Evidence map›Paper›PMID 42039546›Full record

ArticlebioRxiv : the preprint server for biology2026

COMBO-RATE: An experimentally validated bioinformatic tool to identify promiscuous HLA restrictions.

Jessica Nevarez-Mejia, Raphael Trevizani, Adam Abawi, Emil Johansson, Aaron Sutherland, Alba Grifoni, Ricardo da Silva Antunes, Alessandro Sette

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jessica Nevarez-MejiaCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.ORCID 0000-0003-3390-4818
Raphael TrevizaniCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Adam AbawiCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Emil JohanssonCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Aaron SutherlandCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Alba GrifoniCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
Ricardo da Silva AntunesCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.ORCID 0000-0001-9785-5272
Alessandro SetteCenter for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.

Funding

Single-cell atlas of lung tissue-resident memory T cells reactive to upper and lower respiratory tract pathogensU19AI118626 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Alessandro Sette · 2015 to 2026
$36.7M
T follicular helper (Tfh) CD4+ T cell, germinal center, and antibody response dysfunction in human recurrent tonsillitisU19AI142742 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Shane P Crotty · 2019 to 2026
$32.8M
Training in Immunological MechanismsT32AI125179 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI CROFT, MICHAEL · 2016 to 2025
$3.1M
THE IDENTIFICATION AND VALIDATION OF EPITOPES CONSERVED IN VIRAL PATHOGEN FAMILIES WITH PANDEMIC POTENTIAL75N93024C00056 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI FABRITZKY, BRANDON · 2024 to 2025
$2.1M
NIAID NIH HHS T32 AI125179NIAID NIH HHS U19 AI118626NIAID NIH HHS U19 AI142742NIH HHS 75N93024C00056
6 · The paper itself

Abstract

Defining HLA restriction of T cell epitopes is essential for understanding immune responses in infectious disease, autoimmunity, and vaccine design. Current bioinformatic programs, including the IEDB RATE tool, enable inference of single-HLA restrictions from immune response data of HLA-typed donors. However, T cell epitopes are frequently presented by multiple HLA alleles, a phenomenon termed promiscuous restriction, limiting the utility of single-allele approaches. To address this limitation, we developed COMBO-RATE, an extension of RATE that systematically evaluates combinations of HLA alleles to identify multi-allelic restriction patterns. Analysis of three independent datasets spanning distinct antigen systems and different epitope discovery strategies revealed that promiscuous restriction is a near-universal feature of immunodominant epitopes. Focusing on the 43 immunodominant CD4

Identifiers

PMID42039546
PMCPMC13104871

What OpenQuestion holds

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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.