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A package of cancer-related studies.

 

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  • Contains 4 Component(s), Includes Credits Recorded On: 07/11/2018

    A CYTO U Webinar presented by Michael Milone, PhD Keywords: tumor immunology

    About the Presenter

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    Michael Milone, PhD
    Associate Professor of Pathology and Laboratory Medicine
    Associate Director, Toxicology Laboratory
    University of Pennsylvania Perelman School of Medicine

    Dr. Michael Milone received his MD and PhD in experimental pathology in 1999 from New Jersey Medical School. After an internship in internal medicine and post-graduate medical training in clinical pathology and transfusion medicine at the Hospital of the University of Pennsylvania, he pursued a post-doctoral research fellowship with Dr. Carl June at the University of Pennsylvania, where he studied T cell immunotherapy for cancer and designed the CD19-specific CAR-T cell therapy that became CTL019 (tisagenlecleucel, KymriahTM), the first FDA-approved gene therapy in the US. He is a founding member of the Center for Cellular Immunotherapies at the University of Pennsylvania. He currently directs a research laboratory focused on basic and translational immunology that includes the design and application of synthetic immunoreceptors for adoptive cellular therapy of cancer and antibody-mediated disease.    

    Webinar Summary

    This webinar will provide an overview of engineered T cell adoptive immunotherapies that utilize synthetic immunoreceptors termed chimeric antigen receptors (CARs). Topics to be covered include the design of CAR-T cells, approaches to preclinical assessment of efficacy and toxicity, and the clinical application of this technology to the treatment of malignant and autoimmune disease.

    Learning Objectives

    • Understand the design and mechanism of action of engineered T cell adoptive immunotherapies using chimeric antigen receptors (CARs).
    • Describe some of the challenges to applying CAR-T cell therapy to cancer therapy.
    • Discuss the clinical application of engineered T cells.

    Who Should Attend

    Scientists, physicians, or technologists with an interest in immunotherapy.

    CMLE Credit: 1.0

  • Contains 3 Component(s), Includes Credits Recorded On: 11/19/2019

    A CYTO U Webinar presented by Alex Walsh, PhD Keywords: Optical imaging, 2-photon imaging, cancer therapy, Autofluorescence

    About the Presenter

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    Alex Walsh, PhD
    Assistant Professor in Biomedical Engineering
    Texas A&M University

    Dr. Walsh completed her Ph.D. at Vanderbilt University, where she developed an autofluorescence lifetime-based assay for determining the optimal cancer treatment strategy for individual patients. As a postdoc at the Air Force Research Lab, Dr. Walsh used optical techniques to investigate infrared-light activation and inhibition of action potential propagation in neurons. Currently, Dr. Walsh is an assistant professor in the Biomedical Engineering Department at Texas A&M University.

    Webinar Summary

    Fluorescence lifetime imaging (FLIM) of the endogenous fluorophores, NAD(P)H and FAD (co-enzymes of metabolic reactions), provides a label-free method to quantify cellular metabolism. This webinar will review multi-photon fluorescence lifetime imaging methods, single cell segmentation, and intra-population heterogeneity analysis. Examples will be shown for drug response in breast cancer organoids and activation of T cells.

    Learning Objectives

    • Define fluorescence lifetime and time-correlated single photon counting imaging methods.
      Interpret label-free FLIM images of NAD(P)H and FAD.
    • Discuss segmentation and single-cell analysis techniques.

    Who Should Attend

    Anyone interested in label-free imaging, fluorescence lifetime imaging, or single-cell analysis.

    CMLE Credit: 1.0

  • Contains 4 Component(s), Includes Credits Recorded On: 10/20/2017

    A CYTO U Webinar presented by Jonathan Irish, PhD Keywords: CyTOF, Big data, Pipeline, Clustering, FlowSOM, Automated Labeling, MEM

    About the Presenter

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    Jonathan Irish, PhD
    Assistant Professor 
    Department of Cell and Developmental Biology (CDB)
    Vanderbilt University

    Jonathan Irish is an assistant professor in the Department of Cell and Developmental Biology (CDB) at Vanderbilt University, School of Medicine. He holds a secondary appointment in Pathology, Microbiology, and Immunology (PMI) and is scientific director of the Cancer and Immunology Core (CIC) and the Mass Cytometry Center of Excellence (MCCE). Jonathan launched the Irish Lab at Vanderbilt in 2012 after finishing his training with Garry Nolan and Ron Levy at Stanford University. Jonathan holds a BS in biology, a BS in chemistry,  and a BS biochemistry from the University of Michigan. He received a PhD in cancer biology from Stanford University.

    CMLE Credit: 1.0

  • Contains 4 Component(s), Includes Credits Recorded On: 11/15/2017

    A CYTO U Webinar presented by Jonni Moore, PhD Keywords: Clinical cytometry, computation, cytomics, validation, diagnostic, biomarker

    About the Presenter

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    Jonni Moore, PhD
    Professor of Pathology and Laboratory Medicine
    University of Pennsylvania

    Dr. Jonni Moore has over 30 years of experience in clinical and research flow cytometry. She has led one of the largest flow cytometry and cell sorting shared resource labs since 1992 and was founding director of the Clinical Flow Cytometry Laboratory at the Hospital of the University of Pennsylvania. Her current focus is on deep phenotyping in translational and clinical settings and the development of liquid biopsies utilizing ultra-sensitive flow cytometry.

