Bispecific T- Cell Engager (BiTE) Screening, Automated Pipeline

This case study explores a streamlined approach to bispecific T cell engager (BiTE) discovery using an automated, mammalian cell–based screening pipeline. By leveraging precise single‑locus genomic integration, researchers generated a stable HEK293 cell library containing tens of thousands of BiTE variants, enabling consistent expression and reliable functional comparison. Approximately 1.5 million BiTE‑expressing cells were screened in a single round, dramatically reducing timelines while maintaining biological relevance compared to traditional bacterial or yeast systems. The approach supported high‑throughput evaluation of immune cell activation, allowing rapid identification of novel binders with efficacy comparable to approved oncology therapies. Designed for compatibility with automation, this strategy demonstrates how controlled expression, scalability, and human cell context can significantly de‑risk early discovery and accelerate progression toward therapeutic candidates. The results highlight a robust path forward for efficient BiTE screening without sacrificing data quality or translational relevance.