ArticleRNA (New York, N.Y.)2014
A convenient system for highly specific and sensitive detection of miRNA expression.
Article in RNA (New York, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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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.
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Who cites it
3 citing papers in PubMed, 14 citations in OpenAlex.
- A Comprehensive Analysis of Northern versus Liquid Hybridization Assays for mRNAs, Small RNAs, and miRNAs Using a Non-Radiolabeled Approach.Current issues in molecular biology · 2021Article
- Article
- Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.BMC bioinformatics · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the first miRNA was discovered in 1993, miRNAs have become a hotspot for biological research. In order to feed this demand, a robust method is required to detect miRNA gene expression. Development of a detection method is more difficult for miRNAs than for long RNAs, such as mRNA, owing to their small size. Existing methods have limitations; thus, new methods are required. We describe a new system for detecting miRNA expression, which can distinguish miRNA from its precursor and has single-nucleotide resolution. It has single molecule and multiplex detection potential. It may be performed as a polymerase chain reaction (PCR) method, a blotting method, or a macroarray method according to the analyst's preference. This personalized system provides a convenient tool for the detection of miRNA gene expression.
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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.