The DOI matches its Crossref record; 27 of the 28 references it cites were found in a registry or an index.
Three-dimensional culture of melanoma cells profoundly affects gene expression profile: A high density oligonucleotide array study
Abstract
Growth in three-dimensional (3D) architectures has been suggested to play an important role in tumor expansion and in the resistance of cancers to treatment with drugs or cytokines or irradiation. To obtain an insight into underlying molecular mechanisms, we addressed gene expression profiles of NA8 melanoma cells cultured in bidimensional monolayers (2D) or in 3D multicellular tumor spheroids (MCTS). MCTS containing 10-30,000 cells were generated upon overnight culture in poly-Hydroxyethylmethacrylate (polyHEMA) coated plates. Kinetics of cell proliferation in MCTS was significantly slower than in monolayer cultures. Following long-term culture (>10 days), however, MCTS showed highly compact and organised cell growth in outer layers, with necrotic cores. Oligonucleotide microarray analysis of the expression of over 20,000 genes was performed on cells cultured in standard 2D, in the presence of collagen as model of extracellular matrix (ECM), or in MCTS. Gene expression profiles of cells cultured in 2D in the presence or absence of ECM were highly similar, with >/=threefold differences limited to five genes. In contrast, culture in MCTS resulted in the significant, >/=threefold, upregulation of the expression of >100 transcripts while 73 were >/=threefold downregulated. In particular, genes encoding CXCL1, 2, and 3 (GRO-alpha, -beta, and gamma), IL-8, CCL20 (MIP-3alpha), and Angiopoietin-like 4 were significantly upregulated, whereas basic FGF and CD49d encoding genes were significantly downregulated. Oligonucleotide chip data were validated at the gene and protein level by quantitative real-time PCR, ELISA, and cell surface staining assays. Taken together, our data indicate that structural modifications of the architecture of tumor cell cultures result in a significant upregulation of the expression of a number of genes previously shown to play a role in melanoma progression and metastatic process.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“transcriptomic analysis of melanoma cells cultured as monolayers, monolayers with ECM, and spheroids revealed that gene expression remained largely unchanged between the two monolayer conditions, while spheroid cultures exhibited substantial differences [194,195].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [194]
In the citing paper
“Over 100 transcripts were found to be upregulated and approximately 70 downregulated, with many of the altered genes associated with tumor progression and metastatic behavior [194].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [194]
In the citing paper
“gene expression patterns in spheroids more closely resemble those found in solid tumors than in monolayer cultures [112,193,194].”
From Modeling Tumor Microenvironment Complexity In Vitro: Spheroids as Physiologically Relevant Tumor Models and Strategies for Their Analysis (2025) · cites this paper as [194]
Citations
Cites
Role of cell shape in growth control
Folkman, J., & Moscona, A. (1978) · Nature · doi:10.1038/273345a0 · Cited by 2,422
Interleukin-8 as a macrophage-derived mediator of angiogenesis
Koch, A. E., Polverini, P. J., Kunkel, S. L., Harlow, L. A., DiPietro, L. A., Elner, V. M., Elner, S. G., & Strieter, R. M. (1992) · Science · doi:10.1126/science.1281554 · Cited by 2,135
Cell and environment interactions in tumor microregions: the multicell spheroid model.
