ReviewMicrobial biotechnology2012
Systems biology in vaccine design.
Review in Microbial biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 45 citations in OpenAlex.
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Advancing molecular modeling and reverse vaccinology in broad-spectrum yellow fever virus vaccine development.Scientific reports · 2024Article
- In Silico Studies to Support Vaccine Development.Pharmaceutics · 2023Review
- Global Research Trend in Vaccine Design.Vaccines · 2022Review
- Systems Vaccinology in HIV Vaccine Development.Vaccines · 2022Article
- COVID-19 vaccine design using reverse and structural vaccinology, ontology-based literature mining and machine learning.Briefings in bioinformatics · 2022Article
- Analyzing the Systems Biology Effects of COVID-19 mRNA Vaccines to Assess Their Safety and Putative Side Effects.Pathogens (Basel, Switzerland) · 2022Article
- Review
- Use of Protamine in Nanopharmaceuticals-A Review.Nanomaterials (Basel, Switzerland) · 2021Review
- Immunoinformatics and molecular modeling approach to design universal multi-epitope vaccine for SARS-CoV-2.Informatics in medicine unlocked · 2021Article
- Single-Cell Analysis of Antigen-Specific CD8+ T-Cell Transcripts Reveals Profiles Specific to mRNA or Adjuvanted Protein Vaccines.Frontiers in immunology · 2021Article
- An in-silico approach to develop of a multi-epitope vaccine candidate against SARS-CoV-2 envelope (E) protein.Research square · 2020Article
- Use of gene expression studies to investigate the human immunological response to malaria infection.Malaria journal · 2019Review
- Review
- Systems Biology-Based Platforms to Accelerate Research of Emerging Infectious Diseases.Yonsei medical journal · 2018Review
- Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background.PLoS computational biology · 2017Article
- Predicting RTS,S Vaccine-Mediated Protection from Transcriptomes in a Malaria-Challenge Clinical Trial.Frontiers in immunology · 2017Article
- Proteomic contributions to our understanding of vaccine and immune responses.Proteomics. Clinical applications · 2015Review
- An Overview of Challenges Limiting the Design of Protective Mucosal Vaccines for Finfish.Frontiers in immunology · 2015Review
- A Stochastic Model for CD4+ T Cell Proliferation and Dissemination Network in Primary Immune Response.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vaccines are the most effective tools to prevent infectious diseases and to minimize their impact on humans or animals. Despite the successful development of vaccines that are able to elicit potent and protective immune responses, the majority of vaccines have been so far developed empirically and mechanistic events leading to protective immune responses are often poorly understood. This hampers the development of new prophylactic as well as therapeutic vaccines for infectious diseases and cancer. Biological correlates of immune-mediated protection are currently based on standard readout such as antibody titres and ELISPOT assays. The development of successful vaccines for difficult settings, such as infectious agents leading to chronic infection (HIV, HCV...) or cancer, calls for novel 'readout systems' or 'correlates' of immune-mediated protection that would reliably predict immune responses to novel vaccines in vivo. Systems biology offers a new approach to vaccine design that is based upon understanding the molecular network mobilized by vaccination. Systems vaccinology approaches investigate more global correlates of successful vaccination, beyond the specific immune response to the antigens administered, providing new methods for measuring early vaccine efficacy and ultimately generating hypotheses for understanding the mechanisms that underlie successful immunogenicity. Using functional genomics, specific molecular signatures of individual vaccine can be identified and used as predictors of vaccination efficiency. The immune response to vaccination involves the coordinated induction of master transcription factors that leads to the development of a broad, polyfunctional and persistent immune response integrating all effector cells of the immune systems.
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.