Automated cell isolation from photodegradable hydrogel based on fluorescence image analysis.
Shinji SugiuraShinya YamahiraMasato TamuraKazumi ShinMayu ShibutaTaku SatohYui MatsuzawaGen FujiiFumiki YanagawaMichihiro MutohMasumi YanagisawaRyuji KatoHirofumi MatsuiPublished in: Biotechnology and bioengineering (2023)
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 CO 2 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 ultraviolet 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. This article is protected by copyright. All rights reserved.
Keyphrases
- induced apoptosis
- single cell
- cell cycle arrest
- cell therapy
- drug delivery
- epidermal growth factor receptor
- endoplasmic reticulum stress
- endothelial cells
- escherichia coli
- magnetic resonance
- signaling pathway
- stem cells
- dna methylation
- machine learning
- deep learning
- gene expression
- risk assessment
- hyaluronic acid
- quantum dots
- cell proliferation
- computed tomography
- heavy metals
- contrast enhanced
- copy number
- amino acid