In vitro cell migration and invasion assays
Abstract
Determining the migratory and invasive capacity of tumor and stromal cells and clarifying the underlying mechanisms is most relevant for novel strategies in cancer diagnosis, prognosis, drug development and treatment. Here we shortly summarize the different modes of cell travelling and review in vitro methods, which can be used to evaluate migration and invasion. We provide a concise summary of established migration/invasion assays described in the literature, list advantages, limitations and drawbacks, give a tabular overview for convenience and depict the basic principles of the assays graphically. In many cases particular research problems and specific cell types do not leave a choice for a broad variety of usable assays. However, for most standard applications using adherent cells, based on our experience we suggest to use exclusion zone assays to evaluate migration/invasion. We substantiate our choice by demonstrating that the advantages outbalance the drawbacks e.g. the simple setup, the easy readout, the kinetic analysis, the evaluation of cell morphology and the feasibility to perform the assay with standard laboratory equipment. Finally, innovative 3D migration and invasion models including heterotypic cell interactions are discussed. These methods recapitulate the in vivo situation most closely. Results obtained with these assays have already shed new light on cancer cell spreading and potentially will uncover unknown mechanisms.
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In the majority of cases, cell migration is conflated with cell proliferation in migration assays.
“A significant drawback of these approaches is that in the majority of cases, cell migration is conflated with cell proliferation11.”
From A simple non-perturbing cell migration assay insensitive to proliferation effects (2016) · cites this paper as [11]
The exclusion zone assay relies on simply counting cells in the exclusion zone and therefore cannot distinguish the effects of proliferation from migration.
“A major drawback of this assay is that it relies on simply counting cells in the exclusion zone and therefore cannot distinguish the effects of proliferation from migration.”
From A simple non-perturbing cell migration assay insensitive to proliferation effects (2016) · cites this paper as [11]
Cites
In vitro scratch assay: a convenient and inexpensive method for analysis of cell migration in vitro
Liang, C.-C., Park, A. Y., & Guan, J.-L. (2007) · Nature Protocols · doi:10.1038/nprot.2007.30 · Cited by 4,696 · see citing works
Orimo, A., Gupta, P. B., Sgroi, D. C., Arenzana-Seisdedos, F., Delaunay, T., Naeem, R., Carey, V. J., Richardson, A. L., & Weinberg, R. A. (2005) · Cell · doi:10.1016/j.cell.2005.02.034 · Cited by 3,759 · see citing works
Gaggioli, C., Hooper, S., Hidalgo-Carcedo, C., Grosse, R., Marshall, J. F., Harrington, K., & Sahai, E. (2007) · Nature Cell Biology · doi:10.1038/ncb1658 · Cited by 1,589 · see citing works
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Sorted by citations
U1 snRNP regulates cancer cell migration and invasion in vitro
Oh, J.-M., Venters, C. C., Di, C., Pinto, A. M., Wan, L., Younis, I., Cai, Z., Arai, C., So, B. R., Duan, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13993-7 · Cited by 7,157 · see citing works
In Vitro Tumor Models: Advantages, Disadvantages, Variables, and Selecting the Right Platform
Katt, M. E., Placone, A. L., Wong, A. D., Xu, Z. S., & Searson, P. C. (2016) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2016.00012 · Cited by 754 · see citing works
Organ-on-a-chip platforms: a convergence of advanced materials, cells, and microscale technologies
Ahadian, S., Civitarese, R., Bannerman, D., Mohammadi, M. H., Lu, R., Wang, E., Davenport‐Huyer, L., Lai, B., Zhang, B., Zhao, Y., et al. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700506 · Cited by 315 · see citing works
Mutant KRAS is a druggable target for pancreatic cancer
Zorde Khvalevsky, E., Gabai, R., Rachmut, I. H., Horwitz, E., Brunschwig, Z., Orbach, A., Shemi, A., Golan, T., Domb, A. J., Yavin, E., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1314307110 · Cited by 295 · see citing works
Human In Vitro Skin Models for Wound Healing and Wound Healing Disorders
Hofmann, E., Fink, J., Pignet, A.-L., Schwarz, A., Schellnegger, M., Nischwitz, S. P., Holzer-Geissler, J. C. J., Kamolz, L.-P., & Kotzbeck, P. (2023) · Biomedicines · doi:10.3390/biomedicines11041056 · Cited by 104 · see citing works
Lugo-Cintrón, K. M., Gong, M. M., Ayuso, J. M., Tomko, L. A., Beebe, D. J., Virumbrales-Muñoz, M., & Ponik, S. M. (2020) · Cancers · doi:10.3390/cancers12051173 · Cited by 103 · see citing works
Wen, Y.-T., Dai, N.-T., & Hsu, S.-H. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.02.044 · Cited by 91 · see citing works
