Related Experiment Video
Updated: Feb 10, 2026
08:57
Peptide and Protein Quantification Using Automated Immuno-MALDI iMALDI
Published on: August 18, 2017
8.3K
Minimal Information About an Immuno-Peptidomics Experiment (MIAIPE)
Jennie R Lill1, Peter A van Veelen2, Stefan Tenzer3
1Department of Microchemistry, Proteomics and Lipidomics, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Proteomics
|May 24, 2018
Summary
The Human Immuno-Peptidome Project (HIPP) developed Minimal Information about Immuno-Peptidomics Experiments (MIAIPE) guidelines. These guidelines ensure robust evaluation and interpretation of immunopeptidomics data.
Area of Science:
- Immunology
- Proteomics
- Bioinformatics
Background:
- Immunopeptidomics is crucial for understanding immune responses.
- Standardized reporting is needed for reproducible immunopeptidomics studies.
- Existing guidelines (MIAPE) may not cover immunopeptidomics specifics.
Purpose of the Study:
- To establish Minimal Information about Immuno-Peptidomics Experiments (MIAIPE) guidelines.
- To define the essential data required for evaluating immunopeptidomics experiments.
- To support the Human Immuno-Peptidome Project (HIPP) and HUPO initiatives.
Main Methods:
- Development of technical guidelines by HIPP members.
- Focus on sample preparation, mass spectrometry, and bioinformatics.
- Addressing aspects unique to immunopeptidomics.
Main Results:
- MIAIPE guidelines provide a framework for reporting immunopeptidomics data.
- The guidelines cover critical experimental and analytical details.
- Ensures sufficient information for data interpretation.
Conclusions:
- MIAIPE guidelines are essential for standardizing immunopeptidomics research.
- Adherence to MIAIPE will enhance data quality and comparability.
- Facilitates robust interpretation of immunopeptidomics findings.
More Related Videos
Related Concept Videos
01:12What is an Experiment?
19.0K
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
19.0K
01:19Thomson's e/m Experiment
6.9K
In a beam of charged particles created by a heated cathode, the particles move at different speeds. However, many applications need a beam with uniform particle speeds. An arrangement known as a velocity selector uses electric and magnetic fields to pick particles with a particular speed from the beam.
A particle with charge q, speed v, and mass m enters an area from the top, where the magnetic and electric fields are perpendicular both to the particle's motion and to one another. The magnetic...
A particle with charge q, speed v, and mass m enters an area from the top, where the magnetic and electric fields are perpendicular both to the particle's motion and to one another. The magnetic...
6.9K
01:13Controls in Experiments
18.2K
When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
18.2K
01:13Randomized Experiments
9.1K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
9.1K
01:16Crossover Experiments
4.6K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
4.6K
03:20The Stanford Prison Experiment
24.8K
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
24.8K