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Updated: Oct 6, 2025

Stability and Structure of Bat Major Histocompatibility Complex Class I with Heterologous β2-Microglobulin

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Minimal Information about MHC Multimers (MIAMM).

Randi Vita¹, Apurva Mody², James A Overton³

¹Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA; rvita@lji.org.

Journal of Immunology (Baltimore, Md. : 1950)

|January 19, 2022

Summary

We introduce Minimal Information about MHC Multimers (MIAMM), a new data standard to enhance the reproducibility and annotation of MHC multimer reagent data. This standard aims to improve the quality and documentation of multimer data in scientific literature.

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Last Updated: Oct 6, 2025

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Published on: March 10, 2021

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Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

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Published on: October 15, 2021

Area of Science:

Immunology
Bioinformatics
Data Standards

Background:

MHC multimer reagents are crucial for studying T-cell responses.
Current data reporting lacks standardization, hindering reproducibility and data sharing.
Reproducibility and annotatability of multimer data are critical for scientific advancement.

Purpose of the Study:

To establish a novel data standard for MHC multimer reagents.
To improve the reproducibility and annotatability of MHC multimer data.
To promote wider adoption and acceptance of standardized data formats.

Main Methods:

Development of the Minimal Information about MHC Multimers (MIAMM) standard.
Creation of an online website to host MIAMM standard details.
Implementation of a validation tool to support MIAMM adoption.

Main Results:

A new data standard, MIAMM, has been established and published.
An online platform and validation tool are available to facilitate standard implementation.
The standard provides a framework for representing multimer data using ontology terminology.

Conclusions:

The MIAMM standard offers a solution for consistent MHC multimer data reporting.
Increased awareness and adoption of MIAMM will enhance data quality in scientific literature.
This initiative aims to improve the overall quality and documentation of multimer data.