ArticleJournal of integrative bioinformatics2017
Systematic Prediction of the Impacts of Mutations in MicroRNA Seed Sequences.
Article in Journal of integrative bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Combination of Cas9 and adeno-associated vectors enables efficient in vivo knockdown of precise miRNAs in the rodent and primate brain.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The miRNA-target interactions: An underestimated intricacy.Nucleic acids research · 2024Review
- MicroRNA Targets PAP1 to Mediate Melanization inInternational journal of molecular sciences · 2024Article
- Phenome-wide association study on miRNA-related sequence variants: the UK Biobank.Human genomics · 2023Article
- An efficient miRNA knockout approach using CRISPR-Cas9 in Xenopus.Developmental biology · 2022Article
- Systematics for types and effects of RNA variations.RNA biology · 2021Article
- SNPs in miRNAs and Target Sequences: Role in Cancer and Diabetes.Frontiers in genetics · 2021Review
- Long non-coding RNA F11-AS1 inhibits HBV-related hepatocellular carcinoma progression by regulating NR1I3 via binding to microRNA-211-5p.Journal of cellular and molecular medicine · 2020Article
- Computational miRNomics - Integrative Approaches.Journal of integrative bioinformatics · 2017Article
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
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs are a class of small non-coding RNAs that are involved in many important biological processes and the dysfunction of microRNA has been associated with many diseases. The seed region of a microRNA is of crucial importance to its target recognition. Mutations in microRNA seed regions may disrupt the binding of microRNAs to their original target genes and make them bind to new target genes. Here we use a knowledge-based computational method to systematically predict the functional effects of all the possible single nucleotide mutations in human microRNA seed regions. The result provides a comprehensive reference for the functional assessment of the impacts of possible natural and artificial single nucleotide mutations in microRNA seed regions.
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.