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The Resource Single Cell Analysis : Contemporary Research and Clinical Applications

Single Cell Analysis : Contemporary Research and Clinical Applications

Label
Single Cell Analysis : Contemporary Research and Clinical Applications
Title
Single Cell Analysis
Title remainder
Contemporary Research and Clinical Applications
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Series in BioEngineering Ser
Single Cell Analysis : Contemporary Research and Clinical Applications
Label
Single Cell Analysis : Contemporary Research and Clinical Applications
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4843662
Publication
Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Acknowledgements -- Contents -- Contributors -- 1 Microenvironment Cytometry -- Abstract -- 1 Microcommunities and Microenvironments -- 1.1 Introduction -- 1.1.1 Boundaries and Niches -- 1.1.2 Tumor Microenvironment [TME] -- 2 Plasticity of Cellular Communities -- 2.1 Landscapes and Attractor States -- 2.2 Cell Transitions and Interactions: The Glycome -- 2.3 Cellular Interactions in a Microcommunity: Transitions in NCAM Polysialylation -- 3 Chromosomal Instability (CIN) and the Microenvironment -- 3.1 Cytometric Analysis of Chromosomal Instability -- 3.2 Mitotic Bypass -- 3.3 Mitotic Bypass and the p53 Network -- 4 In Vitro Microenvironment Models and Hollow Fiber Technology -- 4.1 3D Models: Multicellular Tumor Spheroids -- 4.2 Encapsulation Systems -- 4.2.1 Microencapsulation and Macroencapsulation -- 4.2.2 HF Bioreactor (HFB) Cell-Culture Systems -- 4.2.3 HF Microenvironment Control -- 4.2.4 HF Implant Assay -- 4.2.5 HFA Cytometry -- 5 Microenvironment and Hypoxia -- 5.1 Modeling the Hypoxic Microenvironment -- 5.2 Stromal-Tumor Hypoxia -- 5.3 Hypoxia Detection -- 5.4 Cellular Responses to the Hypoxic Tumor Environment -- 6 Targeting Hypoxia -- 6.1 The Therapeutic Paradigm -- 6.2 Hypoxia-Activated Prodrugs: HAPs -- 6.3 Unidirectional HAPs (uHAPs) and Multilevel Targeting -- 7 The Continuing Challenge -- Acknowledgements and Declarations -- References -- 2 Rare Cells: Focus on Detection and Clinical Relevance -- Abstract -- 1 Introduction -- 2 Ag-Specific T Cells -- 3 Invariant Natural Killer T (iNKT) Cells -- 4 Circulating Endothelial Cells and Their Precursors -- 5 Circulating Tumor Cells -- 6 Analysis of Rare Events by Flow Cytometry: The First Step -- 6.1 Enrichment and Choice of Markers -- 6.2 Number of Acquired Events -- 6.3 Sample Concentration and Flow Rate -- 6.4 Thresholds, Gating, and DUMP Channel -- 6.5 Data Analysis
  • References -- 3 "E All'ottavo Giorno, Dio Creò La Citometria {u2026} and on the 8th Day, God Created Cytometry" -- Abstract -- 1 Introduction -- 1.1 Before the Beginning -- 1.2 In the Beginning -- 2 And then There Was Electronics -- 2.1 Evolving Instrumentation -- 2.2 The Technology-Biology Interface -- 2.3 Immunology Changes Technology -- 2.4 The Creation of Standards and Education -- 3 The Impact of Software -- 3.1 Advancing Technology-Digital Flow Cytometry -- 4 Cytometry as an Education Tool -- 4.1 The Internet Is Here -- 4.2 The Purdue Email Discussion List -- 4.3 The World Wide Web -- 5 Conclusion -- References -- 4 Cytomics of Oxidative Stress: Probes and Problems -- Abstract -- 1 Introduction to Reactive Oxygen (ROS) and Nitrogen (RNS) Species -- 2 The Physiological Side of ROS and NOS -- 2.1 Sources of ROS and RNS -- 2.2 ROS in Phagocytosis -- 2.3 ROS and RNS in Cellular Signaling -- 3 Oxidative Stress: Definition, Causes, and Consequences -- 3.1 Definition of Oxidative Stress -- 3.2 Causes of Oxidative Stress -- 3.3 Consequences of Oxidative Stress -- 3.3.1 Protein Damage -- 3.3.2 Lipid Peroxidation -- 3.3.3 Oxidative Lesions to DNA -- 4 Strategies and Reagents for Cytomic Analysis of Oxidative Stress -- 4.1 Cytomic Strategies in the Analysis of Oxidative Stress -- 4.2 Detection of ROS and RNS Using Fluorogenic Substrates -- 4.2.1 2',7'-Dichlorodihydrofluorescein Diacetate (H2DCF-DA) and Related Probes -- 4.2.2 Dihydrorhodamine 123 (DHR123) -- 4.2.3 New Fluorescent Probes for H2O2 Detection -- 4.2.4 Hydroethidine or Dihydroethidium (HE) -- 4.2.5 MitoSOX Red Mitochondrial Superoxide Indicator (MitoSox Red) -- 4.2.6 CellROX® Reagents as General Probes for ROS -- 4.2.7 4,5-Diaminofluorescein Diacetate (DAF-2 DA) -- 4.2.8 4-Amino-5-Methylamino-2',7'-Difluorofluorescein Diacetate (DAF-FM DA)
  • 4.2.9 Dihydrorhodamine 123 (DHR123) for Detecting Peroxinitrite -- 4.3 Detection of Lipid Peroxidation -- 4.3.1 cis-Parinaric Acid -- 4.3.2 4,4-Difluoro-5-(4-Phenyl-1,3-Butadienyl)-4-Bora-3a,4a-Diaza-S-Indacene-3-Undecanoic Acid (BODIPY581/591C11) and Related BODIPY Probes -- 4.3.3 Lipophilic Fluorescein Derivatives -- 4.4 Detection of Metabolic Derivatives of Peroxidized Lipids -- 4.4.1 Immunofluorescent Detection of 4-Hydroxy-2-Nonenal (4-HNE) -- 4.5 Immunofluorescent Detection of Oxidized Bases in DNA -- 4.6 Assessment of Antioxidant Defenses: GSH and Thiol Groups -- 5 Problems and Limitations in the Determination of ROS and RNS -- 5.1 Short Half-Life and Intracellular Location of ROS and RNS -- 5.2 Complex Interactions Among and Between ROS, RNS, and Fluorescent Probes -- 5.3 Influence of the Probes on the Experimental System -- 5.4 Experimental Artifacts -- 5.5 Cell Integrity and Functional Competence and Intracellular Localization of Probes -- 5.6 Intrinsic Limitations of Fluorogenic Substrates and Probes -- 5.6.1 Probes Used for Detection of H2O2 and Organic Peroxides -- 5.6.2 Probes Used for Detection of Superoxide -- 5.6.3 Probes Used for Detection of NO and Peroxynitrite -- 5.6.4 Probes Used for Detection of Lipid Peroxides -- 5.6.5 Probes Used for the Determination of GSH -- 5.7 Controls in the Cytometric Analysis of ROS, RNS, and Oxidative Stress -- Acknowledgements -- References -- 5 Flow Cytometry in Multi-center and Longitudinal Studies -- Abstract -- 1 Introduction -- 2 Flow Cytometry in Multi-center and Longitudinal Studies -- 3 Testing Flow Cytometry(-ists) -- 4 Can You Analyze the 1000+ .fcs Files? -- 5 A Future for Multi-center and Longitudinal Studies? -- Acknowledgments -- References -- 6 Validation-The Key to Translatable Cytometry in the 21st Century -- Abstract -- 1 Introduction
