Optimization of in vitro model for analysis of tumor cell migration dynamics

Migration ability is an important feature of tumor cells. There are several approaches to analyze the dynamics of cancer cell migration in vitro. One of the most perspective and closer to the in vivo conditions is the model of initiation of the cell migration from 3D multicellular spheroids onto gro...

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Published in:Вiopolymers and Cell
Date:2018
Main Authors: Kravchenko, A.O., Kosach, V.R., Shkarina, K.A., Zaiets, I.V., Tykhonkova, I.O., Khoruzhenko, A.I.
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Language:English
Published: Інститут молекулярної біології і генетики НАН України 2018
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Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/154376
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Optimization of in vitro model for analysis of tumor cell migration dynamics / A.O. Kravchenko, V.R. Kosach, K.A. Shkarina, I.V. Zaiets, I.O. Tykhonkova, A.I. Khoruzhenko // Вiopolymers and Cell. — 2018. — Т. 34, № 6. — С. 476-486. — Бібліогр.: 20 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Kravchenko, A.O.
Kosach, V.R.
Shkarina, K.A.
Zaiets, I.V.
Tykhonkova, I.O.
Khoruzhenko, A.I.
author_facet Kravchenko, A.O.
Kosach, V.R.
Shkarina, K.A.
Zaiets, I.V.
Tykhonkova, I.O.
Khoruzhenko, A.I.
citation_txt Optimization of in vitro model for analysis of tumor cell migration dynamics / A.O. Kravchenko, V.R. Kosach, K.A. Shkarina, I.V. Zaiets, I.O. Tykhonkova, A.I. Khoruzhenko // Вiopolymers and Cell. — 2018. — Т. 34, № 6. — С. 476-486. — Бібліогр.: 20 назв. — англ.
collection DSpace DC
container_title Вiopolymers and Cell
description Migration ability is an important feature of tumor cells. There are several approaches to analyze the dynamics of cancer cell migration in vitro. One of the most perspective and closer to the in vivo conditions is the model of initiation of the cell migration from 3D multicellular spheroids onto growth surface. Aim. Optimization of the model for adequate quantitative characteristics of the tumor cell locomotion during several days. Methods. 2D and 3D MCF-7 cell culture, immunofluorescence analysis, and image analysis using computer software Fiji. Results. Unification of spheroid size allowed avoiding a significant data deviation. The obtained spheroids spread completely for 3 days. The highest migration ratio was observed at the 2nd day. The proliferation level at each of 3-day experiment was the same and did not exceed 3%. The validity of the model was tested after migration inhibition by rapamycin (mTOR signaling inhibitor). Additionally, this model was successfully applied to immunofluorescence analysis, namely investigation of p85S6K1 subcellular localization in moving MCF-7 cells. Conclusions. Double filtration of multicellular spheroids allowed unification of their size, which promotes an adequate interpretation of the migration assay. This model enabled the study of tumor cells migration dynamics and can be further used for the development of anticancer drug. Міграційна здатність є важливою ознакою пухлинних клітин. Існує кілька підходів до аналізу динаміки міграції ракових клітин in vitro. Однією з найбільш перспективних і близьких до умов in vivo є модель ініціювання міграції клітин з тривимірного багатоклітинного сфероїда на ростову поверхню. Мета. Оптимізація моделі для адекватної кількісної оцінки міграції пухлинних клітин. Методи. 2- та 3-вимірна культура клітин лінії MCF-7, імунофлюоресцентний аналіз, аналіз зображень з використанням комп'ютерної програми Фіджі. Результати. Уніфікація розміру сфероїдів дозволила уникнути значного розкиду даних. Отримані сфероїди повністю розпластувались протягом 3 днів. Найвищий показник міграції спостерігався на 2-гу добу розпластування сфероїда. Рівень проліферації клітин за кожну добу 3-денного експерименту був майже однаковим і не перевищував 3%. Валідність моделі була протестована після пригнічення міграційної активності клітин під впливом рапаміцину (інгібітор сигналізації mTOR). Крім того, запропонована модель була успішно застосована для дослідження субклітинної локалізації p85S6K1 в мігруючих клітинах лінії MCF-7 за допомогою імунофлюоресцентного аналізу. Висновки. Подвійне фільтрування багатоклітинних сфероїдів дозволяє уніфікувати їх розміри, що в подальшому сприяє адекватній оцінці міграційного потенціалу клітин. Запропонована модель дозволяє вивчати динаміку міграційних процесів пухлинних клітин і може бути використана для тестування протипухлинних препаратів in vitro. Миграционная способность является важной особенностью опухолевых клеток. Существует несколько подходов для анализа динамики миграции раковых клеток in vitro. Одной из наиболее перспективных и приближенных к условиям in vivo является модель инициации миграции клеток из трехмерных многоклеточных сфероидов на поверхность роста. Цель. Оптимизация модели для адекватных количественных характеристик локомоции опухолевых клеток в течение нескольких дней. Методы. 2D и 3D MCF-7 клеточная культура, иммунофлуоресцентный анализ и анализ изображений с использованием компьютерного программного обеспечения Фиджи. Результаты. Унификация размеров сфероидов позволила избежать значительного отклонения данных. Полученные сфероиды распространились полностью за 3 дня. Самый высокий коэффициент миграции наблюдался на 2-й день. Уровень пролиферации в каждом из 3-дневных экспериментов был одинаковым и не превышал 3%. Достоверность модели была проверена после ингибирования миграции рапамицином (ингибитор передачи сигналов mTOR). Кроме того, эта модель была успешно применена для иммунофлуоресцентного анализа, а именно для исследования субклеточной локализации p85S6K1 в движущихся клетках MCF-7. Выводы. Двойная фильтрация многоклеточных сфероидов позволила унифицировать их размер, что способствует адекватной интерпретации анализа миграции. Эта модель позволила изучить динамику миграции опухолевых клеток и может быть в дальнейшем использована для разработки противоопухолевого препарата.
