.jpg "Syed M. Faisal, PhD photo")
University of Michigan Medical School
Ann Arbor, United States
Faisal completed his B.S in Biotechnology from JMI, New Delhi, India. He then pursued an education at the Interdisciplinary Biotechnology Unit, AMU, India, first with an M.S in Biotechnology, followed by a Ph.D. in Molecular Immunology. Faisal joined the University of Michigan Medical School in March 2019 as a Research Fellow to elucidate the innate immune mechanisms of malignant brain tumors. His research demonstrated the existence of a novel miR1983-TLR7-IFNβ circuit that licenses NK cells to kill glioma cells and is under the control of galectin-1. The team recently introduced the concept of oncostreams to elucidate the functions and molecular mechanisms underlying the mesenchymal transformation of self-organized dynamic patterns of malignant gliomas. Faisal’s specific research in this project focuses on unraveling the role of collagen signaling and its receptors in glioma oncostreams. Faisal is also investigating the molecular mechanisms underlying self-organization and networks in brain tumors to uncover novel therapeutic targets by employing intravital imaging using laser scanning multi-photon microscopy and ex vivo time-lapse confocal microscopy on 3D explants models of glioma. The long-term goal of his research is to determine potential targets that control brain tumors’ mesenchymal transformation and their interactions with the tumor microenvironment that contribute to intra-tumoral heterogeneity and glioma aggressiveness, and ultimately translate these experimental findings into future clinical therapies.”
Expertise in Intravital Microscopy of brain tumors in live mice using Multiphoton Laser Scanning Microscope (Bruker), Confocal Laser Scanning Microscopy, FACS, MACS, developing genetically engineered mouse models using sleeping beauty transposon system, Phospho-proteome Explorer Microarray Assays and analysis (Full Moon BioSystems - Protein Expression Profiling) Immunohistochemistry, Immunocytochemistry, Mathematical modeling using MATLAB, Julia Programming, and RStudio and Multiplex Immunofluorescence Spatial Phenotyping using Qupath and CytoMap (Akoya Biosciences: The Spatial Biology Company).