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T-Cell Repertoire Characterization

Overview of attention for book
T-Cell Repertoire Characterization
Springer US

Table of Contents

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    Book Overview
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    Chapter 1 Ligand Identification for Orphan MHC-Agnostic T-Cell Receptors by Whole Genome CRISPR–Cas9 Screening
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    Chapter 2 Discovery of HLA-E-Presented Epitopes: MHC-E/Peptide Binding and T-Cell Recognition
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    Chapter 3 Identification of Human Antigen-Specific T Cells Using Class II MHC Tetramer Staining and Enrichment
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    Chapter 4 Characterization of KIR+CD8+ Regulatory T Cells in Humans by scRNA- and TCR-seq
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    Chapter 5 Detection of α-Synuclein-Specific T Cells in Parkinson’s Disease
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    Chapter 6 The Intra-Tumoral T Cell Receptor Repertoire: Steps Towards a Useful Clinical Biomarker
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    Chapter 7 Enriching and Characterizing T Cell Repertoires from 3′ Barcoded Single-Cell Whole Transcriptome Amplification Products
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    Chapter 8 Tetramer-Associated T Cell Receptor Sequencing
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    Chapter 9 T-Cell Repertoire Characterization
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    Chapter 10 Characterization of Mouse CD4 TCR and Its Targeting Antigen
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    Chapter 11 Rapid Identification of MHCII-Binding Peptides Through Microsphere-Assisted Peptide Screening (MAPS)
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    Chapter 12 A High-Throughput Strategy for T-Cell Receptor Cloning and Expression
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    Chapter 13 Epitope-Specific T Cell Receptor Data and Tools in the Immune Epitope Database
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    Chapter 14 A Bioinformatic Framework for Dissecting the Dynamics of T Cells from Single-Cell Transcriptome
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    Chapter 15 Grouping T-Cell Antigen Receptors by Specificity
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    Chapter 16 Flexible Distance-Based TCR Analysis in Python with tcrdist3
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    Chapter 17 Multimodal T Cell Analysis with CoNGA
Attention for Chapter 15: Grouping T-Cell Antigen Receptors by Specificity
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Chapter title
Grouping T-Cell Antigen Receptors by Specificity
Chapter number 15
Book title
T-Cell Repertoire Characterization
Published by
Humana, New York, NY, September 2022
DOI 10.1007/978-1-0716-2712-9_15
Pubmed ID
Book ISBNs
978-1-07-162711-2, 978-1-07-162712-9
Authors

Wang, Chunlin, Huang, Huang, Davis, Mark M.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 25%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Unknown 4 50%
Readers by discipline Count As %
Unspecified 2 25%
Biochemistry, Genetics and Molecular Biology 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 4 50%