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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Autores principales: Jenny Mattsson, Ludvig Ekdahl, Fredrik Junghus, Ram Ajore, Eva Erlandsson, Abhishek Niroula, Maroulio Pertesi, Björn Frendéus, Ingrid Teige, Björn Nilsson
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6e2a5135b9de48a8b79f53b16495e80f
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle 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
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AT ludvigekdahl acceleratingtargetdeconvolutionfortherapeuticantibodycandidatesusinghighlyparallelizedgenomeediting
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AT ramajore acceleratingtargetdeconvolutionfortherapeuticantibodycandidatesusinghighlyparallelizedgenomeediting
AT evaerlandsson acceleratingtargetdeconvolutionfortherapeuticantibodycandidatesusinghighlyparallelizedgenomeediting
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AT marouliopertesi acceleratingtargetdeconvolutionfortherapeuticantibodycandidatesusinghighlyparallelizedgenomeediting
AT bjornfrendeus acceleratingtargetdeconvolutionfortherapeuticantibodycandidatesusinghighlyparallelizedgenomeediting
AT ingridteige acceleratingtargetdeconvolutionfortherapeuticantibodycandidatesusinghighlyparallelizedgenomeediting
AT bjornnilsson acceleratingtargetdeconvolutionfortherapeuticantibodycandidatesusinghighlyparallelizedgenomeediting
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