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Shortening the biologics clinical timeline with a novel method for generating stable, high-producing cell pools and clones.
Hall, Chad A; Kravitz, Rachel H; Johnson, Karl F; Sanek, Nicholas A; Maiti, Payel; Ziemba, Keith R; Liu, Jia; Andreev, Dmitri O; Chrostowski, Victoria L; Collins, Ian J; Bleck, Gregory T.
  • Hall CA; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Kravitz RH; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Johnson KF; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Sanek NA; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Maiti P; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Ziemba KR; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Liu J; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Andreev DO; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Chrostowski VL; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Collins IJ; Catalent Pharma Solutions, Somerset, New Jersey, USA.
  • Bleck GT; Catalent Pharma Solutions, Somerset, New Jersey, USA.
Biotechnol Bioeng ; 2022 Dec 29.
Artículo en Inglés | MEDLINE | ID: covidwho-2172691
ABSTRACT
Reducing drug development timelines is an industry-wide goal to bring medicines to patients in need more quickly. This was exemplified in the coronavirus disease 2019 pandemic where reducing development timelines had a direct impact on the number of lives lost to the disease. The use of drug substances produced using cell pools, as opposed to clones, has the potential to shorten development timelines. Toward this goal, we have developed a novel technology, GPEx® Lightning, that allows for rapid, reproducible, targeted recombination of transgenes into more than 200 Dock sites in the Chinese hamster ovary cell line genome. This allows for rapid production of high-expressing stable cell pools and clones that reach titers of 4-12 g/l in generic fed-batch production. These pools and clones are highly stable in both titer and glycosylation, showing strong similarities in glycosylation profiles.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio pronóstico Idioma: Inglés Año: 2022 Tipo del documento: Artículo País de afiliación: Bit.28323

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio pronóstico Idioma: Inglés Año: 2022 Tipo del documento: Artículo País de afiliación: Bit.28323