ArticleJournal of proteome research2011
Systems biology approach predicts antibody signature associated with Brucella melitensis infection in humans.
Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 36 citations in OpenAlex.
- The synergistic pathogenic mechanism ofJournal of medical microbiology · 2025Article
- Developments and Applications of Functional Protein Microarrays.Molecular & cellular proteomics : MCP · 2020Review
- Protein-Specific Features Associated with Variability in Human Antibody Responses toThe American journal of tropical medicine and hygiene · 2018Article
- Development of ELISAs for diagnosis of acute typhoid fever in Nigerian children.PLoS neglected tropical diseases · 2017Article
- Identification of Novel Serodiagnostic Signatures of Typhoid Fever Using aFrontiers in microbiology · 2017Article
- Article
- A systems biology approach for diagnostic and vaccine antigen discovery in tropical infectious diseases.Current opinion in infectious diseases · 2015Review
- A Pneumococcal Protein Array as a Platform to Discover Serodiagnostic Antigens Against Infection.Molecular & cellular proteomics : MCP · 2015Article
- Towards High-throughput Immunomics for Infectious Diseases: Use of Next-generation Peptide Microarrays for Rapid Discovery and Mapping of Antigenic Determinants.Molecular & cellular proteomics : MCP · 2015Article
- On Brucella pathogenesis: looking for the unified challenge in systems and synthetic biology.Systems and synthetic biology · 2015Article
- Identification of novel Mycobacterium tuberculosis CD4 T-cell antigens via high throughput proteome screening.Tuberculosis (Edinburgh, Scotland) · 2015Article
- Proteomic features predict seroreactivity against leptospiral antigens in leptospirosis patients.Journal of proteome research · 2015Article
- T cell antigen discovery using soluble vaccinia proteome reveals recognition of antigens with both virion and nonvirion association.Journal of immunology (Baltimore, Md. : 1950) · 2014Article
- A protein-conjugate approach to develop a monoclonal antibody-based antigen detection test for the diagnosis of human brucellosis.PLoS neglected tropical diseases · 2014Article
- The impact of "omic" and imaging technologies on assessing the host immune response to biodefence agents.Journal of immunology research · 2014Review
- Brucella melitensis T cell epitope recognition in humans with brucellosis in Peru.Infection and immunity · 2014Article
- Pre-erythrocytic antibody profiles induced by controlled human malaria infections in healthy volunteers under chloroquine prophylaxis.Scientific reports · 2013Article
- Overview of protein microarrays.Current protocols in protein science · 2013Review
- A foodborne outbreak of brucellosis at a police station cafeteria, Lima, Peru.The American journal of tropical medicine and hygiene · 2013Article
- Sustained and differential antibody responses to virulence proteins of Brucella melitensis during acute and chronic infections in human brucellosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 6 institutions in 2 countries.
Funding
Abstract
A complete understanding of the factors that determine selection of antigens recognized by the humoral immune response following infectious agent challenge is lacking. Here we illustrate a systems biology approach to identify the antibody signature associated with Brucella melitensis (Bm) infection in humans and predict proteomic features of serodiagnostic antigens. By taking advantage of a full proteome microarray expressing previously cloned 1406 and newly cloned 1640 Bm genes, we were able to identify 122 immunodominant antigens and 33 serodiagnostic antigens. The reactive antigens were then classified according to annotated functional features (COGs), computationally predicted features (e.g., subcellular localization, physical properties), and protein expression estimated by mass spectrometry (MS). Enrichment analyses indicated that membrane association and secretion were significant enriching features of the reactive antigens, as were proteins predicted to have a signal peptide, a single transmembrane domain, and outer membrane or periplasmic location. These features accounted for 67% of the serodiagnostic antigens. An overlay of the seroreactive antigen set with proteomic data sets generated by MS identified an additional 24%, suggesting that protein expression in bacteria is an additional determinant in the induction of Brucella-specific antibodies. This analysis indicates that one-third of the proteome contains enriching features that account for 91% of the antigens recognized, and after B. melitensis infection the immune system develops significant antibody titers against 10% of the proteins with these enriching features. This systems biology approach provides an empirical basis for understanding the breadth and specificity of the immune response to B. melitensis and a new framework for comparing the humoral responses against other microorganisms.
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.