Sutherland, R. M. (1988) · Science · doi:10.1126/science.2451290 · Cited by 1,803
Cell adhesion and signalling by cadherins and Ig-CAMs in cancer
Cavallaro, U., & Christofori, G. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1276 · Cited by 1,314
Kelm, J. M., Timmins, N. E., Brown, C. J., Fussenegger, M., & Nielsen, L. K. (2003) · Biotechnology and Bioengineering · doi:10.1002/bit.10655 · Cited by 934
Weaver, V. M., Lelièvre, S. A., Lakins, J. N., Chrenek, M. A., Jones, J., Giancotti, F. G., Werb, Z., & Bissell, M. J. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00125-3 · Cited by 794
A listing of human tumor antigens recognized by T cells
Renkvist, N., Castelli, C., Robbins, P. F., & Parmiani, G. (2001) · Cancer Immunology Immunotherapy · doi:10.1007/s002620000169 · Cited by 694
Comparison of alamar blue and MTT assays for high through-put screening
Hamid, R., Rotshteyn, Y., Rabadi, L., Parikh, R., & Bullock, P. L. (2004) · Toxicology in Vitro · doi:10.1016/j.tiv.2004.03.012 · Cited by 572
Roles of tumour localization, second signals and cross priming in cytotoxic T-cell induction
Ochsenbein, A. F., Sierro, S. R., Odermatt, B., Pericin, M., Karrer, U., Hermans, J., Hemmi, S., Hengartner, H., & Zinkernagel, R. M. (2001) · Nature · doi:10.1038/35082583 · Cited by 495
Multicellular resistance: a paradigm for clinical resistance?
Desoize, B. (2000) · Critical Reviews in Oncology/Hematology · doi:10.1016/s1040-8428(00)00086-x · Cited by 399
Flagged first, then by citations
1 of the 28 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 201–300 of 326
Activated stress response pathways within multicellular aggregates utilize an autocrine component
Jack, G. D., Cabrera, M. C., Manning, M. L., Slaughter, S. M., Potts, M., & Helm, R. F. (2006) · Cellular Signalling · doi:10.1016/j.cellsig.2006.10.005 · Cited by 14
Tissue engineering: a new frontier in physiological genomics
Petersen, M. C., Lazar, J., Jacob, H. J., & Wakatsuki, T. (2007) · Physiological Genomics · doi:10.1152/physiolgenomics.00165.2007 · Cited by 14
Hydrogel-integrated Microfluidic Systems for Advanced Stem Cell Engineering
An, S., Han, S. Y., & Cho, S. (2019) · BioChip Journal · doi:10.1007/s13206-019-3402-5 · Cited by 14
Rogers, H. A., Chapman, R. J., Kings, H., Allard, J., Barron-Hastings, J., Pajtler, K. W., Sill, M., Pfister, S. M., & Grundy, R. G. (2018) · Oncotarget · doi:10.18632/oncotarget.26370 · Cited by 13
Chew, C. H., Sheu, B.-L., Chen, A. L., Huang, W., Cheng, T.-M., Shih, C., Chang, A., & Chen, C. (2021) · Membranes · doi:10.3390/membranes11100732 · Cited by 13
In Vitro and In Vivo Tumor Models for the Evaluation of Anticancer Nanoparticles
Abreu, T. R., Biscaia-Caleiras, M., Gonçalves, N., Fonseca, N. A., & Moreira, J. N. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-58174-9_12 · Cited by 14
Vörös, A., Kormos, B., Vályi-Nagy, T., & Valyi‐Nagy, K. (2013) · ISRN Oncology · doi:10.1155/2013/104913 · Cited by 13
Organotypic Human Skin Cultures Incorporating Primary Melanocytes
Roth‐Carter, Q. R., Koetsier, J. L., Broussard, J. A., & Green, K. J. (2022) · Current Protocols · doi:10.1002/cpz1.536 · Cited by 12
Aulthouse, A. L., Freeh, E., Newstead, S., & Stockert, A. (2019) · Nutrition and Metabolic Insights · doi:10.1177/1178638819841399 · Cited by 12
