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Use of Doubling Number as an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition

Year 2024, , 30 - 42, 01.03.2024
https://doi.org/10.35378/gujs.1244209

Abstract

Cell growth inhibition is generally handled as a measure of toxicity. Shortly, more toxicity implies more growth inhibition. Then, the question arises; How to calculate & evaluate cell growth inhibition in a universal manner? Actually, the method for calculating growth inhibition is not considered to be a central issue, in general. There are various approaches (subtractive, divisionary, and logarithmic) for calculating cell growth. Among these approaches, two of them are highly easy and popular, subtraction-based and division-based calculations. However, these two methods for the calculation of cell growth do not strongly reflect the nature of cell growth. Alternatively, the use of a doubling number-based formulation can provide a better approach and performance in the evaluation of cell growth and cell growth inhibition unless the culture attains the confluent status. Here, we discussed different methods of growth calculation which we applied to the study of “growth inhibition of BY-2 cells under Cd exposure”.

Supporting Institution

MEXT (Japan)

References

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  • [20] Cuypers, A., Vanbuel, I., Iven, V., Kunnen, K., Vandionant, S., Huybrechts, M., Hendrix, S., “Cadmium-induced oxidative stress responses and acclimation in plants require fine-tuning of redox biology at subcellular level”, Free Radical Biology and Medicine, (2023).
  • [21] Wu, H., Zheng, S., Zhang, J., Xu, S., and Miao, Z., “Cadmium induces endoplasmic reticulum stress-mediated apoptosis in pig pancreas via the increase of Th1 cells”, Toxicology, 457: 152790, (2020).
  • [22] Zhao, R., Yu, Q., Hou, L., Dong, X., Zhang, H., Chen, X., Zhoua, Z., Maa, J., Huang S. and Chen, L., “Cadmium induces mitochondrial ROS inactivation of XIAP pathway leading to apoptosis in neuronal cells”, The International Journal of Biochemistry & Cell Biology, 121: 105715, (2020).
  • [23] Bertin, G. and Averbeck, D., “Cadmium: cellular effects, modifications of biomolecules, modulation of DNA repair and genotoxic consequences (a review)”, Biochimie, 88: 1549–1559, (2006).
  • [24] Murashige, T. and Skoog, F., “A revised medium for rapid growth and bio assays with tobacco tissue cultures”, Physiologia Plantarum, 15: 473-97, (1962).
  • [25] Nusch, E., “Evaluation of growth curves in bioassays”, ISO/TC 147, (1982).
  • [26] Nyholm, N., “Response variable in algal growth inhibition tests—biomass or growth rate?”, Water Research, 19: 273–279, (1985).
  • [27] Nyholm, N., “Expression of results from growth inhibition toxicity tests with algae”, Archives of Environmental Contamination and Toxicology, 19: 518–522, (1990).
  • [28] Schubert, J., “Formulation of cell growth inhibition by chemicals and environmental agents”, Microbiology, 64: 37–40, (1970).
Year 2024, , 30 - 42, 01.03.2024
https://doi.org/10.35378/gujs.1244209

