Evidence map›Paper›PMID 40650080›Full record

ArticleInternational journal of molecular sciences2025

Full-Length Transcriptome Sequencing Reveals Treg-Specific Isoform Expression upon Activation.

Yohei Sato, Erika Osada, Yoshinobu Manome

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Yohei SatoProject Research Unit, Laboratory of Immune Cell Therapy, The Jikei University School of Medicine, Tokyo 105-8461, Japan.ORCID 0000-0002-8042-0069
Erika OsadaCore Research Facilities, Research Center for Medical Sciences, The Jikei University School of Medicine, Tokyo 105-8461, Japan.
Yoshinobu ManomeCore Research Facilities, Research Center for Medical Sciences, The Jikei University School of Medicine, Tokyo 105-8461, Japan.ORCID 0000-0002-8755-8976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FOXP3+ regulatory T cells (Tregs) play a central role in the regulation of the immune system. Human Tregs preferentially express a FOXP3 isoform known as delta 2, which lacks exon 2. In addition to FOXP3, Tregs also express isoforms of other Treg-related molecules, such as CTLA-4 and IKZF-2. It is hypothesized that Tregs possess a unique isoform repertoire based on their unique gene and isoform expression profiles, which include FOXP3. Here, we identified a Treg-specific unique isoform repertoire confirmed by long-read high-throughput isoform sequencing called Iso-seq, which is uniquely capable of providing data on genome-wide isoform usage. Notably, while conventional T cells (Tconvs) do not exhibit this pattern, Tregs preferentially express the full-length FOXP3 isoform. Interestingly, the preferential expression of ICOS and PD-L1 upon T-cell receptor (TCR) stimulation was noted in activated Tregs but not in Tconvs or non-activated Tregs. Moreover, using a PD-L1 antibody blockade on Tregs did not diminish FOXP3 expression; however, it significantly reduced the suppressive function. Therefore, Tregs may have a unique isoform repertoire, which becomes pronounced upon polyclonal TCR stimulation.

Indexed as

Forkhead Transcription FactorsLymphocyte ActivationT-Lymphocytes, RegulatoryTranscriptomeB7-H1 AntigenCTLA-4 AntigenGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansProtein IsoformsReceptors, Antigen, T-CellB7-H1 AntigenCD274 protein, humanCTLA-4 AntigenForkhead Transcription FactorsFOXP3 protein, humanProtein IsoformsReceptors, Antigen, T-CellFOXP3Iso-seqPD-L1regulatory T cells (Tregs)RNA-seq

Identifiers

PMID40650080
PMCPMC12249553

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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.