Kintzios, S. E., & Banerjee, P. (2014) · Elsevier eBooks · doi:10.1016/b978-0-85709-801-6.00005-8 · Cited by 12
Suryakodi, S., Mithra, S., Ahmed, A. N., Kanimozhi, K., Rajkumar, V., Taju, G., Majeed, S. A., & Hameed, A. S. S. (2024) · Aquaculture International · doi:10.1007/s10499-024-01414-6 · Cited by 11
Sulaksono, H. L. S., Annisa, A., Ruslami, R., Mufeeduzzaman, M., Panatarani, C., Hermawan, W., Ekawardhani, S., & Joni, I. M. (2024) · International Journal of Nanomedicine · doi:10.2147/ijn.s455940 · Cited by 12
Identification and functional validation of therapeutic targets for malignant melanoma
Gremel, G., Rafferty, M., Lau, T. Y. K., & Gallagher, W. M. (2009) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2009.02.004 · Cited by 11
3D cancer tumor models for evaluating chemotherapeutic efficacy
Shin, C. S., Kwak, B., Han, B., Park, K., & Panitch, A. (2013) · Elsevier eBooks · doi:10.1533/9780857096760.4.445 · Cited by 11
True monolayer cell culture in a confined 3D microenvironment enables lineage informatics
Ramunas, J., Illman, M., Kam, A., Farn, K., Kelly, L., Morshead, C. M., & Jervis, E. (2006) · Cytometry Part A · doi:10.1002/cyto.a.20341 · Cited by 11
Hyaluronan-Based Hydrogels for 3D Modeling of Tumor Tissues
Alsharabasy, A. M., & Pandit, A. S. (2024) · Tissue Engineering Part C Methods · doi:10.1089/ten.tec.2024.0271 · Cited by 10
Oh‐Hohenhorst, S. J., Derya Tilki, A., Ahlers, A., Suling, A. I., Hahn, O., Tennstedt, P., Matuszcak, C., Maar, H., Labitzky, V., Hanika, S., et al. (2021) · Cancer Gene Therapy · doi:10.1038/s41417-020-00288-z · Cited by 10
Peretz, Y., Wu, H. G., Patel, S., Bellacosa, A., & Katz, R. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0116839 · Cited by 10
Farouk, S. M., Khafaga, A. F., & Abdellatif, A. M. (2023) · Cancer Cell International · doi:10.1186/s12935-023-03069-4 · Cited by 11
Ishiwata (2011) · International Journal of Oncology · doi:10.3892/ijo.2011.945 · Cited by 9
3D multicellular models to study the regulation and roles of acid–base transporters in breast cancer
Czaplińska, D., Elingaard-Larsen, L. O., Rolver, M. G., Severin, M., & Pedersen, S. F. (2019) · Biochemical Society Transactions · doi:10.1042/bst20190131 · Cited by 10
Bhaumik, S., Boyer, J. Z., Banerjee, C., Clark, S., Sebastiao, N., Vela, E. E., & Towne, P. (2020) · Journal of Cellular Biochemistry · doi:10.1002/jcb.29827 · Cited by 10
3D culture of fibroblasts and neuronal cells on microfabricated free-floating carriers
Kumar, P., Jimenez-Franco, A., & Zhao, X. (2023) · Colloids and Surfaces B Biointerfaces · doi:10.1016/j.colsurfb.2023.113350 · Cited by 8
Imaging cell spheroid clusters: An MRI protocol for non-invasive standardized characterization
Wißmann, R., Martirosian, P., Danalache, M., Grözinger, G., Schick, F., & Elser, S. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e41803 · Cited by 8
Schäfer, M. E. A., Klicks, J., Hafner, M., & Rudolf, R. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1205-7_13 · Cited by 7
Zaki, M. Y. W., Shetty, S., Wilkinson, A. L., Patten, D. A., Oakley, F., & Reeves, H. L. (2021) · Journal of Visualized Experiments · doi:10.3791/62868 · Cited by 8
Advances in cryostructures and their applications in biomedical and pharmaceutical products
Babanejad, N., Mfoafo, K. A., Thumma, A., Omidi, Y., & Omidian, H. (2023) · Polymer Bulletin · doi:10.1007/s00289-023-04683-y · Cited by 8