    In 2016 she received the Wallace H. Coulter Distinguished Lecturer Award for lifetime contributions to the science, education, and practice of clinical cytometry. Being in the unique position of leadership in both clinical and research flow cytometry laboratories, she focuses on the movement of novel translational assays to the clinical arena.

    Webinar Summary

    This webinar will focus on the recent new technologies that are expanding the reach of translational and clinical cytometry, not only in traditional areas, but also in new areas like solid tumors and cardiovascular diseases. The power of the technology to provide important information in these settings will be highlighted as well as the necessity for biocomputational approaches for both current and developing applications.

    Webinar Objectives

    • To highlight new technologies that can extend the reach of clinical cytometry.
    • To highlight new disciplines that are emerging in clinical cytometry.
    • To introduce the role of biocomputation in the clinical realm.
    • To stimulate interest in the opportunities for development in the translational/clinical area.

    Who Should Attend this Webinar

    Clinicians, lab directors, technologists, and scientists who are interested in translational and clinical cytometry.

    CMLE Credit: 1.0

  • Contains 3 Component(s), Includes Credits Recorded On: 04/15/2019

    A CYTO U Webinar presented by Anja E. Hauser, PhD Keywords: multiplex histology, quantitative, bone marrow

    About the Presenter

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    Anja Hauser, PhD
    Professor of Immune Dynamics and Intravital Microscopy
    Charité—Universitätsmedizin and Deutsches Rheumaforschungszentrum

    During her studies of veterinary medicine, Anja Hauser developed an interest in immunopathology and microscopy. As a graduate student, she identified factors which attract plasma blasts into the bone marrow and keep them alive in specialized niches within this tissue. During her postdoctoral work, she worked on the migration of germinal center B cells using intravital 2-photon microscopy. She is a professor of immune dynamics and intravital microscopy at the Charité—Universitätsmedizin and Deutsches Rheumaforschungszentrum in Berlin. In an interdisciplinary approach, her lab develops novel microscopy technologies to obtain a deeper insight in how the immune system functions. 

    Webinar Summary

    Anja will introduce the principles of multi-epitope ligand cartography (MELC), a method for multiplexed immunofluorescence microscopy, and explain its application for analyzing complex tissues and rare cell subsets. She will also give an overview on methods suitable to quantitatively analyze those complex multi-parametric image data.

    Learning Objectives

    • Describe MELC as a method for multiplexed immunofluorescence histology.
    • Learn what to consider when preparing tissues for MELC analysis, such as choosing marker panels and planning the sequential staining in the tissue
    • Learn about options for image analysis in order to extract quantitative information from multiplexed immunofluorescence histology.

    Who Should Attend

    Everyone who is interested in quantitative multiplexed image analysis and its applications in immunology.

    CMLE Credit: 1.0

  • Contains 4 Component(s), Includes Credits Recorded On: 03/27/2018

    A Cytometry Part A Spotlight CYTO U Webinar presented by Karl Staser, MD, PhD Keywords: OMIP, phenotyping, panel design, PBMCs, T cells, human immunology

    About the Presenter

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    Karl Staser, MD, PhD
    Ascension Medical Group

    Dr. Karl Staser graduated with a BA in American History and Literature from Harvard College in 2002. He then enrolled in the Indiana University School of Medicine, where he completed a Howard Hughes Medical Institute “year-out” research fellowship for medical students and subsequently entered the Indiana University Medical Scientist Training Program under the supervision of Dr. Wade Clapp. Dr. Staser then joined the Physician Scientist Training Program at Washington University and completed his internal medicine internship and dermatology residency at Barnes-Jewish Hospital in 2017. He is now researching novel therapies for graft-versus-host disease and cutaneous T cell lymphoma in Dr. John F. DiPersio’s lab at the Siteman Cancer Center at Washington University in St. Louis.

    Webinar Summary

    The 21-color flow cytometry panel enables simultaneous quantification of monocytes, basophils, granulocytes, dendritic cells, natural killer cells, B cells, and all well-defined T and T helper cell subsets in the human peripheral blood. This panel captures the major phenotypes described in the NIH Human Immunology Project with additional markers for deep T cell analysis. We specifically designed this panel for peripheral blood analysis from patients involved in our clinical trials of novel agents for the treatment of graft versus host disease (GVHD) after allogeneic hematopoietic stem cell transplantation (alloHSCT). We have optimized this panel for the analysis of 1x10^6 fresh or previously frozen peripheral blood mononuclear cells (PBMCs).

    Learning Objectives

    • Describe the process of designing and validating a 21-color flow cytometry panel.
    • Demonstrate the application of this particular 21-color flow cytometry panel.
    • Discuss troubleshooting and experimental refinement of 21-color flow cytometry.

