Evidence map›Paper›PMID 27933717›Full record

ArticleCytometry. Part B, Clinical cytometry2017

Mass Cytometry Analytical Approaches Reveal Cytokine-Induced Changes in Natural Killer Cells.

Elena Vendrame, Julia Fukuyama, Dara M Strauss-Albee, Susan Holmes, Catherine A Blish

Abstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Elena VendrameDepartment of Medicine, Stanford University, Stanford, California.
Julia FukuyamaDepartment of Statistics, Stanford University, Stanford, California.
Dara M Strauss-AlbeeStanford Immunology, Stanford University, Stanford, California.
Susan HolmesDepartment of Statistics, Stanford University, Stanford, California.
Catherine A BlishDepartment of Medicine, Stanford University, Stanford, California.

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
EMERGING INFECTIOUS DISEASEST32AI007502 · NIAID · STANFORD UNIVERSITY · PI Prasanna Jagannathan, DAVID A. RELMAN · 1995 to 2026
$6.8M
Modeling the influence of sex on natural killer cell networksDP2AI112193 · NIAID · STANFORD UNIVERSITY · PI BLISH, CATHERINE A · 2013 to 2015
$2.5M
Shaping Natural Killer repertoires and HIV responsiveness via antigen exposureR56AI124788 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI BLISH, CATHERINE A, PAUST, SILKE · 2016 to 2016
$738k
Defining the Natural Killer Cell Response to HIVF31AI118469 · NIAID · STANFORD UNIVERSITY · PI STRAUSS-ALBEE, DARA · 2015 to 2015
$43k
NIAID NIH HHS DP2 AI112193NIAID NIH HHS F31 AI118469NIAID NIH HHS R56 AI124788NIAID NIH HHS T32 AI007502NIAID NIH HHS U19 AI057229
6 · The paper itself

Abstract

backgroundNatural killer (NK) cells have antiviral and antitumor activity that could be harnessed for the treatment of infections and malignancies. To maintain cell viability and enhance antiviral and antitumor effects, NK cells are frequently treated with cytokines. Here they performed an extensive assessment of the effects of cytokines on the phenotype and function of human NK cells.

methodsThey used cytometry by time-of-flight (CyTOF) to evaluate NK cell repertoire changes after stimulation with interleukin (IL)-2, IL-15 or a combination of IL-12/IL-15/IL-18. To analyze the high dimensional CyTOF data, they used several statistical and visualization tools, including viSNE (Visualization of t-Distributed Stochastic Neighbor Embedding), Citrus (Cluster identification, characterization, and regression), correspondence analysis, and the Friedman-Rafsky test.

resultsAll three treatments (IL-2, IL-15, and IL-12/IL-15/IL-18) increase expression of CD56 and CD69. The effects of treatment with IL-2 and IL-15 are nearly indistinguishable and characterized principally by increased expression of surface markers including CD56, NKp30, NKp44, and increased expression of functional markers, such as perforin, granzyme B, and MIP-1β. The combination of IL-12/IL-15/IL-18 induces a profound shift in the repertoire structure, decreasing expression of CD16, CD57, CD8, NKp30, NKp46, and NKG2D, and dramatically increasing expression of IFN-γ.

conclusionsCyTOF provides insights into the effects of cytokines on the phenotype and function of NK cells, which could inform future research efforts and approaches to NK cell immunotherapy. There are several analytical approaches to CyTOF data, and the appropriate method should be carefully selected based on which aspect of the dataset is being explored. © 2016 International Clinical Cytometry Society.

Indexed as

Flow CytometryCytokinesGranzymesHumansImmunophenotypingImmunotherapyKiller Cells, NaturalNatural Cytotoxicity Triggering Receptor 2PerforinCytokinesGranzymesNatural Cytotoxicity Triggering Receptor 2NCR2 protein, humanPerforincytokinesIL-15IL-2mass cytometrymemory-like natural killer cellsnatural killer cells

Identifiers

PMID27933717
PMCPMC5266600

What OpenQuestion holds

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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.