Evidence map›Paper›PMID 40501710›Full record

ArticlebioRxiv : the preprint server for biology2025

High-throughput screening for class I peptide MHC binding via yeast surface display.

Patrick V Holec, Kathryn C Breuckman, Owen Leddy, Forest M White, Bryan D Bryson, Michael E Birnbaum

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Patrick V Holec
Kathryn C Breuckman
Owen Leddy
Forest M White
Michael E BirnbaumORCID 0000-0002-2281-3518

Funding

Repertoire-scale T cell antigen identification via peptide-MHC lentivirus displayDP2AI158126 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BIRNBAUM, MICHAEL · 2020 to 2020
$2.3M
Development of an emulsion-based method for repertoire-scale paired-chain T cell receptor sequencingR21AI156664 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BIRNBAUM, MICHAEL · 2021 to 2022
$414k
NIAID NIH HHS DP2 AI158126NIAID NIH HHS R21 AI156664
6 · The paper itself

Abstract

T cells rely on short peptides presented by highly polymorphic major histocompatibility complexes (MHCs) to selectively initiate adaptive immune responses. Despite its importance, few techniques can systemically evaluate stable peptide presentation across diverse MHC alleles. Here, we describe a yeast display pipeline that can be deployed to rapidly screen proteomic space to identify class I pMHC binders across many alleles. Through this, we capture unique biological phenomena such as interference with peptide presentation via type IV drug-induced hypersensitivity. We apply this approach to multiple pathogen proteomes (Mtb Type 7S substrates, SARS-CoV-2, Dengue, and Zika) to create a high-resolution catalog of potential T cell antigens. Altogether, this platform acts as a flexible tool to generate large unbiased datasets for class I peptide presentation at a speed and scale competitive with the biological systems they represent.

Identifiers

PMID40501710
PMCPMC12154660

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.