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RAISING is a high-performance method for identifying random transgene integration sites.

ABSTRACT: Both natural viral infections and therapeutic interventions using viral vectors pose significant risks of malignant transformation. Monitoring for clonal expansion of infected cells is important for detecting cancer. Here we developed a novel method of tracking clonality via the detection of transgene integration sites. RAISING (Rapid Amplification of Integration Sites without Interference by Genomic DNA contamination) is a sensitive, inexpensive alternative to established methods. Its compatibility with Sanger sequencing combined with our CLOVA (Clonality Value) software is critical for those without access to expensive high throughput sequencing. We analyzed samples from 688 individuals infected with the retrovirus HTLV-1, which causes adult T-cell leukemia/lymphoma (ATL) to model our method. We defined a clonality value identifying ATL patients with 100% sensitivity and 94.8% specificity, and our longitudinal analysis also demonstrates the usefulness of ATL risk assessment. Future studies will confirm the broad applicability of our technology, especially in the emerging gene therapy sector.

SUBMITTER: Wada Y

PROVIDER: S-EPMC9163355 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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RAISING is a high-performance method for identifying random transgene integration sites.

Wada Yusaku Y Sato Tomoo T Hasegawa Hiroo H Matsudaira Takahiro T Nao Naganori N Coler-Reilly Ariella L G ALG Tasaka Tomohiko T Yamauchi Shunsuke S Okagawa Tomohiro T Momose Haruka H Tanio Michikazu M Kuramitsu Madoka M Sasaki Daisuke D Matsumoto Nariyoshi N Yagishita Naoko N Yamauchi Junji J Araya Natsumi N Tanabe Kenichiro K Yamagishi Makoto M Nakashima Makoto M Nakahata Shingo S Iha Hidekatsu H Ogata Masao M Muramatsu Masamichi M Imaizumi Yoshitaka Y Uchimaru Kaoru K Miyazaki Yasushi Y Konnai Satoru S Yanagihara Katsunori K Morishita Kazuhiro K Watanabe Toshiki T Yamano Yoshihisa Y Saito Masumichi M

Communications biology 20220602 1

Both natural viral infections and therapeutic interventions using viral vectors pose significant risks of malignant transformation. Monitoring for clonal expansion of infected cells is important for detecting cancer. Here we developed a novel method of tracking clonality via the detection of transgene integration sites. RAISING (Rapid Amplification of Integration Sites without Interference by Genomic DNA contamination) is a sensitive, inexpensive alternative to established methods. Its compatibi ...[more]

PMID: 35654946

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Project description:Genetically modified CHO cell lines are traditionally used for the production of biopharmaceuticals. However, an in-depth molecular understanding of the mechanism and exact position of transgene integration into the genome of pharmaceutical manufacturing cell lines is still scarce. Next-generation sequencing (NGS) holds great promise for strongly facilitating the understanding of CHO cell factories, as it has matured to a powerful and affordable technology for cellular genotype analysis. Targeted Locus Amplification (TLA) combined with NGS allows for robust detection of genomic positions of transgene integration and structural genomic changes occurring upon stable integration of expression vectors. TLA was applied to generate comparative genomic fingerprints of several CHO production cell lines expressing different monoclonal antibodies. Moreover, high producers resulting from an additional round of transfection of an existing cell line (supertransfection) were analyzed to investigate the integrity and the number of integration sites. Our analyses enabled detailed genetic characterization of the integration regions with respect to the number of integrates and structural changes of the host cell's genome. Single integration sites per clone with concatenated transgene copies could be detected and were in some cases found to be associated with genomic rearrangements, deletions or translocations. Supertransfection resulted in an increase in titer associated with an additional integration site per clone. Based on the TLA fingerprints, CHO cell lines originating from the same mother clone could clearly be distinguished. Interestingly, two CHO cell lines originating from the same mother clone were shown to differ genetically and phenotypically despite their identical TLA fingerprints. Taken together, TLA provides an accurate genetic characterization with respect to transgene integration sites compared with conventional methods and represents a valuable tool for a comprehensive evaluation of CHO production clones early in cell line development.

Project description:BackgroundThe ascomycete fungus Trichoderma reesei was widely used as a biotechnological workhorse for production of cellulases and recombinant proteins due to its large capacity of protein secretion. Transgenesis by random integration of a gene of interest (GOI) into the genome of T. reesei can generate series of strains that express different levels of the indicated transgene. The insertion site of the GOI plays an important role in the ultimate production of the targeted proteins. However, so far no systematic studies have been made to identify transgene integration loci for optimal expression of the GOI in T. reesei. Currently, only the locus of exocellobiohydrolases I encoding gene (cbh1) is widely used as a promising integration site to lead to high expression level of the GOI. No additional sites associated with efficient gene expression have been characterized.ResultsTo search for gene integration sites that benefit for the secreted expression of GOI, the food-and-mouth disease virus 2A protein was applied for co-expression of an Aspergillus niger lipA gene and Discosoma sp. DsRed1 gene in T. reesei, by random integration of the expression cassette into the genome. We demonstrated that the fluorescent intensity of RFP (red fluorescent protein) inside of the cell was well correlated with the secreted lipase yields, based on which, we successfully developed a high-throughput screening method to screen strains with relatively higher secreted expression of the GOI (in this study, lipase). The copy number and the insertion sites of the transgene were investigated among the selected highly expressed strains. Eventually, in addition to cbh1 gene locus, two other genome insertion loci that efficiently facilitate gene expression in T. reesei were identified.ConclusionsWe have successfully developed a high-throughput screening method to screen strains with optimal expression of the indicated secreted proteins in T. reesei. Moreover, we identified two optimal genome loci for transgene expression, which could provide new approach to modulate gene expression levels while retaining the indicated promoter and culture conditions.

Dataset Information

RAISING is a high-performance method for identifying random transgene integration sites.

Publications

RAISING is a high-performance method for identifying random transgene integration sites.

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