Cell lines used in bioproduction are routinely engineered to improve their production efficiency. Numerous strategies, such as random mutagenesis, RNA interference screens, and transcriptome analyses have been employed to identify effective engineering targets. A genome-wide small interfering RNA screen previously identified the CASP8AP2 gene as a potential engineering target for improved expression of recombinant protein in the HEK293 cell line. Here, we validate the CASP8AP2 gene as an engineering target in HEK293 cells by knocking it out using CRISPR/Cas9 genome editing and assessing the effect of its knockout on recombinant protein expression, cell growth, cell viability, and overall gene expression. HEK293 cells lacking CASP8AP2 showed a seven-fold increase in specific expression of recombinant luciferase and a 2.5-fold increase in specific expression of recombinant SEAP, without significantly affecting cell growth and viability. Transcriptome analysis revealed that the deregulation of the cell cycle, specifically the upregulation of the cyclin-dependent kinase inhibitor 2A (CDKN2A) gene, contributed to the improvement in recombinant protein expression in CASP8AP2 deficient cells. The results validate the CASP8AP2 gene is a viable engineering target for improved recombinant protein expression in the HEK293 cell line. K E Y W O R D S caspase 8-associated protein 2, CRISPR/Cas9, cyclin-dependent kinase inhibitor 2A, recombinant protein, RNA-seq analysis 1 | INTRODUCTION Improved expression of recombinant proteins from mammalian cells is the desired goal being pursued through many different strategies. The main focus has been on optimizing growth and culture parameters (De Jesus & Wurm, 2011) and on modifying the properties of the producing cells (Fischer et al., 2015). The gene targets for cell modification are usually selected based on their known biological functions and the desired phenotypic outcome. For example, proapoptotic and antiapoptotic genes have been manipulated to extend the longevity of cultured cells (Baek et al., 2017; Cost et al., 2010); and genes involved in sugar transport have been manipulated to improve the metabolic efficiency of the producing cells (Inoue et al., 2010; Paredes et al., 1999). However, this approach is limited to genes with known function, whose altered expression may achieve the desired phenotype. In addition, genetic redundancy or other system-level robustness can nullify attempted modifications (Ekholm & Reed, 2000). As a result, novel approaches for identifying engineering targets are needed.