MICHÁLEK, Jan, Karel ŠTĚPKA, Michal KOZUBEK, Jarmila NAVRÁTILOVÁ, Barbora PAVLATOVSKÁ, Markéta MACHÁLKOVÁ, Jan PREISLER and Adam PRUŠKA. Quantitative Assessment of Anti-Cancer Drug Efficacy From Coregistered Mass Spectrometry and Fluorescence Microscopy Images of Multicellular Tumor Spheroids. Microscopy and Microanalysis. Cambridge University Press, 2019, vol. 25, No 6, p. 1311-1322. ISSN 1431-9276. Available from: https://dx.doi.org/10.1017/S1431927619014983.
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Basic information
Original name Quantitative Assessment of Anti-Cancer Drug Efficacy From Coregistered Mass Spectrometry and Fluorescence Microscopy Images of Multicellular Tumor Spheroids
Authors MICHÁLEK, Jan (203 Czech Republic, guarantor, belonging to the institution), Karel ŠTĚPKA (203 Czech Republic, belonging to the institution), Michal KOZUBEK (203 Czech Republic, belonging to the institution), Jarmila NAVRÁTILOVÁ (203 Czech Republic, belonging to the institution), Barbora PAVLATOVSKÁ (203 Czech Republic, belonging to the institution), Markéta MACHÁLKOVÁ (203 Czech Republic, belonging to the institution), Jan PREISLER (203 Czech Republic, belonging to the institution) and Adam PRUŠKA (203 Czech Republic, belonging to the institution).
Edition Microscopy and Microanalysis, Cambridge University Press, 2019, 1431-9276.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 20602 Medical laboratory technology ;
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.414
RIV identification code RIV/00216224:14330/19:00110913
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1017/S1431927619014983
UT WoS 000502313700003
Keywords in English confocal microscopy; image registration; MALDI MS; mass spectrometry imaging; peeling
Tags cbia-web, CF CELLIM
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 15/1/2021 08:47.
Abstract
Spheroids—three-dimensional aggregates of cells grown from a cancer cell line—represent a model of living tissue for chemotherapy inves- tigation. Distribution of chemotherapeutics in spheroid sections was determined using the matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI). Proliferating or apoptotic cells were immunohistochemically labeled and visualized by laser scanning confocal fluorescence microscopy (LSCM). Drug efficacy was evaluated by comparing coregistered MALDI MSI and LSCM data of drug- treated spheroids with LSCM only data of untreated control spheroids. We developed a fiducial-based workflow for coregistration of low- resolution MALDI MS with high-resolution LSCM images. To allow comparison of drug and cell distribution between the drug-treated and untreated spheroids of different shapes or diameters, we introduced a common diffusion-related coordinate, the distance from the spheroid boundary. In a procedure referred to as “peeling”, we correlated average drug distribution at a certain distance with the average reduction in the affected cells between the untreated and the treated spheroids. This novel approach makes it possible to differentiate between peripheral cells that died due to therapy and the innermost cells which died naturally. Two novel algorithms—for MALDI MS image denoising and for weighting of MALDI MSI and LSCM data by the presence of cell nuclei—are also presented.
Links
EF16_013/0001775, research and development projectName: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging
LM2015062, research and development projectName: Národní infrastruktura pro biologické a medicínské zobrazování
Investor: Ministry of Education, Youth and Sports of the CR
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
LTC17016, research and development projectName: Benchmarking algoritmů segmentace a sledování buněk
Investor: Ministry of Education, Youth and Sports of the CR, Benchmarking of algorithms for cell segmentation and tracking, INTER-COST
MUNI/A/1359/2018, interní kód MUName: Vývoj metod a instrumentace pro analýzu biologicky významných látek 2019
Investor: Masaryk University, Category A
MUNI/G/0974/2016, interní kód MUName: Optimalizace cílené terapie kolorektálního karcinomu ovlivňováním účinnosti penetrace a cytotoxicity regulátorů buněčných signalizací
Investor: Masaryk University, INTERDISCIPLINARY - Interdisciplinary research projects
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