Evidence map›Paper›PMID 21277306›Full record

ArticleJournal of immunological methods2011

Optimizing high dimensional gene expression studies for immune response following smallpox vaccination using Taqman® low density immune arrays.

Ann L Oberg, Neelam Dhiman, Diane E Grill, Jenna E Ryan, Richard B Kennedy, Gregory A Poland

Abstract read
In one paragraph

Article in Journal of immunological methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

6 authors.

Ann L ObergDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
Neelam Dhiman
Diane E Grill
Jenna E Ryan
Richard B Kennedy
Gregory A Poland

Funding

MAYO CLINIC CENTER FOR TRANSLATIONAL SCIENCE ACTIVITIESUL1RR024150 · NCRR · MAYO CLINIC ROCHESTER · PI RIZZA, ROBERT A. · 2006 to 2011
$66.4M
NCRR NIH HHS 1 UL1 RR024150NCRR NIH HHS UL1 RR024150NIAID NIH HHS N01 AI040065NIAID NIH HHS N01-AI40065
6 · The paper itself

Abstract

introductionWe sought to determine the time and vaccinia virus dose combination that would maximize the number of acute immune response changes in response to vaccinia stimulation in preparation for a large gene expression microarray experiment.

methodsPBMCs from ten subjects were exposed to five vaccinia virus doses for three lengths of time. Gene expression was measured for 90 immune response genes via Taqman® Low Density Immune Arrays. Expression data were normalized via model-based non-linear normalization. Linear mixed effects model results were used to standardize changes across genes and determine the time/multiplicity of infection (MOI) combination with the largest number of changes.

resultsThe greatest number of changes occurred with a MOI of 5.0 and exposure time of 48 h. Further inspection revealed that most changes had occurred earlier and faded at this combination. The second highest number of changes was found at a MOI of 0.5 PFU/cell and time of 18 h.

conclusionsWe conclude a time of 18 h with a MOI of 0.5 PFU/cell is the optimal time/MOI combination for the full scale gene expression study. The strategy described herein is a general and resource efficient way to make critical decisions regarding experimental parameters for studies utilizing expensive assays that interrogate a large number of variables.

Indexed as

Genes, MHC Class IIAdolescentAdultAntibodies, NeutralizingAntibodies, ViralCytokinesDose-Response Relationship, ImmunologicGene Expression ProfilingHumansIn Vitro TechniquesLeukocytes, MononuclearOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionSmallpox VaccineVaccinia virusYoung AdultAntibodies, NeutralizingAntibodies, ViralCytokinesSmallpox Vaccine

Identifiers

PMID21277306
PMCPMC3051012

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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.