ReviewFEBS letters2014
Profiling the IgOme: meeting the challenge.
Review in FEBS letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Serum-antibody Profiling of H3N2-infected Ferrets Using a Combinatorial Phage-display Random Peptide Library.Journal of molecular biology · 2026Article
- Domain-Scan: Combinatorial Sero-Diagnosis of Infectious Diseases Using Machine Learning.Frontiers in immunology · 2020Article
- Diagnostic Profiling of the Human Public IgM Repertoire With Scalable Mimotope Libraries.Frontiers in immunology · 2019Article
- Phage display peptide libraries: deviations from randomness and correctives.Nucleic acids research · 2018Article
- 2016 International meeting of the Global Virus Network.Antiviral research · 2017Article
- Serological Evidence of Immune Priming by Group A Streptococci in Patients with Acute Rheumatic Fever.Frontiers in microbiology · 2016Article
- Serology in the 21st century: the molecular-level analysis of the serum antibody repertoire.Current opinion in immunology · 2015Review
- Stochastic particle barcoding for single-cell tracking and multiparametric analysis.Small (Weinheim an der Bergstrasse, Germany) · 2015Article
- A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological status.Genome medicine · 2015Article
- Interaction analysis through proteomic phage display.BioMed research international · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The entire repertoire of antibodies in our serum, the IgOme, is a historical record of our past experiences and a reflection of our immune status at any given moment. Understanding the dynamics of the IgOme and how the diversity and specificities of serum antibodies change in response to disease and maintenance of homeostasis can directly impact the ability to design and develop novel vaccines, diagnostics and therapeutics. Here we review both direct and indirect methodologies that are being developed to map the complexity and specificities of the antibodies in polyclonal serum - the IgOme.
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.