Evidence map›Paper›PMID 24840765›Full record

ArticleACS nano2014

Digital sensing and sizing of vesicular stomatitis virus pseudotypes in complex media: a model for Ebola and Marburg detection.

George G Daaboul, Carlos A Lopez, Jyothsna Chinnala, Bennett B Goldberg, John H Connor, M Selim Ünlü

Abstract read
In one paragraph

Article in ACS nano, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

George G Daaboul *Electrical & Computer Engineering Dept., Boston University, Boston, MA 02215.
Carlos A Lopez *Electrical & Computer Engineering Dept., Boston University, Boston, MA 02215.
Jyothsna ChinnalaElectrical & Computer Engineering Dept., Boston University, Boston, MA 02215.
Bennett B GoldbergElectrical & Computer Engineering Dept., Boston University, Boston, MA 02215.
John H ConnorDepartment of Microbiology and National Emerging and Infectious Diseases Laboratories, Boston University School of Medicine, Boston, MA 02118.
M Selim ÜnlüElectrical & Computer Engineering Dept., Boston University, Boston, MA 02215.

Funding

Development of Near Real-Time, Multiplexed Diagnostics for Viral Hemorrhagic FeveR01AI096159 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CONNOR, JOHN H · 2011 to 2015
$4.8M
NIAID NIH HHS R01 AI096159NIAID NIH HHS R01AI1096159
6 · The paper itself

Abstract

Rapid, sensitive, and direct label-free capture and characterization of nanoparticles from complex media such as blood or serum will broadly impact medicine and the life sciences. We demonstrate identification of virus particles in complex samples for replication-competent wild-type vesicular stomatitis virus (VSV), defective VSV, and Ebola- and Marburg-pseudotyped VSV with high sensitivity and specificity. Size discrimination of the imaged nanoparticles (virions) allows differentiation between modified viruses having different genome lengths and facilitates a reduction in the counting of nonspecifically bound particles to achieve a limit-of-detection (LOD) of 5 × 10(3) pfu/mL for the Ebola and Marburg VSV pseudotypes. We demonstrate the simultaneous detection of multiple viruses in a single sample (composed of serum or whole blood) for screening applications and uncompromised detection capabilities in samples contaminated with high levels of bacteria. By employing affinity-based capture, size discrimination, and a "digital" detection scheme to count single virus particles, we show that a robust and sensitive virus/nanoparticle sensing assay can be established for targets in complex samples. The nanoparticle microscopy system is termed the Single Particle Interferometric Reflectance Imaging Sensor (SP-IRIS) and is capable of high-throughput and rapid sizing of large numbers of biological nanoparticles on an antibody microarray for research and diagnostic applications.

Indexed as

Biosensing TechniquesVesiculovirusAnimalsDNA, ComplementaryDNA, ViralGlycoproteinsHemorrhagic Fever, EbolaHumansInterferometryLigandsLimit of DetectionMarburg Virus DiseaseNanoparticlesNanotechnologyNormal DistributionOligonucleotide Array Sequence AnalysisDNA, ComplementaryDNA, ViralGlycoproteinsLigands

Identifiers

PMID24840765
PMCPMC4466106

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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.