Imaging Cytometry and Microfluidics (ICM) core I (Ozinsky) Overview. The core was established by the Center to provide the resources for automated high-throughput imaging experiments on live cells along with cell purification and analysis. We have contributed to research resulting in 13 publications and two patent applications involving the analysis of cells across bacterial, yeast and mammalian systems. This has included projects for the purification and analysis of single cells, large-scale imaging screens, analysis of subcellular dynamics, and the development of new methods devices and computational tools. The core is staffed by a director, full-time manager,and a full-time technician, and has open access to state-of-the-art microscopy, cytometry, and microfluidics (see Resources). The core provides comprehensive training for users to operate equipment independently, and maintains a website with manuals and protocols to ensure standardized procedures. The ICM core has integrated control of microscopes, fluidics, image acquisition and analysis under Lab-VIEW (National Instruments) and MatLab (MathWorks). Three cell culture incubators are available to enable time-lapse/live-cell imaging on these workstations. Our dedicated clean room has a variety of soft lithography equipment including: a PDMS pre polymer mixer, a spin-coater, a dissection microscope for PDMS device layer alignment, a vacuum dessicator, PDMS punches, and a dedicated 80?C convection oven. Further, we have established an annual three-day Microfluidics course to teach the fundamental skills for PDMS design, fabrication, and operation (see Education and Training Plan).

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076547-08
Application #
8735163
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
8
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Institute for Systems Biology
Department
Type
DUNS #
City
Seattle
State
WA
Country
United States
Zip Code
98109
Deutsch, Eric W; Csordas, Attila; Sun, Zhi et al. (2017) The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition. Nucleic Acids Res 45:D1100-D1106
Turkarslan, Serdar; Raman, Arjun V; Thompson, Anne W et al. (2017) Mechanism for microbial population collapse in a fluctuating resource environment. Mol Syst Biol 13:919
Sen, Payel; Luo, Jie; Hada, Arjan et al. (2017) Loss of Snf5 Induces Formation of an Aberrant SWI/SNF Complex. Cell Rep 18:2135-2147
Joesch-Cohen, Lena M; Glusman, Gustavo (2017) Differences between the genomes of lymphoblastoid cell lines and blood-derived samples. Adv Genomics Genet 7:1-9
Zuck, Meghan; Austin, Laura S; Danziger, Samuel A et al. (2017) The Promise of Systems Biology Approaches for Revealing Host Pathogen Interactions in Malaria. Front Microbiol 8:2183
Kessler, Anne; Dankwa, Selasi; Bernabeu, Maria et al. (2017) Linking EPCR-Binding PfEMP1 to Brain Swelling in Pediatric Cerebral Malaria. Cell Host Microbe 22:601-614.e5
Baker, Qanita Bani; Podgorski, Gregory J; Vargis, Elizabeth et al. (2017) A computational study of VEGF production by patterned retinal epithelial cell colonies as a model for neovascular macular degeneration. J Biol Eng 11:26
Herricks, Thurston; Mast, Fred D; Li, Song et al. (2017) ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth. J Vis Exp :
Michalik, Stephan; Depke, Maren; Murr, Annette et al. (2017) A global Staphylococcus aureus proteome resource applied to the in vivo characterization of host-pathogen interactions. Sci Rep 7:9718
Cromie, Gareth A; Tan, Zhihao; Hays, Michelle et al. (2017) Transcriptional Profiling of Biofilm Regulators Identified by an Overexpression Screen in Saccharomyces cerevisiae. G3 (Bethesda) 7:2845-2854

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