ArticleScientific reports2013
High-resolution temporal response patterns to influenza vaccine reveal a distinct human plasma cell gene signature.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis.Bioinformatics (Oxford, England) · 2020Pooled it
- Improved Specificity and False Discovery Rates for Multiplex Analysis of Changes in Strain-Specific Anti-Influenza IgG.Computational and mathematical methods in medicine · 2019Trial
- Adjuvant-Associated Peripheral Blood mRNA Profiles and Kinetics Induced by the Adjuvanted Recombinant Protein Candidate Tuberculosis Vaccine M72/AS01 in Bacillus Calmette-Guérin-Vaccinated Adults.Frontiers in immunology · 2018Trial
- Not all plasma cells are made equal: well-hidden layers of heterogeneity.Frontiers in immunology · 2026Review
- Article
- Primate retroelement exonization and sexually dimorphicScience immunology · 2025Article
- Transcriptome analysis in human breast milk and blood in a randomized trial after inactivated or attenuated influenza immunization.NPJ vaccines · 2025Article
- Distinct baseline immune characteristics associated with responses to conjugated and unconjugated pneumococcal polysaccharide vaccines in older adults.Nature immunology · 2024Article
- Harnessing Variability Signatures and Biological Noise May Enhance Immunotherapies' Efficacy and Act as Novel Biomarkers for Diagnosing and Monitoring Immune-Associated Disorders.ImmunoTargets and therapy · 2024Article
- Distinct baseline immune characteristics associated with responses to conjugated and unconjugated pneumococcal polysaccharide vaccines in older adults.medRxiv : the preprint server for health sciences · 2023Article
- Plasma cells are not restricted to the CD27+ phenotype: characterization of CD27-CD43+ antibody-secreting cells.Frontiers in immunology · 2023Article
- Rapid Evaluation of Vaccine Booster Effectiveness against SARS-CoV-2 Variants.Microbiology spectrum · 2022Article
- The Immune Signatures data resource, a compendium of systems vaccinology datasets.Scientific data · 2022Article
- Evaluation of determinants of the serological response to the quadrivalent split-inactivated influenza vaccine.Molecular systems biology · 2022Article
- Article
- Differential gene expression in peripheral blood mononuclear cells from children immunized with inactivated influenza vaccine.Human vaccines & immunotherapeutics · 2020Article
- Rejuvenating conventional dendritic cells and T follicular helper cell formation after vaccination.eLife · 2020Article
- Cyclosporine a directly affects human and mouse b cell migration in vitro by disrupting a hIF-1 αdependent, oBMC immunology · 2020Article
- Memory B Cell Activation, Broad Anti-influenza Antibodies, and Bystander Activation Revealed by Single-Cell Transcriptomics.Cell reports · 2020Article
- The role of systems biology approaches in determining molecular signatures for the development of more effective vaccines.Expert review of vaccines · 2019Review
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
To identify sources of inter-subject variation in vaccine responses, we performed high-frequency sampling of human peripheral blood cells post-vaccination, followed by a novel systems biology analysis. Functional principal component analysis was used to examine time varying B cell vaccine responses. In subjects vaccinated within the previous three years, 90% of transcriptome variation was explained by a single subject-specific mathematical pattern. Within individual vaccine response patterns, a common subset of 742 genes was strongly correlated with migrating plasma cells. Of these, 366 genes were associated with human plasmablasts differentiating in vitro. Additionally, subject-specific temporal transcriptome patterns in peripheral blood mononuclear cells identified migration of myeloid/dendritic cell lineage cells one day after vaccination. Upstream analyses of transcriptome changes suggested both shared and subject-specific transcription groups underlying larger patterns. With robust statistical methods, time-varying response characteristics of individual subjects were effectively captured along with a shared plasma cell gene signature.
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Registered trials
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.