scholarly journals Development of a flow cytometric co-immunoprecipitation technique for the study of multiple protein-protein interactions and its application to T-cell receptor analysis

2010 ◽  
Vol 77A (4) ◽  
pp. 338-346 ◽  
Author(s):  
John S. Bridgeman ◽  
Morgan Blaylock ◽  
Robert E. Hawkins ◽  
David E. Gilham
Keyword(s):  
T Cell ◽  
T Cell Receptor ◽  
Protein Interactions ◽  
Cell Receptor ◽  
Protein Protein Interactions ◽  
Flow Cytometric ◽  
Multiple Protein

scholarly journals T cell receptor (TCR) signaling in health and disease

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Kinjal Shah ◽  
Amr Al-Haidari ◽  
Jianmin Sun ◽  
Julhash U. Kazi
Keyword(s):  
Signal Transduction ◽  
T Cells ◽  
T Cell ◽  
T Cell Receptor ◽  
Protein Interactions ◽  
Adaptor Proteins ◽  
Cell Receptor ◽  
Signal Transduction Pathways ◽  
Protein Protein Interactions ◽  
Tcr Signaling

AbstractInteraction of the T cell receptor (TCR) with an MHC-antigenic peptide complex results in changes at the molecular and cellular levels in T cells. The outside environmental cues are translated into various signal transduction pathways within the cell, which mediate the activation of various genes with the help of specific transcription factors. These signaling networks propagate with the help of various effector enzymes, such as kinases, phosphatases, and phospholipases. Integration of these disparate signal transduction pathways is done with the help of adaptor proteins that are non-enzymatic in function and that serve as a scaffold for various protein–protein interactions. This process aids in connecting the proximal to distal signaling pathways, thereby contributing to the full activation of T cells. This review provides a comprehensive snapshot of the various molecules involved in regulating T cell receptor signaling, covering both enzymes and adaptors, and will discuss their role in human disease.

Flow Cytometric Detection of Neoplastic T Cells in Patients with Mycosis Fungoides Based on Levels of T-Cell Receptor Expression

1994 ◽  
Vol 102 (6) ◽  
pp. 856-860 ◽  
Author(s):  
Miroslaw Kuchnio ◽  
Edward A. Sausville ◽  
Elaine S. Jaffe ◽  
Timothy Greiner ◽  
Francine M. Foss ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Mycosis Fungoides ◽  
T Cell Receptor ◽  
Cell Receptor ◽  
Receptor Expression ◽  
Flow Cytometric

scholarly journals Expression of two alpha chains on the surface of T cells in T cell receptor transgenic mice.

1993 ◽  
Vol 178 (5) ◽  
pp. 1807-1811 ◽  
Author(s):  
W R Heath ◽  
J F Miller
Keyword(s):  
T Cells ◽  
T Cell ◽  
Transgenic Mice ◽  
T Cell Receptor ◽  
Cd8 T Cells ◽  
Flow Cytometric Analysis ◽  
Cell Receptor ◽  
Specific Monoclonal Antibody ◽  
Beta Chain ◽  
Flow Cytometric

CD8+ T cells taken directly from mice expressing a Kb-specific T cell receptor (TCR) transgene expressed the transgenic TCR in a bimodal profile as detected by flow cytometric analysis using a clonotype-specific monoclonal antibody. Those cells expressing the lower density of the transgenic TCR expressed the transgenic beta chain and two different alpha chains on their surface. One alpha chain was the product of the alpha transgene, whereas the other was derived by endogenous rearrangement. This report provides the first demonstration that T cells isolated directly from mice may express two different TCR clonotypes on their surface. The potential consequences of this finding for studies using TCR transgenic mice and for the induction of autoimmunity are discussed.

Rapid identification of local T cell expansion in inflammatory organ diseases by flow cytometric T cell receptor Vβ analysis

2000 ◽  
Vol 246 (1-2) ◽  
pp. 131-143 ◽  
Author(s):  
Paolo A Muraro ◽  
Marc Jacobsen ◽  
Antje Necker ◽  
James W Nagle ◽  
Rami Gaber ◽  
...  
Keyword(s):  
T Cell ◽  
T Cell Receptor ◽  
Cell Expansion ◽  
Cell Receptor ◽  
Rapid Identification ◽  
Flow Cytometric ◽  
T Cell Expansion ◽  
T Cell Receptor Vβ

scholarly journals LCK as a Potential Therapeutic Target for Acute Rejection after Kidney Transplantation: A Bioinformatics Clue

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Linpei Jia ◽  
Rufu Jia ◽  
Yinping Li ◽  
Xiaoxia Li ◽  
Qiang Jia ◽  
...  
Keyword(s):  
Kidney Transplantation ◽  
T Cell ◽  
Acute Rejection ◽  
T Cell Receptor ◽  
Protein Interactions ◽  
Therapeutic Target ◽  
Cell Receptor ◽  
Functional Enrichment ◽  
Literature Mining ◽  
Potential Therapeutic Target

Objectives. We aim to identify the key biomarker of acute rejection (AR) after kidney transplantation via bioinformatics methods. Methods. The gene expression data GSE75693 of 30 samples with stable kidney transplantation recipients and 15 AR samples were downloaded and analyzed by the limma package to identify differentially expressed genes (DEGs). Then, Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were done to explore the biological functions and potential important pathways of DEGs. Finally, protein-protein interactions (PPIs) and literature mining were applied to construct the cocitation network and to select the hub protein. Results. A total of 437 upregulated genes and 353 downregulated genes were selected according to P<0.01 and log2fold change>1.0. DEGs of AR are mainly located on membranes and impact the activation of receptors in immune responses. In the PPI network, Src kinase, lymphocyte kinase (LCK), CD3G, B2M, interferon-γ, CD3D, tumor necrosis factor, VAV1, and CD3E in the T cell receptor signaling pathway were selected as important factors, and LCK was identified as the hub protein. Conclusion. LCK, via acting on T-cell receptor, might be a potential therapeutic target for AR after kidney transplantation.

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