Innovative Method for Fully Automated, Enzyme-Free Tissue Dissociation and Preparation for Single-Cell Analysis.

Purpose: Tissue dissociation is a critical but often overlooked step in single-cell analysis, impacting data quality, reproducibility, and biological insights. Conventional enzymatic and mechanical dissociation methods introduce variability, damage cells, and alter transcriptomic profiles, compromising downstream applications. While the initial innovation in electrical dissociation was published, this work introduces expanded characterization, including bulk RNA sequencing, diverse tissue types, and improved flow cytometry.

Methods: Here, we present a fully automated, enzyme-free method that integrates electric field-based dissociation with purification and centrifugation, providing a standardized, scalable alternative. A square wave oscillating electric field at 100 V/cm was used for dissociating tissue samples in 5 minutes or less.

Results: The system rapidly and gently dissociated glioblastoma spheroids and mouse spleen tissue, achieving a 10 × increase in live cell yield compared to automated enzymatic and mechanical dissociation (gentleMACS) and a 96 ± 2% single-cell recovery rate in glioblastoma spheroids. Transcriptomic analysis revealed minimal gene expression changes post-dissociation, with an R² value of 0.997 between conditions, indicating high consistency. Flow cytometry confirmed that key immune cell populations (B, T, NK cells) were preserved, with comparable distributions between manual and electrical dissociation.

Conclusions: By reducing operator variability, improving scalability, and maintaining cellular integrity, this technology offers a robust solution for high-throughput single-cell applications in diagnostics, drug discovery, and precision medicine.

Supplementary information: The online version contains supplementary material available at 10.1007/s12195-025-00850-5.