Translatomics Study of Chinese Hamster Ovary Cell Cultures

Abstract

We report the first investigation of translational efficiency on a global scale, also known as translatome, of a CHO DG44 cell line producing monoclonal antibodies. The translatome data was generated via combined use of high-resolution and streamlined polysome profiling technology and microarrays probing for more than 13K annotated CHO-specific genes. The distribution of ribosome loading during the exponential growth phase revealed the translational activity corresponding to the maximal growth rate, thus allowing us to identify stably and highly translated genes as potential key players for cellular growth. Moreover, correlation analysis between transcriptome and translatome data sets suggested the implication of translational control mechanisms such as the mTOR pathway. Thus, the current translatome analysis platform enables researchers of the bioprocessing field to prioritize high-potential candidate genes and to devise optimal strategies for cell engineering towards improving culture performances.