Evidence map›Paper›PMID 31423780›Full record

ArticleACS sensors2019

Ultrasimple Single-Cell Detection of Multiple Cytokines by a Nanowell Chip Integrated with Encoded Microarrays.

Mohammed A A Abdullah, Jun Wang

Abstract read
In one paragraph

Article in ACS sensors, 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. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. The Intriguing Landscape of Single-Cell Protein Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  8. Review
  9. Article
  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

2 authors.

Mohammed A A AbdullahMultiplex Biotechnology Laboratory, Department of Chemistry , University at Albany, State University of New York , Albany , New York 12222 , United States.
Jun WangMultiplex Biotechnology Laboratory, Department of Chemistry , University at Albany, State University of New York , Albany , New York 12222 , United States.ORCID 0000-0002-8781-8248

Funding

Development of Single-Cell Multiplex in Situ Tagging Microtechnology for Comprehensive Profiling of Functionally Diverse Subpopulations and Their Signaling PathwaysR01GM128984 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI WANG, JUN · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM128984
6 · The paper itself

Abstract

Cytokine production is often regarded as the marker of immune cells' activation status. The spectrum and temporal secretion of cytokines are dramatically varied between cell phenotypes and even within the same phenotype. Multiparameter analysis of individual immune cell's cytokine secretion has always been a challenging and complicated process that needs special facilities in a laboratory setting. Herein, we present an ultrasimple method with high sensitivity and high robustness to quantify cytokine expression at the single-cell resolution. A microchip is developed based on poly(dimethylsiloxane) nanowells on sticky tape, while each nanowell is integrated with a DNA-antibody convertible microarray. Only pipetting is needed for the whole single-cell analysis process. The sensitivity of the assay is evaluated by measuring various concentrations of six recombinant cytokine proteins, which was found comparable to conventional methods. Once single cells are loaded to nanowells and incubated there, a Fluorinert FC-40 is used to isolate nanowells; so, cytokines from those cells are captured by separate microarrays. The rest of the sandwich enzyme-linked immunosorbent assay detection process is also executed simply by pipetting of various reagents. This method is validated by measuring cytokine production from hundreds of single cells. It has simplified a typically sophisticated multiplex single-cell assay into an instrument-free, point-of-detection technology, and thus it may find a broad utility in clinical diagnostics.

Indexed as

Cell LineCytokinesHumansMicroarray AnalysisNanotechnologySingle-Cell AnalysisCytokinesmicrochipmultiplexpoint-of-care diagnosissimple methodsingle-cell analysis

Identifiers

PMID31423780
PMCPMC6765397

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Registered trials

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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.