ReviewJournal of applied genetics2012
Current approaches to micro-RNA analysis and target gene prediction.
Review in Journal of applied genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Systems analysis reveals down-regulation of a network of pro-survival miRNAs drives the apoptotic response in dilated cardiomyopathy.Molecular bioSystems · 2015Article
- MicroRNA-207 enhances radiation-induced apoptosis by directly targeting Akt3 in cochlea hair cells.Cell death & disease · 2014Article
- Castration-induced changes in microRNA expression profiles in subcutaneous adipose tissue of male pigs.Journal of applied genetics · 2014Article
- High-throughput sequencing identification of novel and conserved miRNAs in the Brassica oleracea leaves.BMC genomics · 2013Article
- Identification of radiation-induced microRNA transcriptome by next-generation massively parallel sequencing.Journal of radiation research · 2013Article
- 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is becoming increasingly evident that micro-RNAs (miRNA) play a significant role in regulating the cellular machinery. These ∼22-nt non-coding RNAs function as negative regulators of gene expression. Since their discovery, considerable information has been obtained on miRNA biology and the mechanism of their action. Guidelines have been established for miRNA nomenclature and databases have been built to house all miRNA from many species. A number of methodologies are available for miRNA analysis. There is a lot of interest in developing bioinformatics approaches to predict miRNA target genes. This article will bring together the information on our current knowledge of miRNA biology, the approaches for miRNA analysis, and computational strategies to gain insight in miRNA functional roles.
Indexed as
Identifiers
21892624What 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.