Evidence map›Paper›PMID 39021788›Full record

ArticleiScience2024

BTLA and PD-1 signals attenuate TCR-mediated transcriptomic changes.

Muhammad Zainul Arifin, Judith Leitner, Donagh Egan, Petra Waidhofer-Söllner, Walter Kolch, Vadim Zhernovkov, Peter Steinberger

Erratum issuedAbstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. MutantFrontiers in immunology · 2026
    Article
  4. Review
  5. Immune checkpoint for pregnancy.Seminars in immunopathology · 2025
    Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Muhammad Zainul ArifinSystems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Judith LeitnerCenter for Pathophysiology, Infectiology and Immunology, Institute of Immunology, Medical University of Vienna, Vienna, Austria.
Donagh EganSystems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Petra Waidhofer-SöllnerCenter for Pathophysiology, Infectiology and Immunology, Institute of Immunology, Medical University of Vienna, Vienna, Austria.
Walter KolchSystems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Vadim ZhernovkovSystems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
Peter SteinbergerCenter for Pathophysiology, Infectiology and Immunology, Institute of Immunology, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cell co-inhibitory immune checkpoints, such as PD-1 or BTLA, are bona fide targets in cancer therapy. We used a human T cell reporter line to measure transcriptomic changes mediated by PD-1- and BTLA-induced signaling. T cell receptor (TCR)-complex stimulation resulted in the upregulation of a large number of genes but also in repression of a similar number of genes. PD-1 and BTLA signals attenuated transcriptomic changes mediated by TCR-complex signaling: upregulated genes tended to be suppressed and the expression of a significant number of downregulated genes was higher during PD-1 or BTLA signaling. BTLA was a significantly stronger attenuator of TCR-complex-induced transcriptome changes than PD-1. A strong overlap between genes that were regulated indicated quantitative rather than qualitative differences between these receptors. In line with their function as attenuators of TCR-complex-mediated changes, we found strongly regulated genes to be prime targets of PD-1 and BTLA signaling.

Indexed as

Molecular biologyTranscriptomics

Identifiers

PMID39021788
PMCPMC11253514

What OpenQuestion holds

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Registered trials

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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.