Bioengineered Cystinotic Kidney Tubules Recapitulate a Nephropathic Phenotype
Garví, E. S., Masereeuw, R., & Janssen, M. J. (2022) · Cells · doi:10.3390/cells11010177 · Cited by 8
Valyi‐Nagy, K., Vörös, A., Gagyi, É., & Vályi-Nagy, T. (2011) · InTech eBooks · doi:10.5772/19222 · Cited by 8
Aldaghi, S. A., & Jalal, R. (2019) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.8b00335 · Cited by 9
Investigation of the phototoxic effect of ZnO nanorods on fibroblasts and melanoma human cells
Kishwar, S., Siddique, M., Israr, M. Q., Nur, O., Willander, M., & Öllinger, K. M. (2014) · Laser Physics Letters · doi:10.1088/1612-2011/11/11/115606 · Cited by 8
Three-dimensional bioprinted hepatorganoids in liver failure
Kaur, S., Tripathi, D. M., & Ghosh, S. (2020) · Gut · doi:10.1136/gutjnl-2020-322317 · Cited by 8
WITHDRAWN: In Vitro three-dimensional (3D) cell culture tools for spheroid and organoid models
Lee, S., Koo, I.-S., Hwang, H. J., & Lee, D. W. (2023) · SLAS DISCOVERY · doi:10.1016/j.slasd.2023.12.003 · Cited by 9
RetractedSpheroid-formation 3D engineering model assay for in vitro assessment and expansion of cancer cells
Salman, M. I., Emran, M. A., & Al-Shammari, A. M. (2021) · AIP conference proceedings · doi:10.1063/5.0065362 · Cited by 11
Growth environment influences B16.F10 mouse melanoma cell response to gene electrotransfer
Heller, L. C., Bulysheva, A. A., Arpag, S., Conniff, A. S., Kohena, K., Shi, G., Semenova, N., Heller, R. F., & Čemažar, M. (2021) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2021.107827 · Cited by 7
Sharma, A., Sharma, N., Lavy, C., Kiltie, A. E., Hamdy, F. C., & Czernuszka, J. T. (2014) · Journal of Materials Science · doi:10.1007/s10853-014-8325-x · Cited by 7
Sanyal, A., & Ghosh, S. (2024) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2024.100526 · Cited by 7
Extrapolation of In Vitro Results to Predict Human Toxicity
Das, S. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804667-8.00007-9 · Cited by 7
Lung tumor organoids migrate as cell clusters containing cancer stem cells under hypoxic condition
Li, Y., Zou, J., Fang, Y., Zuo, J., Wang, R., & Liang, S. (2025) · Biology of the Cell · doi:10.1111/boc.202400081 · Cited by 6
Patient-derived melanoma models
Karras, F., & Kunz, M. (2024) · Pathology - Research and Practice · doi:10.1016/j.prp.2024.155231 · Cited by 6
Fernández-Montoro, A., Angel‐Velez, D., Benedetti, C., Azari‐Dolatabad, N., Pascottini, O. B., Soom, A. V., & Pavani, K. C. (2023) · Animals · doi:10.3390/ani13101635 · Cited by 6
Žmudová, Z., Šanderová, Z., Liegertová, M., Vinopal, S., Herma, R., Sušický, L., Müllerová, M., Strašák, T., & Malý, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-42850-3 · Cited by 6
Liu, X., Xu, S., Kuang, X., & Wang, X. (2017) · Micromachines · doi:10.3390/mi8050147 · Cited by 7
A new approach to assess drug sensitivity in cells for novel drug discovery
Mazzarella, L., & Curigliano, G. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1437136 · Cited by 6
Materials and assay systems used for three‐dimensional cell culture
Sanyal, S., & Kosovsky, M. J. (2017) · Wiley eBooks · doi:10.1002/9781118851647.ch7 · Cited by 7
Monteiro, C. J., Monteiro, P. F., Travanut, A., Gulfam, M., Heery, D. M., Grabowska, A. M., & Alexander, C. (2025) · RSC Pharmaceutics · doi:10.1039/d4pm00336e · Cited by 5
