Evidence for microtubule nucleation at the Golgi in breast cancer cells.

Golgi breast cancer metastasis microtubules

Journal

Cytoskeleton (Hoboken, N.J.)
ISSN: 1949-3592
Titre abrégé: Cytoskeleton (Hoboken)
Pays: United States
ID NLM: 101523844

Informations de publication

Date de publication:
31 Oct 2023
Historique:
revised: 10 10 2023
received: 26 05 2023
accepted: 11 10 2023
medline: 31 10 2023
pubmed: 31 10 2023
entrez: 31 10 2023
Statut: aheadofprint

Résumé

Golgi-derived microtubule (MT) arrays are essential to directionally persistent cell migration and vesicle transport. In this study, we have examined MT nucleation sites in two breast cancer cell lines, MDA-MB-231 and MCF-7, with the hypothesis that only the migratory invasive MDA-MB-231 cells exhibit MTs originating from the Golgi. MTs were disassembled and allowed to slightly regrow so individual nucleation sites could then be observed via fluorescently tagged antibodies (α-tubulin, cis-Golgi marker GM130, and EB1-a MT plus-end binding protein) and confocal microscopy. To determine if MT nucleation at the Golgi is more apparent during active migration compared to when cells are stationary, cells were treated with the chemoattractant epidermal growth factor (EGF) and examined for colocalizations between the Golgi, α-tubulin, and γ-tubulin. Images were analyzed qualitatively for color overlap, and quantitatively using Manders Colocalization Coefficients. Differences between groups were tested for significance using one-way analysis of variances and Tukey's post hoc test. Significantly higher colocalization values (coloc) in the highly invasive MDA-MB-231 cells (α-tubulin coloc GM130 = 0.39, GM130 coloc α-tubulin = 0.82, GM130 coloc EB1 = 0.24, and EB1 coloc GM130 = 0.38) compared to the weakly invasive MCF-7 cells (0.15, 0.08, 0.02, and 0.16, respectively) were observed. EGF-treated cells exhibited higher colocalization values than control cells for three of the four protein combinations tested, but EGF-treated MDA-MB-231 cells exhibited significantly higher values (α-tubulin coloc GM130 = 0.20, GM130 coloc α-tubulin = 0.89, and γ-tubulin coloc GM130 = 0.47) than both control groups as well as the EGF-treated MCF-7 cells. Results support the hypothesis that MT nucleation at the Golgi occurs more frequently in the invasive MDA-MB-231 cell line compared to the weakly invasive MCF-7 cells. The presence or absence of Golgi-derived MTs may help to explain the difference in migratory potential commonly exhibited by these two cell lines.

Identifiants

pubmed: 37905740
doi: 10.1002/cm.21803
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 Wiley Periodicals LLC.

