Evidence map›Paper›PMID 28255356›Full record

ArticleTheranostics2017

MicroRNA Detection Using a Double Molecular Beacon Approach: Distinguishing Between miRNA and Pre-miRNA.

Amanda Marie James, Meredith B Baker, Gang Bao, Charles D Searles

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Theranostics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Amanda Marie JamesDivision of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Meredith B BakerDivision of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Gang BaoDepartment of Biomedical Engineering, Rice University, Houston, TX, USA.
Charles D SearlesDivision of Cardiology, Emory University School of Medicine, Atlanta, GA, USA;; Atlanta Veterans Administration Medical Center, Decatur, GA, USA.
Emory University · USRice University · US

Funding

The Impact of miR-21 Expression on Endothelial Cell Apoptosis and InflammationI01BX000704 · VA · VETERANS HEALTH ADMINISTRATION · PI SEARLES, CHARLES D · 2011 to 2014
–
BLRD VA I01 BX000704
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small, noncoding RNAs that post-transcriptionally regulate gene expression and are recognized for their roles both as modulators of disease progression and as biomarkers of disease activity, including neurological diseases, cancer, and cardiovascular disease (CVD). Commonly, miRNA abundance is assessed using quantitative real-time PCR (qRT-PCR), however, qRT-PCR for miRNA can be labor intensive, time consuming, and may lack specificity for detection of mature versus precursor forms of miRNA. Here, we describe a novel double molecular beacon approach to miRNA assessment that can distinguish and quantify mature versus precursor forms of miRNA in a single assay, an essential feature for use of miRNAs as biomarkers for disease. Using this approach, we found that molecular beacons with DNA or combined locked nucleic acid (LNA)-DNA backbones can detect mature and precursor miRNAs (pre-miRNAs) of low (< 1 nM) abundance

Indexed as

MicroRNAsMolecular Diagnostic TechniquesSensitivity and SpecificityMicroRNAscardiovascular diseasemolecular beacon, microRNA, microRNA detectionPCR.

Identifiers

PMID28255356
PMCPMC5327639
OpenAlexW2572954321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.