Bruce J Aronow, Ph.D.

bruce

Bruce J Aronow, Ph.D.

Co-director, Computational Medicine Center
Professor, UC Department of Pediatrics











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Brief Biography

As a computational biologist who gets involved in a variety of disease-centered projects, I greatly enjoy being able to work collaboratively with investigators and students who are experts and investigators in specific disciplines, and do so in ways that strengthen our team and enable us all to expand and contribute our expertise, ideas, and impact.  My passion is to carry out analyses that integrate data and knowledge using quantitative patterns and interactions-based approaches with the overarching goal of seeing or inferring key mechanisms that give insights and hypotheses about underlying causes and solutions to disease.  Doing this requires that we employ methods for dataset analyses that take advantage of all of what is already known about every gene, pathway, and biological process in each context, and then to prioritize genes and relationships in new specific data-driven contexts to identify the most significant mechanisms that are present.  Currently I am involved in several large scale efforts to enhance knowledge of developmental biology and disease using a variety of approaches to cell, developmental, and disease model profiling using single cell and transgene labeled engineered mice mouse human induced pluripotent cells (NHLBI PCBC), ongoing Genomic Atlases (over 4000 samples of normal and disease-affected mouse and human samples and gene signatures, particularly all of NIDCR Facebase I, NIDDK  Genitourinary Systems Development GUDMAP, the NHLBI PCBC human stem cells datasets, as well as mouse and human bodymap atlases and ENCODE data sets) of cell type specific—and now single cell based gene expression profile datasets that can allow us to translate between genetics, biology, animal model systems and human disease therapeutics.  I have expertise in doing this with many different kinds of data, in particular that from genetic, genomic, biochemical and phenotype analyses, and I try to improve or create, or challenge my colleagues and students to develop new understandings of biological processes and systems using these approaches, identifying gene functional networks that interact at many levels within complex systems, and are responsible for normal and abnormal development, differentiation, and response to disease factors. 

Dancing with your genes! Learning about Human locomotion control from genomic systems biology gene networks