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fulltext 477 A. O. Kravchenko, V. R. Kosach, K. A. Shkarina © 2018 A. O. Kravchenko et al.; Published by the Institute of Molecular Biology and Genetics, NAS of Ukraine on behalf of Biopolymers and Cell. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited UDC 576 + 577 Optimization of in vitro model for analysis of tumor cell migration dynamics A. O. Kravchenko1,2, V. R. Kosach1, K. A. Shkarina1, I. V. Zaiets1,2, I. O. Tykhonkova1, A. I. Khoruzhenko1 1 Institute of Molecular Biology and Genetics, NAS of Ukraine 150, Akademika Zabolotnoho Str., Kyiv, Ukraine, 03143 2 ESC "Institute of Biology and Medicine", Taras Shevchenko National University of Kyiv 64/13, Volodymyrska Str., Kyiv, Ukraine, 01601 a.i.khoruzhenko@imbg.org.ua Migration capacity is an important feature of tumor cells. There are several approaches to analyze the dynamics of cancer cell migration in vitro. The model of initiation of cell migration from 3D multicellular spheroids onto growth surface is one of the closest to the in vivo condi- tions. Aim. Optimization of the model to study tumor cell mobility for several days. Methods. 2D and 3D MCF-7 cell culture, immunofluorescence analysis and image analysis using the Fiji computer software. Results. Unification of spheroid size allowed avoiding a significant data deviation. The obtained spheroids spread completely for three days. The highest migration ratio was observed on the second day. The proliferation level was similar during each day of the three-day experiment; it did not exceed 3 %. The validity of the model was tested after migration inhibition by a mTOR signaling inhibitor rapamycin. Additionally, this model was successfully applied to immunofluorescence study of p85S6K1 subcellular localization in moving MCF-7 cells. Conclusions. Double filtration of multicellular spheroids allowed uni- fication of their size; this promotes an adequate interpretation of the migration assay. This model allows to study tumor cell migration dynamics and can be further used for development of anticancer drugs. K e y w o r d s: Cancer cell migration assay, 2D and 3D culture, p85S6K1, multicellular spheroids Introduction The ability of malignant tumors to form metas- tases is a critical step of the cancer progression and distinguishes malignant tumor cells from benign or normal ones [1].This feature of tumor cells is determined by their ability to migrate and penetrate surrounding tissues. Often the metastases but not primary tumors lead to the death of organism. That is why the processes of cancer cell migration and invasion are the most important targets of the anti-cancer basic Methods ISSN 1993-6842 (on-line); ISSN 0233-7657 (print) Biopolymers and Cell. 2018. Vol. 34. N 6. P 477–486 doi: http://dx.doi.org/10.7124/bc.000992 mailto:a.i.khoruzhenko@imbg.org.ua 478 A. O. Kravchenko, V. R. Kosach, K. A. Shkarina et al. research and drug development. In normal adult mammalian organism, only immune and pla- centa cells are able to invade corresponding tissues. However, an ability to migrate is not limited to these cell types. There are also many other cell populations that migrate to their final niche in the course of embryogenesis and post- embryonic development, including the develop- ment of cardiovascular system, central nervous system, and many others [2–6]. Nowadays, there are several approaches to evaluate the cell migration and locomotor properties in vitro. The most widely employed methods are the transwell migration and inva- sion assay, the “wound healing” assay and the initiation of cell migration from multicellular spheroids or tissue explants into matrigel or onto growth surface. Each of them has the advantages and disadvantages which leads to the need of their improvement. The first mentioned method is the transwell migration and invasion assays. The basis of this method is the initiation of directed cell movement through the pores of the transwell membrane toward the chemoattractant. This approach is widely used in cancer research and especially for test of antitumor properties of corresponding drugs or their combination [1]. However, this approach has several disadvan- tages, in particular time restrictions, which limits the duration of the study to 24–48 hours; relatively high costs, and the need of selecting the optimal conditions for each particular cell type and the type of attractant used. Another widely applied method is the wound healing assay. This method is based on estimation of closure dynamics of the artificially formed free space in the confluent cell monolayer. Alike previous case, the main disadvantage of this method is limitation of experiment duration, usually up to 24 hours to exclude the effect of cell proliferation in freed space. The third experimental strategy of migration estimation is based on the transformation of 3D multicel- lular spheroid into 2D cellular monolayer colony. This method provides several advan- tages over above-mentioned approaches; the main of them is that 3D culture of cancer cells more closely