Outreach Systems Imaging: Applications in Immunology and Cancer

January 12, 13, 2012

Systems Imaging: Applications in Immunology and Cancer

The UNM Cancer Center

New technologies for biological sample preparation and for biological image acquisition and analysis have brought the spatial resolution of fluorescence microscopy into realms attained previously only by electron microscopy and have helped to transform both light and electron microscopy from descriptive to quantitative sciences. Analyses of the spatial distribution and dynamics of proteins in biological images can now reveal the spatiotemporal regulation of cell signaling pathways and begin to differentiate cancer cell phenotypes. Analyses of time-dependent changes in in situ gene expression pattern images can provide insight into gene network responses to receptor activation. EM tomography can be used to determine the architecture and dynamics of cytoskeletal machines within cells and tissues. The ability to mine the information in biological images at different scales of resolution and complexity is providing a deeper understanding of physiology and pathogenesis for the biomedical sciences as well as new research opportunities and challenges for computational and physical scientists and engineers.

Systems Imaging: Applications in Immunology and Cancer is a two-day exploration of the latest developments in five key research areas:

  • In vivo Imaging
  • Molecular and Cellular Imaging
  • Spatial Modeling from Bioimage Data
  • Bioimage Management and Informatics
  • Emerging Bioimaging Tools and Technologies

A truly outstanding group of nationally-recognized investigators will present their recent research, complemented by invited speakers from the New Mexico research community. A poster session will feature the work of faculty, postdocs and graduate students from all the New Mexico labs and universities and, hopefully, from neighboring states. The event is free, although registration is requested and attendance will be capped at 150 participants. All participants are encouraged to submit poster abstracts aligned with one of the subject areas.

Speakers

In vivo Imaging:

Zena Werb, Professor and Vice-Chair of Anatomy, University of California at San Francisco
The Werb laboratory is recognized for imaging-based discoveries on the molecular and cellular basis of extracellular matrix (ECM) proteolysis and on the nature of the stem cell niche in development and cancer.

John Condeelis, Professor and co-Chair of Anatomy and Structural Biology, Albert Einstein College of Medicine
The Condeelis lab focuses on imaging approaches to defining the signaling pathways from tyrosine-kinase receptors to the actin cytoskeleton in cancer cells, macrophages and endothelial cells and to understanding how these pathways distinguish and regulate cell motility and metastastis.

Molecular and Cellular Imaging:

Jay Groves, Professor of Chemistry and HHMI Investigator, University of California at Berkeley
The Groves lab focuses on the physical mechanisms of chemical signal transduction in immune and cancer cells, with emphasis on the role of spatial organization in the control of signaling.

Richard Kahn, Professor of Biochemistry, Emory University
Members of the Kahn lab integrate imaging and biochemical approaches to explore the mechanisms of cell regulation by GTP binding proteins, particularly the Arf family of 21 kDa GTPases and their associated partners.

Diane Lidke, Assistant Professor of Pathology, University of New Mexico
The D. Lidke lab uses new live cell fluorescence imaging techniques that combine the spatial, temporal and spectroscopic properties of a sample to study protein dynamics and interactions during signal transduction.

Bridget Wilson, Professor of Pathology, University of New Mexico
The Wilson team uses fluorescence and electron microscopy approaches for in vitro studies on dynamic changes in membrane microdomain composition and organization during signaling in immune and cancer cells and integrates in vivo imaging of tumor metastasis with mathematical modeling to explore signaling pathways in cancer.

Spatial Modeling from Image Data:

Martin Meier-Schellersheim, Chief, Computational Biology Section, Laboratory of Systems Biology, NIAID NIH
The Meier-Schellersheim group is a national leader in the computational modeling and simulation of intra- and intercellular signaling processes

Ion Moraru, Associate Professor of Cell Biology, University of Connecticut Health Center
The Moraru team is recognized for its quantitative experimental and modeling studies of signaling networks, especially the nonlinear response and spatial modulation of calcium signaling and the regulation of IP3 receptor activity, and for on the design and development of computational cell biology software tools geared towards the biologist user.

Jeremy Edwards, Associate Professor of Molecular Genetics and Microbiology and of Chemical and Nuclear Engineering, University of New Mexico
The Edwards team develops develop novel multi-scale modeling and rule-based simulation tools for spatially realistic simulations of receptor motion, aggregation/clustering and activation in the cell membrane.