Engineering in vitro complex pathophysiologies for drug discovery purposes
Gaspar, D., & Zeugolis, D. I. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.08.007 · Cited by 5
Dougherty, J. M., Harvey, K., Liou, A., Labella, K., Moran, D. H., Brosius, S. N., & Raedt, T. D. (2023) · PLoS ONE · doi:10.1371/journal.pone.0277305 · Cited by 5
Iles, L. R., & Bartholomeusz, G. A. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-6337-9_10 · Cited by 4
Culture of Tumorigenic Cells on Protein Fibers Reveals Metastatic Cell Behaviors
Hsiao, H., Santos, A., Howell, D. W., Patterson, J. L., Fuchs‐Young, R., & Bondos, S. E. (2016) · Biomacromolecules · doi:10.1021/acs.biomac.6b01311 · Cited by 4
Zhang, Y., Xu, S., Wu, T., Hu, K., Chen, S., Xu, A., & Wu, L. (2018) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.8b00069 · Cited by 4
Enhanced growth and myogenic differentiation of spheroid-derived C2C12 cells
Jin, G. (2021) · Bioscience Biotechnology and Biochemistry · doi:10.1093/bbb/zbab018 · Cited by 4
Saad, M. N., & Hamed, M. (2024) · Cancers · doi:10.3390/cancers16142517 · Cited by 5
Bioimprinting: Bringing Together 2D and 3D in Dissecting Cancer Biology
Sarwar, M., & Evans, J. J. (2021) · BioTechniques · doi:10.2144/btn-2021-0058 · Cited by 4
Soleimani, A., Zareifard, N., Talaei‐Khozani, T., & Bahmanpour, S. (2020) · Cell Biology International · doi:10.1002/cbin.11391 · Cited by 4
Cutting-edge technologies in neural regeneration
Li, C.-P., Wang, Y., Zhou, C.-W., Ding, C., Teng, P., Nie, R., & Yang, S. (2025) · Cell Regeneration · doi:10.1186/s13619-025-00260-y · Cited by 3
Mimicking the immunosuppressive impact of fibroblasts in a 3D multicellular spheroid model
Grotz, M., van Gijzel, L., Bitsch, P., Carrara, S. C., Kolmar, H., & Garg, S. (2024) · Frontiers in Drug Discovery · doi:10.3389/fddsv.2024.1427407 · Cited by 4
Developmental Biology-Based 3D Bioprinting: An Off-the-Shelf Strategy to Induce Tissue Regeneration
Chakraborty, J., & Ghosh, S. (2025) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.5c00213 · Cited by 4
Recent advances in tumors-on-chips
Dogan, E., Salemizadehparizi, F., Çeçen, B., & Miri, A. K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85671-3.00006-3 · Cited by 3
Colorectal cysts as a validating tool for CAR therapy
Dillard, P., Lie, M., Baken, E., Lobert, V. H., Benard, E., Köksal, H., Inderberg, E. M., & Wälchli, S. (2020) · BMC Biotechnology · doi:10.1186/s12896-020-00623-0 · Cited by 4
Fabrication of pseudo three-dimensional PADC cell culture substrates for dosimetric studies
Ng, C., Wong, M. Y. P., Lam, R. K. K., Ho, J., & Yu, K. N. (2011) · Radiation Measurements · doi:10.1016/j.radmeas.2011.06.009 · Cited by 3
Molecular basis for cytokine biomarkers of complex 3D microtissue physiology in vitro
Asthana, A., & Kisaalita, W. S. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.03.009 · Cited by 3
Hambach, L., Buser, A. S., Vermeij, M., Pouw, N. M. C., van der Kwast, T., & Goulmy, E. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-3338-9_15 · Cited by 3
Cytokine profiling of MCF‐7 cell line 2D, progressive 3D, and 3D revert cultures
Subramaniyan, A., & Ravi, M. (2017) · Journal of Cellular Biochemistry · doi:10.1002/jcb.26349 · Cited by 3
Organizing Committee General Chair
Grochowski, E., Dillinger, T., Ashar, P. N., Timmermann, D., Kim, K. S., & Seidel, P.-M. (2005) · Cited by 3