reflects in vivo conditions [7]. Besides, it also enables easy detection of many of biochemical and morphological properties of moving cells. Depending on the studied cell type, this model provides an opportunity to characterize either collective or single-cell migration. However, there are also several known limitations to this model application. The major difficulty is significant variation of spheroid sizes. It, in turn, complicates the comparison of cell migration kinetics between spheroids with initially different size. Therefore, there is a strong need for further unification of the multicellular spheroid size. There are several approaches to obtain the spheroids of similar sizes including handling drop method or application of special multi- well plates, etc., but they require preliminary preparation and are relatively expensive. From our point of view the double filtration of spher- oid suspension through nylon mesh filters could provide strong unification of spheroid size. Another issue which should be regarded is the input of proliferation in the value of dis- tance or surfaces covered by the cells in migra- tion tests. To compare the dynamics of cell migration at regular terms, it is necessary to ensure that the level of proliferation for the same time period was also similar. 479 Optimization of in vitro model for analysis of tumor cell migration dynamics To test the proposed approach, the inhibi- tion of cell locomotion was applied. The cell migration is strongly affected by a variety of growth factors, hormones, cytokines and other chemical cues, which induce the activation of several signaling pathways with- in migrating cell. The PI3K/mTOR/S6K cas- cade has been previously described as an im- portant regulator of mammalian cell migration [8]. In normal tissue this pathway is involved in the control of many intracellular events, including protein synthesis regulation, the G1/S phase cell cycle transition and many oth- ers [9, 10]. mTOR/S6K signaling over activa- tion and over expression has been observed in many diseases including cancer, diabetes, and other [11–13]. There are some significant dif- ferences in PI3K/mTOR/S6K signaling in 3D vs. a 2D cell culture system [14]. Earlier, we confirmed that rapamycin, an inhibitor of mTOR signaling, decreased the MCF-7 cell locomotion in scratch test. So, it was used in this study for validation of optimized locomo- tion assay [15]. Additionally, the model of outspreading spheroids can be applied for immunochemical assay. Earlier we revealed the subcellular re- localization of p70S6K1 from the cytoplasm into the nuclei of MCF-7 cells in course of migration from spheroid onto growth surface by immunofluorescent analysis [16]. One of the explanations of the kinase relocalization was its association with the transcription factor TBR2, expressed in actively migrating cells like embryonic, cancer cells and lymphocytes. Kinase of ribosomal protein S6 (S6K1) is one of the key links of the mTOR signaling path- way. S6K1 has several known isoforms: p85(S6K1), the most highly expressed isoform p70(S6K1), and additionally less studied iso- forms p60(S6K1) and p31(S6K1). Both p85(S6K1) and p70(S6K1) isoforms have been previously shown to be regulated through phosphorylation by the mTOR/S6K, PI3K/Akt signaling pathway [9]. Initially p85S6K1 was regarded as a nuclear isoform of S6K1, more- over it contained the signal of nuclear localiza- tion at N-terminus of molecule. But later it was observed in cytoplasm as well. p70S6K1 and p85S6K1 have both common and different effectors and targets. To compare their subcel- lular distribution in migrating cells, immuno- fluorescent revealing of p85S6K1 in outspread- ing spheroids of MCF-7 cells was performed. So, the aim of this study was to improve the method of initiation of cell migration from the 3D multicellular spheroids cells onto the growth surface. Namely, the MCF-7 cell spher- oid size unification was performed by double filtration through nylon mesh filters with pore diameter 30 and 100 mm; the index of MCF-7 cell proliferation at the 1st, 2nd, and 3rd days in outspreaded spheroids was estimated; the validity of quantitative migration assay was tested using migration inhibition; availability of the model for immunofluorescent analysis was confirmed by corresponding assay of the p85S6K1 relocalization in course of cell mi- gration.The proposed approach could be useful for basic cancer research and anticancer drug development, as well as for other assay of the cell locomotion dynamics. Materials and Methods Cell culture.MCF-7 cell line derived from metastatic site of malignant breast tumor was used in this study [17]. MCF-7 cells were cultured in Dulbecco’s Modified Eagle’s me- 480 A. O. Kravchenko, V. R. Kosach, K. A. Shkarina et al. dium (DMEM) (Sigma, USA) supplemented with 10 % fetal bovine serum (FBS, CellSera, Australia), 4 mM glutamine (Sigma, USA), 50 U / ml penicillin and 50 g / ml streptomycin (Sigma, USA) at 37 ° C in a 5 % CO2 hu- midified incubator. Generation of spheroids. For multicellular spheroids