Whole Transcriptome Profiling Identifies CD93 and Other Plasma Cell Survival Factor Genes Associated with Measles-Specific Antibody Response after Vaccination

There are insufficient system-wide transcriptomic (or other) data that help explain the observed inter-individual variability in antibody titers after measles vaccination in otherwise healthy individuals. We performed a transcriptome(mRNA-Seq)-profiling study after in vitro viral stimulation of PBMC...

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Bibliographic Details
Published in:PloS one 2016-08, Vol.11 (8), p.e0160970-e0160970
Main Authors: Haralambieva, Iana H, Zimmermann, Michael T, Ovsyannikova, Inna G, Grill, Diane E, Oberg, Ann L, Kennedy, Richard B, Poland, Gregory A
Format: Article
Language:English
Subjects:
Adolescent
Analysis
Antibodies, Viral - immunology
Antibody response
Antibody Specificity
Antigens
Biological activity
Biological effects
Biology
Biology and Life Sciences
Biomarkers
Bone marrow
Care and treatment
Cell differentiation
Cell interactions
Cell signaling
Cell survival
Cell Survival - genetics
Child
Children
Cohort Studies
CXCL12 protein
Differentiation (biology)
Dosage and administration
Drug dosages
Female
Gene expression
Gene Expression Profiling
Gene Regulatory Networks
Genes
Genetic aspects
Genomes
Humans
Immunity
Infections
Influenza
Informatics
Interleukin 6
Leukocyte migration
Lymphocytes B
Male
Measles
Measles vaccines
Measles virus - immunology
Medicine
Medicine and Health Sciences
Membrane Glycoproteins - genetics
Modelling
Neutralizing
Plasma
Plasma cells
Plasma Cells - cytology
Plasma Cells - immunology
Receptors, Complement - genetics
Survival
Survival factor
Vaccination
Vaccines
Young Adult
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Summary:There are insufficient system-wide transcriptomic (or other) data that help explain the observed inter-individual variability in antibody titers after measles vaccination in otherwise healthy individuals. We performed a transcriptome(mRNA-Seq)-profiling study after in vitro viral stimulation of PBMCs from 30 measles vaccine recipients, selected from a cohort of 764 schoolchildren, based on the highest and lowest antibody titers. We used regression and network biology modeling to define markers associated with neutralizing antibody response. We identified 39 differentially expressed genes that demonstrate significant differences between the high and low antibody responder groups (p-value≤0.0002, q-value≤0.092), including the top gene CD93 (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0160970