Evidence map›Paper›PMID 36171215›Full record

ArticleScientific reports2022

Attomolar sensitivity microRNA detection using real-time digital microarrays.

Fulya Ekiz Kanik, Iris Celebi, Derin Sevenler, Kahraman Tanriverdi, Nese Lortlar Ünlü, Jane E Freedman, M Selim Ünlü

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  7. Article
  8. MicroRNAs as Endocrine Modulators of Breast Cancer.International journal of molecular sciences · 2025
    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

7 authors.

Fulya Ekiz Kanik *Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
Iris Celebi *Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
Derin SevenlerDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
Kahraman TanriverdiDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Nese Lortlar ÜnlüDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Jane E FreedmanDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
M Selim ÜnlüDepartment of Electrical and Computer Engineering, Boston University, Boston, MA, USA. selim@bu.edu.

Funding

Intracellular delivery of DNA-editing proteins by viscoelastic cell stretchingK99AI167063 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI SEVENLER, DERIN · 2022 to 2023
$273k
NIAID NIH HHS K99 AI167063
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a family of noncoding, functional RNAs. With recent developments in molecular biology, miRNA detection has attracted significant interest, as hundreds of miRNAs and their expression levels have shown to be linked to various diseases such as infections, cardiovascular disorders and cancers. A powerful and high throughput tool for nucleic acid detection is the DNA microarray technology. However, conventional methods do not meet the demands in sensitivity and specificity, presenting significant challenges for the adaptation of miRNA detection for diagnostic applications. In this study, we developed a highly sensitive and multiplexed digital microarray using plasmonic gold nanorods as labels. For proof of concept studies, we conducted experiments with two miRNAs, miRNA-451a (miR-451) and miRNA-223-3p (miR-223). We demonstrated improvements in sensitivity in comparison to traditional end-point assays that employ capture on solid phase support, by implementing real-time tracking of the target molecules on the sensor surface. Particle tracking overcomes the sensitivity limitations for detection of low-abundance biomarkers in the presence of low-affinity but high-abundance background molecules, where endpoint assays fall short. The absolute lowest measured concentration was 100 aM. The measured detection limit being well above the blank samples, we performed theoretical calculations for an extrapolated limit of detection (LOD). The dynamic tracking improved the extrapolated LODs from femtomolar range to [Formula: see text] 10 attomolar (less than 1300 copies in 0.2 ml of sample) for both miRNAs and the total incubation time was decreased from 5 h to 35 min.

Indexed as

MicroRNAsNeoplasmsGoldHumansGoldMicroRNAs

Identifiers

PMID36171215
PMCPMC9519543

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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.