Literature DB >> 26239238

Automatic 3D Cell Analysis in High-Throughput Microarray Using Micropillar and Microwell Chips.

Dong Woo Lee1, Moo-Yeal Lee2, Bosung Ku3, Do-Hyun Nam4.   

Abstract

Area-based and intensity-based 3D cell viability measurement methods are compared in high-throughput screening in order to analyze their effects on the assay results (doubling time and IC50) and their repeatability. Many other 3D cell-based high-throughput screening platforms had been previously introduced, but these had not clearly addressed the effects of the two methods on the assay results and assay repeatability. In this study, the optimal way to analyze 3D cultured cells is achieved by comparing day-to-day data of doubling times and IC50 values obtained from the two methods. In experiments, the U251 cell line is grown in chips. The doubling time, based on the area of the 3D cells, was 27.8 ± 1.8 h (standard deviation: 6.6%) and 27.8 ± 3.8 h (standard deviation: 13.7%) based on the intensity of the 3D cells. The doubling time calculated by area shows a smaller standard deviation than one calculated by intensity. IC50 values calculated by both methods are very similar. The standard deviations of IC50 values for the two methods were within ± 3-fold. The IC50 variations of the 12 compounds were similar regardless of the viability measurement methods and were highly related to the shape of the dose-response curves.
© 2015 Society for Laboratory Automation and Screening.

Keywords:  3D cell culture; assay miniaturization; cell encapsulation in alginate; high-throughput screening

Mesh:

Substances:

Year:  2015        PMID: 26239238     DOI: 10.1177/1087057115597635

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  3 in total

Review 1.  Screening applications in drug discovery based on microfluidic technology.

Authors:  P Eribol; A K Uguz; K O Ulgen
Journal:  Biomicrofluidics       Date:  2016-01-28       Impact factor: 2.800

2.  High-Dose Compound Heat Map for 3D-Cultured Glioblastoma Multiforme Cells in a Micropillar and Microwell Chip Platform.

Authors:  Dong Woo Lee; Sang-Yun Lee; Il Doh; Gyu Ha Ryu; Do-Hyun Nam
Journal:  Biomed Res Int       Date:  2017-10-18       Impact factor: 3.411

3.  Selective colony area method for heterogeneous patient-derived tumor cell lines in anti-cancer drug screening system.

Authors:  Jang Ho Cho; Ju-Sun Kim; Seung Tae Kim; Jung Yong Hong; Joon Oh Park; Young Suk Park; Do-Hyun Nam; Dong Woo Lee; Jeeyun Lee
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

  3 in total

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