ArticleRNA biology2015
Mutual interaction between BCL6 and microRNAs in T cell differentiation.
Article in RNA biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 9 citations in OpenAlex.
- Review
- Contribution of hepatitis B virus X protein-induced aberrant microRNA expression to hepatocellular carcinoma pathogenesis.Turkish journal of biology = Turk biyoloji dergisi · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The transcription factor B-cell CLL/lymphoma 6 (BCL6) and the regulatory factor microRNAs (miRNAs) are of great importance in the differentiation of T cell subsets. An increasing body of evidence has demonstrated that BCL6 and miRNAs can target one another and mutually adjust their expression in T cell subsets, such as T helper (Th)-2, Th17, CD8+ regulatory T (CD8+Treg) and T follicular helper (Tfh) cells. Here, we discuss the most recent advances and emerging concepts in how BCL6 and miRNAs regulate one another, and the effects of such mutual regulations on T cell subset differentiation.
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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.