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Automated cell isolation from photodegradable hydrogel based on fluorescence image analysis.

Authors :
Sugiura, Shinji
Yamahira, Shinya
Tamura, Masato
Shin, Kazumi
Shibuta, Mayu
Satoh, Taku
Matsuzawa, Yui
Fujii, Gen
Yanagawa, Fumiki
Mutoh, Michihiro
Yanagisawa, Masumi
Kato, Ryuji
Matsui, Hirofumi
Source :
Biotechnology & Bioengineering; Jun2023, Vol. 120 Issue 6, p1492-1505, 14p
Publication Year :
2023

Abstract

We report an automated cell‐isolation system based on fluorescence image analysis of cell aggregates cultured in a photodegradable hydrogel. The system incorporates cell culture in a humidified atmosphere with controlled CO2 concentration and temperature, image acquisition and analysis, micropatterned light exposure, and cell collection by pipetting. Cell aggregates were cultured on hydrogels, and target cells were selected by phase contrast and fluorescence image analysis. After degradation of the hydrogel by exposure to micropatterned UV light, cell aggregates were transferred to a collection vessel by robotic pipetting. We assessed the system for hydrogel degradation, recovery of target cells, and contamination by off‐target cells. We demonstrated two practical applications of our method: (i) in cell aggregates from MCF‐7‐RFP strains in which 18.8% of cells produced red fluorescent protein (RFP), we successfully obtained 14 proliferative fluorescence‐positive cell aggregates from 31‐wells, and all of the isolated strains produced a higher proportion of RFP production than the original populations; (ii) after fluorescent immunostaining of human epidermal growth factor receptor 2 (HER2) in cancer cells, we successfully isolated HER2‐positive cells from a mixed population of HER2‐positive and ‐negative cells, and gene sequence analysis confirmed that the isolated cells mainly contained the target cells. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00063592
Volume :
120
Issue :
6
Database :
Complementary Index
Journal :
Biotechnology & Bioengineering
Publication Type :
Academic Journal
Accession number :
163705049
Full Text :
https://doi.org/10.1002/bit.28375