Evidence map›Paper›PMID 27920218›Full record

ArticleMolecular & cellular proteomics : MCP2017

A Molecular Basis for the Presentation of Phosphorylated Peptides by HLA-B Antigens.

Adán Alpízar, Fabio Marino, Antonio Ramos-Fernández, Manuel Lombardía, Anita Jeko, Florencio Pazos, Alberto Paradela, César Santiago, Albert J R Heck, Miguel Marcilla

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

37 citing papers in PubMed, 66 citations in OpenAlex.

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  8. Immunopeptidomics in the cancer immunotherapy era.Exploration of targeted anti-tumor therapy · 2024
    Review
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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

10 authors at 2 institutions in 2 countries.

Adán AlpízarFrom the ‡Proteomics Unit, Spanish National Biotechnology Centre (CSIC), Darwin 3, 28049, Madrid, Spain.
Fabio Marino§Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Science Faculty, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands.
Antonio Ramos-Fernández‖Proteobotics SL, Spanish National Biotechnology Centre (CSIC), Darwin 3, 28049, Madrid, Spain.
Manuel LombardíaFrom the ‡Proteomics Unit, Spanish National Biotechnology Centre (CSIC), Darwin 3, 28049, Madrid, Spain.
Anita Jeko§Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Science Faculty, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands.
Florencio Pazos**Computational Systems Biology Group, Spanish National Biotechnology Centre (CSIC), Darwin 3, 28049, Madrid, Spain.
Alberto ParadelaFrom the ‡Proteomics Unit, Spanish National Biotechnology Centre (CSIC), Darwin 3, 28049, Madrid, Spain.ORCID 0000-0001-6837-7056
César Santiago‡‡Macromolecular X-ray Crystallography Unit, Spanish National Biotechnology Centre (CSIC), Darwin 3, 28049, Madrid, Spain.ORCID 0000-0002-5149-1722
Albert J R Heck§Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Science Faculty, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands; A.J.R.Heck@uu.nl mmarcilla@cnb.csic.es.ORCID 0000-0002-2405-4404
Miguel MarcillaFrom the ‡Proteomics Unit, Spanish National Biotechnology Centre (CSIC), Darwin 3, 28049, Madrid, Spain; A.J.R.Heck@uu.nl mmarcilla@cnb.csic.es.ORCID 0000-0001-9171-5076
Centro Nacional de Biotecnología · ESUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As aberrant protein phosphorylation is a hallmark of tumor cells, the display of tumor-specific phosphopeptides by Human Leukocyte Antigen (HLA) class I molecules can be exploited in the treatment of cancer by T-cell-based immunotherapy. Yet, the characterization and prediction of HLA-I phospholigands is challenging as the molecular determinants of the presentation of such post-translationally modified peptides are not fully understood. Here, we employed a peptidomic workflow to identify 256 unique phosphorylated ligands associated with HLA-B*40, -B*27, -B*39, or -B*07. Remarkably, these phosphopeptides showed similar molecular features. Besides the specific anchor motifs imposed by the binding groove of each allotype, the predominance of phosphorylation at peptide position 4 (P4) became strikingly evident, as was the enrichment of basic residues at P1. To determine the structural basis of this observation, we carried out a series of peptide binding assays and solved the crystal structures of HLA-B*40 in complex with a phosphorylated ligand or its nonphosphorylated counterpart. Overall, our data provide a clear explanation to the common motif found in the phosphopeptidomes associated to different HLA-B molecules. The high prevalence of phosphorylation at P4 is dictated by the presence of the conserved residue Arg62 in the heavy chain, a structural feature shared by most HLA-B alleles. In contrast, the preference for basic residues at P1 is allotype-dependent and might be linked to the structure of the A pocket. This molecular understanding of the presentation of phosphopeptides by HLA-B molecules provides a base for the improved prediction and identification of phosphorylated neo-antigens, as potentially used for cancer immunotherapy.

Indexed as

Amino Acid MotifsCell LineCrystallography, X-RayHLA-B40 AntigenHLA-B AntigensHumansModels, MolecularPeptidesPhosphorylationProtein BindingProteomicsHLA-B40 AntigenHLA-B AntigensPeptides

Identifiers

PMID27920218
PMCPMC5294207
OpenAlexW2560850049

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.