Developability engineering of scFvs enables robust CAR function under transient mRNA expression
Year: 2026
Type: article
Abstract: Lipid nanoparticle delivery of mRNA enables in vivo generation of CAR-T cells while avoiding viral vector manufacturing constraints. However, transient expression places stringent requirements on the developability of CAR components, particularly single-chain variable fragments (scFvs). Here we examine how intrinsic scFv biophysical quality governs CAR expression and function under mRNA delivery. Using a humanisation and optimisation workflow guided by computational developability metrics, we engineered scFv variants from three clinically relevant antibody families (FMC63, 14G2a and MGA271/chBRCA84D) spanning a range of baseline stability and aggregation propensity. Optimised variants showed increased humanness and, in most cases, improved thermal stability and reduced non-specific interactions while broadly preserving antigen recognition. Functional testing in primary human T cells following mRNA-LNP delivery revealed strong dependence on starting binder quality: optimisation produced minimal functional change for the stable, predominantly monomeric FMC63 scFv, whereas stabilisation of the aggregation-prone 14G2a scFv markedly increased CAR surface expression and cytotoxic activity. For MGA271-derived binders, optimisation reduced non-specific interactions and off-target killing despite reduced monovalent affinity. Together, these data establish developability engineering of scFvs as a critical enabling step for transient mRNA-encoded CAR therapies.
Source: Scientific Reports
Authors: Maurizio Mangolini, Aubin Ramon, Bingqian Li, Emily Souster, Jasvinder Hayre, Rajesh Karattil, Pietro Sormanni, Shimobi Onuoha
Institutions: University of Cambridge, Imperial College London
Language: English
Topic: CAR-T cell therapy research
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
Funder: UK Research and Innovation
Award: G8764629409
OpenAlex ID: W7169671968
