow at UCSF.
Dr. Qi is a pioneer in the development of CRISPR technologies for precise genome and epigenome engineering. His lab created the first nuclease-deactivated Cas9 (dCas9) for targeted gene regulation, establishing the fields of CRISPR interference (CRISPRi) and activation (CRISPRa). The Qi lab continues to expand this versatile toolbox, inventing new technologies for multiplexed transcriptome engineering (MEGA), 3D genome manipulation (CRISPR-GO), and live-cell imaging. Recent innovations include Live-FISH and Oligo-LiveFISH, a technology for capturing enhancer-promoter interactions in real-time, and the development of ultra-compact CRISPR systems, culminating in the clinical translation of CasMINI for neuromuscular diseases.
Leveraging this suite of bespoke technologies, Dr. Qi's group makes key discoveries at the intersection of synthetic biology, epigenetics, and medicine. His lab has illuminated the synergistic functions of enhancer elements in cancer, and by using transcriptome perturbation in T cells, has identified novel metabolic pathways that can be targeted to enhance tumor killing. A landmark achievement using CRISPR-TO to manipulate the spatial transcriptome in cortical neurons led to the discovery of novel RNA localization patterns that promote neuronal growth by 50%.
The Qi lab is currently focused on three major research frontiers:
1.Therapeutic epigenome editing: Developing next-generation epigenetic editors as novel therapeutics for modulating the immune system, treating brain disorders, and reversing hallmarks of aging.
2.Functional spatial transcriptomics: Unraveling the functional roles of spatial RNA organization in physiology and disease, and how its misregulation drives pathology.
3.Fundamental genome biology: Deploying advanced live-cell chromatin and RNA imaging and computational tools such as AI and machine learning to understand the first principles governing 3D genome regulation, transcription, and epigenetic memory. -
Xiaojie Qiu
Assistant Professor of Genetics and, by courtesy, of Computer Science
Current Research and Scholarly InterestsAt the Qiu Lab, our mission is to unravel and predict the intricacies of gene regulatory networks and cell-cell interactions pivotal in mammalian cell fate transitions over time and space, with a special emphasis on heart evolution, development, and disease. We are a dynamic and interdisciplinary team, harnessing the latest advancements in machine learning as well as single-cell and spatial genomics by integrating the predictive power of systems biology with the scalability of machine learning,
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Thomas Quertermous, MD
William G. Irwin Professor of Cardiovascular Medicine
Current Research and Scholarly InterestsUnderstanding genetic basis of cardiovascular function and disease.
