Mining human antibody repertoires
50 citations recorded by the source corpus.
Human monoclonal antibodies (mAbs) have become drugs of choice for the management of an increasing number of human diseases. Human antibody repertoires provide a rich source for human mAbs. Here we review the characteristics of natural and non-natural human antibody repertoires and their mining with non-combinatorial and combinatorial strategies. In particular, we discuss the selection of human mAbs from naïve, immune, transgenic, and synthetic human antibody repertoires using methods based on hybridoma technology, clonal expansion of peripheral B cells, single-cell PCR, phage display, yeast display, and mammalian cell display. Our reliance on different strategies is shifting as we gain experience and refine methods to the efficient generation of human mAbs with superior pharmacokinetic and pharmacodynamic properties.
Subfields: Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging
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In Immunology
- Adam J. Riesselman
- Christopher Sander
- Theam Soon Lim
- Jung-Eun Shin
- Aaron W. Kollasch
- Elana Simon
- Yee-Siew Choong
- A. Manglik
In Molecular Biology
- Debora Marks
- Christopher Sander
- Adam J. Riesselman
- Jung-Eun Shin
- A. Kruse
- Conor McMahon
- A. Manglik
- Elana Simon
In Radiology, Nuclear Medicine and Imaging
- Adam J. Riesselman
- Christopher Sander
- Theam Soon Lim
- Jung-Eun Shin
- Aaron W. Kollasch
- Elana Simon
- Yee-Siew Choong
- A. Manglik
Citations in the corpus
- Cognizance of Molecular Methods for the Generation of Mutagenic Phage Display Antibody Libraries for Affinity Maturation (2019, background): “The combinatorial antibody library functions to mimic the natural antibody repertoire through the presentation of unique antibodies by billions of phage particles [24].”
- Naïve Human Antibody Libraries for Infectious Diseases (2018, background): “Peripheral blood contains a high proportion of naïve B cells, making peripheral blood a very good source for B cells [61] .”
- Protein design and variant prediction using autoregressive generative models (2021, background): “…poly-reactive nanobody sequences, training on a naïve llama repertoire, which presumably contains a moderate proportion of poly-reactive sequences 81 – 87 , the designed library shows similar levels of poly-reactivity to the synthetic library, which had been designed according to a small set of…”