  • 2 The Translational Space-Opportunities and Challenges -- 3 The Translational Approach in Drug Development -- 4 Fit-for-Purpose Method Validation -- 5 Assay Implementation -- 6 Improving Translatability in Cytometry -- References -- 7 Flow Cytometry in Microbiology: The Reason and the Need -- Abstract -- 1 Introduction -- 2 Detection/Identification -- 3 Antimicrobial Susceptibility Profile -- 4 Drug Associations -- 5 Mechanisms of Drug Action -- 5.1 Lesion of the Cytoplasm Membrane -- 5.2 Efflux Pump Blockade -- 5.3 Decrease of Drug Input -- 6 Mechanisms of Antimicrobial Resistance -- 7 Post-antibiotic Effect and Drug Monitoring -- 8 Adhesion Studies and Other Research Applications -- 9 Technical Issues -- 10 Concluding Remarks -- References -- 8 Flow Cytometer Performance Characterization, Standardization, and Control -- Abstract -- 1 Introduction -- 1.1 Why Is It Important -- 1.2 What Do Instrument Manufacturers Provide? -- 2 Beads as Standards -- 2.1 Bead Characteristics -- 2.2 Fluorescence Intensity Units Used in Flow Cytometry -- 2.3 Bead Fluorescence Assignments Vary Among Manufacturers -- 2.4 Authoritative, Traceable Fluorescence Intensity Assignments (NIST) -- 2.5 Considerations Using Beads as Cell Analogs for Light Scatter -- 3 Standardization, Calibration, and Quality Control/QC -- 3.1 How Standardization, Calibration, and Control Differ -- 3.2 Control/QC -- 3.3 Standardization and Calibration -- 4 Standardizing and Calibrating DNA and RNA Content Per Cell -- 4.1 Total DNA Content -- 4.2 DNA and RNA Measurements Using Molecular Biology Techniques -- 5 Standardizing and Calibrating Antibodies Bound Per Cell -- 6 Fluorescence Performance Characterization -- 6.1 Linearity -- 6.2 Noise Contributions Broaden Measured Populations -- 6.3 Detection Efficiency, Q, and Background Light -- 6.4 Buyer Beware -- 7 Future Possibilities -- Acknowledgements
  • References -- 9 Alternative Approaches for Analysis of Complex Data Sets in Flow Cytometry -- Abstract -- 1 Introduction -- 2 PlateAnalyzer: Drug-Screen Assays -- 2.1 Alternative Data Displays -- 2.2 Fast Gating of Multiple Parameters -- 3 PlateAnalyzer: Multiplexed Cytokine Assays -- 3.1 Conventional Versus Alternative Approaches -- 3.2 Data Output Possibilities -- 4 PlateAnalyzer: Mass Cytometry -- 5 Renaming FCS Files -- 6 LData: Extracting Raw Data from an FCS File -- 7 Cytospec: Analyzing Hyperspectral Data -- 7.1 Principal Component Analysis -- 8 Conclusion -- References -- 10 Photon Detection: Current Status -- Abstract -- 1 Single-Photon Detection and Photocurrent Detection -- 2 Photon Counting, Spectrum Analysis, and Time Domain Analysis -- 3 Advancement of Photon Detectors for Cytometry -- 3.1 The Photo Multiplier Tube (PMT) -- 3.2 The Si Photomultiplier (SiPM) -- 4 Performance of Differential Geiger Mode and Preliminary Evaluation -- 4.1 Linearity Between Incident Light Intensity and Counting Rate -- 4.2 Dark Count Rate by Cooling and Dynamic Range -- 4.3 Excited Fluorescence Evaluation by Photon Counting -- 5 Conclusion and Discussion -- Acknowledgements -- References -- 11 Identification of Small-Molecule Inducers of FOXP3 in Human T Cells Using High-Throughput Flow Cytometry -- Abstract -- References -- 12 Cancer Stem Cells and Multi-drug Resistance by Flow Cytometry -- Abstract -- References
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{'f': 'http://opac.lib.rpi.edu/record=b4387962'}
Extent
1 online resource (277 pages)
Form of item
online
Isbn
9789811044991
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

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