• Printed Journal
  • Indexed Journal
  • Peer Reviewed Journal
Journal of Applied Science & Engineering

Dhaka University Journal of Applied Science & Engineering

Issue: Vol. 7, No. 1, January 2022
Title: Application of Image Analysis to Establish Potential Relationship between Intracellular Interaction and Cell Migration Behavior
Authors:
  • Tanvir Ahmed
    Department of Applied Chemistry and Chemical Engineering, University of Dhaka, Dhaka, Bangladesh
  • Muhammad Shafiul Munir
    Department of Chemical Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
  • Shoeb Ahmed
    Department of Chemical Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
DOI:
Keywords: cell signalling; cell activity; MATLAB; PI3-Kinase
Abstract:

In order to predict the movement and behavior of important cellular components computational language-based image processing approach caters a lot more than the traditional approaches. In this study, a relation of PI3K protein activity during cell migration has been evaluated using MATLAB based custom coding as an image analysis tool. Cells were imaged under fluorescence microscope to detect the PI3-Kinase activity in tandem with the morphological changes. Several cell movement metrics were assessed, indicating protein activity localization. Different parametric analysis confirms that cell migration is essentially controlled by the peripheral activity rather than the overall cell activity. A quantitative relationship has been proposed as a function of high intensity region area, intensity, and angle of movement, which fit 85% of total cellular responses. Customized analysis at intracellular cellular level has the potential to reveal some fine detail that eventually could contribute to the research on the critical diseases like cancer.

