Traditional cancer research involves the study of cancer biology at the cellular, organ, and systemic level. In light of the technological developments in engineering, physics, lasers, imaging systems, biosensing and bioMEMS devices, advanced microscopy systems, drug delivery systems and nanotechnology, the Biomedical Technology Program (BTP) is organized with the goals of capitalizing on the tools and technologies developed by engineering and physical scientists by applying these devices and concepts towards the overall reduction of cancer morbidity and mortality. Currently, the BTP incorporates five scientific themes that capture the breadth of expertise and technologies available to the program. The five themes are: (1) Research and Diagnostic Technologies, (2) Technologies for Whole Body/Organ Imaging, (3) Technologies for Cancer Therapy, (4) Biomarker Discovery and Development, and (5) Biosensing Technologies. The BTP has 34 members with expertise across broad areas of engineering science, physical science and medical science. The BTP includes members from eleven different research and academic departments and four different schools and research centers at UC Davis and Lawrence Livermore National Laboratory (LLNL). This includes the College of Engineering (in particular the Departments of Biomedical Engineering and Mechanical and Aeronautical Engineering), the School of Medicine (in particular Radiology, Radiation Oncology, Internal Medicine, General Surgery, Neurological Surgery), the School of Veterinary Medicine, and LLNL. The BTP also includes members who are primarily clinicians, who play an important role in ensuring the program is addressing cancer-relevant questions, and a critical role in helping technical members of the program move new technologies into successful early phase clinical testing in patients. Thus, the expertise of our members spans a wide range of scientific disciplines and fields bridging from the engineering and physical sciences to the medical and veterinary sciences. PROGRAM ASPECTS Co-leaders: Simon Cherry, PhD; Laura Marcu, PhD Members: 34 Total Grant Funding (ADC): $7.8 million Total Peer-Reviewed Funding (ADC): $7.2 million Total NCI funding (ADC): $3.0 million Total No. Publications: 644 Inter-programmatic publications: 235 (37%) Intra-programmatic publications: 121 (19%) Multi-institutional publications: 262 (41%)

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA093373-18
Application #
9993310
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
18
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California Davis
Department
Type
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Campbell, Mel; Watanabe, Tadashi; Nakano, Kazushi et al. (2018) KSHV episomes reveal dynamic chromatin loop formation with domain-specific gene regulation. Nat Commun 9:49
Vogel Ciernia, Annie; Careaga, Milo; LaSalle, Janine M et al. (2018) Microglia from offspring of dams with allergic asthma exhibit epigenomic alterations in genes dysregulated in autism. Glia 66:505-521
Li, Peng-Cheng; Tu, Mei-Juan; Ho, Pui Yan et al. (2018) Bioengineered NRF2-siRNA Is Effective to Interfere with NRF2 Pathways and Improve Chemosensitivity of Human Cancer Cells. Drug Metab Dispos 46:2-10
Lucchesi, Christopher A; Zhang, Jin; Ma, Buyong et al. (2018) Disruption of the Rbm38-eIF4E complex with a synthetic peptide Pep8 increases p53 expression. Cancer Res :
Kiuru, Maija; Tartar, Danielle M; Qi, Lihong et al. (2018) Improving classification of melanocytic nevi: Association of BRAF V600E expression with distinct histomorphologic features. J Am Acad Dermatol 79:221-229
Pargett, Michael; Albeck, John G (2018) Live-Cell Imaging and Analysis with Multiple Genetically Encoded Reporters. Curr Protoc Cell Biol 78:4.36.1-4.36.19
Fishman, Scott M; Carr, Daniel B; Hogans, Beth et al. (2018) Scope and Nature of Pain- and Analgesia-Related Content of the United States Medical Licensing Examination (USMLE). Pain Med 19:449-459
Lewis, Daniel D; Chavez, Michael; Chiu, Kwan Lun et al. (2018) Reconfigurable Analog Signal Processing by Living Cells. ACS Synth Biol 7:107-120
Braithwaite, Dejana; Miglioretti, Diana L; Zhu, Weiwei et al. (2018) Family History and Breast Cancer Risk Among Older Women in the Breast Cancer Surveillance Consortium Cohort. JAMA Intern Med 178:494-501
Unger, Jakob; Sun, Tianchen; Chen, Yi-Ling et al. (2018) Method for accurate registration of tissue autofluorescence imaging data with corresponding histology: a means for enhanced tumor margin assessment. J Biomed Opt 23:1-11

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