Evidence map›Paper›PMID 37142057›Full record

ArticleMolecular & cellular proteomics : MCP2023

Sensitive, High-Throughput HLA-I and HLA-II Immunopeptidomics Using Parallel Accumulation-Serial Fragmentation Mass Spectrometry.

Kshiti Meera Phulphagar, Claudia Ctortecka, Alvaro Sebastian Vaca Jacome, Susan Klaeger, Eva K Verzani, Gabrielle M Hernandez, Namrata D Udeshi, Karl R Clauser, Jennifer G Abelin, Steven A Carr

Open access · goldAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Benchmarking Software for DDA-PASEF Immunopeptidomics.Molecular & cellular proteomics : MCP · 2026
    Article
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  10. Review
  11. Article
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  14. Review
  15. Article
  16. TIMSJournal of proteome research · 2025
    Article
  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Kshiti Meera Phulphagar
Claudia Ctortecka
Alvaro Sebastian Vaca Jacome
Susan Klaeger
Eva K Verzani
Gabrielle M Hernandez
Namrata D Udeshi
Karl R Clauser
Jennifer G Abelin
Steven A Carr
Bruker (United States) · US

Funding

ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI CARR, STEVEN A · 2016 to 2025
$17.0M
Center of Excellence for High Throughput Proteogenomic CharacterizationU24CA270823 · NCI · BROAD INSTITUTE, INC. · PI STEVEN A CARR, MICHAEL A GILLETTE · 2022 to 2026
$5.3M
Proteogenomic Predictors of Recurrence in Non-small Cell Lung CancerU01CA271402 · NCI · WASHINGTON UNIVERSITY · PI STEVEN A CARR, MICHAEL A GILLETTE · 2022 to 2026
$5.0M
NCI NIH HHS P01 CA206978NCI NIH HHS U01 CA271402NCI NIH HHS U24 CA270823
6 · The paper itself

Abstract

Comprehensive and in-depth identification of the human leukocyte antigen class I (HLA-I) and class II (HLA-II) tumor immunopeptidome can inform the development of cancer immunotherapies. Mass spectrometry (MS) is a powerful technology for direct identification of HLA peptides from patient-derived tumor samples or cell lines. However, achieving sufficient coverage to detect rare and clinically relevant antigens requires highly sensitive MS-based acquisition methods and large amounts of sample. While immunopeptidome depth can be increased by off-line fractionation prior to MS, its use is impractical when analyzing limited amounts of primary tissue biopsies. To address this challenge, we developed and applied a high-throughput, sensitive, and single-shot MS-based immunopeptidomics workflow that leverages trapped ion mobility time-of-flight MS on the Bruker timsTOF single-cell proteomics system (SCP). We demonstrate greater than twofold improved coverage of HLA immunopeptidomes relative to prior methods with up to 15,000 distinct HLA-I and HLA-II peptides from 4e7 cells. Our optimized single-shot MS acquisition method on the timsTOF SCP maintains high coverage, eliminates the need for off-line fractionation, and reduces input requirements to as few as 1e6 A375 cells for >800 distinct HLA-I peptides. This depth is sufficient to identify HLA-I peptides derived from cancer-testis antigen and noncanonical proteins. We also apply our optimized single-shot SCP acquisition methods to tumor-derived samples, enabling sensitive, high-throughput, and reproducible immunopeptidome profiling with detection of clinically relevant peptides from less than 4e7 cells or 15 mg wet weight tissue.

Indexed as

Histocompatibility Antigens Class INeoplasmsCell LineHumansMaleMass SpectrometryPeptidesHistocompatibility Antigens Class IPeptideshigh-throughput acquisitionHLA-I and II immunopeptidomicssensitive single-shot MS analysistrapped ion mobility

Identifiers

PMID37142057
PMCPMC10326702
OpenAlexW4367692825

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.