Omics

Jared Churko

Assistant Professor, Cellular and Molecular Medicine
Director, iPS Cell Core
Assistant Professor, Biomedical Engineering
Assistant Professor, Genetics - GIDP
Assistant Professor, Physiological Sciences - GIDP
Member of the Graduate Faculty
Assistant Professor, BIO5 Institute
Primary Department
Contact
(520) 626-2347

Research Interest

The BIO5 is the most influential cross collaborative initiative at the University of Arizona. Being a part of the BIO5 opens opportunities to collaborate within scientific fields outside of my specialty and promotes both academic and industrial partnerships. With my background in single-cell transcriptomics, hiPSC technology and heart disease, I hope to share my knowledge and learn from other BIO5 members. In becoming a member of BIO5, I aspire to enhance my research program an ultimately, make life changing discoveries.

David A Kudrna

Coordinator, Bac/Est Resource Center
Primary Department
Department Affiliations
Contact
(520) 626-9596

Work Summary

We are a plant genomics lab who specialize in whole genome sequencing and assembly; with analyses of structural variation, gene modeling and transcriptomes. Our work on major projects of rice, corn, barley, etc, allows us to share our technical expertise with other researchers.

Research Interest

We are a plant genomics lab who specialize in whole genome sequencing and assembly; with analyses of structural variation, gene modeling and transcriptomes. Our work on major projects of rice, corn, barley, etc, allows us to share our technical expertise with other researchers. Our research in plant and animal genomes, at the whole genome and transcriptome levels, will impact successful genetic selections toward the goal of feeding the 9 billion people toward the year 2050. Keywords: "Genome Sequencing", "PacBio", "Structural Genomics", "Plant Genetics", "DNA Extraction"

Frederic Zenhausern

Director, Center for Applied NanoBioscience and Medicine
Professor, Basic Medical Sciences
Professor, Radiation Oncology
Professor, Biomedical Engineering
Professor, Clinical Translational Sciences
Director, Program Development and Implementation
Professor, BIO5 Institute
Member of the General Faculty
Member of the Graduate Faculty
Contact
(602) 827-2051

Work Summary

Our research approaches apply a combination of advances in nanoscience, molecular biology and omics to a new generation of biological tools and sensors based on nano and microscale technologies for breakthrough applications in healthcare delivery.

Research Interest

Dr. Zenhausern research interests encompass multiple scientific themes combining engineering and medicine to develop platform technologies with global impact for improving human life and the delivery systems of more comprehensive and personalized cares. In alignment with the fourth industrial revolution, Zenhausern and his team at the Center for Applied Nanobioscience and Medicine (ANBM) provides an interdisciplinary framework for advancing technological innovation from discoveries to medical products by partnering with governmental, clinical and industrial institutions across the globe, while training the next generation of students and professionals. Keywords: Technology Platforms Development; Integrated Biomedical Systems

Carol A Soderlund

Research Associate Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 626-9600

Research Interest

Carol Soderlund, PhD, is an Associate Research Professor at the BIO5 Institute at the University of Arizona. While working on her PhD in Computer science in 1988, she collaborated with a biologist to develop one of the first gene prediction programs. She received a DOE Human Genome Distinguished Postdoctoral Fellowship hosted by Los Alamos National Laboratory, where she became involved with mapping the human genome. Her work continued at the Sanger Centre in the UK, which was on the forefront of sequencing the human genome. She developed the FPC software, which was used for mapping the human genome, and has since been the primary software package for mapping large genomes.Her primary research objective is to provide environments for biologists to run algorithms (both her own and existing software), with highly interactive graphics for query and display of the data and results. Towards this end, she has published seven software packages for various genomic problems, where the three most important are: (1) The FPC program mentioned above, which is still being used after its initial release 15 years ago and has been extended for next generation sequencing. (2) The SyMAP software for the computation, query and display for synteny for the comparison of plant genomes. (3) The Transcriptome Computational Workbench (TCW) for the analysis of the transcriptome across tissues or conditions, and across the species for finding shared and unique genes.Dr. Soderlund has published over 60 original research papers and 20 book chapters on a range of genomic problems. She has collaborated with a range of scientists on a variety of organisms and genomic problems, where the majority of the collaborations have been on mapping genomes and transcriptome analysis, but she has also been involved in metagenomics, sequencing, and host-pathogen interactions.