Abstract

References

  • [1] Li, Q., Dai, W., Liu, J., Li, Y.-X. and Li, Y.-Y., “DRAP: a toolbox for drug response analysis and visualization tailored for preclinical drug testing on patient-derived xenograft models”, Journal of Translational Medicine, 17: 1–9, (2019).
  • [2] Manimaran, K., Karthikeyan, P., Ashokkumar, S., Ashok Prabu, V. and Sampathkumar, P., “Effect of copper on growth and enzyme activities of marine diatom, Odontella mobiliensis”, Bulletin of Environmental Contamination and Toxicology, 88: 30–37, (2012).
  • [3] Zou, J., Liu Y., Wang, J., Liu, Z., Lu, Z., Chen, Z., Li, Z., Dong, B., Huang, W., Li, Y., Gao, J. and She, L., “Establishment and genomic characterizations of patient-derived esophageal squamous cell carcinoma xenograft models using biopsies for treatment optimization”, Journal of Translational Medicine, 16: 1–11, (2018).
  • [4] Houghton, P.J., Morton, C.L., Tucker, C., Payne, D., Favours, E., Cole, C., Gorlick, R., Kolb, E. A., Zhang, W., Lock, R., Carol, H., Tajbakhsh, M., Reynolds, C.P., Maris, J.M., Courtright, J., Keir, S.T., Friedman, H.S., Stopford, C., Zeidner, J., Wu, J., Liu, T., Billups, C.A., Khan, J., Ansher, S., Zhang, J. and Smith, M.A., “The pediatric preclinical testing program: description of models and early testing results”, Pediatric Blood & Cancer, 49: 928–940, (2007).
  • [5] Tsukihara, H., Nakagawa, F., Sakamoto, K., Ishida, K., Tanaka, N., Hiroyuki, O., Junji, U., Kenichi, M., Takechi, T., “Efficacy of combination chemotherapy using a novel oral chemotherapeutic agent, TAS-102, together with bevacizumab, cetuximab, or panitumumab on human colorectal cancer xenografts”, Oncology Reports, 33: 2135–2142, (2015).
  • [6] Segeritz, C.P. and Vallier, L., “Cell culture: Growing cells as model systems in vitro”, Basic Science Methods for Clinical Researchers, 151-172, (2017).
  • [7] Kadono, T., Yamaguchi, Y., Furuichi, T., Hirono, M., Garrec, J.P. and Kawano, T., “Ozone-induced cell death mediated with oxidative and calcium signaling pathways in tobacco Bel-W3 and Bel-B cell suspension cultures”, Plant Signaling & Behavior, 1: 312-22, (2006).
  • [8] Jia, R. and Wang, C., “MiR-29b-3p reverses cisplatin resistance by targeting COL1A1 in non-small-cell lung cancer A549/DDP cells”, Cancer Management and Research, 12: 2559, (2020)
  • [9] Prabha, N., Sannasimuthu, A., Kumaresan, V., Elumalai, P. and Arockiaraj, J. “Intensifying the anticancer potential of cationic peptide derived from serine threonine protein kinase of teleost by tagging with oligo tryptophan”, International Journal of Peptide Research and Therapeutics, 26: 75-83, (2020)
  • [10] Jiang, H., Yang, J., Wan, K., Jiang, D. and Jin, C. “Miniaturized paper-supported 3D cell-based electrochemical sensor for bacterial lipopolysaccharide detection”, ACS Sensors, 5: 1325-35, (2020).
  • [11] Hao, M., Li, Z., Huang, X., Wei, X., Zou, X., Shi, J., Huang, Z., Yin, L., Gao, L., Li, Y. and Holmes, M., “A cell-based electrochemical taste sensor for detection of Hydroxy-α-sanshool”, Food Chemistry, 21: 135941, (2023).
  • [12] Kawano, T., “Translating the conway’s game of life as a discrete logistic cellular automata model with density effects”, International Journal of Innovative Computing, Information and Control, 16: 1655–1666, (2020).
  • [13] Ohkawa, H., Takatsuka, C. and Kawano, T., “Hidden Allee effect in photosynthetic organisms”, Communicative & Integrative Biology, 13: 119–127, (2020).
  • [14] Takaichi, H. and Kawano, T., “Expanded and practical use of logistic equations in eco-toxicity evaluation: cases of lethal metal toxicity curves in green paramecia with minimal-sized experiments”, Journal of Advanced Computational Intelligence and Intelligent Informatics, 20: 681–690, (2016).
  • [15] OECD, “Test No. 221: Lemna sp. Growth Inhibition Test”, (2006).
  • [16] Metin, M. and Metin, Ö.K., “Cellular responses of Saccharomyces cerevisiae Against Arsenic”, International Journal of Innovative Approaches in Science Research, 3: 41–52, (2019).
  • [17] Ozturk, M., Metin M., Altay V., De Filippis L., Ünal B.T., Khursheed A., Gul A., Hasanuzzaman M., Nahar K., Kawano T. and Caparrós P.G., “Molecular biology of cadmium toxicity in Saccharomyces cerevisiae”, Biological Trace Element Research, 199: 4832–4846, (2021).
  • [18] Haider, F.U., Liqun, C., Coulter, J.A., Cheema, S.A., Wu, J., Zhang, R., Wenjun, M. and Farooq, M., “Cadmium toxicity in plants: Impacts and remediation strategies”, Ecotoxicology and Environmental Safety, 211: 111887, (2021).
  • [19] Jacobson, T., Priya, S., Sharma, S.K., Andersson, S., Jakobsson, S., Tanghe, R., Ashouri, A., Rauch, S., Goloubinoff, P., Christen, P., Tamás, M.J., “Cadmium causes misfolding and aggregation of cytosolic proteins in yeast”, Molecular and Cellular Biology, 37, e00490-16, (2017).
  • [20] Cuypers, A., Vanbuel, I., Iven, V., Kunnen, K., Vandionant, S., Huybrechts, M., Hendrix, S., “Cadmium-induced oxidative stress responses and acclimation in plants require fine-tuning of redox biology at subcellular level”, Free Radical Biology and Medicine, (2023).
  • [21] Wu, H., Zheng, S., Zhang, J., Xu, S., and Miao, Z., “Cadmium induces endoplasmic reticulum stress-mediated apoptosis in pig pancreas via the increase of Th1 cells”, Toxicology, 457: 152790, (2020).
  • [22] Zhao, R., Yu, Q., Hou, L., Dong, X., Zhang, H., Chen, X., Zhoua, Z., Maa, J., Huang S. and Chen, L., “Cadmium induces mitochondrial ROS inactivation of XIAP pathway leading to apoptosis in neuronal cells”, The International Journal of Biochemistry & Cell Biology, 121: 105715, (2020).
  • [23] Bertin, G. and Averbeck, D., “Cadmium: cellular effects, modifications of biomolecules, modulation of DNA repair and genotoxic consequences (a review)”, Biochimie, 88: 1549–1559, (2006).
  • [24] Murashige, T. and Skoog, F., “A revised medium for rapid growth and bio assays with tobacco tissue cultures”, Physiologia Plantarum, 15: 473-97, (1962).
  • [25] Nusch, E., “Evaluation of growth curves in bioassays”, ISO/TC 147, (1982).
  • [26] Nyholm, N., “Response variable in algal growth inhibition tests—biomass or growth rate?”, Water Research, 19: 273–279, (1985).
  • [27] Nyholm, N., “Expression of results from growth inhibition toxicity tests with algae”, Archives of Environmental Contamination and Toxicology, 19: 518–522, (1990).
  • [28] Schubert, J., “Formulation of cell growth inhibition by chemicals and environmental agents”, Microbiology, 64: 37–40, (1970).
There are 28 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Biology
Authors