generation, confluent monolayer of MCF-7 cells was detached with 0.25 % tryp- sin, 0.02 % EDTA in Hank′s Balanced Salt Solution (Sigma, USA) to generate single cell suspension, which was transferred into the 10-centimeter Petri dishes coated with 1 % agarose (Serva, Heidelberg, Germany). Cells were further cultivated for three days. The resulting suspension of spheroids of different size was subjected to the two-step filtration. First, spheroids were passed through a sterile nylon mesh (Spectrum, USA) with a pore di- ameter of 100 μm to remove large cell aggre- gates. The second step of the filtration was carried using sterile filter mesh (Spectrum, USA) with a pore diameter of 30μm for single cell elimination. The transformation of spheroids in a mono- layer cell colony. The obtained spheroids of uniform size were transferred into the 6-well plates with a fresh complete medium. The migration and proliferation processes were analyzed at 0, 24, 48 and 72 hours post filtra- tion. The images were acquired using bright field and phase contrast microscopy (CETI Versus inverted microscope, CETI, Belgium, and Leica DM 1000, Leica Microsystems, Germany, Magnification 25x, 100x). Only the colonies of round shape were selected for fur- ther analysis. A colony area was determined using Fiji software, and an approximate colo- ny radius was calculated using formula: r=√S/π. The migration activity was expressed as a difference of colonies radii at correspond- ing time points. To alter the cell migration dynamics the treatment of MCF-7 multicel- lular spheroids with 10 nM rapamycin (Calbiochem biochemicals, Los Angeles, USA) was applied and then the cell locomotion was estimated. Proliferation activity analysis. The number of mitotic cells was calculated at 24, 48 and 72 hours of spheroid outspreading. The im- ages of spheroids were taken at indicated time points, and then the number of proliferating cells of corresponding morphology was calcu- lated. Besides, cultured on cover glasses colo- nies were fixed with 10 % formaldehyde solu- tion (Thermo Scientific, USA) for 15 minutes and afterwards stained with 2 % Hoechst 33342 (Molecular Probes, USA) in the dark for 25 minutes. Samples were mounted on slides into Mowiol mounting medium (Sigma- Aldrich, St. Louis, USA) containing 2.5 % DABCO (Sigma-Aldrich, St. Louis, USA), and amount of mitotic cells were calculated using fluorescent microscopy by morphological fea- tures. Index of proliferation was calculated as the per cent of mitotic cells in the population of spreading spheroid. Immunofluorescence analysis. Cultured on cover glasses colonies at 0, 24, 48 and 72 hours were fixed with 10 % formaldehyde solution for 15 minutes, as described previously. For membrane permeabilization, the cells were treated with a 0.2 % Triton X-100 in PBS solu- tion and afterwards incubated for 30 min at room temperature in 10 mM cupric sulphate and 50 mM ammonium acetate (pH 5.0) to reduce autofluorescence. Non-specific antibody binding was blocked with 10 % FCS in PBS for 481 Optimization of in vitro model for analysis of tumor cell migration dynamics 30 min at 37 °C. Anti-p85(S6K1) rabbit poly- clonal antibodies were applied in dilution 1:100 overnight at 4 °C [18]. Secondary FITC conju- gated anti-rabbit antibodies (Jackson Immuno Research Laboratories, Pennsylvania, USA) were applied in dilution 1:400 for 1h at 37 °C in humidified chamber. Samples were mounted into the Mowiol medium (Sigma-Aldrich, St. Louis, USA) containing 2.5 % DABCO (Sigma- Aldrich, St. Louis, USA). Fluorescent micros- copy was performed using Leica DM 1000 fluorescent microscope (Leica Micro systems, Wetzlar, Germany, Canon PowerShots70, Magnification 100x, 400x). Statistical analysis. All image analysis was performed using the Fiji software [19]. Data analysis was performed using Origin 9. All data are expressed as median +/- SD. Each experiment was repeated at least three times. Results and Discussion Unification of spheroid size. One of the main drawbacks of the spheroid to monolayer tran- sition model is the significant size variation of multicellular spheroids generated by the stan- dard liquid overlay method (Fig. 1a). To over- come this obstacle, an additional step of dou- ble filtration of generated spheroids suspension was applied. It enabled to unify the size of the colonies used for subsequent analysis, and, so, to perform proliferation and migration mea- surements more accurately and rapidly (Fig. 1b). At the first step of method optimization the filtration of spheroid suspension through the nylon mesh with a pore diameter of 100 μm was applied to eliminate large cell clusters in the resulting culture. Subsequent purification from small cell aggregates and single cells was performed using a 30-μm pore diameter nylon mesh. For further analysis of purified colonies, the value of median of spheroid size was de- termined using image analysis. Average of diameter median of MCF-7 cells spheroids in 5 experiments was 47.65 μm with standard deviation ±21.79μm. It confirmed that filtration A B Fig. 1. A — Suspension of MCF-7 