Evidence map›Paper›PMID 37264955›Full record

ArticleThe Analyst2023

Reverse transcription-free digital-quantitative-PCR for microRNA analysis.

Hao T Mai, Brice C Vanness, Thomas H Linz

Open access · bronzeAbstract read
In one paragraph

Article in The Analyst, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Hao T MaiDepartment of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI 48202, USA. tlinz@wayne.edu.
Brice C VannessDepartment of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI 48202, USA. tlinz@wayne.edu.
Thomas H LinzDepartment of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI 48202, USA. tlinz@wayne.edu.ORCID http://orcid.org/0000-0002-9517-901X
Wayne State University · US

Funding

Training Modules at Wayne State University to Promote Safe and Inclusive EnvironmentsT32GM139807 · NIGMS · WAYNE STATE UNIVERSITY · PI BRYANT-FRIEDRICH, AMANDA C, CHOW, CHRISTINE S · 2021 to 2025
$2.6M
NIGMS NIH HHS T32 GM139807
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are non-coding RNA sequences that regulate many biological processes and have become central targets of biomedical research. However, their naturally low abundances in biological samples necessitates the development of sensitive analytical techniques to conduct routine miRNA measurements in research laboratories. Digital PCR has the potential to meet this need because of its single-molecule detection capabilities, but PCR analyses of miRNAs are slowed by the ligation and reverse transcription steps first required to prepare samples. This report describes the development of a method to rapidly quantify miRNA in digital microwell arrays using base-stacking digital-quantitative-PCR (BS-dqPCR). BS-dqPCR expedites miRNA measurements by eliminating the need for ligation and reverse transcription steps, which reduces the time and cost compared to conventional miRNA PCR analyses. Under standard PCR thermocycling conditions, digital signals from miRNA samples were lower than expected, while signals from blanks were high. Therefore, a novel asymmetric thermocycling program was developed that maximized on-target signal from miRNA while minimizing non-specific amplification. The analytical response of BS-dqPCR was then evaluated over a range of miRNA concentrations. The digital PCR dimension increased in signal with increasing miRNA copy numbers. When the digital signal saturated, the quantitative PCR dimension readily discerned miRNA copy number differences. Overall, BS-dqPCR provides rapid, high-sensitivity measurements of miRNA over a wide dynamic range, which demonstrates its utility for routine miRNA analyses.

Indexed as

MicroRNAsNucleic Acid Amplification TechniquesPolymerase Chain ReactionMicroRNAs

Identifiers

PMID37264955
PMCPMC10318481
OpenAlexW4378876571

What OpenQuestion holds

Textmetadata
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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.