Evidence map›Paper›PMID 22884953›Full record

ArticleMethods (San Diego, Calif.)2012

Sensitive PCR-based quantitation of cell-free circulating microRNAs.

Michelle L Hastings, Jaime Palma, Dominik M Duelli

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Article
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  9. Dose-response analysis of epigenetic, metabolic, and apical endpoints after short-term exposure to experimental hepatotoxicants.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017
    Article
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  14. Review
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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

3 authors.

Michelle L HastingsDepartment of Cell Biology and Anatomy, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, USA.
Jaime Palma
Dominik M Duelli

Funding

Targeting SMN2 Alternative Splicing for the Treatment of Spinal Muscular AtrophyR01NS069759 · NINDS · ROSALIND FRANKLIN UNIV OF MEDICINE & SCI · PI HASTINGS, MICHELLE L · 2010 to 2014
$1.6M
NINDS NIH HHS R01 NS069759NINDS NIH HHS R01NS069759
6 · The paper itself

Abstract

Cell-free microRNAs (miRNAs) that circulate in the blood are promising surrogate biomarkers of disease and physiological processes. The ease of quantifying specific miRNA species using made-to-order approaches based on Taq-polymerase has led to numerous studies that have identified changes in the abundance of circulating cell-free miRNA species that correlate with pathology or other events. The growing interest in developing miRNAs as blood biomarkers necessitates the careful consideration of the unique properties of such body fluids that can make the reproducible and quantitative assessment of RNA abundance challenging. For example, enzymes involved in the amplification and analysis of RNA can be affected by blood components that copurify with miRNA. Thus, if miRNAs are to be effectively utilized as biomarkers, it is important to establish standardized protocols for blood collection and miRNA analysis to ensure accurate quantitation. Here we outline several considerations, including the type of collection tube used in sampling, the influence of added anticoagulants and stabilizers, sample processing, enrichment of vesicular and other miRNA species, RNA extraction approaches and enzyme selection, that affect quantitation of miRNA isolated from plasma and should be considered in order to achieve reproducible, sensitive and accurate quantitation.

Indexed as

MicroRNAsRNABiomarkersCell-Free SystemPolymerase Chain ReactionBiomarkersMicroRNAsRNA

Identifiers

PMID22884953
PMCPMC3508311

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Registered trials

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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.