Evidence map›Paper›PMID 31971776›Full record

ArticleACS nano2020

High-Fidelity Single Molecule Quantification in a Flow Cytometer Using Multiparametric Optical Analysis.

Lucas D Smith, Yang Liu, Mohammad U Zahid, Taylor D Canady, Liang Wang, Manish Kohli, Brian T Cunningham, Andrew M Smith

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-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

13 citing papers in PubMed, 38 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Lucas D SmithDepartment of Bioengineering , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.ORCID 0000-0002-7675-2765
Yang LiuDepartment of Bioengineering , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.ORCID 0000-0001-9759-2417
Mohammad U ZahidDepartment of Bioengineering , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.
Taylor D CanadyHolonyak Micro and Nanotechnology Laboratory , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.
Liang WangDepartment of Tumor Biology , H. Lee Moffitt Cancer Center , Tampa , Florida 33612 , United States.
Manish KohliDepartment of Genitourinary Oncology , H. Lee Moffitt Cancer Center , Tampa , Florida 33612 United States.
Brian T CunninghamHolonyak Micro and Nanotechnology Laboratory , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.
Andrew M SmithDepartment of Bioengineering , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.ORCID 0000-0002-0238-4816
University of Illinois Urbana-Champaign · USMoffitt Cancer Center · US

Funding

Super-Resolution Microscopy of Neuronal Synapses with Small Quantum Dots and Advanced Imaging ToolsR01NS100019 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CHUNG, HEE JUNG, SELVIN, PAUL R · 2017 to 2025
$3.2M
Cell free nucleic acid-based biomarkers in advanced prostate cancerR01CA212097 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI KOHLI, MANISH, WANG, LIANG · 2017 to 2022
$3.1M
Daily Quantification of Cancer-Associated Exosomal miRNA in Patient Blood by Photonic Crystal-Enhanced Quantum Dot EmissionR01CA227699 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI KOHLI, MANISH, SMITH, ANDREW MICHAEL · 2018 to 2022
$1.8M
Next-Generation Quantum Dots for Molecular and Cellular Imaging of CancerR00CA153914 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SMITH, ANDREW MICHAEL · 2012 to 2014
$709k
NCI NIH HHS R00 CA153914NCI NIH HHS R01 CA212097NCI NIH HHS R01 CA227699NINDS NIH HHS R01 NS100019
6 · The paper itself

Abstract

Microfluidic techniques are widely used for high-throughput quantification and discrete analysis of micron-scale objects but are difficult to apply to molecular-scale targets. Instead, single-molecule methods primarily rely on low-throughput microscopic imaging of immobilized molecules. Here we report that commercial-grade flow cytometers can detect single nucleic acid targets following enzymatic extension and dense labeling with multiple distinct fluorophores. We focus on microRNAs, short nucleic acids that can be extended by rolling circle amplification (RCA). We labeled RCA-extended microRNAs with multicolor fluorophores to generate repetitive nucleic acid products with submicron sizes and tunable multispectral profiles. By cross-correlating the multiparametric optical features, signal-to-background ratios were amplified 1600-fold to allow single-molecule detection across 4 orders of magnitude of concentration. The limit of detection was measured to be 47 fM, which is 100-fold better than gold-standard methods based on polymerase chain reaction. Furthermore, multiparametric analysis allowed discrimination of different microRNA sequences in the same solution using distinguishable optical barcodes. Barcodes can apply both ratiometric and colorimetric signatures, which could facilitate high-dimensional multiplexing. Because of the wide availability of flow cytometers, we anticipate that this technology can provide immediate access to high-throughput multiparametric single-molecule measurements and can further be adapted to the diverse range of molecular amplification methods that are continually emerging.

Indexed as

Flow CytometryOptical ImagingHumansMicroRNAsNucleic AcidsParticle SizePolymerase Chain ReactionSurface PropertiesMicroRNAsNucleic AcidsamplificationbiomarkerdiagnosticsmicroRNAmiRNAmultiplexingRCA

Identifiers

PMID31971776
PMCPMC7295608
OpenAlexW3002121433

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.