ReviewLife (Basel, Switzerland)2020
Bioinformatics Analysis of Evolution and Human Disease Related Transposable Element-Derived microRNAs.
Review in Life (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Prospects for breast cancer immunotherapy using microRNAs and transposable elements as objects.Exploration of targeted anti-tumor therapy · 2024Review
- Article
- Perspective for Studying the Relationship of miRNAs with Transposable Elements.Current issues in molecular biology · 2023Article
- The Tumorigenic Role of Circular RNA-MicroRNA Axis in Cancer.International journal of molecular sciences · 2023Review
- New oncogenic functions of LINE1 retroelement as a ceRNA for tumor suppressive microRNA miR-126 on ENPP5.PloS one · 2023Article
- An EpigeneticInternational journal of molecular sciences · 2022Review
- Integration of TE Induces Cancer Specific Alternative Splicing Events.International journal of molecular sciences · 2022Review
- Genomic Analyses of Non-Coding RNAs Overlapping Transposable Elements and Its Implication to Human Diseases.International journal of molecular sciences · 2022Review
- Hsa-miR-422a Originated from Short Interspersed Nuclear Element IncreasesMolecules and cells · 2022Article
- Retrotransposons as Drivers of Mammalian Brain Evolution.Life (Basel, Switzerland) · 2021Review
- MicroRNA-182 promotes epithelial-mesenchymal transition by targeting FOXN3 in gallbladder cancer.Oncology letters · 2021Article
- Expression Analyses of MicroRNAs in Hamster Lung Tissues Infected by SARS-CoV-2.Molecules and cells · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Transposable element (TE) has the ability to insert into certain parts of the genome, and due to this event, it is possible for TEs to generate new factors and one of these factors are microRNAs (miRNA). miRNAs are non-coding RNAs made up of 19 to 24 nucleotides and numerous miRNAs are derived from TE. In this study, to support general knowledge on TE and miRNAs derived from TE, several bioinformatics tools and databases were used to analyze miRNAs derived from TE in two aspects: evolution and human disease. The distribution of TEs in diverse species presents that almost half of the genome is covered with TE in mammalians and less than a half in other vertebrates and invertebrates. Based on selected evolution-related miRNAs studies, a total of 51 miRNAs derived from TE were found and analyzed. For the human disease-related miRNAs, total of 34 miRNAs derived from TE were organized from the previous studies. In summary, abundant miRNAs derived from TE are found, however, the function of miRNAs derived from TE is not informed either. Therefore, this study provides theoretical understanding of miRNAs derived from TE by using various bioinformatics tools.
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What OpenQuestion holds
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.