    Who Should Attend.

    Physicians, scientists, and other researchers interested in high-color flow cytometry for the rapid and reproducible immunophenotyping of human blood.

    CMLE Credit: 1.0

  • Contains 4 Component(s), Includes Credits Recorded On: 09/27/2016

    A CYTO U Webinar presented by Thomas Cimato, MD, PhD Keywords: cardiovascular disease, myocardial infarction, hematopoietic stem cells, atherosclerosis progenitor cells, nutrition, ovarian cancer, peripheral blood mononuclear cells, monocyte, macrophages

    About the Presenter

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    Thomas Cimato, MD, PhD
    Associate Professor
    University at Buffalo Jacobs School of Medicine and Biomedical Sciences

    Dr. Cimato is an associate professor in the Division of Cardiology at the University at Buffalo Jacobs School of Medicine and Biomedical Sciences and an adjunct investigator at the Roswell Park Cancer Institute.

    His research focuses on the role of inflammation on hematopoietic differentiation in atherosclerosis. He is also involved in collaborative studies that focus on the role of hematopoietic progenitor cells as immune suppressor cells in cancer.

    Webinar Summary

    In this webinar he will discuss recent advances in our understanding of how early hematopoietic progenitors respond to hypercholesterolemia and myocardial infarction in animal models to accelerate atherosclerosis. He will discuss the development of an assay to measure human hematopoietic progenitors in blood and early translational studies in human subjects with heart disease. 

    CMLE Credit: 1.0

  • Contains 4 Component(s), Includes Credits Recorded On: 03/20/2014

    A CYTO U Webinar presented by ​Chris Bakal, PhD Keywords: Cell shape, RNAi screen, Morphological signatures, Cell Morphogenesis, Clustering, Drosophila, Melanoma

    About the Presenter

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    Chris Bakal, PhD
    Dynamical Cell Systems Team Leader
    Division of Cancer Biology at the Institute of Cancer Research

    Webinar Summary 

    The Dynamical Cell Systems team is using high throughput functional genomic approaches in tandem with integrative computational technologies to understand the architecture and dynamics of signal transduction networks. They study the biological switches that cause cells to change shape, become cancerous, and spread around the body. By understanding how these switches work, scientists may one day find a way to control them through drugs or other therapies. Cells are able to assume a wide variety of complex shapes in order to carry out different roles, and Dr. Bakal's team examines the genetic and biochemical mechanisms that underpin these shape changes. Their research covers how both environmental and genetic variation affects cell shape. Ultimately, Dr. Bakal aims to understand how normal and cancerous cells can adopt different shapes and why metastatic cancer develops in some people but not others.

    CMLE Credit: 1.0

  • Contains 3 Component(s), Includes Credits Recorded On: 06/22/2019

    A CYTO 2019 State-of-the-Art Lecture Presented by Atul Butte, University of California, San Francisco Keywords: Precision immunology, Color Wheel, Panel Design, CYTOBrute, Clustering, Immunotherapy, Nivolumab, Ipilimumab, Machine Learning, Elastic Net

    The Presenters

    A. Butte
    University of California, San Francisco

    Session Summary

    There is an urgent need to take what we have learned in our new “genome era” and use it to create a new system of precision medicine, delivering the best preventative or therapeutic intervention at the right time, for the right patients. Dr. Atul Butte's lab at the University of California, San Francisco builds and applies tools that convert trillions of points of molecular, clinical, and epidemiological datameasured by researchers and clinicians over the past decade and now commonly termed “big data”into diagnostics, therapeutics, and new insights into disease. Several of these methods or findings have been spun out into new biotechnology companies.

    Dr. Butte, a computer scientist and pediatrician, will highlight his lab’s recent work, including the use of publicly-available molecular measurements to find new uses for drugs including new therapies for autoimmune diseases and cancer, discovering new druggable targets in disease, integrating, and reusing the clinical and genomic data that result from clinical trials, and how the next generation of biotech companies might even start in your garage. In particular, Dr. Butte will describe the public data resources in the NIAID ImmPort available to study immunology, infection, vaccination, and transplantation, and how these resources can be used to better target drugs and understand immunity across tens of thousands of individuals.

    CMLE Credit: 0.5

  • Contains 3 Component(s), Includes Credits Recorded On: 06/22/2019

    A CYTO 2019 State-of-the-Art Lecture presented by Gustavo Rohde, University of Virginia School of Medicine

    The Presenter

    Gustavo Rohde
    University of Virginia School of Medicine

    Session Summary

    Cell image classification methods are currently being used in numerous applications in cell biology and medicine. Applications include understanding the effects of genes and drugs in screening experiments, understanding the role and sub-cellular localization of different proteins, as well as diagnosis and prognosis of cancer from images acquired using cytological and histological techniques. We review three different approaches for cell image classification: numerical feature extraction, end-to-end classification with neural networks, and transport-based morphometry. In addition, we provide comparisons of four different cell imaging datasets to highlight the relative strength of each method.

    CMLE Credit: 0.5