Abstract

SHARED RESOURCE CORE CRUMP PRECLINICAL IMAGING TECHNOLOGY CENTER ABSTRACT: The Crump Preclinical Imaging Technology Center will provide comprehensive support for the in vivo imaging studies carried out in the NSBCC projects. Under the direction of Core Director Dr. Michael Phelps, the Imaging Center is comprised of two other faculty, Dr. Arion Hadjioannou and Dr. Jason Lee, and one full-time staff member. All faculty members have extensive experience and recognition in preclinical molecular imaging. The Imaging Center will provide all radio-labeled probes, perform all microPET and CT studies, and data analysis. In addition, they will provide support and training to investigators, including animal preparation and monitoring, quality control and the strictest safety measures. The goal of the Shared Resource Core is to provide advanced molecular imaging support to assess the kinetics of tumor metabolism and therapeutic outcome in response to therapeutic intervention. These experiments will consist of highly-controlled, serially- acquired PET and CT scans for both functional and anatomical assessment, respectively. Since the PET radio- labeled probe used is also widely available in the clinic, the preclinical imaging data acquired by the Shared Resource Core can be translated as biomarkers for evaluation of treatment response in patients.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA199090-06
Application #
9753716
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2019-08-01
Budget End
2020-07-31
Support Year
6
Fiscal Year
2019
Total Cost
Indirect Cost

  Institution

Name
Institute for Systems Biology
Department
Type
DUNS #
135646524
City
Seattle
State
WA
Country
United States
Zip Code
98109

  Publications

Sibener, Leah V; Fernandes, Ricardo A; Kolawole, Elizabeth M et al. (2018) Isolation of a Structural Mechanism for Uncoupling T Cell Receptor Signaling from Peptide-MHC Binding. Cell 174:672-687.e27
Xu, Alexander M; Liu, Qianhe; Takata, Kaitlyn L et al. (2018) Integrated measurement of intracellular proteins and transcripts in single cells. Lab Chip 18:3251-3262
Mai, Wilson X; Gosa, Laura; Daniels, Veerle W et al. (2017) Cytoplasmic p53 couples oncogene-driven glucose metabolism to apoptosis and is a therapeutic target in glioblastoma. Nat Med 23:1342-1351
Su, Yapeng; Shi, Qihui; Wei, Wei (2017) Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization, and analysis. Proteomics 17:
Tang, Yin; Wang, Zhuo; Li, Ziming et al. (2017) High-throughput screening of rare metabolically active tumor cells in pleural effusion and peripheral blood of lung cancer patients. Proc Natl Acad Sci U S A 114:2544-2549
Su, Yapeng; Wei, Wei; Robert, Lidia et al. (2017) Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance. Proc Natl Acad Sci U S A 114:13679-13684
Lu, Yao; Yang, Liu; Wei, Wei et al. (2017) Microchip-based single-cell functional proteomics for biomedical applications. Lab Chip 17:1250-1263
Mukherjee, Arnab; Davis, Hunter C; Ramesh, Pradeep et al. (2017) Biomolecular MRI reporters: Evolution of new mechanisms. Prog Nucl Magn Reson Spectrosc 102-103:32-42
Wei, Wei; Shin, Young Shik; Xue, Min et al. (2016) Single-Cell Phosphoproteomics Resolves Adaptive Signaling Dynamics and Informs Targeted Combination Therapy in Glioblastoma. Cancer Cell 29:563-573
Kravchenko-Balasha, Nataly; Johnson, Hannah; White, Forest M et al. (2016) A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes. J Phys Chem B 120:5990-7

Showing the most recent 10 out of 21 publications