Evidence map›Paper›PMID 37002335›Full record

ArticleScientific reports2023

An ultra-high-throughput screen for the evaluation of peptide HLA-Binder interactions.

Stefan Krämer, Andreas Moritz, Luca Stehl, Meike Hutt, Martin Hofmann, Claudia Wagner, Sebastian Bunk, Dominik Maurer, Günter Roth, Johannes Wöhrle

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

10 authors at 4 institutions in 2 countries.

Stefan Krämer *BioCopy GmbH, 79312, Emmendingen, Germany. stefan.kraemer@biocopy.de.
Andreas Moritz *Immatics Biotechnologies GmbH, 72076, Tübingen, Germany.
Luca StehlBioCopy GmbH, 79312, Emmendingen, Germany.
Meike HuttImmatics Biotechnologies GmbH, 72076, Tübingen, Germany.
Martin HofmannImmatics Biotechnologies GmbH, 72076, Tübingen, Germany.
Claudia WagnerImmatics Biotechnologies GmbH, 72076, Tübingen, Germany.
Sebastian BunkImmatics Biotechnologies GmbH, 72076, Tübingen, Germany.
Dominik MaurerImmatics Biotechnologies GmbH, 72076, Tübingen, Germany.
Günter RothBioCopy GmbH, 79312, Emmendingen, Germany.
Johannes Wöhrle *BioCopy GmbH, 79312, Emmendingen, Germany.
Immatics Biotechnologies (Germany) · DEZentrum für Psychiatrie Emmendingen · DEAllgemeine Gewerbeschule Basel · CHBiocon (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptide human leukocyte antigen (pHLA) targeting therapeutics like T-cell receptor based adoptive cell therapy or bispecific T cell engaging receptor molecules hold great promise for the treatment of cancer. Comprehensive pre-clinical screening of therapeutic candidates is important to ensure patient safety but is challenging because of the size of the potential off-target space. By combining stabilized peptide-receptive HLA molecules with microarray printing and screening, we have developed an ultra-high-throughput screening platform named ValidaTe that enables large scale evaluation of pHLA-binder interactions. We demonstrate its potential by measuring and analyzing over 30.000 binding curves for a high-affinity T cell Engaging Receptor towards a large pHLA library. Compared to a dataset obtained by conventional bio-layer interferometry measurements, we illustrate that a massively increased throughput (over 650 fold) is obtained by our microarray screening, paving the way for use in pre-clinical safety screening of pHLA-targeting drugs.

Indexed as

NeoplasmsPeptidesHumansPeptide LibraryReceptors, Antigen, T-CellPeptide LibraryPeptidesReceptors, Antigen, T-Cell

Identifiers

PMID37002335
PMCPMC10066226
OpenAlexW4362522016

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.