TY - JOUR
T1 - Rapid discovery of high-affinity antibodies via massively parallel sequencing, ribosome display and affinity screening
AU - Porebski, Benjamin T
AU - Balmforth, Matthew
AU - Browne, Gareth
AU - Riley, Aidan
AU - Jamali, Kiarash
AU - Fürst, Maximillian J L J
AU - Velic, Mirko
AU - Buchanan, Andrew
AU - Minter, Ralph
AU - Vaughan, Tristan
AU - Holliger, Philipp
N1 - © 2023. The Author(s).
PY - 2024/3
Y1 - 2024/3
N2 - Developing therapeutic antibodies is laborious and costly. Here we report a method for antibody discovery that leverages the Illumina HiSeq platform to, within 3 days, screen in the order of 10
8 antibody-antigen interactions. The method, which we named 'deep screening', involves the clustering and sequencing of antibody libraries, the conversion of the DNA clusters into complementary RNA clusters covalently linked to the instrument's flow-cell surface on the same location, the in situ translation of the clusters into antibodies tethered via ribosome display, and their screening via fluorescently labelled antigens. By using deep screening, we discovered low-nanomolar nanobodies to a model antigen using 4 × 10
6 unique variants from yeast-display-enriched libraries, and high-picomolar single-chain antibody fragment leads for human interleukin-7 directly from unselected synthetic repertoires. We also leveraged deep screening of a library of 2.4 × 10
5 sequences of the third complementarity-determining region of the heavy chain of an anti-human epidermal growth factor receptor 2 (HER2) antibody as input for a large language model that generated new single-chain antibody fragment sequences with higher affinity for HER2 than those in the original library.
AB - Developing therapeutic antibodies is laborious and costly. Here we report a method for antibody discovery that leverages the Illumina HiSeq platform to, within 3 days, screen in the order of 10
8 antibody-antigen interactions. The method, which we named 'deep screening', involves the clustering and sequencing of antibody libraries, the conversion of the DNA clusters into complementary RNA clusters covalently linked to the instrument's flow-cell surface on the same location, the in situ translation of the clusters into antibodies tethered via ribosome display, and their screening via fluorescently labelled antigens. By using deep screening, we discovered low-nanomolar nanobodies to a model antigen using 4 × 10
6 unique variants from yeast-display-enriched libraries, and high-picomolar single-chain antibody fragment leads for human interleukin-7 directly from unselected synthetic repertoires. We also leveraged deep screening of a library of 2.4 × 10
5 sequences of the third complementarity-determining region of the heavy chain of an anti-human epidermal growth factor receptor 2 (HER2) antibody as input for a large language model that generated new single-chain antibody fragment sequences with higher affinity for HER2 than those in the original library.
U2 - 10.1038/s41551-023-01093-3
DO - 10.1038/s41551-023-01093-3
M3 - Article
C2 - 37814006
SN - 2157-846X
SP - 214
EP - 232
JO - Nature biomedical engineering
JF - Nature biomedical engineering
ER -