A photo of Bruce Aronow.

Co-director, Computational Medicine Center

Professor, UC Department of Pediatrics

513-636-0263

513-636-2056

Biography & Affiliation

Biography

Dr. Aronow is a computational geneticist and developmental biologist. His group carries out analyses of many different kinds of data, develops algorithms, and builds websites and databases. These tools allow researchers from varying disciplines and backgrounds to analyze genetic and genomic data—either their own or that gathered from published sources—to better understand, model, and carry out new research about normal development and disease. His group is highly collaborative with clinical and basic researchers across a broad range of research projects encompassing many areas of biology and disease, including normal and abnormal development, in vivo and in vitro disease models, and large-scale clinical studies.

Data of interest includes genetic, genomic, proteomic, metabolomic, imaging, and therapeutic agent response measures. Recent areas of interest include large-scale clinical sample analyses, single cell-based dissection of developmental and disease tissues, and in vitro stem cell-based modeling of normal and disease-affected tissues including abnormal neurological, immunological, cardiac, and cancer tissues.

The lab’s recent efforts focus on predicting new therapeutic approaches based on disease mechanisms in the areas of inflammatory bowel disease, eosinophilic esophagitis, sickle cell anemia, cardiac development, and neurological and psychiatric diseases. His group is working on efforts to define the transcriptome of the developing kidney, lung and brain. They are using stem cell-derived cells and organoids to dissect mechanisms that underlie organ development and function as well as oncogenesis. They are also working to infer novel disease indications for known drugs by semantically linking drug action and disease mechanism relationships.

Academic Affiliation

Professor, UC Department of Pediatrics

Departments

Biomedical Informatics, Developmental Biology

Science Blog

Education

BS: Chemistry, Stanford University, Stanford, CA, 1976.

PhD: Biochemistry, University of Kentucky, Lexington, KY, 1986. 

Research Fellowship: Division of Basic Science Research, Cincinnati Children's Research Foundation, Cincinnati, OH, 1986-1989.

Publications

Selected Publication

Reconstructing differentiation networks and their regulation from time series single-cell expression data. Ding, J; Aronow, BJ; Kaminski, N; Kitzmiller, J; Whitsett, JA; Bar-Joseph, Z. Genome Research. 2018; 28:383-395.

Transcriptional risk scores link GWAS to eQTLs and predict complications in Crohn's disease. Marigorta, UM; Denson, LA; Hyams, JS; Mondal, K; Prince, J; Walters, TD; Griffiths, A; Noe, JD; Crandall, WV; Rosh, JR; et al. Nature Genetics. 2017; 49:1517-1521.

The complex genetics of hypoplastic left heart syndrome. Liu, X; Yagi, H; Saeed, S; Bais, AS; Gabriel, GC; Chen, Z; Peterson, KA; Li, Y; Schwartz, MC; Reynolds, WT; et al. Nature Genetics. 2017; 49:1152-1159.

Single-cell analysis of mixed-lineage states leading to a binary cell fate choice. Olsson, A; Venkatasubramanian, M; Chaudhri, VK; Aronow, BJ; Salomonis, N; Singh, H; Grimes, HL. Nature. 2016; 537:698-702.

Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data. Sarangdhar, M; Tabar, S; Schmidt, C; Kushwaha, A; Shah, K; Dahlquist, JE; Jegga, AG; Aronow, BJ. Nature Biotechnology. 2016; 34:697-700.

Integrated Genomic Analysis of Diverse Induced Pluripotent Stem Cells from the Progenitor Cell Biology Consortium. Salomonis, N; Dexheimer, PJ; Omberg, L; Schroll, R; Bush, S; Huo, J; Schriml, L; Sui, SH; Keddache, M; Mayhew, C; et al. Stem Cell Reports. 2016; 7:110-125.

Elimination of the fibrinogen integrin aMb2-binding motif improves renal pathology in mice with sickle cell anemia. Nasimuzzaman, M; Arumugam, PI; Mullins, ES; James, JM; Vanden Heuvel, K; Narciso, MG; Shaw, MA; McGraw, S; Aronow, BJ; Malik, P. Blood Advances. 2019; 3:1519-1532.

Single-Cell Transcriptomics Uncovers Glial Progenitor Diversity and Cell Fate Determinants during Development and Gliomagenesis. Weng, Q; Wang, J; Wang, J; He, D; Cheng, Z; Zhang, F; Verma, R; Xu, L; Dong, X; Liao, Y; et al. Cell Stem Cell. 2019; 24:707-723.e8.

Single-cell RNA sequencing identifies inflammatory tissue T cells in eosinophilic esophagitis. Wen, T; Aronow, BJ; Rochman, Y; Rochman, M; Kiran, KC; Dexheimer, PJ; Putnam, P; Mukkada, V; Foote, H; Rehn, K; et al. Journal of Clinical Investigation. 2019; 129:2014-2028.

Single cell RNA sequencing reveals regional heterogeneity of hepatobiliary innate lymphoid cells in a tissue-enriched fashion. Peters, AL; Luo, Z; Li, J; Mourya, R; Wang, Y; Dexheimer, P; Shivakumar, P; Aronow, B; Bezerra, JA. PLoS ONE. 2019; 14:e0215481-e0215481.