Todd A Schlenke

Associate Professor, Entomology
Associate Professor, Entomology / Insect Science - GIDP
Associate Professor, Ecology and Evolutionary Biology
Associate Professor, Molecular and Cellular Biology
Associate Professor, Genetics - GIDP
Associate Professor, Neuroscience - GIDP
Associate Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 621-7167

Research Interest

Dr. Schlenke's research program uses fruit flies in the genus Drosophila to understand the evolutionary genetics of host-parasite interactions. For example, his lab has developed several species of parasitic wasps, which are readily observed infecting Drosophila in nature and can be very specialized to particular host species, as model parasites. These wasps lay single eggs in Drosophila larvae and, once hatched, consume flies from the inside out. Flies mount cellular and behavioral defense responses against wasps, but wasps have adaptations for finding host fly larvae, suppressing host cellular immunity, and manipulating host behavior. The Schlenke lab uses a variety of "omics" tools to understand the molecular genetics of fly cellular immunity and wasp virulence, as well as patterns of host immunity and pathogen virulence coevolution across fly and wasp phylogenies. The Schlenke lab also studies the genetics and neurobiology of behaviors that flies use to avoid being infected by the wasps and to cure themselves once they are infected, including various self-medication behaviors.

Bonnie L Hurwitz

Assistant Professor, Agricultural-Biosystems Engineering
Assistant Professor, Genetics - GIDP
Assistant Professor, Statistics-GIDP
Clinical Instructor, Pharmacy Practice-Science
Assistant Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 626-9819

Work Summary

Our lab focuses on large-scale –omics datasets, high-throughput computing, and big data analytics. We leverage these technologies to answer questions related to the relationship between microbes, their hosts, and the environment. In particular, we focus on viral-host interactions and co-evolution given environmental factors (i) in aquatic systems and (ii) for phage treatment of diabetic foot ulcers.

Research Interest

Dr. Bonnie Hurwitz is an Assistant Professor of Biosystems Engineering at the University of Arizona and BIO5 Research Institute Fellow. She has worked as a computational biologist for nearly two decades on interdisciplinary projects in both industry and academia. Her research on the human/earth microbiome incorporates large-scale –omics datasets, high-throughput computing, and big data analytics towards research questions in “One Health”. In particular, Dr. Hurwitz is interested in the relationship between the environment, microbial communities, and their hosts. Dr. Hurwitz is well-cited for her work in computational biology in diverse areas from plant genomics to viral metagenomics with over 1200 citations

Ryan N Gutenkunst

Associate Department Head, Molecular and Cellular Biology
Associate Professor, Applied BioSciences - GIDP
Associate Professor, Applied Mathematics - GIDP
Associate Professor, Cancer Biology -
Associate Professor, Ecology and Evolutionary Biology
Associate Professor, Genetics - GIDP
Associate Professor, Molecular and Cellular Biology
Associate Professor, Public Health
Associate Professor, Statistics-GIDP
Associate Professor, BIO5 Institute
Member of the Graduate Faculty
Director, Graduate Studies
Primary Department
Contact
(520) 626-0569

Work Summary

We learn history from the genomes of humans, tumors, and other species. Our studies reveal how evolution works at the molecular level, offering fundamental insight into how humans and pathogens adapt to challenges.

Research Interest

The Gutenkunst group studies the function and evolution of the complex molecular networks that comprise life. To do so, they integrate computational population genomics, bioinformatics, and molecular evolution. They focus on developing new computational methods to extract biological insight from genomic data and applying those methods to understand population history and natural selection.

Andrew P Capaldi

Associate Professor, Molecular and Cellular Biology
Associate Professor, Genetics - GIDP
Associate Professor, BIO5 Institute
Member of the General Faculty
Member of the Graduate Faculty
Primary Department
Contact
(520) 626-9376

Research Interest

Andrew Capaldi, PhD, researches the signaling pathways and transcription factors in a cell that are organized into circuits. They allow cells to process information and make decisions. For Dr. Capaldi, the work arises in understanding both how these circuits are built from their components, and how they function and malfunction. To address these questions, he is working to reverse engineer the circuitry that controls cell growth in budding yeast using a combination of genomic, proteomic and computational methods. http://capaldilab.mcb.arizona.edu