multicellular spheroids before filtration. Black arrows and circles indicate spher- oids of different size. Oc.10x, ob. 10x. B — Suspension of MCF-7 multicellular spheroids after double filtration. Blue arrows indicate spheroids of similar size. Oc.10x, ob. 2,5x. 482 A. O. Kravchenko, V. R. Kosach, K. A. Shkarina et al. was successful and the population of spheroids of uniform size was generated. Determination of proliferation activity. Another major technical issue in multi-day migration assays is the proliferation of studied cells. Since proliferation has been shown to affect other migration assays, it was important to compare the proliferation activity of cells in our model on the 1st, 2nd and 3rd days of spheroid spreading. To analyze this parameter in the proposed system, the cell proliferation index after consecutive time periods was esti- mated .We used two different approaches. In the first case, the number of mitotic cells was calculated directly in course of spheroid spreading using transmitted light microscopy. The mitotic cells in monolayer condition ac- quire morphology distinct from the interphase cells. Such cells become round, they exhibit condensed chromatin, the morphology of which reflects the corresponding stage of mi- tosis (Fig 2). The per cent of such cells was determined in each outspreading spheroid. In the second case, the number of prolifer- ating cells was detected at mentioned time points using Hoechst 33342 staining and fluo- rescent microscopy (Fig.3). The proliferation index was expressed as the percentage of dividing cells in each colony analyzed. We detected that the level of cell proliferation after 24, 48, and 72 hours of migra- tion assay did not exceed 3 %. In particular, we obtained the values for 24 hours of 2.54 %, for 48 — 2.6 %, for 72 — 2.94 %. This indicates a similar effect of proliferative activity on the spreading dynamics of the MCF-7 spheroids at every time point, allowing us to neglect a po- tential proliferation influence at comparison of migration dynamics at neighboring time points. Migration assay. In order to determine the distance that cells passed during migration process, the radii of outspreading spheroids were measured after 0, 24, 48, and 72 h of cultivation. The difference between the radii values at neighboring time points was further regarded as the length of the cell migration track. From our point of view, the comparison of linear parameters in migration assay is more adequate than of squares since it is more valid characteristic of the directed movement. For this aim, the area of each spheroid was quantified using Fiji software at all abovemen- tioned time points, and radius was calculated as described in Materials and Methods section. We observed that a migration rate reached the maximum at 48 hours post-filtration and de- creased after 72 hours, which morphologi- cally corresponded to the complete spreading Fig. 2. Determination of mitotic cells in outspreading MCF-7 cell spheroids at the 2nd day of migration initia- tion. Arrows point out metaphase plates. Transmitted light microscopy. Oc.10., ob.20x. 483 Optimization of in vitro model for analysis of tumor cell migration dynamics of spheroids (Fig. 4, Fig. 5). Thus, the median of migration distance after 24 hours was 7.64 mm, after 48 hours the cells passed an- other 8.24 mm and after 72 hours another 6.8 mm. For further validation of the proposed mod- el, the analysis of locomotor properties of MCF-7 cells under effect of Rapamycin (mTOR inhibitor) was applied. Rapamycin and its derivatives are the most well-known in- hibitors of mTOR and are currently undergoing clinical trials as novel anticancer agents. These compounds have been shown to inhibit the activity of mTOR complexes and significantly decrease tumor cell motility in vitro [20]. Therefore, we analyzed whether rapamycin would affect the MCF-7 cell migration from spheroids onto the growth surface. Noteworthy, the effect of rapamycin on the rate of cell mi- gration during the first day was minimal and cells overcame 8.13 mm, whereas on the sec- ond and third days of the experiment, a sig- nificant decrease in the cell migration rate was observed, 3.65 mm and 1.94 mm respectively (Fig. 4). It could be potentially attributed to the inhibition of mTORC2 complex involved in the cytoskeleton regulation [19]. So, this result confirmed the suitability of the proposed model for the assessment of cell migration and its inhibition. Immunofluorescence analysis The presented model allowed applying an im- munofluorescence analysis of intracellular lo- calization of variety antigens in the migrating A B C Fig. 4. Cultured multicellular spheroids of MCF-7 cells after 24 (a), 48 (b) and 72 (c) hours of spreading. Transmitted microscopy. Oc.10x, ob.2,5x. Fig. 3. Detection of mitotic cells in MCF-7 outspreaded spheroid at the 2nd day of experiment. DNA counter- stained with Hoechst 33342. Arrows point out proliferat- ing cells. Oc.10x, ob.10x. 484 A. O. Kravchenko, V. R. Kosach, K. A. Shkarina et al. cells of outspreading spheroids. Earlier we revealed the