Image Data Management and Informatics:

Badri Roysam, Professor and Chair of Electrical and Computer Engineering, University of Houston Cullen School of Engineering
The Roysam team's core research discipline is the study of algorithms and high-speed computing for imaging and image analysis. Of particular interest is the processing of biological/medical images, especially those that are three-dimensional (3-D), time varying, and multi-spectral.

Kevin Eliceiri, Director, Laboratory for Optical and Computational Instrumentation, University of Wisconsin and co-Leader, Open Microscopy Environment (OME)
The Eliceiri team focuses on the development of novel optical imaging methods for investigating cell signaling and cancer progression, and the development of software for multidimensional image analysis.

Emerging Imaging Tools and Technologies:

Khuloud Jaqaman, Instructor in Systems Biology, Harvard Medical School
The Jaqaman team develops integrative approaches combining single-molecule imaging, computer vision and mathematical modeling to establish the spatiotemporal organization of receptors in the plasma membrane, as a means to elucidate the mechanisms of transmembrane signal transduction.

Bo Huang, Assistant Professor, Departments of Pharmaceutical Chemistry and Biochemistry and Biophysics, University of California, San Francisco
The Huang team is developing new approaches based on super-resolution optical microscopy to directly observe the clustering, compartmentalization and spatial segregation of signaling molecules in live cells and to characterize the architecture of molecular complexes in situ.

Jerilyn Timlin, Principal member of the Technical Staff, Bioenergy and Defense Technologies, Sandia National Labs
The Timlin lab focuses on superresolution imaging techniques, multiplexed microscopy, multivariate image analysis, image preprocessing, spectral unmixing, and multivariate classification for applications in the early detection of disease/damage, immune response and signal transduction.

Jim Werner, Scientist, Center for Integrated Nanotechnologies, Los Alamos National Laboratory
The Werner team uses 3D confocal microscopy for studies of cellular signaling processes, membrane dynamics and gene expression.

Enrico Gratton, Professor of Biomedical Engineering and Physics, University of California, Irvine
The Gratton team is recognized for applications of new fluorescence spectroscopy and image analysis techniques to image live cells and for the development of noninvasive, safe near-infrared optical technology to study breast cancer and the effectiveness of chemotherapy in younger women.

Dorit Hanein, Associate Professor, Program on Bioinformatics and Systems Biology at Sanford-Burnham Medical Research Institute
The Hanein laboratory pioneers cryo-EM, image analysis and bioinformatics approaches and techniques to extract high-resolution structural information of large dynamic assemblies, for example the assembly and regulation of the actin cytoskeleton and its associated integrin-mediated adhesions at the leading edge of motile cells.

Keith Lidke, Assistant Professor of Physics, University of New Mexico
The K. Lidke team focuses on developing new optical techniques, including fluorescence super-resolution techniques, single particle tracking, and hyperspectral microscopy, that are able to probe cellular dynamics at the 10 nm scale and applying these techniques for studies on the spatial and temporal regulation of cell signaling.

Sponsors

The Symposium is sponsored by two NIH/NCI Centers established as collaborative programs between the University of New Mexico and the Sandia and Los Alamos National Laboratories.

The New Mexico Spatiotemporal Modeling Center, one of the twelve NIGMS-funded National Centers for Systems Biology, integrates new imaging probes and instrumentation with computational modeling to understand the spatial and temporal regulation of signaling pathways implicated in human disease, especially inflammatory diseases and cancer.

The New Mexico Cancer Nanotechnology Training Center, one of the six training centers funded by the NCI Alliance for Cancer Nanotechnology, provides fellowships to graduate students and postdocs whose interdisciplinary research develops and uses nanoscale tools, including new drug delivery and imaging probes, to understand and treat cancer.

The Symposium is additionally supported by the UNM Cancer Center, one of the 61 NCI-designated national centers of excellence in cancer research and treatment; by the New Mexico Consortium, a non-profit corporation dedicated to collaborative research between the New Mexico Universities and Los Alamos National Laboratory (LANL); by the UNM Department of Pathology through the Frederick H. Harvey III Chair in Pathology that supports disease-focused research, education and training; and by the Biosciences Research Foundation at Sandia National Laboratories whose mission is to provide biological solutions to important problems in energy and homeland security.


