ArticleGenomics & informatics2014
Genome-Wide Identification and Classification of MicroRNAs Derived from Repetitive Elements.
Article in Genomics & informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 51 citations in OpenAlex.
- Trans-Kingdom RNA Dialogues: miRNA and milRNA Networks as Biotechnological Tools for Sustainable Crop Defense and Pathogen Control.Plants (Basel, Switzerland) · 2025Review
- Repetitive Sequence Stability in Embryonic Stem Cells.International journal of molecular sciences · 2024Review
- Differences in the intraspecies copy number variation of Arabidopsis thaliana conserved and nonconserved miRNA genes.Functional & integrative genomics · 2023Article
- Perspective for Studying the Relationship of miRNAs with Transposable Elements.Current issues in molecular biology · 2023Article
- Review
- Viruses and Endogenous Retroviruses as Roots for Neuroinflammation and Neurodegenerative Diseases.Frontiers in neuroscience · 2021Review
- Review
- High-throughput sequencing and differential expression analysis of miRNAs in response to Brassinosteroid treatment in Arabidopsis thaliana.Functional & integrative genomics · 2019Article
- Dynamic changes in peripheral blood-targeted miRNA expression profiles in patients with severe traumatic brain injury at high altitude.Military Medical Research · 2019Article
- Review
- Abiotic stress miRNomes in the Triticeae.Functional & integrative genomics · 2017Review
- Identification and Expression of Equine MER-Derived miRNAs.Molecules and cells · 2017Article
- PlanTE-MIR DB: a database for transposable element-related microRNAs in plant genomes.Functional & integrative genomics · 2016Article
- MicroRNAs As Potential Targets for Abiotic Stress Tolerance in Plants.Frontiers in plant science · 2016Review
- A Comprehensive Prescription for Plant miRNA Identification.Frontiers in plant science · 2016Article
- Evolutionary impact of transposable elements on genomic diversity and lineage-specific innovation in vertebrates.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2015Review
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 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are known for their role in mRNA silencing via interference pathways. Repetitive elements (REs) share several characteristics with endogenous precursor miRNAs. In this study, 406 previously identified and 1,494 novel RE-derived miRNAs were sorted from the GENCODE v.19 database using the RepeatMasker program. They were divided into six major types, based on their genomic structure. More novel RE-derived miRNAs were confirmed than identified as RE-derived miRNAs. In conclusion, many miRNAs have not yet been identified, most of which are derived from REs.
Indexed as
Identifiers
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.