ArticlePloS one2012
Deep Panning: steps towards probing the IgOme.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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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.
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Who cites it
38 citing papers in PubMed, 49 citations in OpenAlex.
- Serum-antibody Profiling of H3N2-infected Ferrets Using a Combinatorial Phage-display Random Peptide Library.Journal of molecular biology · 2026Article
- Review
- Antibody Polyreactivity: A Challenger of Immune Paradigms.Immunology · 2025Review
- A comparative analysis of sequence composition in different lots of a phage display peptide library during amplification.Virology journal · 2025Article
- Optimized Construction of a Yeast SICLOPPS Library for UnbiasedBiochemistry · 2024Article
- Reactivity Graph Yields Interpretable IgM Repertoire Signatures as Potential Tumor Biomarkers.International journal of molecular sciences · 2023Article
- Restriction of the Global IgM Repertoire in Antiphospholipid Syndrome.Frontiers in immunology · 2022Article
- Motifier: An IgOme Profiler Based on Peptide Motifs Using Machine Learning.Journal of molecular biology · 2021Article
- Phage Display to Augment Biomaterial Function.International journal of molecular sciences · 2020Review
- Article
- Domain-Scan: Combinatorial Sero-Diagnosis of Infectious Diseases Using Machine Learning.Frontiers in immunology · 2020Article
- The next generation of biopanning: next gen sequencing improves analysis of bacterial display libraries.BMC biotechnology · 2019Article
- Delineating Surface Epitopes of Lyme Disease Pathogen Targeted by Highly Protective Antibodies of New Zealand White Rabbits.Infection and immunity · 2019Article
- Serological Number for Characterization of Circulating Antibodies.International journal of molecular sciences · 2019Article
- Diagnostic Profiling of the Human Public IgM Repertoire With Scalable Mimotope Libraries.Frontiers in immunology · 2019Article
- SAROTUP: a suite of tools for finding potential target-unrelated peptides from phage display data.International journal of biological sciences · 2019Article
- Identification of Surface Epitopes Associated with Protection against Highly Immune-Evasive VlsE-Expressing Lyme Disease Spirochetes.Infection and immunity · 2018Article
- Phage display peptide libraries: deviations from randomness and correctives.Nucleic acids research · 2018Article
- Compositional Bias in Naïve and Chemically-modified Phage-Displayed Libraries uncovered by Paired-end Deep Sequencing.Scientific reports · 2018Article
- Biopanning data bank 2018: hugging next generation phage display.Database : the journal of biological databases and curation · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPolyclonal serum consists of vast collections of antibodies, products of differentiated B-cells. The spectrum of antibody specificities is dynamic and varies with age, physiology, and exposure to pathological insults. The complete repertoire of antibody specificities in blood, the IgOme, is therefore an extraordinarily rich source of information-a molecular record of previous encounters as well as a status report of current immune activity. The ability to profile antibody specificities of polyclonal serum at exceptionally high resolution has been an important and serious challenge which can now be overcome. METHODOLOGY/PRINCIPAL
findingsHere we illustrate the application of Deep Panning, a method that combines the flexibility of combinatorial phage display of random peptides with the power of high-throughput deep sequencing. Deep Panning is first applied to evaluate the quality and diversity of naïve random peptide libraries. The production of very large data sets, hundreds of thousands of peptides, has revealed unexpected properties of combinatorial random peptide libraries and indicates correctives to ensure the quality of the libraries generated. Next, Deep Panning is used to analyze a model monoclonal antibody in addition to allowing one to follow the dynamics of biopanning and peptide selection. Finally Deep Panning is applied to profile polyclonal sera derived from HIV infected individuals. CONCLUSIONS/SIGNIFICANCE: The ability to generate and characterize hundreds of thousands of affinity-selected peptides creates an effective means towards the interrogation of the IgOme and understanding of the humoral response to disease. Deep Panning should open the door to new possibilities for serological diagnostics, vaccine design and the discovery of the correlates of immunity to emerging infectious agents.
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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.