  • John Condeelis (EACOM; podium), Janet Oliver (UNM Pathology; standing) and participants


  • Abhaya Datye (UNM Center for Microengineered Materials), Andy Shreve (UNM Center for Biomedical Engineering) and participants


  • Zena Werb (Anatomy, UCSF) and Badri Roysam (Electrical Engineering, U of Houston)


  • John Condeelis (AECOM) and Diane Lidke (UNM Pathology)


  • Ryan Davis, Jerilyn Timlin and Glenn Kubiak (Sandia National Labs)


  • Stephen Jett (UNM HSC), Shalini Low-Nam (South Dakota State University)

Photo Gallery

Systems Imaging: Applications in Immunology and Cancer

The UNM Cancer Center, January 12 and 13, 2012

Agenda

Thursday January 12

8:00 – 8:30: Breakfast
8:30 – 8:45: Introductions (J. Oliver)
8:45 – 10:15: In vivo Imaging (Chair, J. Oliver)

  • 8:45 – 9:30: Zena Werb, University of California at San Francisco, "New insights into mechanisms underlying a role for the tumor microenvironment in therapeutic responses"

  • 9:30 – 10:15: John Condeelis, Albert Einstein College of Medicine, "High resolution multiphoton imaging of macrophage-dependent tumor cell migration and dissemination from breast tumors"

10:15 – 10:35 am: Break

10:35 AM – 11:55 AM: Molecular and Cellular Imaging (Chair, B. Wilson)

  • 10:35 – 11:15 Jay Groves, University of California Berkeley, "Spatial organization and the mechanics of signal transduction in cell membranes"

  • 11:15 – 11:55 Diane Lidke, UNM, "Diffusion, dimerization and domains: Single quantum dot tracking to correlate erbB receptor dynamics with signaling"

12:00 – 1:00 PM: Lunch (all welcome)

1:00 – 2:10 PM: Molecular and Cellular Imaging Session II (Chair, D. Lidke)

  • 1:00 – 1:30 Bridget Wilson, UNM, "High Resolution Imaging of Domains for FceRI Signaling and Internalization"

  • 1:30 – 2:10 Rick Kahn, Emory, "Quantifying Cargo-dependent Recruitment of Adaptors to the Golgi"

2:10 – 2:30 PM: Break

2:30 – 4:20 PM: Spatial Modeling from Image Data (Chair, B. Hlavacek)

  • 2:30 – 3:10: Martin Meier-Schellersheim, NIH, "Simulating spatial aspects of cellular behavior"

  • 3:10 – 3:50: Ion Moraru, University of Connecticut Health Center, "Modeling and simulation from quantitative imaging to systems biology"

  • 3:50 – 4:20: Jeremy Edwards, UNM, "Spatial modeling of ErbB receptor dynamics"

4:45 – 7:00 PM: Poster reception at Embassy Suites (light bites and cash bar – all welcome)

7:00 – 9:00 PM: Speaker Dinner (by invitation)

Friday January 13

8:00 – 8:30 AM: Breakfast

8:30 – 10:00 AM: Image Data Management and Informatics (Chair J. Timlin)

  • 8:30 – 9:10: Badri Roysam, U of Houston, "Scalable methods for analyzing 3D/4D/5D Images of Complex and Dynamic Biological Microenvironments"

  • 9:10 – 9:50: Kevin Eliceiri, U of Wisconsin, "Image Informatics for Multidimensional Live Cell Imaging"

  • 9:50 – 10:20: Jim Werner, Los Alamos National Lab, "Time-Resolved Three-Dimensional Molecular Tracking in Live Cells"

10:20 – 10:35 AM: Break

10:35 AM – 12:15 PM: Emerging Imaging Tools and Technologies Session I (Chair J. Gillette)

  • 10:35 – 11:05: Khuloud Jaqaman, Harvard Medical School, "Cytoskeletal control of CD36 diffusion promotes its receptor and signaling function"

  • 11:05 – 11:45: Bo Huang, University of California San Francisco, "Molecular complexes under the light: super-resolution microscopy"

  • 11:45 – 12:15: Jerilyn Timlin, Sandia National Labs, "Visualizing Early Immune Response at the Nanoscale"

12:15 – 1:15 PM: Lunch (all welcome)

1:15 – 3:35 PM: Emerging Imaging Tools and Technologies Session II (Chair, A. Wandinger-Ness)

  • 1:15 – 1:55: Enrico Gratton, University of California Irvine, "Following single molecules in cells and tissues by correlation spectroscopy"

  • 1:55 – 2:35: Dorit Hanein, Sanford-Burnham Medical Research Institute, "Structural Mapping of the Protein Universe; One Cell at a Time"

  • 2:35 – 3:05: Keith Lidke, UNM, "Imaging membrane protein dynamics using high-speed hyperspectral microscopy"

3:05 – 3:10: Wrap up and departure


© The New Mexico Center for the Spatiotemporal Modeling of Cell Signaling