ArticleVaccine2015
Lessons learned in the analysis of high-dimensional data in vaccinomics.
Article in Vaccine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Systems Biology Analysis of the Radiation-Attenuated Schistosome Vaccine Reveals a Role for Growth Factors in Protection and Hemostasis Inhibition in Parasite Survival.Frontiers in immunology · 2021Article
- Current Challenges in Vaccinology.Frontiers in immunology · 2020Review
- Seroprevalence and durability of rubella virus antibodies in a highly immunized population.Vaccine · 2019Article
- Current perspectives in assessing humoral immunity after measles vaccination.Expert review of vaccines · 2019Review
- Perturbation of B Cell Gene Expression Persists in HIV-Infected Children Despite Effective Antiretroviral Therapy and Predicts H1N1 Response.Frontiers in immunology · 2017Article
- Integration of Immune Cell Populations, mRNA-Seq, and CpG Methylation to Better Predict Humoral Immunity to Influenza Vaccination: Dependence of mRNA-Seq/CpG Methylation on Immune Cell Populations.Frontiers in immunology · 2017Article
- Modeling HIV vaccine trials of the future.Current opinion in HIV and AIDS · 2016Review
- Flow-based sorting of neonatal lymphocyte populations for transcriptomics analysis.Journal of immunological methods · 2016Article
- Transcriptional signatures of influenza A/H1N1-specific IgG memory-like B cell response in older individuals.Vaccine · 2016Article
- The composition of immune cells serves as a predictor of adaptive immunity in a cohort of 50- to 74-year-old adults.Immunology · 2016Article
- An interaction quantitative trait loci tool implicates epistatic functional variants in an apoptosis pathway in smallpox vaccine eQTL data.Genes and immunity · 2016Article
- Vaccinology in the third millennium: scientific and social challenges.Current opinion in virology · 2016Review
- Immunosenescence-Related Transcriptomic and Immunologic Changes in Older Individuals Following Influenza Vaccination.Frontiers in immunology · 2016Article
- System-Wide Associations between DNA-Methylation, Gene Expression, and Humoral Immune Response to Influenza Vaccination.PloS one · 2016Article
- Variability in Humoral Immunity to Measles Vaccine: New Developments.Trends in molecular medicine · 2015Review
- Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The field of vaccinology is increasingly moving toward the generation, analysis, and modeling of extremely large and complex high-dimensional datasets. We have used data such as these in the development and advancement of the field of vaccinomics to enable prediction of vaccine responses and to develop new vaccine candidates. However, the application of systems biology to what has been termed "big data," or "high-dimensional data," is not without significant challenges-chief among them a paucity of gold standard analysis and modeling paradigms with which to interpret the data. In this article, we relate some of the lessons we have learned over the last decade of working with high-dimensional, high-throughput data as applied to the field of vaccinomics. The value of such efforts, however, is ultimately to better understand the immune mechanisms by which protective and non-protective responses to vaccines are generated, and to use this information to support a personalized vaccinology approach in creating better, and safer, vaccines for the public health.
Indexed as
Identifiers
What OpenQuestion holds
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.