Evidence map›Paper›PMID 31064085›Full record

ArticleMicromachines2019

Quantification and Imaging of Antigens on Cell Surface with Lipid-Encapsulated Fluorescent Nanodiamonds.

Feng-Jen Hsieh, Yen-Wei Chen, Yuen Yung Hui, Chun-Hung Lin, Huan-Cheng Chang

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 4 institutions in 1 country.

Feng-Jen HsiehInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan. fengjen.hsieh@gmail.com.
Yen-Wei ChenInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan. s123428@yahoo.com.tw.
Yuen Yung HuiInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan. yyhui@pub.iams.sinica.edu.tw.
Chun-Hung LinTaiwan International Graduate Program-Chemical Biology and Molecular Biophysics, Academia Sinica, Taipei 115, Taiwan. chunhung@gate.sinica.edu.tw.
Huan-Cheng ChangInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan. hchang@gate.sinica.edu.tw.
Institute of Atomic and Molecular Sciences, Academia Sinica · TWInstitute of Biological Chemistry, Academia Sinica · TWNational Taiwan University · TWNational Taiwan University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the density and locating the position of antigens on cell surface has been a challenge in molecular biology research. The challenge lies in the need for a chemically and photophysically stable fluorophore to achieve the required sensitivity and accuracy. Here, we present a method suitable for the purpose by using lipid-encapsulated fluorescent nanodiamonds (FNDs) of 35 nm in diameter as biolabels. The encapsulation of FNDs in biotinylated phospholipids not only facilitates good dispersion of the particles in biological buffers, but also endows them with high specific targeting ability. We demonstrated a viable application of the technique for biotin-mediated immunostaining of antigens on fixed human cells, identifying their positions by two-color confocal fluorescence imaging, and determining their densities by magnetically modulated fluorescence detection. A binding capacity of 6 ± 1 × 10

Indexed as

antigencell membranediamond nanoparticlefluorescence microscopymagnetic modulation

Identifiers

PMID31064085
PMCPMC6562960
OpenAlexW2943335236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.