ArticleProteomics2018
Minimal Information About an Immuno-Peptidomics Experiment (MIAIPE).
Article in Proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines.PLoS computational biology · 2025Article
- The Immunopeptidomics Ontology (ImPO).Database : the journal of biological databases and curation · 2024Article
- Amino acid insertion in Bat MHC-I enhances complex stability and augments peptide presentation.Communications biology · 2024Article
- Emerging potential of immunopeptidomics by mass spectrometry in cancer immunotherapy.Cancer science · 2024Review
- Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Development of a semi-automated MHC-associated peptide proteomics (MAPPs) method using streptavidin bead-based immunoaffinity capture and nano LC-MS/MS to support immunogenicity risk assessment in drug development.Frontiers in immunology · 2023Article
- Mild Acid Elution and MHC Immunoaffinity Chromatography Reveal Similar Albeit Not Identical Profiles of the HLA Class I Immunopeptidome.Journal of proteome research · 2021Article
- Is the Immunopeptidome Getting Darker?: A Commentary on the Discussion around Mishto et al., 2019.Frontiers in immunology · 2021Article
- A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.Briefings in bioinformatics · 2020Review
- T Cell Epitope Predictions.Annual review of immunology · 2020Review
- The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.Molecular & cellular proteomics : MCP · 2020Article
- Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project.Journal of proteome research · 2019Article
- Apparent Lack ofFrontiers in immunology · 2019Article
- Minimal Information About an Immuno-Peptidomics Experiment (MIAIPE).Proteomics · 2018Article
- Predicting Antigen Presentation-What Could We Learn From a Million Peptides?Frontiers in immunology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Minimal information about an immuno-peptidomics experiment (MIAIPE) is an initiative of the members of the Human Immuno-Peptidome Project (HIPP), an international program organized by the Human Proteome Organization (HUPO). The aim of the MIAIPE guidelines is to deliver technical guidelines representing the minimal information required to sufficiently support the evaluation and interpretation of immunopeptidomics experiments. The MIAIPE document has been designed to report essential information about sample preparation, mass spectrometric measurement, and associated mass spectrometry (MS)-related bioinformatics aspects that are unique to immunopeptidomics and may not be covered by the general proteomics MIAPE (minimal information about a proteomics experiment) guidelines.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.