Evidence map›Paper›PMID 34171818›Full record

ArticleBiosensors & bioelectronics2021

Rapid kinetic fingerprinting of single nucleic acid molecules by a FRET-based dynamic nanosensor.

Kunal Khanna, Shankar Mandal, Aaron T Blanchard, Muneesh Tewari, Alexander Johnson-Buck, Nils G Walter

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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  12. Review of FRET biosensing and its application in biomolecular detection.American journal of translational research · 2023
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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

6 authors at 2 institutions in 1 country.

Kunal KhannaSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States.
Shankar MandalSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States.
Aaron T BlanchardSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, United States; Michigan Society of Fellows, University of Michigan, Ann Arbor, MI 48109, United States.
Muneesh TewariDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, United States; Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, United States; Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI, 48109, United States; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, United States.
Alexander Johnson-BuckSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States; Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, United States; Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI, 48109, United States. Electronic address: alebuck@umich.edu.
Nils G WalterSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, United States; Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI, 48109, United States; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, United States. Electronic address: nwalter@umich.edu.
University of Michigan · USSociety of Actuaries · US

Funding

Optimization and Validation of Single-Molecule Kinetic Fingerprinting Technology for Rapid, Ultra-Specific Detection of Cancer MutationsR33CA229023 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TEWARI, MUNEESH, WALTER, NILS G · 2018 to 2020
$1.2M
Single-molecule counting of cancer biomarker miRNAs in human biofluidsR21CA204560 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WALTER, NILS G · 2017 to 2019
$614k
Highly specific, amplification-free, single-molecule counting of rare methylated DNA cancer biomarkersR21CA225493 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TEWARI, MUNEESH, WALTER, NILS G · 2020 to 2020
$609k
The mechanical role of the glycocalyx in cancer cell adhesionK00CA245789 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BLANCHARD, AARON · 2020 to 2024
$369k
NCI NIH HHS K00 CA245789NCI NIH HHS R21 CA204560NCI NIH HHS R21 CA225493NCI NIH HHS R33 CA229023
6 · The paper itself

Abstract

Biofluid-derived cell-free nucleic acids such as microRNAs (miRNAs) and circulating tumor-derived DNAs (ctDNAs) have emerged as promising disease biomarkers. Conventional detection of these biomarkers by digital PCR and next generation sequencing, although highly sensitive, requires time-consuming extraction and amplification steps that also increase the risk of sample loss and cross-contamination. To achieve the direct, rapid, and amplification-free detection of miRNAs and ctDNAs with near-perfect specificity and single-molecule level sensitivity, we herein designed a single-molecule kinetic fingerprinting assay, termed intramolecular single-molecule recognition through equilibrium Poisson sampling (iSiMREPS). iSiMREPS exploits a dynamic DNA nanosensor comprising a surface anchor and a pair of fluorescent detection probes: one probe captures a target molecule onto the surface, while the other transiently interrogates the target to generate kinetic fingerprints by intramolecular single-molecule Förster resonance energy transfer (smFRET) that are recorded by single-molecule fluorescence microscopy and identify the target after kinetic filtering and data analysis. We optimize the sensor design, use formamide to further accelerate the fingerprinting kinetics, and maximize sensitivity by removing non-target-bound probes using toehold-mediated strand displacement to reduce background. We show that iSiMREPS can detect, in as little as 10 s, two distinct, promising cancer biomarkers-miR-141 and a common EGFR exon 19 deletion-reaching a limit of detection (LOD) of ~3 fM and a mutant allele fraction among excess wild-type as low as 1 in 1 million, or 0.0001%. We anticipate that iSiMREPS will find utility in research and clinical diagnostics based on its features of rapid detection, high specificity, sensitivity, and generalizability.

Indexed as

Biosensing TechniquesMicroRNAsNucleic AcidsFluorescence Resonance Energy TransferKineticsSingle Molecule ImagingMicroRNAsNucleic AcidsKinetic fingerprintingNanosensorNucleic acidsRapid biomarker detectionSingle molecule fluorescence microscopysmFRET

Identifiers

PMID34171818
PMCPMC8295208
OpenAlexW3171864111

What OpenQuestion holds

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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.