J 2019

Quantitative Assessment of Anti-Cancer Drug Efficacy From Coregistered Mass Spectrometry and Fluorescence Microscopy Images of Multicellular Tumor Spheroids

MICHÁLEK, Jan, Karel ŠTĚPKA, Michal KOZUBEK, Jarmila NAVRÁTILOVÁ, Barbora PAVLATOVSKÁ et. al.

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

20602 Medical laboratory technology ;

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.414

RIV identification code

RIV/00216224:14330/19:00110913

Organization unit

Faculty of Informatics

UT WoS

000502313700003

Keywords in English

confocal microscopy; image registration; MALDI MS; mass spectrometry imaging; peeling

Tags

International impact, Reviewed
Změněno: 15/1/2021 08:47, Mgr. Marie Šípková, DiS.

Abstract

V originále

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 project
Name: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging
LM2015062, research and development project
Name: Národní infrastruktura pro biologické a medicínské zobrazování
Investor: Ministry of Education, Youth and Sports of the CR
LQ1601, research and development project
Name: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
LTC17016, research and development project
Name: 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 MU
Name: Vývoj metod a instrumentace pro analýzu biologicky významných látek 2019
Investor: Masaryk University, Category A
MUNI/G/0974/2016, interní kód MU
Name: Optimalizace cílené terapie kolorektálního karcinomu ovlivňováním účinnosti penetrace a cytotoxicity regulátorů buněčných signalizací
Investor: Masaryk University, INTERDISCIPLINARY - Interdisciplinary research projects