Title
Increasing efficiency in cell line development through automated workflows
Conference Dates
May 6-11, 2018
Abstract
Automated workflows in clinical and commercial cell line development (CLD) increase efficiency, consistency and create flexible resourcing. We have leveraged our targeted integration host to develop a consistent CLD process, which is automatable. We had previously developed automated single-cell cloning (SCC) and hit-picking workflows based on plate imaging to produce clonally-derived cell lines. We have augmented the SCC workflow with the addition of single-cell deposition using the Cytena Single-Cell Printer (SCP). With the implementation of the SCP, we gained significant efficiencies when compared to limited dilution SCC by processing and imaging 10-times fewer plates and storing 10-times fewer images. We have also developed custom seed train automation, which can passage seed train cultures and set-up and sample fed-batch cultures in an unattended operation. We will discuss details on the SCP implementation as well as the automated CLD workflow from transfection, bulk selection, SCC, hit-picking, clone scale-up, seed train passage and fed-batch cultures. We believe that with a very limited staff, we can generate 50 – 200 cell lines per year with our automated CLD workflow.
Recommended Citation
David Shaw, Mandy Yim, Joni Tsukuda, Ali AlBarakat, and Daniel Tran, "Increasing efficiency in cell line development through automated workflows" in "Cell Culture Engineering XVI", A. Robinson, PhD, Tulane University R. Venkat, PhD, MedImmune E. Schaefer, ScD, J&J Janssen Eds, ECI Symposium Series, (2018). https://dc.engconfintl.org/ccexvi/93