Références

Au, F. K. C., Le, K. T. D., & Qi, R. Z. (2023). Detection and analysis of microtubule nucleator γ-tubulin ring complex. Methods in Molecular Biology, 2557, 543-558. https://doi.org/10.1007/978-1-0716-2639-9_32
Bolte, S., & Cordelières, F. P. (2006). A guided tour into subcellular colocalization analysis in light microscopy. Journal of Microscopy, 224(Pt 3), 213-232. https://doi.org/10.1111/j.1365-2818.2006.01706.x
Bozzuto, G., Condello, M., & Molinari, A. (2015). Migratory behaviour of tumour cells: A scanning electron microscopy study. Annali Dell'Istituto Superiore Di Sanita, 51(2), 139-147. https://doi.org/10.4415/ANN_15_02_12
Caplan, M. J., Stow, J. L., Newman, A. P., Madri, J., Anderson, H. C., Farquhar, M. G., Palade, G. E., & Jamieson, J. D. (1987). Dependence on pH of polarized sorting of secreted proteins. Nature, 329(6140), 632-635. https://doi.org/10.1038/329632a0
Chen, M.-T., Sun, H.-F., Zhao, Y., Fu, W.-Y., Yang, L.-P., Gao, S.-P., Li, L.-D., Jiang, H., & Jin, W. (2017). Comparison of patterns and prognosis among distant metastatic breast cancer patients by age groups: A SEER population-based analysis. Scientific Reports, 7(1), 1. https://doi.org/10.1038/s41598-017-10166-8
Esparís-Ogando, A., Montero, J. C., Arribas, J., Ocaña, A., & Pandiella, A. (2016). Targeting the EGF/HER ligand-receptor system in cancer. Current Pharmaceutical Design, 22(39), 5887-5898. https://doi.org/10.2174/1381612822666160715132233
Grimaldi, A. D., Maki, T., Fitton, B. P., Roth, D., Yampolsky, D., Davidson, M. W., Svitkina, T., Straube, A., Hayashi, I., & Kaverina, I. (2014). CLASPs are required for proper microtubule localization of end-binding proteins. Developmental Cell, 30(3), 343-352. https://doi.org/10.1016/j.devcel.2014.06.026
Hao, H., Niu, J., Xue, B., Su, Q. P., Liu, M., Yang, J., Qin, J., Zhao, S., Wu, C., & Sun, Y. (2020). Golgi-associated microtubules are fast cargo tracks and required for persistent cell migration. EMBO Reports, 21(3), e48385. https://doi.org/10.15252/embr.201948385
Howlader, N., Noone, A., Krapcho, M., Miller, D., Brest, A., Yu, M., Ruhl, J., Tatalovich, Z., Mariotto, A., Lewis, D., Chen, H., Feuer, E., & Cronin, K. (2020). SEER cancer statistics review, 1975-2018. National Cancer Institute. https://seer.cancer.gov/csr/1975_2018/index.html
Joyce, J. A., & Pollard, J. W. (2009). Microenvironmental regulation of metastasis. Nature Reviews. Cancer, 9(4), 239-252. https://doi.org/10.1038/nrc2618
Kellokumpu, S. (2019). Golgi pH, ion and redox homeostasis: How much do they really matter? Frontiers in Cell and Developmental Biology, 7, 93. https://doi.org/10.3389/fcell.2019.00093
Kellokumpu, S., Sormunen, R., & Kellokumpu, I. (2002). Abnormal glycosylation and altered Golgi structure in colorectal cancer: Dependence on intra-Golgi pH. FEBS Letters, 516(1-3), 217-224. https://doi.org/10.1016/s0014-5793(02)02535-8
Lim, S., Nam, H., & Jeon, J. S. (2018). Chemotaxis model for breast cancer cells based on signal/noise ratio. Biophysical Journal, 115(10), 2034-2043. https://doi.org/10.1016/j.bpj.2018.09.028
Luchsinger, C., Aguilar, M., Burgos, P. V., Ehrenfeld, P., & Mardones, G. A. (2018). Functional disruption of the Golgi apparatus protein ARF1 sensitizes MDA-MB-231 breast cancer cells to the antitumor drugs actinomycin D and vinblastine through ERK and AKT signaling. PLoS One, 13(4), e0195401. https://doi.org/10.1371/journal.pone.0195401
Mukherjee, D., & Zhao, J. (2013). The role of chemokine receptor CXCR4 in breast cancer metastasis. American Journal of Cancer Research, 3(1), 46-57.
Nelson, M. T., Short, A., Cole, S. L., Gross, A. C., Winter, J., Eubank, T. D., & Lannutti, J. J. (2014). Preferential, enhanced breast cancer cell migration on biomimetic electrospun nanofiber “cell highways”. BioMed Central Cancer, 14, 825. https://doi.org/10.1186/1471-2407-14-825
Nieman, M. T., Prudoff, R. S., Johnson, K. R., & Wheelock, M. J. (1999). N-cadherin promotes motility in human breast cancer cells regardless of their E-cadherin expression. The Journal of Cell Biology, 147(3), 631-644. https://doi.org/10.1083/jcb.147.3.631
Ochoa, C. D., Stevens, T., & Balczon, R. (2011). Cold exposure reveals two populations of microtubules in pulmonary endothelia. American Journal of Physiology-Lung Cellular and Molecular Physiology, 300(1), L132-L138. https://doi.org/10.1152/ajplung.00185.2010
Petrosyan, A. (2019). Unlocking Golgi: Why does morphology matter? Biochemistry, 84(12), 1490-1501. https://doi.org/10.1134/S0006297919120083
Price, J. T., Tiganis, T., Agarwal, A., Djakiew, D., & Thompson, E. W. (1999). Epidermal growth factor promotes MDA-MB-231 breast cancer cell migration through a phosphatidylinositol 3′-kinase and phospholipase C-dependent mechanism. Cancer Research, 59(21), 5475-5478.
Sanders, A., & Kaverina, I. (2015). Nucleation and dynamics of Golgi-derived microtubules. Frontiers in Neuroscience, 9, 431. https://doi.org/10.3389/fnins.2015.00431
Sanders, A. A. W. M., Chang, K., Zhu, X., Thoppil, R. J., Holmes, W. R., & Kaverina, I. (2017). Nonrandom γ-TuNA-dependent spatial pattern of microtubule nucleation at the Golgi. Molecular Biology of the Cell, 28(23), 3181-3192. https://doi.org/10.1091/mbc.E17-06-0425
Schindler, M., Grabski, S., Hoff, E., & Simon, S. M. (1996). Defective pH regulation of acidic compartments in human breast cancer cells (MCF-7) is normalized in adriamycin-resistant cells (MCF-7adr). Biochemistry, 35(9), 2811-2817. https://doi.org/10.1021/bi952234e
Thoppil, R. J., Sanders, A. A. W. M., & Kaverina, I. (2020). Detection of microtubule nucleation hotspots at the Golgi. Methods in Molecular Biology, 2101, 179-189. https://doi.org/10.1007/978-1-0716-0219-5_12
Tsai, W.-H. (1985). Moment-preserving thresolding: A new approach. Computer Vision, Graphics, and Image Processing, 29(3), 377-393. https://doi.org/10.1016/0734-189X(85)90133-1
Vinogradova, T., Paul, R., Grimaldi, A. D., Loncarek, J., Miller, P. M., Yampolsky, D., Magidson, V., Khodjakov, A., Mogilner, A., & Kaverina, I. (2012). Concerted effort of centrosomal and Golgi-derived microtubules is required for proper Golgi complex assembly but not for maintenance. Molecular Biology of the Cell, 23(5), 820-833. https://doi.org/10.1091/mbc.E11-06-0550
World Health Organization (WHO). (2021, March 21). Breast cancer fact sheet. https://www.who.int/news-room/fact-sheets/detail/breast-cancer
Zhu, X., & Kaverina, I. (2011). Quantification of asymmetric microtubule nucleation at subcellular structures. Methods in Molecular Biology, 777, 235-244. https://doi.org/10.1007/978-1-61779-252-6_17

Auteurs

Laura A Zahn (LA)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Sarah Lundin-Schiller (S)

Department of Biology, Austin Peay State University, Clarksville, Tennessee, USA.

Classifications MeSH