ArticleCells2018
Predicting MicroRNA Mediated Gene Regulation between Human and Viruses.
Article in Cells, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- microT-CNN: an avant-garde deep convolutional neural network unravels functional miRNA targets beyond canonical sites.Briefings in bioinformatics · 2024Article
- Article
- Hepatitis B Virus and microRNAs: A Bioinformatics Approach.International journal of molecular sciences · 2023Review
- Interactions of host miRNAs in the flavivirus 3´UTR genome: From bioinformatics predictions to practical approaches.Frontiers in cellular and infection microbiology · 2022Review
- miRCOVID-19: Potential Targets of Human miRNAs in SARS-CoV-2 for RNA-Based Drug Discovery.Non-coding RNA · 2021Article
- Global discovery of human-infective RNA viruses: A modelling analysis.PLoS pathogens · 2020Article
- Identification of Novel SARS-CoV-2 Drug Targets by Host MicroRNAs and Transcription Factors Co-regulatory Interaction Network Analysis.Frontiers in genetics · 2020Article
- The miRNA neuroinflammatory biomarkers in COVID-19 patients with different severity of illness.NeurologiaArticle
- The miRNA neuroinflammatory biomarkers in COVID-19 patients with different severity of illness.Neurologia (Barcelona, Spain)Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) mediate various biological processes by actively fine-tuning gene expression at the post-transcriptional level. With the identification of numerous human and viral miRNAs, growing evidence has indicated a common role of miRNAs in mediating the interactions between humans and viruses. However, there is only limited information about Cross-Kingdom miRNA target sites from studies. To facilitate an extensive investigation on the interplay among the gene regulatory networks of humans and viruses, we designed a prediction pipeline, mirTarP, that is suitable for miRNA target screening on the genome scale. By applying mirTarP, we constructed the database mirTar, which is a comprehensive miRNA target repository of bidirectional interspecies regulation between viruses and humans. To provide convenient downloading for users from both the molecular biology field and medical field, mirTar classifies viruses according to "ICTV viral category" and the "medical microbiology classification" on the web page. The mirTar database and mirTarP tool are freely available online.
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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.