ReviewGenetics, selection, evolution : GSE2016
A tale of two sequences: microRNA-target chimeric reads.
Review in Genetics, selection, evolution : GSE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- KSHV miRNAs target STING to evade innate immunity and facilitate KSHV lytic reactivation from latency.Cell reports · 2025Article
- The potential role of integrin alpha 6 in human mesenchymal stem cells.Frontiers in genetics · 2022Article
- ChiRA: an integrated framework for chimeric read analysis from RNA-RNA interactome and RNA structurome data.GigaScience · 2021Article
- Ligation of 2', 3'-cyclic phosphate RNAs for the identification of microRNA binding sites.FEBS letters · 2021Article
- miRNA-Based Potential Biomarkers and New Molecular Insights in Ulcerative Colitis.Frontiers in pharmacology · 2021Review
- Article
- Recent computational developments on CLIP-seq data analysis and microRNA targeting implications.Briefings in bioinformatics · 2018Review
- MicroRNA-induced silencing in epilepsy: Opportunities and challenges for clinical application.Developmental dynamics : an official publication of the American Association of Anatomists · 2018Review
- MicroRNA-135a regulates NHE9 to inhibit proliferation and migration of glioblastoma cells.Cell communication and signaling : CCS · 2017Article
- Commentary on the 6th International Symposium of Animal Functional Genomics.Genetics, selection, evolution : GSE · 2016Article
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.
Funding
Abstract
In animals, a functional interaction between a microRNA (miRNA) and its target RNA requires only partial base pairing. The limited number of base pair interactions required for miRNA targeting provides miRNAs with broad regulatory potential and also makes target prediction challenging. Computational approaches to target prediction have focused on identifying miRNA target sites based on known sequence features that are important for canonical targeting and may miss non-canonical targets. Current state-of-the-art experimental approaches, such as CLIP-seq (cross-linking immunoprecipitation with sequencing), PAR-CLIP (photoactivatable-ribonucleoside-enhanced CLIP), and iCLIP (individual-nucleotide resolution CLIP), require inference of which miRNA is bound at each site. Recently, the development of methods to ligate miRNAs to their target RNAs during the preparation of sequencing libraries has provided a new tool for the identification of miRNA target sites. The chimeric, or hybrid, miRNA-target reads that are produced by these methods unambiguously identify the miRNA bound at a specific target site. The information provided by these chimeric reads has revealed extensive non-canonical interactions between miRNAs and their target mRNAs, and identified many novel interactions between miRNAs and noncoding RNAs.
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.