Evidence map›Paper›PMID 31569048›Full record

ArticleiScience2019

A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells.

Guozhen Liu, Christina Bursill, Siân P Cartland, Ayad G Anwer, Lindsay M Parker, Kaixin Zhang, Shilun Feng, Meng He, David W Inglis, Mary M Kavurma and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Cytokines: From Clinical Significance to Quantification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  10. Review
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.

Guozhen LiuGraduate School of Biomedical Engineering, ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Faculty of Engineering, The University of New South Wales, Sydney, NSW 2052, Australia; ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia; International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China. Electronic address: guozhen.liu@unsw.edu.au.
Christina BursillHeart Health Theme, South Australian Health and Medical Research Institute, Adelaide, SA 5005, Australia; Heart Research Institute, Sydney 2042, Australia.
Siân P CartlandHeart Research Institute, Sydney 2042, Australia; Sydney Medical School, University of Sydney, Sydney, Australia.
Ayad G AnwerGraduate School of Biomedical Engineering, ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Faculty of Engineering, The University of New South Wales, Sydney, NSW 2052, Australia; ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia.
Lindsay M ParkerARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia.
Kaixin ZhangARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia.
Shilun FengARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia.
Meng HeARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia.
David W InglisARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia.
Mary M KavurmaHeart Research Institute, Sydney 2042, Australia; Sydney Medical School, University of Sydney, Sydney, Australia.
Mark R HutchinsonARC Centre of Excellence in Nanoscale Biophotonics (CNBP), School of Medicine, Adelaide University, Adelaide, SA 5005, Australia.
Ewa M GoldysGraduate School of Biomedical Engineering, ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Faculty of Engineering, The University of New South Wales, Sydney, NSW 2052, Australia; ARC Centre of Excellence in Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, NSW 2109, Australia. Electronic address: e.goldys@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a universal method termed OnCELISA to detect cytokine secretion from individual cells by applying a capture technology on the cell membrane. OnCELISA uses fluorescent magnetic nanoparticles as assay reporters that enable detection on a single-cell level in microscopy and flow cytometry and fluorimetry in cell ensembles. This system is flexible and can be modified to detect different cytokines from a broad range of cytokine-secreting cells. Using OnCELISA we have been able to select and sort highly cytokine-secreting cells and identify cytokine-secreting expression profiles of different cell populations in vitro and ex vivo. We show that this system can be used for ultrasensitive monitoring of cytokines in the complex biological environment of atherosclerosis that contains multiple cell types. The ability to identify and select cell populations based on their cytokine expression characteristics is valuable in a host of applications that require the monitoring of disease progression.

Indexed as

BiotechnologyCellNanomaterialsSensor

Identifiers

PMID31569048
PMCPMC6833483

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.