The goal of the Systems Biology Core is to design and implement high-throughput experimental strategies for genomic, proteomic, and lipidomic analysis to support all of the Projects within the program. Genomic analysis will utilize a variety of cutting edge global technologies including RNA sequencing, genome-wide localization analysis, and multiplexed microfluidic-based real-time PCR. The proteomics component of this Core will employ sophisticated quantitative mass spectrometry techniques including novel isotopic labeling and selective-reaction-monitoring methods. Lipid species will be quantitatively assessed by mass spectrometry. Systems biology approaches require the tight integration of global measurement technologies with computational and bioinformatic analysis. The Systems Biology Core will therefore be tightly aligned with the Bioinformatics Core, which will share responsibility for management, integration, and analysis of the data. High throughput genomic, proteomic, and lipidomic technologies continue to evolve rapidly in terms of sensitivity, coverage, and cost. The Core has considerable knowledge and experience in selecting, evaluating, and rapidly implementing appropriate novel technologies to achieve the goals of each research project. Critical to this is the development of efficient and robust analysis approaches that leverage tools, developed both in the wider scientific community and in house, and are tailored to the specific biological questions under study. The Systems Biology Core has access to all facilities and resources at Seattle BioMed and at the Institute for Systems Biology (ISB), which Dr. Aderem co-founded and led for 10 years. The legal strategic partnership between the two organizations has resulted in the integration of all facilities and has essentially transformed Seattle BioMed into an Institute for Systems Biology and Infectious Disease.

Public Health Relevance

Systems biology, as opposed to traditional approaches, provides a holistic view of the body. This allows us to understand how all the components of the immune system cooperate to combat infectious disease. This understanding will lead to novel vaccines and drugs.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
1U19AI100627-01
Application #
8370111
Study Section
Special Emphasis Panel (ZAI1-QV-I (M3))
Project Start
Project End
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
1
Fiscal Year
2012
Total Cost
$822,747
Indirect Cost
$43,100
Name
Scripps Research Institute
Department
Type
DUNS #
781613492
City
La Jolla
State
CA
Country
United States
Zip Code
92037
Anchang, Benedict; Davis, Kara L; Fienberg, Harris G et al. (2018) DRUG-NEM: Optimizing drug combinations using single-cell perturbation response to account for intratumoral heterogeneity. Proc Natl Acad Sci U S A 115:E4294-E4303
Good, Zinaida; Sarno, Jolanda; Jager, Astraea et al. (2018) Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse. Nat Med 24:474-483
McAlpine, William; Sun, Lei; Wang, Kuan-Wen et al. (2018) Excessive endosomal TLR signaling causes inflammatory disease in mice with defective SMCR8-WDR41-C9ORF72 complex function. Proc Natl Acad Sci U S A 115:E11523-E11531
Morin, Matthew D; Wang, Ying; Jones, Brian T et al. (2018) Diprovocims: A New and Exceptionally Potent Class of Toll-like Receptor Agonists. J Am Chem Soc 140:14440-14454
Johnson, Jarrod S; Lucas, Sasha Y; Amon, Lynn M et al. (2018) Reshaping of the Dendritic Cell Chromatin Landscape and Interferon Pathways during HIV Infection. Cell Host Microbe 23:366-381.e9
Goltsev, Yury; Samusik, Nikolay; Kennedy-Darling, Julia et al. (2018) Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging. Cell 174:968-981.e15
Wagle, Mayura V; Marchingo, Julia M; Howitt, Jason et al. (2018) The Ubiquitin Ligase Adaptor NDFIP1 Selectively Enforces a CD8+ T Cell Tolerance Checkpoint to High-Dose Antigen. Cell Rep 24:577-584
Wang, Tao; Bu, Chun Hui; Hildebrand, Sara et al. (2018) Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database. Nat Commun 9:441
Burns, Tyler J; Frei, Andreas P; Gherardini, Pier F et al. (2017) High-throughput precision measurement of subcellular localization in single cells. Cytometry A 91:180-189
Burnett, Deborah L; Parish, Ian A; Masle-Farquhar, Etienne et al. (2017) Murine LRBA deficiency causes CTLA-4 deficiency in Tregs without progression to immune dysregulation. Immunol Cell Biol 95:775-788

Showing the most recent 10 out of 121 publications