Electric-field facilitated rapid and efficient dissociation of tissues Into viable single cells.

Autor: Welch EC; Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, 02912, USA., Yu H; Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, 02912, USA., Barabino G; Franklin W. Olin College of Engineering, Needham, MA, 02492, USA., Tapinos N; Department of Neurosurgery, Warren Alpert Medical School, Brown University, Providence, RI, 02912, USA., Tripathi A; Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, 02912, USA. anubhav_tripathi@brown.edu.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2022 Jun 24; Vol. 12 (1), pp. 10728. Date of Electronic Publication: 2022 Jun 24.
DOI: 10.1038/s41598-022-13068-6
Abstrakt: Single-Cell Analysis is a growing field that endeavors to obtain genetic profiles of individual cells. Disruption of cell-cell junctions and digestion of extracellular matrix in tissues requires tissue-specific mechanical and chemical dissociation protocols. Here, a new approach for dissociating tissues into constituent cells is described. Placing a tissue biopsy core within a liquid-filled cavity and applying an electric field between two parallel plate electrodes facilitates rapid dissociation of complex tissues into single cells. Different solution compositions, electric field strengths, and oscillation frequencies are investigated experimentally and with COMSOL Multiphysics. The method is compared with standard chemical and mechanical approaches for tissue dissociation. Treatment of tissue samples at 100 V/cm 1 kHz facilitated dissociation of 95 ± 4% of biopsy tissue sections in as little as 5 min, threefold faster than conventional chemical-mechanical techniques. The approach affords good dissociation of tissues into single cells while preserving cell viability, morphology, and cell cycle progression, suggesting utility for sample preparation of tissue specimens for direct Single-Cell Analysis.
(© 2022. The Author(s).)
Databáze: MEDLINE
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