Rashidi, R., Hadjighassem, M., & Negahdari, B. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149783 · Cited by 2
Hasan, A., Sharma, G., Majumder, N., Chaudhary, S., Mehta, D., Vaishya, R., Ghosh, S., & Sunil, S. (2025) · ACS Omega · doi:10.1021/acsomega.5c02832 · Cited by 2
Costabile, F., George, S. S., Facciabene, A., Filaci, G., & Mastrogiacomo, M. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1572315 · Cited by 2
Pustchi, S. E., Waits, C. M. K., Avci, N. G., McGill, L. D., Akay, Y. M., & Akay, M. (2022) · IEEE Access · doi:10.1109/access.2022.3146887 · Cited by 2
3D cell subculturing pillar dish for pharmacogenetic analysis and high-throughput screening
Lee, S., Hwang, H. J., Song, Y. J., Lee, D., Ku, B., Sa, J. K., & Lee, D. W. (2023) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100793 · Cited by 3
Hosni, I., Iles, A., Greenman, J., & Wade, M. (2023) · Innovation and Emerging Technologies · doi:10.1142/s2737599423400054 · Cited by 4
Gonçalves, P. P., da Silva, C. L., & Bernardes, N. (2024) · Advances in cancer research · doi:10.1016/bs.acr.2024.07.001 · Cited by 2
Human Organotypic Respiratory Models
Svensson, M., & Chen, P. (2018) · Current topics in microbiology and immunology · doi:10.1007/82_2018_91 · Cited by 2
Stellenwert der Zellkulturmodelle in kutaner Tumorbiologie
Hatina, J., & Ruzicka, T. (2007) · Der Hautarzt · doi:10.1007/s00105-007-1436-4 · Cited by 2
Current Scenario of Regenerative Medicine: Role of Cell, Scaffold and Growth Factor
Pramanik, N., & Rath, T. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.94906 · Cited by 2
Overview of Primary Cell Culture Models in Preclinical Research of Prostate and Bladder Cancer
Killekar, K., Puranik, S. I., Aimen Akbar, A., Ghagane, S. C., Nerli, R. B., & Hiremath, M. B. (2022) · Biochemistry · doi:10.5772/intechopen.99493 · Cited by 3
Gunár, K., Kotrchová, L., Filipová, M., Krunclová, T., Dydowiczová, A., Pola, R., Randárová, E., Etrych, T., & Janoušková, O. (2022) · Nanomedicine · doi:10.2217/nnm-2022-0081 · Cited by 3
Rounding Up Apoptosis Resistance Targets in Lung Cancer
Powell, C. A. (2009) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2009-0002ed · Cited by 2
Sangseekew, W., Ornnork, N., Sornprachum, T., Sirirak, J., Lirdprapamongkol, K., Boonsombat, J., Svasti, J., & Keeratichamroen, S. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.150908 · Cited by 1
Lee, H. J., Lau, L. N., Sidhu, S. K., Park, J., & Yeo, I.-S. L. (2025) · Prosthesis · doi:10.3390/prosthesis7030052 · Cited by 1
Lim, G., An, J., Lee, J., Seo, K.-W., & Youn, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-12950-3 · Cited by 1
Engineering biocompatible polylactic acid (PLA) microcarriers for enhanced 3D cell culture
Salcedo-Uribe, A. P., Samayoa-Cortes, I., Ramirez-Zermeño, N., Navarro-Navarro, S., Díaz, N. F., Ávila‐González, D., Aguayo, D. J. M., & Diaz-Martinez, N. E. (2026) · Biomedical Microdevices · doi:10.1007/s10544-026-00793-2 · Cited by 1
Jaiswal, C., Bhar, B., Sugihara, S., & Mandal, B. B. (2026) · Small · doi:10.1002/smll.202513199 · Cited by 1
SURVEY AND SUMMARY Single-cell RNA-seq: advances and future challenges
Saliba, A., Westermann, A. J., Gorski, S. A., & Vogel, J. (2014) · Cited by 1
Epithelial-To-Mesenchymal Transition in Pancreatic Ductal Adenocarcinoma: Fiction or Fact?