subcellular relocalization of S6K1 from the cytoplasm into the nuclei of MCF-7 cells after initiation of migration [16]. The presented model was used to determine the distribution of one of S6K1 isoforms namely p85S6K1 in the migrating MCF-7 cells. In 3D conditions MCF-7 cells demonstrated pre- dominantly cytoplasm localization of p85S6K1 (Fig. 6a, white arrows). After initiation of cell migration a bright positive reaction in the nu- clei (primarily on the leading edge) appeared for p85S6K1 (Fig. 6a, green arrows). Note- worthy, in 2D monolayer conditions the nuclei of MCF-7 cells were strongly positive for p85S6K1 (Fig. 6b). The obtained results could suggest the important role of p85S6K1 real- izing in the nuclei for cell spreading and mi- gration. Besides, the applied model allowed registration of the change of subcellular dis- tribution of the intracellular protein in migra- ting cell. Proposed optimisation of cell migration model namely spheroid size unification and estimation of proliferation activity allow to apply this model for detection of locomotor properties of the breast cancer MCF-7 cells during 3 days. Besides, the model is useful for investigation of the subcellular localiza- tion of proteins involved in the regulation of cell locomotion. This approach will be help- ful for anticancer drug test as well as for study of the basic mechanisms of tumor pro- gression. Fig. 5. Dynamics of MCF-7 cell mi- gration from 3D spheroid onto the growth surface at 0, 24, 48, 72 hours post-filtration in standard cell culture conditions (blue line) or under the Rapamycin treatment (10 nM) (red line). A B Fig. 6. Immunofluorescence detec- tion of p85S6K1subcellular distribu- tion in MCF-7 cell outspreading spheroid, a — Oc.10x, ob. 10x, and b–in monolayer culture, oc.10x, ob. 40x.White arrows pointed out nega- tive nuclear reaction, green arrows pointed out positive nuclear reaction. 485 Optimization of in vitro model for analysis of tumor cell migration dynamics REFERENCES 1. Justus CR, Leffler N, Ruiz-Echevarria M, Yang LV. In vitro cell migration and invasion assays. J Vis Exp. 2014;(88). 2. Aasen TB, Schreiner A. In vitro locomotion of blood monocytes in millipore filters--evaluation of the leading front method. Acta Pathol Microbiol Immunol Scand C. 1986;94(1):45–9. 3. Aase K, Ernkvist M, Ebarasi L, Jakobsson L, Majumdar A, Yi C, Birot O, Ming Y, Kvanta A, Edholm D, Aspenström P, Kissil J, Claesson- Welsh L, Shimono A, Holmgren L. Angiomotin regulates endothelial cell migration during embryonic angiogenesis. Genes Dev. 2007;21(16): 2055–68. 4. Aarum J, Sandberg K, Haeberlein SL, Persson MA. Migration and differentiation of neural precursor cells can be directed by microglia. Proc Natl Acad Sci U S A. 2003;100(26):15983–8. 5. A Soliman N, Abd-Allah SH, Hussein S, Alaa Eldeen M. Factors enhancing the migration and the homing of mesenchymal stem cells in experimentally induced cardiotoxicity in rats. IUBMB Life. 2017;69(3):162–169. 6. Aaberg-Jessen C, Nørregaard A, Christensen K, Pedersen CB, Andersen C, Kristensen BW. Invasion of primary glioma- and cell line-derived spheroids implanted into corticostriatal slice cultures. Int J Clin Exp Pathol. 2013;6(4):546-60. PubMed Central PMCID: PMC3606845. 7. Khoruzhenko AI. 2D- and 3D-culture of cell. Biopolym Cell. 2011;27(1):17–24. 8. Tavares MR, Pavan IC, Amaral CL, Meneguello L, Luchessi AD, Simabuco FM. The S6K protein family in health and disease. Life Sci. 2015;131:1–10. 9. Rosner M, Hengstschläger M. Nucleocytoplasmic localization of p70 S6K1, but not of its isoforms p85 and p31, is regulated by TSC2/mTOR. Oncogene. 2011;30(44):4509–22. 10. Filonenko VV. PI3K/mTOR/S6K signaling pathway — new players and new functional links. Biopolym Cell. 2013; 29(3):207–14. 11. Kurgan N, Tsakiridis E, Kouvelioti R, Moore J, Klentrou P, Tsiani E. Inhibition of Human Lung Cancer Cell Proliferation and Survival by Post- Exercise Serum Is Associated with the Inhibition of Akt, mTOR, p70 S6K, and Erk1/2. Cancers (Basel). 2017;9(5). pii: E46. 12. Magnuson B, Ekim B, Fingar DC. Regulation and function of ribosomal protein S6 kinase (S6K) within mTOR signalling networks. Biochem J. 2012;441(1):1–21. 13. Filonenko VV, Tytarenko R, Azatjan SK, Savinska LO, Gaydar YA, Gout IT, Usenko VS, Lyzogubov VV. Immunohistochemical analysis of S6K1 and S6K2 localization in human breast tumors. Exp Oncol. 2004;26(4):294–9. 14. Riedl A, Schlederer M, Pudelko K, Stadler M, Walter S, Unterleuthner D, Unger C, Kramer N, Hengstschläger M, Kenner L, Pfeiffer D, Krupitza G, Dolznig H. Comparison of cancer cells in 2D vs 3D culture reveals differences in AKT-mTOR-S6K signaling and drug responses. J Cell Sci. 2017; 130(1):203–218. 15. Gotsulyak NYa, Kosach VR, Cherednyk OV, Tykhonkova IO, Khoruzhenko AI. Optimization of cell motility evaluation in scratch assay. Biopolym Cell. 2014;30(3):223–8. 16. Kosach V, Shkarina K, Kravchenko A, Tereshchen- ko Y, Kovalchuk E, Skoroda L, Krotevych M, Khoruzhenko A. Nucleocytoplasmic distribution of S6K1 depends on the density and motility of MCF- 7 cells in vitro. F1000Research. 