Evidence map›Paper›PMID 34182140›Full record

ReviewMethods (San Diego, Calif.)2022

A guide to accelerated direct digital counting of single nucleic acid molecules by FRET-based intramolecular kinetic fingerprinting.

Shankar Mandal, Kunal Khanna, Alexander Johnson-Buck, Nils G Walter

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Mushrooms as future generation healthy foods.Frontiers in nutrition · 2022
    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

4 authors.

Shankar MandalSingle Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, United States.
Kunal KhannaSingle Molecule Analysis Group, Department of Chemistry, 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; aLight Sciences, Inc., 333 Jackson Plz Suite 460, Ann Arbor, MI 48103, United States.
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. Electronic address: nwalter@umich.edu.

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
NCI NIH HHS R21 CA204560NCI NIH HHS R21 CA225493NCI NIH HHS R33 CA229023
6 · The paper itself

Abstract

Cell-free nucleic acids (cfNAs) such as short non-coding microRNA (miRNA) and circulating tumor DNA (ctDNA) that reside in bodily fluids have emerged as potential cancer biomarkers. Methods for the rapid, highly specific, and sensitive monitoring of cfNAs in biofluids have, therefore, become increasingly attractive as clinical diagnosis tools. As a next generation technology, we provide a practical guide for an amplification-free, single molecule Förster resonance energy transfer (smFRET)-based kinetic fingerprinting approach termed intramolecular single molecule recognition through equilibrium Poisson sampling, or iSiMREPS, for the rapid detection and counting of miRNA and mutant ctDNA with virtually unlimited specificity and single molecule sensitivity. iSiMREPS utilizes a pair of fluorescent detection probes, wherein one probe immobilizes the target molecules on the surface, and the other probe transiently and reversibly binds to the target to generate characteristic time-resolved fingerprints as smFRET signal that are detected in a total internal reflection fluorescence microscope. Analysis of these kinetic fingerprints enables near-perfect discrimination between specific binding to target molecules and nonspecific background binding. By accelerating kinetic fingerprinting using the denaturant formamide and reducing background signals by removing target-less probes from the surface via toehold-mediated strand displacement, iSiMREPS has been demonstrated to count miR-141 and EGFR exon 19 deletion ctDNA molecules with a limit of detection (LOD) of ~1 and 3 fM, respectively, as well as mutant allele fractions as low as 0.0001%, during a standard acquisition time of only ~10 s per field of view. In this review, we provide a detailed roadmap for implementing iSiMREPS more broadly in research and clinical diagnostics, combining rapid analysis, high specificity, and high sensitivity.

Indexed as

MicroRNAsNucleic AcidsFluorescence Resonance Energy TransferKineticsLimit of DetectionNanotechnologyMicroRNAsNucleic AcidsAmplification-free detectionIntramolecular kinetic fingerprintingNucleic acid biomarkersRapid diagnosticssmFRETTIRF microscopy

Identifiers

PMID34182140
PMCPMC8709879

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.