Mert Metin 0000-0003-3476-1089

Tomonori Kawano 0000-0002-6876-9399

Early Pub Date July 22, 2023
Publication Date March 1, 2024
Published in Issue Year 2024

Cite

APA Metin, M., & Kawano, T. (2024). Use of Doubling Number as an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition. Gazi University Journal of Science, 37(1), 30-42. https://doi.org/10.35378/gujs.1244209
AMA Metin M, Kawano T. Use of Doubling Number as an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition. Gazi University Journal of Science. March 2024;37(1):30-42. doi:10.35378/gujs.1244209
Chicago Metin, Mert, and Tomonori Kawano. “Use of Doubling Number As an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition”. Gazi University Journal of Science 37, no. 1 (March 2024): 30-42. https://doi.org/10.35378/gujs.1244209.
EndNote Metin M, Kawano T (March 1, 2024) Use of Doubling Number as an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition. Gazi University Journal of Science 37 1 30–42.
IEEE M. Metin and T. Kawano, “Use of Doubling Number as an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition”, Gazi University Journal of Science, vol. 37, no. 1, pp. 30–42, 2024, doi: 10.35378/gujs.1244209.
ISNAD Metin, Mert - Kawano, Tomonori. “Use of Doubling Number As an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition”. Gazi University Journal of Science 37/1 (March 2024), 30-42. https://doi.org/10.35378/gujs.1244209.
JAMA Metin M, Kawano T. Use of Doubling Number as an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition. Gazi University Journal of Science. 2024;37:30–42.
MLA Metin, Mert and Tomonori Kawano. “Use of Doubling Number As an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition”. Gazi University Journal of Science, vol. 37, no. 1, 2024, pp. 30-42, doi:10.35378/gujs.1244209.
Vancouver Metin M, Kawano T. Use of Doubling Number as an Arithmetic Measure of Plant Cell Growth and Metal-Induced Cell Growth Inhibition. Gazi University Journal of Science. 2024;37(1):30-42.