2018;7:1332. 17. Soule HD, Vazguez J, Long A, Albert S, Brennan M. A human cell line from a pleural effusion derived from a breast carcinoma. J Natl Cancer Inst. 1973;51(5):1409–16. 18. Savinska LO, Klipa OM, Khoruzenko AI, Shka ri- na KA, Garifulin OM, Filonenko VV. Generation and characterization of polyclonal antibodies specific to N-terminal extension of p85 isoform of ribosomal protein S6 kinase 1 (p85 S6K1) Biopolym Cell. 2015;31(4):294–300. 19. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676–82. 486 A. O. Kravchenko, V. R. Kosach, K. A. Shkarina et al. 20. Liu L, Li F, Cardelli JA, Martin KA, Blenis J, Huang S. Rapamycin inhibits cell motility by suppression of mTOR-mediated S6K1 and 4E-BP1 pathways. Oncogene. 2006;25(53):7029-40. Оптимізація моделі визначення динаміки міграції пухлинних клітин in vitro А. О. Кравченко, В. Р. Косач, АІ, К.А. Шкаріна, І. В. Заєць, І. О. Тихонкова, А.І. Хоруженко Міграційна здатність є важливою ознакою пухлинних клітин. Існує кілька підходів до аналізу динаміки мі- грації ракових клітин in vitro. Однією з найбільш пер- спективних і близьких до умов in vivo є модель ініці- ювання міграції клітин з тривимірного багатоклітин- ного сфероїда на ростову поверхню. Мета. Оптимізація моделі для адекватної кількісної оцінки міграції пух- линних клітин. Методи. 2- та 3-вимірна культура клі- тин лінії MCF-7, імунофлюоресцентний аналіз, аналіз зображень з використанням комп’ютерної програми Фіджі. Результати. Уніфікація розміру сфероїдів до- зволила уникнути значного розкиду даних. Отримані сфероїди повністю розпластувались протягом 3 днів. Найвищий показник міграції спостерігався на 2-гу добу розпластування сфероїда. Рівень проліферації клітин за кожну добу 3-денного експерименту був майже однаковим і не перевищував 3 %. Валідність моделі була протестована після пригнічення міграцій- ної активності клітин під впливом рапаміцину (інгібі- тор сигналізації mTOR). Крім того, запропонована модель була успішно застосована для дослідження субклітинної локалізації p85S6K1 в мігруючих кліти- нах лінії MCF-7 за допомогою імунофлюоресцентно- го аналізу. Висновки. Подвійне фільтрування багато- клітинних сфероїдів дозволяє уніфікувати їх розміри, що в подальшому сприяє адекватній оцінці міграцій- ного потенціалу клітин. Запропонована модель до- зволяє вивчати динаміку міграційних процесів пух- линних клітин і може бути використана для тестуван- ня протипухлинних препаратів in vitro. К л юч ов і с л ов а: Міграція ракових клітин, 2- та тривимірна культура клітин, p85S6K1, сфероїди. Оптимизация модели определения динамики миграции опухолевых клеток in vitro А. А. Кравченко, В. Р. Косач, К. А. Шкарина, И. В. Заец, И. А Тихонкова, А. И. Хоруженко Миграционная способность является важным призна- ком опухолевых клеток. Существует несколько подхо- дов к анализу динамики миграции ракових клеток in vitro. Одним из наиболее перспективных и близких к условиям in vivo является модель инициирования ми- грации клеток из трехмерного многоклеточного сфе- роида на ростовую поверхность. Цель. Оптимизация модели для адекватной количественной характеристи- ки миграции опухолевых клеток. Методы. 2- и 3-мер- ная культура клеток линии MCF-7, иммунофлюорес- центный анализ, анализ изображений с использовани- ем компьютерной программы Фиджи. Результаты. Унификация размеров сфероидов позволила избежать значительного разброса данных. Полученные сферо- иды полностью распластывались в течение 3 дней. Самый високий показатель миграции наблюдался на 2-е сутки распластования сфероида. Уровень проли- ферации клеток за каждые сутки 3-дневного экспери- мента был близьким и не превышал 3 %. Валидность модели была протестирована после подавления мигра- ции под влиянием рапамицина (ингибитор сигнализа- ции mTOR). Кроме того, предложенная модель была успешно применена для исследования субклеточной локализации p85S6K1 в мигрирующих клетках линии MCF-7 с помощью иммунофлюоресцентного анализа. Выводы. Двойная фильтрация генерируемых in vitro многоклеточных сфероидов позволила унифицировать их размер, что способствует адекватной оценке мигра- ционного потенцала клеток. Предложенная модель позволяет изучать динамику миграционных процессов опухолевых клеток и может бать использована для тестирования противоопухолевых препаратов in vitro. К л юч е в ы е с л ов а: Миграция ракових клеток, двух- и трехмерная культура клеток, p85S6K1, сферо- иды. Received 15.09.2018 _GoBack
id nasplib_isofts_kiev_ua-123456789-154376
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
issn 0233-7657
language English
last_indexed 2025-12-07T18:03:10Z
publishDate 2018
publisher Інститут молекулярної біології і генетики НАН України
record_format dspace
spelling Kravchenko, A.O.
Kosach, V.R.
Shkarina, K.A.
Zaiets, I.V.
Tykhonkova, I.O.
Khoruzhenko, A.I.
2019-06-15T14:41:10Z
2019-06-15T14:41:10Z
2018
Optimization of in vitro model for analysis of tumor cell migration dynamics / A.O. Kravchenko, V.R. Kosach, K.A. Shkarina, I.V. Zaiets, I.O. Tykhonkova, A.I. Khoruzhenko // Вiopolymers and Cell. — 2018. — Т. 34, № 6. — С. 476-486. — Бібліогр.: 20 назв. — англ.
