Evidence map›Paper›PMID 35349277›Full record

ArticleAnalytical chemistry2022

Multiplexed miRNA Quantitation Using Injectionless Microfluidic Thermal Gel Electrophoresis.

Mario A Cornejo, Thomas H Linz

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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

2 authors at 1 institution in 1 country.

Mario A CornejoDepartment of Chemistry, Wayne State University, 5101 Cass Avenue, Detroit, Michigan 48202, United States.
Thomas H LinzDepartment of Chemistry, Wayne State University, 5101 Cass Avenue, Detroit, Michigan 48202, United States.ORCID 0000-0002-9517-901X
Wayne State University · US

Funding

THE ROLE OF CNS INSULIN AS A MODULATOR OF DIABETIC COMPLICATIONSR25GM058905 · NIGMS · WAYNE STATE UNIVERSITY · PI CHOW, CHRISTINE S, DUNBAR, JOSEPH C · 1999 to 2020
$14.4M
Versatile Microfluidic Gel Electrophoresis Platform for Native Protein AnalysesR21GM137278 · NIGMS · WAYNE STATE UNIVERSITY · PI LINZ, THOMAS · 2020 to 2021
$349k
NIGMS NIH HHS R21 GM137278NIGMS NIH HHS R25 GM058905
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a class of biomolecules that have high clinical and pharmaceutical significance because of their ability to regulate protein expression. Better methods are needed to quantify target miRNAs, but their similar sequence lengths and low concentrations in biomedical samples impede analysis. This report aimed to develop a simple, rapid method to directly quantify multiple miRNAs using microfluidic thermal gel electrophoresis (TGE). Fluorescent probes were designed complementarily in sequence to four target miRNAs that also contained variable DNA overhangs to alter their electrophoretic mobilities. Samples and probes were directly added into thermal gel and loaded throughout a microchannel. Applying voltage resulted in an inline preconcentration and separation of the miRNAs that did not require a sample injection nor user intervention to switch between modes. Baseline resolution was achieved between four double-stranded miRNA-probe hybrids and four excess single-stranded probes. Analytical performance was then improved by designing an innovative microfluidic device with a tapered channel geometry. This device exhibited superior detection limits and separation resolution compared to standard channel devices without increasing the complexity of microfabrication or device operation. A proof-of-concept demonstration was then performed, showing that target miRNAs could be detected from cell extracts. These results demonstrate that TGE provides a simple, inexpensive means of conducting multiplexed miRNA measurements, with the potential for automation to facilitate future clinical and pharmaceutical analyses.

Indexed as

MicrofluidicsMicroRNAsDNAElectrophoresisDNAMicroRNAs

Identifiers

PMID35349277
PMCPMC10352957
OpenAlexW4220772143

What OpenQuestion holds

Textmetadata
LicenceTDM
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.