Abstract
The Arnaoutova-Kleinman model is simulated in an entire scenario of Classical Electrodynamics. For this end the 4-steps are considered: (i) The migration of endothelial cells, (ii) the random attachment among them, (iii) the apparition of bFGF proteins generating electrical and lines fields, and (iv) the tubule formation from these proteins. Simulations have shown that tubule formation as the one of the first phases of Angiogenesis would require large values of electric field and a fast adhesion of bFGF proteins to produce stable lines of electric field. On the other hand, tubular formation can also be stopped through external fields that might cancel the adhesion of proteins. Therefore prospective nano devices would play a relevant role to avoid first phases of tumor formation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Piasentin, N., Milotti, E., Chignola, R.: The control of acidity in tumor cells: a biophysical model. Sci. Rep. 10, 13613 (2020)
Carmeliet, P.: Mechanisms of angiogenesis and arteriogenesis. Nat. Med. 6, 389–395 (2000)
Nieto-Chaupis, H.: Electrodynamics-based nanosensor to identify and detain angiogenesis in the very beginning of cancer. In: IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) (2019)
Cho, D.-I.D., Yoo, H.J.: Microfabrication methods for biodegradable polymeric carriers for drug delivery system applications: a review. J. Microelectromech. Syst. 24(1), 10–18 (2015)
Nieto-Chaupis, H.: Probabilistic theory of efficient internalization of nanoparticles at targeted drug delivery strategies. In: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (2020)
Arnaoutova, I., Kleinman, H.K.: In vitro angiogenesis: endothelial cell tube formation on gelled basement membrane extract. Nat. Protoc. 5(4), 628–635 (2010)
Arnaoutova, I., George, J., Kleinman, H.K., Benton, G.: The endothelial cell tube formation assay on basement membrane turns 20: state of the science and the art. Angiogenesis 12(3), 267–274 (2009). https://doi.org/10.1007/s10456-009-9146-4
Kim, H.S.: Assignment1 of the human basic fibroblast growth factor gene FGF2 to chromosome 4 band q26 by radiation hybrid mapping. Cytogenet. Cell Genet. 83(1–2), 73 (1998)
Burgess, W.H., Maciag, T.: The heparin-binding (fibroblast) growth factor family of proteins. Ann. Rev. Biochem. 58, 575–606 (1989). ibid Liang, H., Peng, B., Dong, C., et al. Cationic nanoparticle as an inhibitor of cell-free DNA-induced inflammation. Nat Commun 9, 4291 (2018)
Jackson, J.D.: Classical Electrodynamics, 2nd edn. Wiley, New York (1975)
Liu, B., Poolman, B., Boersma, A.J.: Ionic strength sensing in living cells. ACS Chem. Biol. 12, 2510–2514 (2017)
Gitlin, I., Carbeck, J.D., Whitesides, G.M.: Why are proteins charged? Networks of charge charge interactions in proteins measured by charge ladders and capillary electrophoresis. Angew. Chem. Int. Ed. 45, 3022–3060 (2006)
Nieto-Chaupis, H.: Nano currents and the beginning of renal damage: a theoretical model. In: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
Wolfram Mathematica. www.wolfram.com
Akyildiz, I.F., Pierobon, M., Balasubramaniam, S., Koucheryavy, Y.: The internet of Bio-Nano things. In: IEEE Commun. Mag. 53(3) (2015). ibid Chun Tung Chou, Extended master equation models for molecular communication networks. In: IEEE Transactions on NanoBioscience, Volume: 12, Issue: 2, 2013
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Nieto-Chaupis, H. (2022). Simulating the Arnaoutova-Kleinman Model of Tubular Formation at Angiogenesis Events Through Classical Electrodynamics. In: Arai, K. (eds) Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-031-10461-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-031-10461-9_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-10460-2
Online ISBN: 978-3-031-10461-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)