Understanding cell state with quantitative live cell imaging Copyright © 2000 Cell Press. The Hallmarks of Cancer Douglas Hanahan and Robert A. Weinberg.

Slides:



Advertisements
Similar presentations
Abstract: We aimed to determine the role that integrin  4 plays in glioma cell migration as well as glioma stem cell differentiation. Evidence indicates.
Advertisements

Lessons Learned from Measuring Cell Response by Quantitative Automated Microscopy FDA Workshop, Potency Measurements for Cellular and Gene Therapy Products,
FLOW CYTOMETRIC ANALYSIS OF THE CELL CYCLE Jan Bartoš Laboratory of Molecular Cytogenetics and Cytometry Institute of Experimental Botany Olomouc, Czech.
ASTM Subcommittee on Cell Signaling (F04.46) Established May 2006 Anne Plant, NIST Norfolk VA May 24, 2007.
Microarray technology and analysis of gene expression data Hillevi Lindroos.
Signal Processing in Single Cells Tony 03/30/2005.
Acquired Capabilities of Cancer From: Hanahan D. Weinberg RA. The hallmarks of cancer. Cell Jan 7;100(1):57-70.
Chapter 9 PART II: Concepts in Molecular Biology and Genetics The Human Proteome: Implications for the Understanding of Human Disease Companion site for.
Mathematical Modeling of Cancer Cell Lineages Michelle Chen Professor John Lowengrub, Ph.D. August 2014 Chao Comprehensive Cancer Center, UCI.
Single Cell Informatics MI MII entry end. Motivation Some phenomena can only be seen when filmed at single cell level! (Here: excitability)
When mammalian cells are subjected to stress signals, oxygen deficiency, radiation, DNA damage, or Chemo- therapeutic drugs, p53 is activated, leading.
Mitosis, Meiosis, Cell Cycle Control, Cyclin, Checkpoints, Cyclin-Dependent kinase, External and Internal WHAT THEY ARE!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Bayesian integration of biological prior knowledge into the reconstruction of gene regulatory networks Dirk Husmeier Adriano V. Werhli.
Identification of network motifs in lung disease Cecily Swinburne Mentor: Carol J. Bult Ph.D. Summer 2007.
Dr Gihan E-H Gawish, MSc, PhD Molecular Biology and Clinical Biochemistry KSU Cytogenetics Understanding the Disease Progression Process, Classical and.
1 Dr. Karen Schmeichel February 3, 2009 BIO 290 Special Topics in Biology: Cancer Biology Lecture #7 Finishing “Profiling” & “Models Of Cancer”
Effects of siRNA mediated gene knockdown on the formation of focal adhesions Sabina Winograd-Katz, Zvi Kam and Benjamin Geiger Department of Molecular.
The Role of Substrate Topography on Actin Organization and Dynamics KEVIN BELNAP (BRIGHAM YOUNG UNIVERSITY) MIKE AZATOV (UNIVERSITY OF MARYLAND) ARPITA.
GTL User Facilities Facility IV: Analysis and Modeling of Cellular Systems Jim K. Fredrickson.
Computational biology of cancer cell pathways Modelling of cancer cell function and response to therapy.
Agent-based methods for translational cancer multilevel modelling Sylvia Nagl PhD Cancer Systems Science & Biomedical Informatics UCL Cancer Institute.
Construction of cancer pathways for personalized medicine | Presented By Date Construction of cancer pathways for personalized medicine Predictive, Preventive.
Use of live cell microscopy to follow the temporal regulation of gene expression October 6 th, 2009 Michael Halter, Joe Chalfoun, Antonio Cardone, Benjamin.
Cell Systems Science Group NIST Summary of activities for McKay Lab Feb 2010.
Agent-based modelling of epithelial cells An example of rule formulation and extension Dr Dawn Walker, University of Sheffield, UK.
Therapeutic miRNA Delivery Suppresses Tumorigenesis in a Murine Liver Cancer Model Janaiah Kota,1 Raghu R. Chivukula,2 Kathryn A. O’Donnell,3,4 Erik A.
Epigenetic Control of Tamoxifen Resistant Breast Cancer Kristin Williams Arcaro Lab Thesis Resarch June 25, 2012 Kristin Williams Arcaro Lab Thesis Resarch.
An Overview of Clustering Methods Michael D. Kane, Ph.D.
By: LaShanale Wallace.  Introduction: What is Autophagy?  Objective  Specific examples  Conclusion.
Decoding the Network Footprint of Diseases With increasing availability of data, there is significant activity directed towards correlating genomic, proteomic,
Inhibition of PDCD6 Induces Cell Proliferation and Reduces Apoptosis in Human Epithelial Ovarian Cancer Cells Yan Huang, Xiaohua Wu Department of Gynecology,
How Cells Divide All organisms grow and reproduce and pass on hereditary information from 1 generation to the next Cell division is necessary for: growth.
Lecture 10: Cell cycle Dr. Mamoun Ahram Faculty of Medicine
Bioimaging Facility - Widefield + confocal microscopes, workstations for image analysis - basic + advanced usage - training to achieve independent usage.
Eigengenes as biological signatures Dr. Habil Zare, PhD PI of Oncinfo Lab Assistant Professor, Department of Computer Science Texas State University 5.
Inflammation and Cancer
Molecular Biomarkers & Targets an overview Michael Messenger NIHR Diagnostic Evidence Co-Operative & Leeds Cancer Research UK Centre.
Identification of Cancer Stem Cells using Flow Cytometry Analysis تعيين الخلايا الجذعية السرطانية باستخدام تحليل التدفق الخلوي Dr. Ayat Al-Ghafari Biochemistry.
Regulating The Cell Cycle. Warm Up – The Cell Cycle The cell spends 80% of the time in _______________ and 20% of the time in ________________ What are.
Evolution-informed Modeling discover biomarkers for precision oncology Li Liu, M.D. August 22, 2016.
Companion PowerPoint slide set Obesity-associated breast cancer risk: a role for epigenetics? This teacher slide set was created by Dana Haine, MS, of.
Cell Image Analysis, Part 2
Studies of protein trap expression We compared the apparent intensity of GFP-protein staining in the GSCs with the RNA level of the corresponding gene.
Microarray Technology and Applications
Skin Pharmacol Physiol 2017;30: DOI: /
Cell Cycle.
The Cell Cycle and Mitosis Regulation
Membrane-Tethered Intracellular Domain of Amphiregulin Promotes Keratinocyte Proliferation  Stefan W. Stoll, Philip E. Stuart, Sylviane Lambert, Alberto.
In Silico Analysis of Transposable Elements Expression in Human Cancer
DEAR1 is a negative regulator of TGF-β–induced migration and EMT
Kenneth Song, Samir Hanash  Gastroenterology 
PPARγ signaling correlates with LATS2 in human and mouse tumors and promotes cell death in a LATS2-dependent manner. PPARγ signaling correlates with LATS2.
Volume 45, Issue 5, Pages (November 2016)
Hallmarks of Cancer: The Next Generation
The Hallmarks of Cancer
LATS2 promotes death of lumB cells.
Types of biomarkers/biosignatures to be used for cardiovascular disease. Types of biomarkers/biosignatures to be used for cardiovascular disease. There.
Opposing Roles of Epidermal Integrins α3β1 and α9β1 in Regulation of mTLD/BMP-1– Mediated Laminin-γ2 Processing during Wound Healing  Whitney M. Longmate,
Analysis of growth, protein expression, and morphology
Multiparametric Analysis of Cell Shape Demonstrates that β-PIX Directly Couples YAP Activation to Extracellular Matrix Adhesion  Julia E. Sero, Chris.
Volume 1, Issue 6, Pages (December 2013)
Nuclear Trapping Shapes the Terminal Gradient in the Drosophila Embryo
Bioinformatic Discovery of TransposableElements
Wild-type PC1 promotes ciliary localization of endogenous PC2 in ADPKD hepatoblasts. Wild-type PC1 promotes ciliary localization of endogenous PC2 in ADPKD.
Silencing is not established at a hybrid HML-Pa locus without passage through S phase. Silencing is not established at a hybrid HML-Pa locus without passage.
How Cells Tiptoe on Adhesive Surfaces before Sticking
Mutant MFN2 proteins have normal half-lives and are properly localized to mitochondria. Mutant MFN2 proteins have normal half-lives and are properly localized.
The Systematic Production of Cells for Cell Therapies
ARID1A promotes DSB end resection.
Cellular localization of Panx1 and altered membrane morphology in stable Panx1-transfected C6 glioma cells. Cellular localization of Panx1 and altered.
Presentation transcript:

