Evidence map›Paper›PMID 38391998›Full record

ArticleBiosensors2024

Detection of miR-155 Using Peptide Nucleic Acid at Physiological-like Conditions by Surface Plasmon Resonance and Bio-Field Effect Transistor.

Francesco Lavecchia di Tocco, Valentina Botti, Salvatore Cannistraro, Anna Rita Bizzarri

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Francesco Lavecchia di ToccoBiophysics and Nanoscience Centre, DEB, Università della Tuscia, Largo dell'Università, 01100 Viterbo, Italy.
Valentina BottiBiophysics and Nanoscience Centre, DEB, Università della Tuscia, Largo dell'Università, 01100 Viterbo, Italy.ORCID 0000-0002-3429-8891
Salvatore CannistraroBiophysics and Nanoscience Centre, DEB, Università della Tuscia, Largo dell'Università, 01100 Viterbo, Italy.ORCID 0000-0002-0228-7311
Anna Rita BizzarriBiophysics and Nanoscience Centre, DEB, Università della Tuscia, Largo dell'Università, 01100 Viterbo, Italy.ORCID 0000-0003-3298-6639
Università degli Studi della Tuscia · IT

Funding

Italian Association for Cancer Research IG24450
6 · The paper itself

Abstract

MicroRNAs are small ribonucleotides that act as key gene regulators. Their altered expression is often associated with the onset and progression of several human diseases, including cancer. Given their potential use as biomarkers, there is a need to find detection methods for microRNAs suitable for use in clinical setting. Field-effect-transistor-based biosensors (bioFETs) appear to be valid tools to detect microRNAs, since they may reliably quantitate the specific binding between the immobilized probe and free target in solution through an easily detectable electrical signal. We have investigated the detection of human microRNA 155 (miR-155) using an innovative capturing probe constituted by a synthetic peptide nucleic acid (PNA), which has the advantage to form a duplex even at ionic strengths approaching the physiological conditions. With the aim to develop an optimized BioFET setup, the interaction kinetics between miR-155 and the chosen PNA was preliminarily investigated by using surface plasmon resonance (SPR). By exploiting both these results and our custom-made bioFET system, we were able to attain a low-cost, real-time, label-free and highly specific detection of miR-155 in the nano-molar range.

Indexed as

Biosensing TechniquesMicroRNAsNucleic AcidsPeptide Nucleic AcidsHumansPeptidesSurface Plasmon ResonanceMicroRNAsMIRN155 microRNA, humanNucleic AcidsPeptide Nucleic AcidsPeptidesbiosensorsfield effect transistorsmicroRNAsurface plasmon resonance

Identifiers

PMID38391998
PMCPMC10887097
OpenAlexW4391431900

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.