ArticlemAbs2016
A novel antibody discovery platform identifies anti-influenza A broadly neutralizing antibodies from human memory B cells.
Article in mAbs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- What Antibody Repertoires See: Structural and Immunogenetic Insights Into Influenza A Virus Hemagglutinin Recognition.Immunological reviews · 2026Review
- Neutralizing monoclonal antibodies as effective therapeutics and prophylactics against lethal H10N7 avian influenza infection in a mouse model.Veterinary research · 2025Article
- Passive Immunotherapy Against SARS-CoV-2: From Plasma-Based Therapy to Single Potent Antibodies in the Race to Stay Ahead of the Variants.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2022Review
- Effective high-throughput isolation of fully human antibodies targeting infectious pathogens.Nature protocols · 2021Review
- Generation of neutralizing and non-neutralizing monoclonal antibodies against H7N9 influenza virus.Emerging microbes & infections · 2020Article
- An Effective Neutralizing Antibody Against Influenza Virus H1N1 from Human B Cells.Scientific reports · 2019Article
- Recombinant human B cell repertoires enable screening for rare, specific, and natively paired antibodies.Communications biology · 2018Article
- Anti-MrkA Monoclonal Antibodies Reveal Distinct Structural and Antigenic Features of MrkA.PloS one · 2017Article
- DMAb inoculation of synthetic cross reactive antibodies protects against lethal influenza A and B infections.NPJ vaccines · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monoclonal antibody isolation directly from circulating human B cells is a powerful tool to delineate humoral responses to pathological conditions and discover antibody therapeutics. We have developed a platform aimed at improving the efficiencies of B cell selection and V gene recovery. Here, memory B cells are activated and amplified using Epstein-Barr virus infection, co-cultured with CHO-muCD40L cells, and then assessed by functional screenings. An in vitro transcription and translation (IVTT) approach was used to analyze variable (V) genes recovered from each B cell sample and identify the relevant heavy/light chain pair(s). We achieved efficient amplification and activation of memory B cells, and eliminated the need to: 1) seed B cells at clonal level (≤1 cell/well) or perform limited dilution cloning; 2) immortalize B cells; or 3) assemble V genes into an IgG expression vector to confirm the relevant heavy/light chain pairing. Cross-reactive antibodies targeting a conserved epitope on influenza A hemagglutinin were successfully isolated from a healthy donor. In-depth analysis of the isolated antibodies suggested their potential uses as anti-influenza A antibody therapeutics and uncovered a distinct affinity maturation pathway. Importantly, our results showed that cognate heavy/light chain pairings contributed to both the expression level and binding abilities of our newly isolated VH1-69 family, influenza A neutralizing antibodies, contrasting with previous observations that light chains do not significantly contribute to the function of this group of antibodies. Our results further suggest the potential use of the IVTT as a powerful antibody developability assessment tool.
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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.