0233-7657
DOI: http://dx.doi.org/10.7124/bc.000992
https://nasplib.isofts.kiev.ua/handle/123456789/154376
576 + 577
Migration ability is an important feature of tumor cells. There are several approaches to analyze the dynamics of cancer cell migration in vitro. One of the most perspective and closer to the in vivo conditions is the model of initiation of the cell migration from 3D multicellular spheroids onto growth surface. Aim. Optimization of the model for adequate quantitative characteristics of the tumor cell locomotion during several days. Methods. 2D and 3D MCF-7 cell culture, immunofluorescence analysis, and image analysis using computer software Fiji. Results. Unification of spheroid size allowed avoiding a significant data deviation. The obtained spheroids spread completely for 3 days. The highest migration ratio was observed at the 2nd day. The proliferation level at each of 3-day experiment was the same and did not exceed 3%. The validity of the model was tested after migration inhibition by rapamycin (mTOR signaling inhibitor). Additionally, this model was successfully applied to immunofluorescence analysis, namely investigation of p85S6K1 subcellular localization in moving MCF-7 cells. Conclusions. Double filtration of multicellular spheroids allowed unification of their size, which promotes an adequate interpretation of the migration assay. This model enabled the study of tumor cells migration dynamics and can be further used for the development of anticancer drug.
Міграційна здатність є важливою ознакою пухлинних клітин. Існує кілька підходів до аналізу динаміки міграції ракових клітин in vitro. Однією з найбільш перспективних і близьких до умов in vivo є модель ініціювання міграції клітин з тривимірного багатоклітинного сфероїда на ростову поверхню. Мета. Оптимізація моделі для адекватної кількісної оцінки міграції пухлинних клітин. Методи. 2- та 3-вимірна культура клітин лінії MCF-7, імунофлюоресцентний аналіз, аналіз зображень з використанням комп'ютерної програми Фіджі. Результати. Уніфікація розміру сфероїдів дозволила уникнути значного розкиду даних. Отримані сфероїди повністю розпластувались протягом 3 днів. Найвищий показник міграції спостерігався на 2-гу добу розпластування сфероїда. Рівень проліферації клітин за кожну добу 3-денного експерименту був майже однаковим і не перевищував 3%. Валідність моделі була протестована після пригнічення міграційної активності клітин під впливом рапаміцину (інгібітор сигналізації mTOR). Крім того, запропонована модель була успішно застосована для дослідження субклітинної локалізації p85S6K1 в мігруючих клітинах лінії MCF-7 за допомогою імунофлюоресцентного аналізу. Висновки. Подвійне фільтрування багатоклітинних сфероїдів дозволяє уніфікувати їх розміри, що в подальшому сприяє адекватній оцінці міграційного потенціалу клітин. Запропонована модель дозволяє вивчати динаміку міграційних процесів пухлинних клітин і може бути використана для тестування протипухлинних препаратів in vitro.
Миграционная способность является важной особенностью опухолевых клеток. Существует несколько подходов для анализа динамики миграции раковых клеток in vitro. Одной из наиболее перспективных и приближенных к условиям in vivo является модель инициации миграции клеток из трехмерных многоклеточных сфероидов на поверхность роста. Цель. Оптимизация модели для адекватных количественных характеристик локомоции опухолевых клеток в течение нескольких дней. Методы. 2D и 3D MCF-7 клеточная культура, иммунофлуоресцентный анализ и анализ изображений с использованием компьютерного программного обеспечения Фиджи. Результаты. Унификация размеров сфероидов позволила избежать значительного отклонения данных. Полученные сфероиды распространились полностью за 3 дня. Самый высокий коэффициент миграции наблюдался на 2-й день. Уровень пролиферации в каждом из 3-дневных экспериментов был одинаковым и не превышал 3%. Достоверность модели была проверена после ингибирования миграции рапамицином (ингибитор передачи сигналов mTOR). Кроме того, эта модель была успешно применена для иммунофлуоресцентного анализа, а именно для исследования субклеточной локализации p85S6K1 в движущихся клетках MCF-7. Выводы. Двойная фильтрация многоклеточных сфероидов позволила унифицировать их размер, что способствует адекватной интерпретации анализа миграции. Эта модель позволила изучить динамику миграции опухолевых клеток и может быть в дальнейшем использована для разработки противоопухолевого препарата.
en
Інститут молекулярної біології і генетики НАН України
Вiopolymers and Cell
Methods
Optimization of in vitro model for analysis of tumor cell migration dynamics
Оптимізація моделі in vitro для аналізу динаміки міграції пухлинних клітин
Оптимизация in vitro модели для анализа динамики миграции опухолевых клеток
Article
published earlier
spellingShingle Optimization of in vitro model for analysis of tumor cell migration dynamics
Kravchenko, A.O.
Kosach, V.R.
Shkarina, K.A.
Zaiets, I.V.
Tykhonkova, I.O.
Khoruzhenko, A.I.
Methods
title Optimization of in vitro model for analysis of tumor cell migration dynamics
title_alt Оптимізація моделі in vitro для аналізу динаміки міграції пухлинних клітин
Оптимизация in vitro модели для анализа динамики миграции опухолевых клеток
title_full Optimization of in vitro model for analysis of tumor cell migration dynamics
title_fullStr Optimization of in vitro model for analysis of tumor cell migration dynamics
title_full_unstemmed Optimization of in vitro model for analysis of tumor cell migration dynamics
title_short Optimization of in vitro model for analysis of tumor cell migration dynamics
title_sort optimization of in vitro model for analysis of tumor cell migration dynamics
topic Methods
topic_facet Methods
url https://nasplib.isofts.kiev.ua/handle/123456789/154376
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