Evidence map›Paper›PMID 30408168›Full record

ArticleImmunology2019

PRBAM: a new tool to analyze the MHC class I and HLA-DR anchor motifs.

Anna Mestre-Ferrer, Erika Scholz, Jepi Humet-Alsius, Iñaki Alvarez

Abstract read
In one paragraph

Article in Immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anna Mestre-FerrerImmunology Unit, Department of Cell Biology, Physiology and Immunology, Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Erika ScholzImmunology Unit, Department of Cell Biology, Physiology and Immunology, Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Jepi Humet-AlsiusIndependent Researcher.
Iñaki AlvarezImmunology Unit, Department of Cell Biology, Physiology and Immunology, Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.ORCID 0000-0001-9484-0868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major histocompatibility complex (MHC) genes are highly polymorphic, which makes each MHC molecule different regarding their peptide repertoire, so they can bind and present to T lymphocytes. The increasing importance of immunopeptidomics and its use in personalized medicine in different fields such as oncology or autoimmunity demand the correct analysis of the peptide repertoires bound to human leukocyte antigen type 1 (HLA-I) and HLA-II molecules. Purification of the peptide pool by affinity chromatography and individual peptide sequencing using mass spectrometry techniques is the standard protocol to define the binding motifs of the different MHC-I and MHC-II molecules. The identification of MHC-I binding motifs is relatively simple, but it is more complicated for MHC-II. There are some programs that identify the anchor motifs of MHC-II molecules. However, these programs do not identify the anchor motif correctly for some HLA-II molecules and some anchor motifs have been deduced using subjective interpretation of the data. Here, we present a new software, called PRBAM (Peptide Repertoire-Based Anchor Motif) that uses a new algorithm based on the peptide-MHC interactions and, using peptide lists obtained by mass spectrometry sequencing, identifies the binding motif of MHC-I and HLA-DR molecules. PRBAM has an easy-to-use interface, and the results are presented in graphics, tables and peptide lists. Finally, the fact that PRBAM uses a new algorithm makes it complementary to other existing programs.

Indexed as

Sequence Analysis, ProteinSoftwareAmino Acid MotifsHistocompatibility Antigens Class IHLA-DR AntigensHumansHistocompatibility Antigens Class IHLA-DR Antigensantigen presentationbioinformaticsMHC/HLApeptidomeproteomics

Identifiers

PMID30408168
PMCPMC6328992

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Registered trials

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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.