Use of monoclonal antibodies is emerging as a highly promising and fast-developing scenario for innovative treatment of viral, autoimmune and tumour diseases. The search for diagnostic and therapeutic antibodies currently depends on in vitro screening approaches, such as phage and yeast display technologies. Antibody production still represents a critical step for preclinical and clinical evaluations. Accordingly, improving production of monoclonal antibodies represents an opportunity, to facilitate downstream target validations. SINEUP RNAs are long non-coding transcripts, possessing the ability to enhance translation of selected mRNAs. We applied SINEUP technology to semi-stable production of monoclonal antibodies in HEK293E cells, which allows for episomal propagation of the expression vectors encoding the heavy and light chains of IgGs. Co-expression of SINEUP RNA with mRNAs encoding heavy and light chains of IgG4s was able to increase the production of different anti-CLDN1 antibodies up to three-fold. Improved production of monoclonal antibodies was achieved both in transiently transfected HEK293E cells and in cellular clones with stable expression of the SINEUP. Compared to antibody preparations obtained under standard conditions, the anti-CLDN1 IgG4s produced in the presence of the SINEUP transcript showed unaltered post-translational modifications, and retained the ability to recognize their target. We thus propose SINEUP technology as a valuable tool to enhance semi-stable antibody production in human cell lines.

A long non-coding SINEUP RNA boosts semi-stable production of fully human monoclonal antibodies in HEK293E cells / Sasso, Emanuele; Latino, Debora; Froechlich, Guendalina; Succoio, Mariangela; Passariello, Margherita; De Lorenzo, Claudia; Nicosia, Alfredo; Zambrano, Nicola. - In: MABS. - ISSN 1942-0862. - 10:5(2018), pp. 730-737. [10.1080/19420862.2018.1463945]

A long non-coding SINEUP RNA boosts semi-stable production of fully human monoclonal antibodies in HEK293E cells

Sasso, Emanuele;Froechlich, Guendalina;Succoio, Mariangela;Passariello, Margherita;De Lorenzo, Claudia;Nicosia, Alfredo;Zambrano, Nicola
2018

Abstract

Use of monoclonal antibodies is emerging as a highly promising and fast-developing scenario for innovative treatment of viral, autoimmune and tumour diseases. The search for diagnostic and therapeutic antibodies currently depends on in vitro screening approaches, such as phage and yeast display technologies. Antibody production still represents a critical step for preclinical and clinical evaluations. Accordingly, improving production of monoclonal antibodies represents an opportunity, to facilitate downstream target validations. SINEUP RNAs are long non-coding transcripts, possessing the ability to enhance translation of selected mRNAs. We applied SINEUP technology to semi-stable production of monoclonal antibodies in HEK293E cells, which allows for episomal propagation of the expression vectors encoding the heavy and light chains of IgGs. Co-expression of SINEUP RNA with mRNAs encoding heavy and light chains of IgG4s was able to increase the production of different anti-CLDN1 antibodies up to three-fold. Improved production of monoclonal antibodies was achieved both in transiently transfected HEK293E cells and in cellular clones with stable expression of the SINEUP. Compared to antibody preparations obtained under standard conditions, the anti-CLDN1 IgG4s produced in the presence of the SINEUP transcript showed unaltered post-translational modifications, and retained the ability to recognize their target. We thus propose SINEUP technology as a valuable tool to enhance semi-stable antibody production in human cell lines.
2018
A long non-coding SINEUP RNA boosts semi-stable production of fully human monoclonal antibodies in HEK293E cells / Sasso, Emanuele; Latino, Debora; Froechlich, Guendalina; Succoio, Mariangela; Passariello, Margherita; De Lorenzo, Claudia; Nicosia, Alfredo; Zambrano, Nicola. - In: MABS. - ISSN 1942-0862. - 10:5(2018), pp. 730-737. [10.1080/19420862.2018.1463945]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/738211
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