Understanding cell state with quantitative live cell imaging Copyright © 2000 Cell Press. The Hallmarks of Cancer Douglas Hanahan and Robert A. Weinberg Gain pathway knowledge: mechanistic understanding of disease identification/validation of cellular biomarkers therapeutic intervention, drug discovery, toxicity

Copyright © 2000 Cell Press. The Hallmarks of Cancer Douglas Hanahan and Robert A. Weinberg Single cell measurements Average expression Biological variability Subpopulation information

GFP distribution from Tenascin-C GFP reporter cells Flow Cytometry GFP fluorescence intensity Cell # GFP intensity distributions are stable in culture Genetically identical cells exhibit a wide-range of intensities gene promoter sequenceGFP Tenascin-C promoter CONCEPT: GFP is produced when gene is active Phase Contrast GFP

Quantify GFP intensities from live cells GFP FluorescencePhase 12 fields * 3 replicates Collaboration with Institute for Systems Biology, Seattle, WA for automating live cell image analysis Approximately 200 cells were hand segmented and tracked Manual analysis has been the result of a collaboration with Dr. Ben Stottrup, (Augsburg College, MN)

Single cell GFP intensities over time indicate tenascin-C regulation is coupled to the cell cycle Normalizing the intensity data and averaging over >30 cells suggests that tenascin-C production is upregulated before division and is directly coupled to cell cycle progression Intensity Fraction of cell cycle Averaging Cell Intensity Profiles Averaging over all cells Time (fraction of cell cycle) Relative GFP fluorescence intensity relative GFP between daughter cells after division; length of cell cycle vs. TNC expression; TNC expression vs. parent cell expression

Automated Segmentation and tracking: collaboration with ITL ITL: Joe Chalfoun, Antonio Cardone, Alden Dima, Marcin Kociolek

(Chapados et al., Circulation Research. 2006;99:837.) Tenascin-C: an ECM protein Tenascin-C (TNC) is a high molecular weight (250kDa - 300kDa ) extracellular matrix (ECM) glycoprotein that has a complex spatial and temporal pattern of expression during embryogenesis, wound healing and neoplastic processes. TNC levels are high during embryogenesis, but almost absent during normal postnatal life with some basal expression detectable in tendons and ligaments only. Tenascin-C expression is upregulated during inflammation, wound healing, and in many cancers Tenascin-C is thought to have anti- adhesive properties and play a role in signaling The expression of TNC is often correlated with cell spreading

LED illumination stability LED intensity measured over 7 days

non-transfected NIH3T3’s transfected cells avg=610 +/- 240 avg=5 +/- 7.5 flow cytometry Cell intensities Single cell clones from NIH-3T3 cell population transfected with a destabilized EGFP reporter driven by the tenascin-C gene Spread area, shape, GFP expression…these are dynamic parameters