Yegappan, R., Selvaprithiviraj, V., Mohandas, A., & Jayakumar, R. (2019) · Colloids and Surfaces B: Biointerfaces · doi:10.1016/j.colsurfb.2019.01.035 · Cited by 84 · see citing works
Rodenhizer, D., Dean, T., D'Arcangelo, E., & McGuigan, A. P. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701174 · Cited by 80 · see citing works
Immune Organs and Immune Cells on a Chip: An Overview of Biomedical Applications
Morsink, M., Willemen, N., Leijten, J., Bansal, R., & Shin, S. (2020) · Micromachines · doi:10.3390/mi11090849 · Cited by 73 · see citing works
Modeling of cancer metastasis and drug resistance via biomimetic nano-cilia and microfluidics
Kuo, C.-T., Chiang, C.-L., Chang, C.-H., Liu, H.-K., Huang, G.-S., Huang, R. Y.-J., Lee, H., Huang, C.-S., & Wo, A. M. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2013.11.008 · Cited by 65 · see citing works
A microfluidic co-culture system to monitor tumor-stromal interactions on a chip
Menon, N. V., Chuah, Y. J., Cao, B., Lim, M., & Kang, Y. (2014) · Biomicrofluidics · doi:10.1063/1.4903762 · Cited by 53 · see citing works
Pre-clinical Models of Metastasis in Pancreatic Cancer
Miquel, M., Zhang, S., & Pilarsky, C. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.748631 · Cited by 53 · see citing works
Laser direct-write onto live tissues: a novel model for studying cancer cell migration
Burks, H. E., Phamduy, T. B., Azimi, M. S., Saksena, J., Burow, M. E., Collins‐Burow, B. M., Chrisey, D. B., & Murfee, W. L. (2016) · Journal of Cellular Physiology · doi:10.1002/jcp.25363 · Cited by 48 · see citing works
Digital microfluidics for spheroid-based invasion assays
Bender, B. F., Aijian, A. P., & Garrell, R. L. (2016) · Lab on a Chip · doi:10.1039/c5lc01569c · Cited by 49 · see citing works
Antagonistic Effects of Endogenous Nitric Oxide in a Glioblastoma Photodynamic Therapy Model
Fahey, J. M., Emmer, J. V., Korytowski, W., Hogg, N., & Girotti, A. W. (2016) · Photochemistry and Photobiology · doi:10.1111/php.12636 · Cited by 49 · see citing works
A simple non-perturbing cell migration assay insensitive to proliferation effects
Glenn, H. L., Messner, J., & Meldrum, D. R. (2016) · Scientific Reports · doi:10.1038/srep31694 · Cited by 47 · see citing works
Skobowiat, C., Oak, A. S. W., Kim, T.-K., Yang, C. H., Pfeffer, L. M., Tuckey, R. C., & Slominski, A. T. (2017) · Oncotarget · doi:10.18632/oncotarget.14193 · Cited by 44 · see citing works
Mechanical stimulation modulates osteocyte regulation of cancer cell phenotype
Verbruggen, S. W., Thompson, C. L., Duffy, M. P., Lunetto, S., Nolan, J., Pearce, O. M. T., Jacobs, C. R., & Knight, M. M. (2021) · Cancers · doi:10.3390/cancers13122906 · Cited by 44 · see citing works
“Invasiveness of cancer cells was measured using an in vitro Matrigel invasion assay [53].”
MethodDel Amo, C., Borau, C., Movilla, N., Asín, J., & García-Aznar, J. M. (2017) · Integrative Biology · doi:10.1039/c7ib00022g · Cited by 38 · see citing works
Nogalski, M. T., & Shenk, T. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2017734117 · Cited by 25 · see citing works
Kuo, C.-T., Liu, H.-K., Huang, G.-S., Chang, C.-H., Chen, C.-L., Chen, K.-C., Yun-Ju Huang, R., Lin, C.-H., Lee, H., Huang, C.-S., et al. (2014) · The Analyst · doi:10.1039/c4an00936c · Cited by 20 · see citing works
Aranha, E. S. P., de Azevedo, S. G., dos Reis, G. G., Silva Lima, E., Machado, M. B., & de Vasconcellos, M. C. (2019) · Industrial Crops and Products · doi:10.1016/j.indcrop.2019.111736 · Cited by 17 · see citing works
- Authors
- Kramer, N., Walzl, A., Unger, C., Rosner, M., Krupitza, G., Hengstschläger, M., & Dolznig, H.
- Affiliations
- Medical University of Vienna (AT)
- Corresponding author
- Dolznig, Helmut
- Venue
- Mutation Research/Reviews in Mutation Research
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 752
- Issue
- 1
- Pages
- 10-24
- ISSN
- 1383-5742 (ISSN-L)
- OpenAlex
- W2054874597
- Cited by
- 1,170
- References
- 3
- Citations by year
- 2026: 43 · 2025: 74 · 2024: 90 · 2023: 124 · 2022: 105 · 2021: 128 · 2020: 104 · 2019: 114 · 2018: 114 · 2017: 87 · 2016: 79 · 2015: 50 · 2014: 40 · 2013: 17
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mutation Research/Reviews in Mutation Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- NÖ Forschungs- und Bildungsges.m.b.H.
- Sixth Framework Programme (FP6 036097-2)
- Herzfelder'sche Familienstiftung
- Oesterreichische Nationalbank (P13423)
- 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 › Mechanisms of cancer metastasis
- Keywords
- cell migration, cell invasion, tumor cell motility, heterotypic cell interactions, tumor stromal cells, in vitro migration assay, metastasis
- MeSH terms
- Cell Movement, Humans, Neoplasm Invasiveness, Spheroids, Cellular, Cell Migration Assays, Leukocyte, Cell Migration Assays
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