Evidence map›Paper›PMID 31611696›Full record

ArticleNature biotechnology2019

Robust prediction of HLA class II epitopes by deep motif deconvolution of immunopeptidomes.

Julien Racle, Justine Michaux, Georg Alexander Rockinger, Marion Arnaud, Sara Bobisse, Chloe Chong, Philippe Guillaume, George Coukos, Alexandre Harari, Camilla Jandus and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 190 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed, 3 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

190 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Exosomes in pathogenesis, diagnosis, and therapy of ischemic stroke.Frontiers in bioengineering and biotechnology · 2022
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Therapeutic vaccines for NSCLC: From mechanisms to clinical translation.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Computational Methods for Cancer Neoantigen Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

130 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Julien RacleDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-0100-0323
Justine MichauxDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Georg Alexander RockingerDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Marion ArnaudDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Sara BobisseDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Chloe ChongDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Philippe GuillaumeDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
George CoukosDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Alexandre HarariDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Camilla JandusDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-7405-5747
Michal Bassani-SternbergDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland. michal.bassani@chuv.ch.ORCID http://orcid.org/0000-0002-1934-954X
David GfellerDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland. david.gfeller@unil.ch.ORCID http://orcid.org/0000-0002-3952-0930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictions of epitopes presented by class II human leukocyte antigen molecules (HLA-II) have limited accuracy, restricting vaccine and therapy design. Here we combined unbiased mass spectrometry with a motif deconvolution algorithm to profile and analyze a total of 99,265 unique peptides eluted from HLA-II molecules. We then trained an epitope prediction algorithm with these data and improved prediction of pathogen and tumor-associated class II neoepitopes.

Indexed as

AlgorithmsCell LineComputational BiologyEpitopesHistocompatibility Antigens Class IIHumansMass SpectrometryPeptidesEpitopesHistocompatibility Antigens Class IIPeptides

Identifiers

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.