References:
  1. D. Bong, K. Lai, and A. Joseph, “Automatic Road Network Recognition and Extraction for Urban Planning,” International Science Index, Civil and Environmental Engineering, vol. 3, no. 5, pp. 205–212, 2009.
  2. M. C. Weiger, S. Ahmed, E. S. Welf, and J. M. Haugh, “Directional persistence of cell migration coincides with stability of asymmetric intracellular signaling,” Biophysical Journal, vol. 98, no. 1, pp. 67–75, 2010, doi: 10.1016/j.bpj.2009.09.051.
  3. S. Ahmed et al., “Poly(vinylmethylsiloxane) elastomer networks as functional materials for cell adhesion and migration studies,” Biomacromolecules, vol. 12, no. 4, pp. 1265–1271, 2011, doi: 10.1021/bm101549y.
  4. K. K. L. Wong, Z. Sun, J. Tu, S. G. Worthley, J. Mazumdar, and D. Abbott, “Medical image diagnostics based on computer-aided flow analysis using magnetic resonance images,” Computerized Medical Imaging and Graphics, vol. 36, no. 7, pp. 527–541, 2012, doi: 10.1016/j.compmedimag.2012.04.003.
  5. M. Waseem Khan, “A Survey: Image Segmentation Techniques,” International Journal of Future Computer and Communication, vol. 3, no. 2, pp. 89–93, 2014, doi: 10.7763/ijfcc.2014.v3.274.
  6. T. Ahmed, M. S. Munir, and S. Ahmed, “Segmentation-based Image Analysis Tool for Surveying and Statistical Applications,” International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 11, no. 2, pp. 25–32, 2018, doi: 10.14257/ijsip.2018.11.2.03.
  7. J. Rittscher, “Characterization of biological processes through automated image analysis,” Annual Review of Biomedical Engineering, vol. 12, no. 1, pp. 315–344, 2010, doi: 10.1146/annurev-bioeng-070909-105235
  8. N. Sharma et al., “Automated medical image segmentation techniques,” Journal of Medical Physics, vol. 35, no. 1, pp. 3–14, 2010, doi: 10.4103/0971-6203.58777.
  9. F. P. M. Oliveira and J. M. R. S. Tavares, “Medical image registration: A review,” Computer Methods in Biomechanics and Biomedical Engineering, vol. 17, no. 2, pp. 73–93, 2014, doi: 10.1080/10255842.2012.670855.
  10. L. Thomas, H. R. Byers, J. Vink, and I. Stamenkovic, “CD44H regulates tumor cell migration on hyaluronate-coated substrate,” Journal of Cell Biology, vol. 118, no. 4, pp. 971–977, 1992, doi: 10.1083/jcb.118.4.971
  11. E. S. Welf, S. Ahmed, H. E. Johnson, A. T. Melvin, and J. M. Haugh, “Migrating fibroblasts reorient directionality: By a metastable, PI3K-dependent mechanism,” Journal of Cell Biology, vol. 197, no. 1, pp. 105–114, 2012, doi: 10.1083/jcb.201108152.
  12. R. T. Böttcher and C. Niehrs, “Fibroblast growth factor signaling during early vertebrate development,” Endocrine Reviews, vol. 26, no. 1, pp. 63–77, 2005, doi: 10.1210/er.2003-0040.
  13. C. Migration et al., “Migration 101 - An Introduction to Cell Migration,” 2014. http://www.cellmigration.org/science/
  14. I. C. Schneider and J. M. Haugh, “Spatial Analysis of 3′ Phosphoinositide Signaling in Living Fibroblasts: II. Parameter Estimates for Individual Cells from Experiments,” Biophysical Journal, vol. 86, no. 1 I, pp. 599–608, 2004, doi: 10.1016/S0006-3495(04)74138-7
  15. A. T. Sasaki and R. A. Firtel, “Regulation of chemotaxis by the orchestrated activation of Ras, PI3K, and TOR,” European Journal of Cell Biology, vol. 85, no. 9–10, pp. 873–895, 2006, doi: 10.1016/j.ejcb.2006.04.007
  16. T. Brock, “ The PI3K Pathway: Fast Forward for Cancer,” 2009. https://www.caymanchem.com/news/the-pi3k-pathway-fast-forward-for-cancer
  17. S. A. Eccles, “Parallels in invasion and angiogenesis provide pivotal points for therapeutic intervention,” International Journal of Developmental Biology, vol. 48, no. 5–6, pp. 583–598, 2004, doi: 10.1387/ijdb.041820se.
  18. P. Martin and S. M. Parkhurst, “Parallels between tissue repair and embryo morphogenesis,” Development, vol. 131, no. 13, pp. 3021–3034, 2004, doi: 10.1242/dev.01253
  19. R. J. Petrie, A. D. Doyle, and K. M. Yamada, “Random versus directionally persistent cell migration,” Nature Reviews Molecular Cell Biology, vol. 10, no. 8, pp. 538–549, 2009, doi: 10.1038/nrm2729.
  20. N. Dey, P. De, and B. Leyland-Jones, “PI3K-AKT-mTOR inhibitors in breast cancers: From tumor cell signaling to clinical trials,” Pharmacology and Therapeutics, vol. 175, pp. 91–106, 2017, doi: 10.1016/j.pharmthera.2017.02.037.
  21. M. K. Ediriweera, K. H. Tennekoon, and S. R. Samarakoon, “Role of the PI3K/AKT/mTOR signaling pathway in ovarian cancer: Biological and therapeutic significance,” Seminars in Cancer Biology, vol. 59, pp. 147–160, 2019, doi: 10.1016/j.semcancer.2019.05.012.
  22. E.-J. Jung, J. H. Suh, W. H. Kim, and H. S. Kim, “Clinical significance of PI3K/Akt/mTOR signaling in gastric carcinoma.,” International journal of clinical and experimental pathology, vol. 13, no. 5, pp. 995–1007, 2020.
  23. S. Matsuda, Y. Ikeda, M. Murakami, Y. Nakagawa, A. Tsuji, and Y. Kitagishi, “Roles of PI3K/AKT/GSK3 Pathway Involved in Psychiatric Illnesses,” Diseases, vol. 7, no. 1. p. 22, 2019. doi: 10.3390/diseases7010022.
  24. A. Huttenlocher, “Cell polarization mechanisms during directed cell migration,” Nature Cell Biology, vol. 7, no. 4, pp. 336–337, 2005, doi: 10.1038/ncb0405-336
  25. V. Kölsch, P. G. Charest, and R. A. Firtel, “The regulation of cell motility and chemotaxis by phospholipid signaling,” Journal of Cell Science, vol. 121, no. 5, pp. 551–559, 2008, doi: 10.1242/jcs.023333
  26. S. P. Palecek, J. C. Loftust, M. H. Ginsberg, D. A. Lauffenburger, and A. F. Horwitz, “Integrin-ligand binding properties govern cell migration speed through cell-substratum adhesiveness,” Nature, vol. 385, no. 6616, pp. 537–540, 1997, doi: 10.1038/385537a0
  27. S. L. Gupton and C. M. Waterman-Storer, “Spatiotemporal Feedback between Actomyosin and Focal-Adhesion Systems Optimizes Rapid Cell Migration,” Cell, vol. 125, no. 7, pp. 1361–1374, 2006, doi: 10.1016/j.cell.2006.05.029
  28. T. Söllradl, K. Chabot, U. Fröhlich, M. Canva, P. G. Charette, and M. Grandbois, “Monitoring individual cell-signaling ac-tivity using combined metal-clad waveguide and surface-en-hanced fluorescence imaging,” Analyst, vol. 143, no. 22, pp. 5559–5567, 2018, doi: 10.1039/c8an00911b
  29. Q. Ni, S. Mehta, and J. Zhang, “Live-cell imaging of cell sig-naling using genetically encoded fluorescent reporters,” FEBS Journal, vol. 285, no. 2, pp. 203–219, 2018, doi: 10.1111/febs.14134
  30. D. Axelrod, N. L. Thompson, and T. P. Burghardt, “Total in-ternal reflection fluorescent microscopy,” Journal of Micros-copy, vol. 129, no. 1, pp. 19–28, 1983, doi: 10.1111/j.1365-2818.1983.tb04158.x
  31. D. Axelrod, “Total internal reflection fluorescence microscopy in cell biology,” Traffic, vol. 2, no. 11, pp. 764–774, 2001, doi: 10.1034/j.1600-0854.2001.21104.x
  32. J. A. Steyer and W. Almers, “A real-time view of life with-in 100 NM of the plasma membrane,” Nature Reviews Mo-lecular Cell Biology, vol. 2, no. 4, pp. 268–275, 2001, doi: 10.1038/35067069
  33. N. C. Shaner, P. A. Steinbach, and R. Y. Tsien, “A guide to choosing fluorescent proteins,” Nature Methods, vol. 2, no. 12, pp. 905–909, 2005, doi: 10.1038/nmeth819
  34. N. C. Shaner, G. H. Patterson, and M. W. Davidson, “Advances in fluorescent protein technology,” Journal of Cell Science, vol. 120, no. 24, pp. 4247–4260, 2007, doi: 10.1242/jcs.005801
  35. A. R. Houket al., “Membrane tension maintains cell polari-ty by confining signals to the leading edge during neutrophil migration,” Cell, vol. 148, no. 1–2, pp. 175–188, 2012, doi: 10.1016/j.cell.2011.10.050.