Evidence map›Paper›PMID 18615598›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2008

Development of an automated analysis system for data from flow cytometric intracellular cytokine staining assays from clinical vaccine trials.

Nicholas Shulman, Matthew Bellew, George Snelling, Donald Carter, Yunda Huang, Hongli Li, Steven G Self, M Juliana McElrath, Stephen C De Rosa

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Eight practices for data management to enable team data science.Journal of clinical and translational science · 2020
    Article
  6. High-throughput flow cytometry data normalization for clinical trials.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2014
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Correlation analysis of intracellular and secreted cytokines via the generalized integrated mean fluorescence intensity.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2010
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Nicholas ShulmanLabKey Software Foundation, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
Matthew Bellew
George Snelling
Donald Carter
Yunda Huang
Hongli Li
Steven G Self
M Juliana McElrath
Stephen C De Rosa

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
HVTN Laboratory ProgramU01AI068618 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCELRATH, MARGARET JULIANA · 2006 to 2010
$82.6M
NIAID NIH HHS P30 AI027757NIAID NIH HHS U01 AI068618
6 · The paper itself

Abstract

Intracellular cytokine staining (ICS) by multiparameter flow cytometry is one of the primary methods for determining T-cell immunogenicity in HIV-1 clinical vaccine trials. Data analysis requires considerable expertise and time. The amount of data is quickly increasing as more and larger trials are performed, and thus there is a critical need for high-throughput methods of data analysis. A web-based flow cytometric analysis system, LabKey Flow, was developed for the analyses of data from standardized ICS assays. Using a gating template created manually in commercially available flow cytometric analysis software, the system automatically compensates and analyzes all data sets. Quality control queries were designed to identify potentially incorrect sample collections. Comparison of the semiautomated analysis performed by LabKey Flow and the manual analysis performed using FlowJo software demonstrated excellent concordance (concordance correlation coefficient > 0.990). Manual inspection of the analyses performed by LabKey Flow for eight-color ICS data files from several clinical vaccine trials indicated that template gates can appropriately be used for most data sets. Thus, the semiautomated LabKey Flow analysis system can accurately analyze large ICS data files. Routine use of the system does not require specialized expertise. This high-throughput analysis will provide great utility for rapid evaluation of complex multiparameter flow cytometric measurements collected from large clinical trials.

Indexed as

Flow CytometryInternetSoftwareAIDS VaccinesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCells, CulturedClinical Trials as TopicCytokinesCytoplasmData Interpretation, StatisticalHIV-1HIV InfectionsHumansQuality ControlAIDS VaccinesCytokines

Identifiers

PMID18615598
PMCPMC2591089

What OpenQuestion holds

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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.