Evidence map›Paper›PMID 32313101›Full record

ArticleNature biomedical engineering2020

Ultrabright fluorescent nanoscale labels for the femtomolar detection of analytes with standard bioassays.

Jingyi Luan, Anushree Seth, Rohit Gupta, Zheyu Wang, Priya Rathi, Sisi Cao, Hamed Gholami Derami, Rui Tang, Baogang Xu, Samuel Achilefu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Nature biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
9.0field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 195 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

12 authors at 1 institution in 1 country.

Jingyi LuanDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA.
Anushree SethDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA.
Rohit GuptaDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA.ORCID http://orcid.org/0000-0001-7570-7527
Zheyu WangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA.
Priya RathiDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA.
Sisi CaoDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA.
Hamed Gholami DeramiDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA.
Rui TangDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-2734-1003
Baogang XuDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Samuel AchilefuDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-3133-6717
Jeremiah J MorrisseyDepartment of Anesthesiology, Division of Clinical and Translational Research, Washington University in St. Louis, St. Louis, MO, USA.
Srikanth SingamaneniDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St Louis, MO, USA. singamaneni@wustl.edu.ORCID http://orcid.org/0000-0002-7203-2613
Washington University in St. Louis · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Project 2 - Radiation-Induced Treatment of Multiple Myeloma using NanoparticlesU54CA199092 · NCI · WASHINGTON UNIVERSITY · PI ACHILEFU, SAMUEL · 2015 to 2019
$11.5M
URINARY BIOMARKERS OF RENAL CELL CARCINOMASR01CA141521 · NCI · WASHINGTON UNIVERSITY · PI MORRISSEY, JEREMIAH J · 2011 to 2019
$2.6M
DEVELOPMENT OF A WIRELESS BIOSENSOR TO TRACK BONE RESORPTION IN PERIODONTITISR01DE027098 · NIDCR · WASHINGTON UNIVERSITY · PI CHAKRABARTTY, SHANTANU, SCHELLER, ERICA LYNN · 2017 to 2020
$1.4M
NCATS NIH HHS UL1 TR002345NCI NIH HHS R01 CA141521NCI NIH HHS U54 CA199092NIDCR NIH HHS R01 DE027098
6 · The paper itself

Abstract

The detection and quantification of low-abundance molecular biomarkers in biological samples is challenging. Here, we show that a plasmonic nanoscale construct serving as an 'add-on' label for a broad range of bioassays improves their signal-to-noise ratio and dynamic range without altering their workflow and readout devices. The plasmonic construct consists of a bovine serum albumin scaffold with approximately 210 IRDye 800CW fluorophores (with a fluorescence intensity approximately 6,700-fold that of a single 800CW fluorophore), a polymer-coated gold nanorod acting as a plasmonic antenna and biotin as a high-affinity biorecognition element. Its emission wavelength can be tuned over the visible and near-infrared spectral regions by modifying its size, shape and composition. It improves the limit of detection in fluorescence-linked immunosorbent assays by up to 4,750-fold and is compatible with multiplexed bead-based immunoassays, immunomicroarrays, flow cytometry and immunocytochemistry methods, and it shortens overall assay times (to 20 min) and lowers sample volumes, as shown for the detection of a pro-inflammatory cytokine in mouse interstitial fluid and of urinary biomarkers in patient samples.

Indexed as

AnimalsBiological AssayBone Marrow CellsCell Line, TumorColloidsDendritic CellsFemaleFlow CytometryFluorescenceFluorescent DyesHumansImmunoassayLipopolysaccharidesMice, Inbred C57BLMicrospheresNanoparticlesColloidsFluorescent DyesLipopolysaccharides

Identifiers

PMID32313101
PMCPMC7231648
OpenAlexW3016940372

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.