Evidence map›Paper›PMID 26992070›Full record

ArticleProteomics2016

High-sensitivity HLA class I peptidome analysis enables a precise definition of peptide motifs and the identification of peptides from cell lines and patients' sera.

Danilo Ritz, Andreas Gloger, Benjamin Weide, Claus Garbe, Dario Neri, Tim Fugmann

Abstract read
In one paragraph

Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–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

40 citing papers in PubMed.

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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

6 authors.

Danilo RitzPhilochem AG, Otelfingen, Switzerland.
Andreas GlogerInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Benjamin WeideDepartment of Dermatology, Division of Dermatologic Oncology, Eberhard-Karls-University, Tuebingen, Germany.
Claus GarbeDepartment of Dermatology, Division of Dermatologic Oncology, Eberhard-Karls-University, Tuebingen, Germany.
Dario NeriInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Tim FugmannPhilochem AG, Otelfingen, Switzerland.

Funding

European Research Council 670603
6 · The paper itself

Abstract

The characterization of peptides bound to human leukocyte antigen (HLA) class I is of fundamental importance for understanding CD8+ T cell-driven immunological processes and for the development of immunomodulatory therapeutic strategies. However, until now, the mass spectrometric analysis of HLA-bound peptides has typically required billions of cells, still resulting in relatively few high-confidence peptide identifications. Capitalizing on the recent developments in mass spectrometry and bioinformatics, we have implemented a methodology for the efficient recovery of acid-eluted HLA peptides after purification with the pan-reactive antibody W6/32 and have identified a total of 27 862 unique peptides with high confidence (1% false discovery rate) from five human cancer cell lines. More than 93% of the identified peptides were eight to 11 amino acids in length and contained signatures that were in excellent agreement with published HLA binding motifs. Furthermore, by purifying soluble HLA class I complexes (sHLA) from sera of melanoma patients, up to 972 high-confidence peptides could be identified, including melanoma-associated antigens already described in the literature. Knowledge of the HLA class I peptidome should facilitate multiplex tetramer technology-based characterization of T cells, and allow the development of patient selection, stratification and immunomodulatory therapeutic strategies.

Indexed as

Amino Acid MotifsAmino Acid SequenceAntigens, NeoplasmBiomarkers, TumorCase-Control StudiesConsensus SequenceHEK293 CellsHistocompatibility Antigens Class IHL-60 CellsHumansMelanomaPeptidesProtein BindingProtein Interaction Domains and MotifsSpondylitis, AnkylosingAntigens, NeoplasmBiomarkers, TumorHistocompatibility Antigens Class IPeptidesBiomedicineHLA class IImmunopeptidomicsMelanomasHLA tumor-associated epitopes

Identifiers

PMID26992070
PMCPMC5557336

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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.