LAUSR

Mammalian cells frequently encounter subtle perturbations during recombinant protein production. Identifying the genetic factors that govern the cellular stress response can facilitate targeted genetic engineering to obtain production cell lines that demonstrate a higher stress tolerance. To simulate nutrient stress, Chinese hamster ovary (CHO) cells were transferred into a glutamine(Q)‐free medium and transcriptional dynamics using thiol(SH)‐linked alkylation for the metabolic sequencing of RNA (SLAM‐seq) along with standard RNA‐seq of stressed and unstressed cells were investigated. The SLAM‐seq method allows differentiation between actively transcribed, nascent mRNA, and total (previously present) mRNA in the sample, adding an additional, time‐resolved layer to classic RNA‐sequencing. The cells tackle amino acid (AA) limitation by inducing the integrated stress response (ISR) signaling pathway, reflected in Atf4 overexpression in the early hours post Q deprivation, leading to subsequent activation of its targets, Asns, Atf3, Ddit3, Eif4ebp1, Gpt2, Herpud1, Slc7a1, Slc7a11, Slc38a2, Trib3, and Vegfa. The GCN2‐eIF2α‐ATF4 pathway is confirmed by a significant halt in transcription of translation‐related genes at 24 h post Q deprivation. The downregulation of lipid synthesis indicates the inhibition of the mTOR pathway, further confirmed by overexpression of Sesn2. Furthermore, SLAM‐seq detects short‐lived transcription factors, such as Egr1, that would have been missed in standard experimental designs with RNA‐seq. Our results describe the successful establishment of SLAM‐seq in CHO cells and therefore facilitate its future use in other scenarios where dynamic transcriptome profiling in CHO cells is essential.