Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing
Efficient deconvolution of antibody targets is needed for phenotype-based discovery. Here, the authors investigate a deconvolution approach based on pooled CRISPR Cas9 to achieve 97% deconvolution success rate.
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Nature Portfolio
2021
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oai:doaj.org-article:6e2a5135b9de48a8b79f53b16495e80f2021-12-02T15:52:44ZAccelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing10.1038/s41467-021-21518-42041-1723https://doaj.org/article/6e2a5135b9de48a8b79f53b16495e80f2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21518-4https://doaj.org/toc/2041-1723Efficient deconvolution of antibody targets is needed for phenotype-based discovery. Here, the authors investigate a deconvolution approach based on pooled CRISPR Cas9 to achieve 97% deconvolution success rate.Jenny MattssonLudvig EkdahlFredrik JunghusRam AjoreEva ErlandssonAbhishek NiroulaMaroulio PertesiBjörn FrendéusIngrid TeigeBjörn NilssonNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021) |
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Science Q Jenny Mattsson Ludvig Ekdahl Fredrik Junghus Ram Ajore Eva Erlandsson Abhishek Niroula Maroulio Pertesi Björn Frendéus Ingrid Teige Björn Nilsson Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing |
description |
Efficient deconvolution of antibody targets is needed for phenotype-based discovery. Here, the authors investigate a deconvolution approach based on pooled CRISPR Cas9 to achieve 97% deconvolution success rate. |
format |
article |
author |
Jenny Mattsson Ludvig Ekdahl Fredrik Junghus Ram Ajore Eva Erlandsson Abhishek Niroula Maroulio Pertesi Björn Frendéus Ingrid Teige Björn Nilsson |
author_facet |
Jenny Mattsson Ludvig Ekdahl Fredrik Junghus Ram Ajore Eva Erlandsson Abhishek Niroula Maroulio Pertesi Björn Frendéus Ingrid Teige Björn Nilsson |
author_sort |
Jenny Mattsson |
title |
Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing |
title_short |
Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing |
title_full |
Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing |
title_fullStr |
Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing |
title_full_unstemmed |
Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing |
title_sort |
accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/6e2a5135b9de48a8b79f53b16495e80f |
work_keys_str_mv |
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1718385576818769920 |