Computer Science Department Colloquium
The versatile platelet: a bridge to translational medicine
Thursday, September 28, 2023, 10:30am - 11:30am
Speaker: Anandi Krishnan
Anandi Krishnan is a translational scientist and principal investigator at Stanford University School of Medicine. Dr. Krishnan’s current research focuses on transcriptional and epigenetic mechanisms of blood cell function and dysfunction in human disease. In particular, she is interested in expanding our understanding of the multifaceted function of blood platelets in cancer, inflammation, or immunity, beyond their classical role in hemostasis and thrombosis. Her work integrates omics-based discovery (from large clinical cohorts) with experimental and computational systems biology approaches toward a deeper understanding of disease mechanisms, risk stratification, and novel therapeutic strategies. Recent findings have outlined a number of heretofore unrecognized platelet mechanisms that are central to platelet response in disease.
Her interest in the field was primarily influenced by her experiences at the Duke Translational Research Institute, studying RNA-based aptamer-antidote molecules for antithrombotic therapy (laboratory of Drs. Bruce Sullenger, PhD and Richard Becker, MD) and her doctoral work at Penn State Biomedical Engineering (with Dr. Erwin Vogler, PhD) establishing the biophysical mechanisms of contact activation in blood coagulation. Funding for Anandi’s research includes her current NIH NHGRI genomic medicine career development award, MPN Research Foundation Challenge grant, multiple Stanford internal awards and NIH NCATS diversity/research re-entry award.
Location : Core 301
Event Type: Computer Science Department Colloquium
Abstract: Evolving evidence suggests that blood platelets have cross-functional roles beyond their traditional function in hemostasis, and therefore, that their molecular signatures may be altered in diverse settings of cancer, heart disease, metabolic or neurogenerative disorders. This lecture will present recent data from multi-omic profiling of platelets from patients with chronic bone marrow disorders (myeloproliferative neoplasms). Emphasis will be on demonstrating the translational relevance of platelet-omics and systems biology approaches, and their possible bench-to-bedside utility in patient care. Methods of platelet RNA/protein sequencing and associated analyses, and application of predictive machine learning algorithms will be discussed. Extending this work on omics-based discovery to ongoing and future research on molecular, cellular, and computational validation approaches will also be discussed.
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