Evidence map›Paper›PMID 22498143›Full record

ReviewMethods (San Diego, Calif.)2012

Single cell analysis using surface enhanced Raman scattering (SERS) tags.

John P Nolan, Erika Duggan, Er Liu, Danilo Condello, Isha Dave, Samuel A Stoner

Open access · greenAbstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 84 citations in OpenAlex.

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  18. Effect of hyperbaric oxygenation on mitochondrial function of neuronal cells in the cortex of neonatal rats after hypoxic-ischemic brain damage.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2016
    Article
  19. Article
  20. Multiplexed TEM Specimen Preparation and Analysis of Plasmonic Nanoparticles.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2015
    Article
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.

John P NolanLa Jolla Bioengineering Institute, 3535 General Atomics Court, San Diego, CA 92121, USA. jnolan@ljbi.org
Erika Duggan
Er Liu
Danilo Condello
Isha Dave
Samuel A Stoner
La Jolla Bioengineering Institute · USGeneral Atomics (United States) · US

Funding

Raman Flow Cytometry for Diagnostics and Drug DiscoveryR01EB003824 · NIBIB · SCINTILLON INSTITUTE FOR PHOTOBIOLOGY · PI NOLAN, JOHN P · 2004 to 2014
$12.2M
NIBIB NIH HHS R01 EB003824NIBIB NIH HHS R01EB003824
6 · The paper itself

Abstract

Fluorescence is a mainstay of bioanalytical methods, offering sensitive and quantitative reporting, often in multiplexed or multiparameter assays. Perhaps the best example of the latter is flow cytometry, where instruments equipped with multiple lasers and detectors allow measurement of 15 or more different fluorophores simultaneously, but increases beyond this number are limited by the relatively broad emission spectra. Surface enhanced Raman scattering (SERS) from metal nanoparticles can produce signal intensities that rival fluorescence, but with narrower spectral features that allow a greater degree of multiplexing. We are developing nanoparticle SERS tags as well as Raman flow cytometers for multiparameter single cell analysis of suspension or adherent cells. SERS tags are based on plasmonically active nanoparticles (gold nanorods) whose plasmon resonance can be tuned to give optimal SERS signals at a desired excitation wavelength. Raman resonant compounds are adsorbed on the nanoparticles to confer a unique spectral fingerprint on each SERS tag, which are then encapsulated in a polymer coating for conjugation to antibodies or other targeting molecules. Raman flow cytometry employs a high resolution spectral flow cytometer capable of measuring the complete SERS spectra, as well as conventional flow cytometry measurements, from thousands of individual cells per minute. Automated spectral unmixing algorithms extract the contributions of each SERS tag from each cell to generate high content, multiparameter single cell population data. SERS-based cytometry is a powerful complement to conventional fluorescence-based cytometry. The narrow spectral features of the SERS signal enables more distinct probes to be measured in a smaller region of the optical spectrum with a single laser and detector, allowing for higher levels of multiplexing and multiparameter analysis.

Indexed as

AlgorithmsCalibrationFlow CytometryFluorescenceFluorescent DyesGoldHumansLasersMetal NanoparticlesSingle-Cell AnalysisSpectrum Analysis, RamanStaining and LabelingSurface Plasmon ResonanceSurface PropertiesFluorescent DyesGold

Identifiers

PMID22498143
PMCPMC3569851
OpenAlexW1971708642

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.