Gagliano, N. (2016) · Pancreas - Open Journal · doi:10.17140/poj-1-e001 · Cited by 1
Popular three-dimensional models: Advantages for cancer, Alzheimer’s and cardiovascular diseases
Ntamo, Y., Samodien, E., Muller, C. J. F., Louw, J., & Chellan, N. (2020) · Tissue and Cell · doi:10.1016/j.tice.2020.101367 · Cited by 1
3D culture systems as models for solid tumors and cancer metabolism
Celeiro, S. P., Baltazar, F., & Viana‐Pereira, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818128-7.00006-x · Cited by 1
Zaki, M. Y. W., Shetty, S., Wilkinson, A. L., Patten, D. A., Oakley, F., & Reeves, H. L. (2021) · Journal of Visualized Experiments · doi:10.3791/62868-v · Cited by 1
A Review on Biomaterials for Organoid Modeling and Tumor Spheroids
Berk, Ş. (2022) · Journal of Physical Chemistry and Functional Materials · doi:10.54565/jphcfum.1143395 · Cited by 1
Encapsulation for in vitro systems
Saeinasab, M., Li, Y., & Sefat, F. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-824345-9.00007-6 · Cited by 1
Secretome-Based Prediction of Three-Dimensional Hepatic Microtissue Physiological Relevance
Asthana, A., White, C. M., Ndyabawe, K., Douglass, M. E., & Kisaalita, W. S. (2019) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.9b01446 · Cited by 1
Johansson, U., Widhe, M., Shalaly, N. D., Arregui, I. L., Nilebäck, L., Tasiopoulos, C. P., Åstrand, C., Berggren, P., Gasser, C. T., & Hedhammar, M. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/403345 · Cited by 1
Spatial control of oxygen delivery to 3D cultures alters cancer cell growth and gene expressionPreprint
Wulftange, W. J., Rose, M. A., Garmendia‐Cedillos, M., da Silva, D., Poprawski, J. E., Srinivasachar, D., Sullivan, T., Lim, L., Bliskovsky, V. V., Hall, M. D., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/522656 · Cited by 1
Transcriptome-Wide Association Study Reveals New Molecular Interactions Associated with MelanomaPreprint
Saad, M. N., & Hamed, M. (2023) · Research Square · doi:10.21203/rs.3.rs-2675327/v1 · Cited by 1
Caracterização funcional das isoformas de splicing do gene ADAM23
Cavalher, F. P. (2012) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.46.2012.tde-10052013-130119
Stellenwert der Zellkulturmodelle in kutaner Tumorbiologie
Hatina, J., & Ruzicka, T. (2007) · Der Hautarzt · doi:10.1007/s00105-007-1437-3
A portable cell-based optical detection device for rapid detection of Listeria and Bacillus toxins
Banerjee, P., Banada, P. P., Rickus, J. L., Morgan, M. T., & Bhunia, A. K. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.630793
Comparative Transcriptional Profiling and Proteomics
(2010) · CRC Press eBooks · doi:10.1201/ebk1420073492-c3
Metadata
- Authors
- Ghosh, S., Spagnoli, G. C., Martin, I., Ploegert, S., Demougin, P., Heberer, M., & Reschner, A.
- Affiliations
- University of Basel (CH)
- Corresponding author
- Reschner, Anca
- Venue
- Journal of Cellular Physiology
- Publisher
- Wiley
- Published
- 2005-03-02
- Volume
- 204
- Issue
- 2
- Pages
- 522-531
- ISSN
- 0021-9541 (ISSN-L)
- 1097-4652
- OpenAlex
- W2015893533
- Cited by
- 326
- References
- 28
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 15 · 2023: 19 · 2022: 16 · 2021: 23 · 2020: 24 · 2019: 18 · 2018: 12 · 2017: 20 · 2016: 30 · 2015: 13 · 2014: 19 · 2013: 21 · 2012: 15
- FWCI
- 5.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cellular Physiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Swiss Bridge Foundation
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Keywords
- melanoma, 3D cell culture, tumor spheroids, gene expression profiles, extracellular matrix, collagen, tumor architecture, CXCL chemokines, interleukin-8, CCL20, ANGPTL4, basic FGF, CD49d, tumor necrosis, metastasis
- MeSH terms
- Cell Division, Enzyme-Linked Immunosorbent Assay, Humans, Melanoma, Staining and Labeling, Tumor Cells, Cultured, Down-Regulation, Up-Regulation, Polymerase Chain Reaction, Spheroids, Cellular, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review