Deciphering integration loci of CHO manufacturing cell lines using long read nanopore sequencing.
CHO
Concatemers
Integration site
Nanopore sequencing
Random integration
Random transfection
Journal
New biotechnology
ISSN: 1876-4347
Titre abrégé: N Biotechnol
Pays: Netherlands
ID NLM: 101465345
Informations de publication
Date de publication:
25 Jul 2023
25 Jul 2023
Historique:
received:
20
12
2022
revised:
02
03
2023
accepted:
13
03
2023
medline:
11
4
2023
pubmed:
17
3
2023
entrez:
16
3
2023
Statut:
ppublish
Résumé
Despite advances in genetic characterization of Chinese hamster ovary (CHO) cell lines regarding identification of integration sites using next generation sequencing, e.g. targeted locus amplification sequencing (TLA-seq), the concatemer structure of the integrated vectors remains elusive. Here, the entire integration locus of two CHO manufacturing cell lines was reconstructed combining CRISPR/Cas9 target enrichment, nanopore sequencing and the Canu de novo assembly pipeline. An IgG producing CHO cell line integrated 3 vector copies, which were near full-length and contained all relevant vector elements such as transgenes and their promoters on each of the vector copies. In contrast, a second CHO cell line producing a bivalent bispecific antibody integrated 7 highly fragmented vector copies in different orientations leading to head-to-head and tail-to-tail fusions. The size of the vector fragments ranged from 3.0 to 11.4 kbp each carrying 1-3 transgenes. The breakpoints of the genome-vector and vector-vector junctions were validated using Sanger sequencing and Southern blotting. A comparison to TLA-seq data confirmed the genomic breakpoints, but most of the breakpoints of the vector-vector fusions were missed by TLA-seq. For the first time, the complete transgene locus of CHO manufacturing cell lines could be deciphered. Strikingly, the application of the nanopore long-read sequencing technology led to novel insights into the complexity of genomic transgene integrations of CHO manufacturing cell lines generated via random integration.
Identifiants
pubmed: 36925062
pii: S1871-6784(23)00007-9
doi: 10.1016/j.nbt.2023.03.003
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
31-39Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of Interest All authors declare no conflict of interest to exist for any of the work published in this manuscript. All authors are employees of Boehringer Ingelheim, which sells pharmaceuticals.