We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

X-ray Crystallography Explains Immune System Response

By LabMedica International staff writers
Posted on 24 Oct 2017
Print article
Image: A model of the solved protein complex responsible for the selection of antigens (Photo courtesy of AG Tampé).
Image: A model of the solved protein complex responsible for the selection of antigens (Photo courtesy of AG Tampé).
A team of German researchers used X-ray crystallography explain a critical step in the immune system's response to foreign proteins by establishing the structure of the critical TAPBPR–MHC I complex.

The chaperones Tapasin (Tsn) and TAP-binding protein-related (TAPBPR) facilitate MHC I peptide loading and high-affinity epitope selection. Despite the pivotal role of Tsn and TAPBPR in controlling the hierarchical immune response, their catalytic mechanism remains unknown.

The TAPBP gene encodes a transmembrane glycoprotein that mediates interaction between newly assembled major histocompatibility complex (MHC) class I molecules and the transporter associated with antigen processing (TAP), which is required for the transport of antigenic peptides across the endoplasmic reticulum membrane.

Tapasin is a MHC class I antigen-processing molecule present in the lumen of the endoplasmic reticulum. It plays an important role in the maturation of MHC class I molecules in the ER lumen. Tapasin is one component of the peptide-loading complex, and can be found associated with MHC class I molecules after the MHC class I heavy chain has associated with Beta2 microglobulin. The peptide-loading complex consists of TAP, tapasin, MHC class I, calreticulin, and ERp57. Tapasin recruits MHC class I molecules to the TAP peptide transporter, and also enhances loading of MHC class I with high-affinity peptides.

Investigators at Goethe University (Frankfurt, Germany) presented the X-ray structure of the TAPBPR–MHC I complex in the October 12, 2017, online edition of the journal Science. They reported that TAPBPR functioned as peptide selector by remodeling the MHC I alpha2-1-helix region, stabilizing the empty binding groove, and inserting a loop into the groove that interfered with peptide binding.

"Our work solves a 30 years old problem of cellular immunity, in particular how antigens associated with tumors or pathogens are selected through processes of editing and quality control in order to generate a specific immune response" said senior author Dr. Robert Tampé, professor of biochemistry at Goethe University.

Related Links:
Goethe University

New
Gold Member
Human Chorionic Gonadotropin Test
hCG Quantitative - R012
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Malondialdehyde HPLC Test
Malondialdehyde in Serum/Plasma – HPLC
New
PSA Test
Humasis PSA Card

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more