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T-Cell Motility

Overview of attention for book
Cover of 'T-Cell Motility'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to LFA-1/ICAM-1 Interactions in T-Cell Motility
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    Chapter 2 Isolation of Human Peripheral Blood T-Lymphocytes
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    Chapter 3 A Laboratory Model to Study T-Cell Motility
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    Chapter 4 Quantification of T-Cell Migratory Phenotypes Using High-Content Analysis
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    Chapter 5 Live Cell Imaging and Analysis to Capture T-Cell Motility in Real-Time
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    Chapter 6 Three-Dimensional Structured Illumination Microscopy (3D-SIM) to Dissect Signaling Cross-Talks in Motile T-Cells
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    Chapter 7 Real-Time Impedance-Based Detection of LFA-1-Stimulated T-Cell Transwell Chemotaxis
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    Chapter 8 Quantitative Real-Time PCR for Evaluating Transcriptional Changes in T-Lymphocytes
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    Chapter 9 GapmeR-Mediated Gene Silencing in Motile T-Cells
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    Chapter 10 Live Imaging of Resident T-Cell Migration in Human Lymphoid Tissue Slices Using Confocal Microscopy
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    Chapter 11 Phosphoprotein Enrichment for Protein Analysis in Motile T-Lymphocytes
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    Chapter 12 Immunometabolomic Phenotyping of Motile T-Cells
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    Chapter 13 Profiling Activity of Cellular Kinases in Migrating T-Cells
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    Chapter 14 Biotinylation Assay to Determine LFA-1 Recycling in Motile T-Lymphocytes
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    Chapter 15 A Protocol to Study T-Cell Signaling in an Immune Synapse by Microscopy
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    Chapter 16 Enzyme-Linked Immunosorbent Assay for T-Cell Dependent Immunogenicity Assessment of Therapeutic Peptides
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    Chapter 17 Modified Intravital Microscopy to Assess Vascular Health and T-Cell Motility
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    Chapter 18 Computational Analysis of Protein–Protein Interactions in Motile T-Cells
Attention for Chapter 12: Immunometabolomic Phenotyping of Motile T-Cells
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Chapter title
Immunometabolomic Phenotyping of Motile T-Cells
Chapter number 12
Book title
T-Cell Motility
Published by
Humana Press, New York, NY, January 2019
DOI 10.1007/978-1-4939-9036-8_12
Pubmed ID
30610603
Book ISBNs
978-1-4939-9035-1, 978-1-4939-9036-8
Authors

Madhavi Latha Somaraju Chalasani, Gaelin Looi Wen Dong, Navin Kumar Verma

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Business, Management and Accounting 1 25%
Immunology and Microbiology 1 25%
Unknown 1 25%

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