ReviewFrontiers in immunology2019
Development of Unconventional T Cells Controlled by MicroRNA.
Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Interplay between innate-like T-cells and microRNAs in cancer immunity.Discover oncology · 2025Review
- Synergistic potential of bone marrow mesenchymal stem cells and miR181-a combinational therapy against multiple sclerosis.Stem cell research & therapy · 2025Article
- A high-resolution map of functional miR-181 response elements in the thymus reveals the role of coding sequence targeting and an alternative seed match.Nucleic acids research · 2024Article
- MiRNAs in Hematopoiesis and Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2023Review
- MicroRNA-181a restricts human γδ T cell differentiation by targeting Map3k2 and Notch2.EMBO reports · 2022Article
- Modeling the Dynamics of T-Cell Development in the Thymus.Entropy (Basel, Switzerland) · 2021Review
- MicroRNA-155 Regulates MAIT1 and MAIT17 Cell Differentiation.Frontiers in cell and developmental biology · 2021Article
- Thymic iNKT single cell analyses unmask the common developmental program of mouse innate T cells.Nature communications · 2020Article
- MicroRNA miR-181-A Rheostat for TCR Signaling in Thymic Selection and Peripheral T-Cell Function.International journal of molecular sciences · 2020Review
- Expressions of miR-155 and miR-181 and predictions of their structures and targets in pigs (Veterinary world · 2020Article
- miRNAs in NK Cell-Based Immune Responses and Cancer Immunotherapy.Frontiers in cell and developmental biology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Post-transcriptional gene regulation through microRNA (miRNA) has emerged as a major control mechanism of multiple biological processes, including development and function of T cells. T cells are vital components of the immune system, with conventional T cells playing a central role in adaptive immunity and unconventional T cells having additional functions reminiscent of both innate and adaptive immunity, such as involvement in stress responses and tissue homeostasis. Unconventional T cells encompass cells expressing semi-invariant T cell receptors (TCRs), such as invariant Natural Killer T (iNKT) and Mucosal-Associated Invariant T (MAIT) cells. Additionally, some T cells with diverse TCR repertoires, including γδT cells, intraepithelial lymphocytes (IEL) and regulatory T (Treg) cells, share some functional and/or developmental features with their semi-invariant unconventional counterparts. Unconventional T cells are particularly sensitive to disruption of miRNA function, both globally and on the individual miRNA level. Here, we review the role of miRNA in the development and function of unconventional T cells from an iNKT-centric point of view. The function of single miRNAs can provide important insights into shared and individual pathways for the formation of different unconventional T cell subsets.
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Registered trials
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.