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Image-Based Detecti...
Image-Based Detection of Patient-Specific Drug-Induced Cell-Cycle Effects in Glioblastoma
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- Matuszewski, Damian J. (author)
- Uppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab
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- Wählby, Carolina, professor, 1974- (author)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Science for Life Laboratory, SciLifeLab,Avdelningen för visuell information och interaktion
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- Krona, Cecilia, 1976- (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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- Nelander, Sven (author)
- Uppsala universitet,Science for Life Laboratory, SciLifeLab,Neuroonkologi
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- Sintorn, Ida-Maria, 1976- (author)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion
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(creator_code:org_t)
- Elsevier BV, 2018
- 2018
- English.
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In: SLAS Discovery. - : Elsevier BV. - 2472-5560 .- 2472-5552. ; 23:10, s. 1030-1039
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https://journals.sag...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Image-based analysis is an increasingly important tool to characterize the effect of drugs in large-scale chemical screens. Herein, we present image and data analysis methods to investigate population cell-cycle dynamics in patient-derived brain tumor cells. Images of glioblastoma cells grown in multiwell plates were used to extract per-cell descriptors, including nuclear DNA content. We reduced the DNA content data from per-cell descriptors to per-well frequency distributions, which were used to identify compounds affecting cell-cycle phase distribution. We analyzed cells from 15 patient cases representing multiple subtypes of glioblastoma and searched for clusters of cell-cycle phase distributions characterizing similarities in response to 249 compounds at 11 doses. We show that this approach applied in a blind analysis with unlabeled substances identified drugs that are commonly used for treating solid tumors as well as other compounds that are well known for inducing cell-cycle arrest. Redistribution of nuclear DNA content signals is thus a robust metric of cell-cycle arrest in patient-derived glioblastoma cells.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Keyword
- Computerized Image Processing
- Datoriserad bildbehandling
Publication and Content Type
- ref (subject category)
- art (subject category)
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