Evidence map›Paper›PMID 28837583›Full record

ArticlePloS one2017

Single-cell profiling of dynamic cytokine secretion and the phenotype of immune cells.

Xingyue An, Victor G Sendra, Ivan Liadi, Balakrishnan Ramesh, Gabrielle Romain, Cara Haymaker, Melisa Martinez-Paniagua, Yanbin Lu, Laszlo G Radvanyi, Badrinath Roysam and 1 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Research advances on TIL therapy for colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  5. Article
  6. Article
  7. Probing T-cell activation in nanoliter tumor co-cultures using membrane displacement trap arrays.Integrative biology : quantitative biosciences from nano to macro · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Intriguing Landscape of Single-Cell Protein Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors.

Xingyue AnDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, United States of America.ORCID http://orcid.org/0000-0001-9912-0683
Victor G SendraDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, United States of America.
Ivan LiadiDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, United States of America.
Balakrishnan RameshDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, United States of America.
Gabrielle RomainDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, United States of America.
Cara HaymakerDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Melisa Martinez-PaniaguaDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, United States of America.
Yanbin LuDepartment of Electrical and Computer Engineering, University of Houston, Houston, Texas, United States of America.
Laszlo G RadvanyiDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Badrinath RoysamDepartment of Electrical and Computer Engineering, University of Houston, Houston, Texas, United States of America.
Navin VaradarajanDepartment of Chemical and Biomolecular Engineering, University of Houston, Houston, Texas, United States of America.ORCID http://orcid.org/0000-0001-7524-8228

Funding

Quantitative single-cell biomarkers of T-cells to optimize tumor immunotherapyR01CA174385 · NCI · UNIVERSITY OF HOUSTON · PI COOPER, LAURENCE J.N., VARADARAJAN, NAVIN · 2012 to 2015
$2.1M
NCI NIH HHS R01 CA174385
6 · The paper itself

Abstract

Natural killer (NK) cells are a highly heterogeneous population of innate lymphocytes that constitute our first line of defense against several types of tumors and microbial infections. Understanding the heterogeneity of these lymphocytes requires the ability to integrate their underlying phenotype with dynamic functional behaviors. We have developed and validated a single-cell methodology that integrates cellular phenotyping and dynamic cytokine secretion based on nanowell arrays and bead-based molecular biosensors. We demonstrate the robust passivation of the polydimethylsiloxane (PDMS)-based nanowells arrays with polyethylene glycol (PEG) and validated our assay by comparison to enzyme-linked immunospot (ELISPOT) assays. We used numerical simulations to optimize the molecular density of antibodies on the surface of the beads as a function of the capture efficiency of cytokines within an open-well system. Analysis of hundreds of individual human peripheral blood NK cells profiled ex vivo revealed that CD56dimCD16+ NK cells are immediate secretors of interferon gamma (IFN-γ) upon activation by phorbol 12-myristate 13-acetate (PMA) and ionomycin (< 3 h), and that there was no evidence of cooperation between NK cells leading to either synergistic activation or faster IFN-γ secretion. Furthermore, we observed that both the amount and rate of IFN-γ secretion from individual NK cells were donor-dependent. Collectively, these results establish our methodology as an investigational tool for combining phenotyping and real-time protein secretion of individual cells in a high-throughput manner.

Indexed as

ImmunophenotypingCD56 AntigenCytokinesDimethylpolysiloxanesEnzyme-Linked Immunosorbent AssayGPI-Linked ProteinsHumansKiller Cells, NaturalReceptors, IgGSingle-Cell AnalysisTetradecanoylphorbol AcetatebaysilonCD56 AntigenCytokinesDimethylpolysiloxanesFCGR3B protein, humanGPI-Linked ProteinsNCAM1 protein, humanReceptors, IgGTetradecanoylphorbol Acetate

Identifiers

PMID28837583
PMCPMC5570329

What OpenQuestion holds

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LicenceCC BY
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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.