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Following transfection and pool generation, clone selection is critical, as individual clones often behave differently in stirred\u2010tank bioreactors.<\/jats:p>\n                  <jats:p>We propose a multivariate data analysis (MVDA) approach for clone selection that integrates productivity, growth, expression stability, and metabolism, with adaptable weighting based on process priorities. This method was applied to in\u2010house data from CHO clones producing omalizumab. From 24 candidates, eight stable, high\u2010performing clones were advanced for evaluation in 0.75\u20131 L bioreactors. MVDA revealed that including stability and metabolic parameters alters the ranking of lead clones compared with conventional screening.<\/jats:p>\n                  <jats:p>\n                    To assess scalability, cultures were run with or without air overlay to modulate dissolved CO\n                    <jats:sub>2<\/jats:sub>\n                    . Cultures without overlay reached up to 25% pCO\n                    <jats:sub>2<\/jats:sub>\n                    (190\u00a0mmHg) and unexpectedly showed improved performance: 1.69\u2010fold higher titer, 1.43\u2010fold greater cell\u2010specific productivity, 1.11\u2010fold higher peak cell density, extended viability, and sustained product accumulation over 17\u201321 days.\n                  <\/jats:p>\n                  <jats:p>\n                    By integrating statistical tools and a historical dataset, our MVDA method identified a robust lead clone performing consistently across CO\n                    <jats:sub>2<\/jats:sub>\n                    conditions, supporting its application in early upstream bioprocess development.\n                  <\/jats:p>","DOI":"10.1002\/biot.70206","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T21:19:47Z","timestamp":1773004787000},"source":"Crossref","is-referenced-by-count":0,"title":["CHO Cell Line 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