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T-Cell Repertoire Characterization 2022 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 391 pages, height x width: 254x178 mm, weight: 765 g, 67 Illustrations, color; 6 Illustrations, black and white; XII, 391 p. 73 illus., 67 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 2574
  • Izdošanas datums: 12-Sep-2023
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1071627147
  • ISBN-13: 9781071627143
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 100,46 €*
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  • Standarta cena: 118,19 €
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  • Formāts: Paperback / softback, 391 pages, height x width: 254x178 mm, weight: 765 g, 67 Illustrations, color; 6 Illustrations, black and white; XII, 391 p. 73 illus., 67 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 2574
  • Izdošanas datums: 12-Sep-2023
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1071627147
  • ISBN-13: 9781071627143
Citas grāmatas par šo tēmu:
This volume provides a comprehensive compilation of protocols in T cell repertoire analysis, from the leading experts in the field, representing both well-established methods and cutting-edge advances. Chapters broadly cover the emerging new T cell subsets, sequencing technologies for capturing TCR repertoire, and computational tools for analyzing an ever-growing TCR repertoire, with a particular focus on how to link the sequence with TCR antigen specificity. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.





 





Authoritative and cutting-edge, T-Cell Repertoire Characterization aims to be a useful practical guide to researches to help further their study in this field. 
Ligand identification for Orphan MHC-agnostic T-cell receptors by whole
genome CRISPR-Cas9 screening.- Discovery of HLA-E-presented epitopes:
MHC-E/peptide binding and T cell recognition.- Identification of human
antigen-specific T cells using class II MHC tetramer staining and
enrichment.- Characterization of KIR+CD8+ regulatory T cells in humans by
scRNA- and TCR-seq.- Detection of -synuclein-specific T cells in Parkinsons
disease.- The intra-tumoural T cell receptor repertoire steps towards a
useful clinical biomarker.- Enriching and Characterizing T-Cell Repertoires
from 3 Barcoded Single-Cell Whole Transcriptome Amplification Products.-
Tetramer associated T cell receptor sequencing.- T-cell Repertoire
Characterization.- Characterization of mouse CD4 TCR and its targeting
antigen.- Rapid identification of MHCII-binding peptides through
microsphere-assisted peptide screening (MAPS).- A high throughput strategy
for T-Cell Receptor cloning and expression.- Epitope-specific T-cell receptor
data and tools in the Immune Epitope Database.- A Bioinformatic Framework for
Dissecting the Dynamics of T cells from Single-Cell Transcriptome.- Grouping
T-Cell Antigen Receptors by Specificity.- Flexible Distance-Based TCR
Analysis in Python with tcrdist3.- Multimodal T cell analysis with CoNGA.