Engineered extracellular vesicles expressing ICAM-1: A promising targeted delivery system for T cell modifications.

BACKGROUND: Extracellular vesicles (EVs) are natural nano-carriers that possess the required crucial features of an ideal biomolecular delivery system. However, using unmodified EVs may have some limitations such as low accumulation in target sites. Studies have established that engineering EVs against different cell surface markers can overcome most of these hurdles. METHODS: In this study, engineered EVs expressing ICAM-1/LAMP2b fusion protein on their surfaces were produced and isolated. The uptake of isolated targeted and non-targeted EVs was evaluated by imaging and flow cytometry. To assess the ability of targeted EVs to be applied as a safe carrier, pAAVS1-Puro-GFP plasmids were encapsulated into EVs by electroporation. RESULTS: The HEKT 293 cell line was successfully modified permanently by a lentiviral vector to express ICAM-1 on the surface of the derived EVs. The ELISA and western blot tests established the binding affinity of targeted EVs for recombinant LFA-1 with a remarkable difference from non-targeted EVs. Furthermore, flow cytometry results revealed noteworthy differences in the binding of LFA-1-positive, non-targeted EVs, and targeted EVs to LFA-1-negative cells. Finally, imaging and flow cytometry indicated that newly produced EVs could efficiently interact with T cells and functionally deliver loaded plasmids to them. CONCLUSION: These LFA-1-targeted EVs were able to interact with T cells as their recipient cells. They can be utilized as an ideal delivery system to transfer various biomolecules to T cells, facilitating immunotherapies or other cell-based treatments.

In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein-Protein Interactions.

Large contact surfaces of protein-protein interactions (PPIs) remain to be an ongoing issue in the discovery and design of small molecule modulators. Peptides are intrinsically capable of exploring larger surfaces, stable, and bioavailable, and therefore bear a high therapeutic value in the treatment of various diseases, including cancer, infectious diseases, and neurodegenerative diseases. Given these promising properties, a long way has been covered in the field of targeting PPIs via peptide design strategies. In silico tools have recently become an inevitable approach for the design and optimization of these interfering peptides. Various algorithms have been developed to scrutinize the PPI interfaces. Moreover, different databases and software tools have been created to predict the peptide structures and their interactions with target protein complexes. High-throughput screening of large peptide libraries against PPIs; "hotspot" identification; structure-based and off-structure approaches of peptide design; 3D peptide modeling; peptide optimization strategies like cyclization; and peptide binding energy evaluation are among the capabilities of in silico tools. In the present study, the most recent advances in the field of in silico approaches for the design of interfering peptides against PPIs will be reviewed. The future perspective of the field and its advantages and limitations will also be pinpointed.