The STMC Data Analysis and Informatics Core has three principal goals: 1) to improve the mathematical and statistical analysis of quantitative image data generated through both electron and fluorescence microscopy in order to test predicitive models linking membrane organization and dynamics to the control of signaling;2) to provide expertise and computational resources in information acquisition, representation, storage and exchange;and 3) to facilitate sharing and dissemination of STMC-generated data and models. The Data Analysis and Informatics Core will contribute to the state-of-the-art for biomedical image storage, retrieval and analysis and will integrate image data with biological pathways and networks data and with mathematical and statistical models. The STMC Data Anaysis and Informatics Core will operate as a subcore of the CRTC's Bioinformatics and Computational Biology Core (BCB) and will have full access to the expertise and effort of its Director, Dr. Susan Atlas, and professional staff. Through this arrangement, STMC users access a highly functional computational core at a small fraction of its actual cost. The resource is physically located in the UNM Center for High Performance Computing (CHPC), a campus wide facility for computing and data base management and development. As one of five resident Resources of the CHPC, the BCB has highest priority access to its hardware that includes an 8-processor parallel Oracle server, Delphi, a 512-processor Linux supercluster and a new (2005) 20-processor shared-memory IBM supercomputer. The resource has an additional 220 nsf office on the first floor of CRF (immediately below the STMC administrative office) that provides office space and computers for consultation and interactive research. Images of live and fixed cells, including time series images, are critical tools for the biology driving several STMC projects. Initial research will therefore focus on developing, improving and populating image databases and on upgrading an interoperable environment to represent, store, retrieve and share these images among the researchers. The core will additionally provide links to pathways data bases and it will import new bioinformatics and computational biology approaches to the quantitative analysis and modeling of cell signaling and image analysis data established by other groups and centers. Additionally, it will disseminate STMC models and codes to other users.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Specialized Center (P50)
Project #
Application #
Study Section
Special Emphasis Panel (ZGM1-CBCB-4)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of New Mexico Health Sciences Center
United States
Zip Code
Chylek, Lily A; Akimov, Vyacheslav; Dengjel, Jörn et al. (2014) Phosphorylation site dynamics of early T-cell receptor signaling. PLoS One 9:e104240
Chylek, Lily A; Harris, Leonard A; Tung, Chang-Shung et al. (2014) Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems. Wiley Interdiscip Rev Syst Biol Med 6:13-36
Wu, Meiye; Piccini, Matthew E; Singh, Anup K (2014) MiRNA detection at single-cell resolution using microfluidic LNA flow-FISH. Methods Mol Biol 1211:245-60
Itano, Michelle S; Graus, Matthew S; Pehlke, Carolyn et al. (2014) Super-resolution imaging of C-type lectin spatial rearrangement within the dendritic cell plasma membrane at fungal microbe contact sites. Front Phys 2:
Lund, Troy C; Patrinostro, Xiaobai; Kramer, Ashley C et al. (2014) sdf1 Expression reveals a source of perivascular-derived mesenchymal stem cells in zebrafish. Stem Cells 32:2767-79
Liu, Sheng; Lidke, Keith A (2014) A multiemitter localization comparison of 3D superresolution imaging modalities. Chemphyschem 15:696-704
Steinkamp, Mara P; Low-Nam, Shalini T; Yang, Shujie et al. (2014) erbB3 is an active tyrosine kinase capable of homo- and heterointeractions. Mol Cell Biol 34:965-77
Westrate, Laura M; Drocco, Jeffrey A; Martin, Katie R et al. (2014) Mitochondrial morphological features are associated with fission and fusion events. PLoS One 9:e95265
Valley, Christopher C; Lidke, Keith A; Lidke, Diane S (2014) The spatiotemporal organization of ErbB receptors: insights from microscopy. Cold Spring Harb Perspect Biol 6:
Jerman, Stephanie; Ward, Heather H; Lee, Rebecca et al. (2014) OFD1 and flotillins are integral components of a ciliary signaling protein complex organized by polycystins in renal epithelia and odontoblasts. PLoS One 9:e106330

Showing the most recent 10 out of 50 publications