Evidence map›Paper›PMID 32897882›Full record

ArticleJCI insight2020

Solving an MHC allele-specific bias in the reported immunopeptidome.

Martin G Klatt, Kyeara N Mack, Yang Bai, Zita E H Aretz, Levy I Nathan, Sung Soo Mun, Tao Dao, David A Scheinberg

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Technical review of artificial intelligence in TCR-T therapy.Journal of the National Cancer Center · 2026
    Review
  3. Article
  4. Article
  5. CD8 co-receptor modulates the specificity profile of the 1G4 TCR against NY-ESO-1.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  6. Article
  7. Review
  8. Article
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  10. Article
  11. Review
  12. Article
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  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Frontiers in immunology · 2022
    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

8 authors at 1 institution in 1 country.

Martin G KlattMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Kyeara N MackMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Yang BaiMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Zita E H AretzMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Levy I NathanMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Sung Soo MunMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Tao DaoMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
David A ScheinbergMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
T LYMPHOCYTE SUBSET FUNCTION POST-TRANSPLANTATIONP01CA023766 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI PAMER, ERIC G. · 1985 to 2023
$59.0M
Understanding and Mimicking TCR Recognition with Therapeutic Monoclonal Antibodies.R35CA241894 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI DAVID A SCHEINBERG · 2020 to 2026
$7.2M
RECOMBINANT ANTICD33 ANTIBODY FOR AMLR01CA055349 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SCHEINBERG, DAVID A · 1991 to 2020
$6.8M
NCI NIH HHS P01 CA023766NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA055349NCI NIH HHS R35 CA241894
6 · The paper itself

Abstract

Identification of MHC class I-bound peptides by immunopurification of MHC complexes and subsequent analysis by mass spectrometry is crucial for understanding T cell immunology and immunotherapy. Investigation of the steps for the MHC ligand isolation process revealed biases in widely used isolation techniques toward peptides of lower hydrophobicity. As MHC ligand hydrophobicity correlates positively with immunogenicity, identification of more hydrophobic MHC ligands could potentially lead to more effective isolation of immunogenic peptides as targets for immunotherapies. We solved this problem by use of higher concentrations of acetonitrile for the separation of MHC ligands and their respective complexes. This increased overall MHC ligand identifications by 2-fold, increased detection of cancer germline antigen-derived peptides by 50%, and resulted in profound variations in isolation efficacy between different MHC alleles correlating with the hydrophobicity of their anchor residues. Overall, these insights enabled a more complete view of the immunopeptidome and overcame a systematic underrepresentation of these critical MHC ligands of high hydrophobicity.

Indexed as

AcetonitrilesAntigen PresentationChromatography, AffinityHistocompatibility Antigens Class IHumansLeukemia, Myeloid, AcuteLigandsPeptide FragmentsTumor Cells, CulturedacetonitrileAcetonitrilesHistocompatibility Antigens Class ILigandsPeptide FragmentsAntigen presentationImmunologyImmunotherapyMHC class 1

Identifiers

PMID32897882
PMCPMC7566711
OpenAlexW3084067123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.