Kyushu University Academic Staff Educational and Research Activities Database
Researcher information (To researchers) Need Help? How to update
Hiroshi YOSHIDA Last modified date:2024.04.08



Graduate School
Undergraduate School


Homepage
https://kyushu-u.elsevierpure.com/en/persons/hiroshi-yoshida
 Reseacher Profiling Tool Kyushu University Pure
Academic Degree
Ph. D.
Field of Specialization
Mathematical Biology
Outline Activities
Tissues of animals and plants are maintained through balanced cell growth, movement, and elimination.
Although cells are exchanged perpetually, the whole structure of the tissue is maintained. This form
of maintenance is called cell turnover. I study a bio-inspired model of patterns that regenerate
through turnover by using multivariable polynomials. This model, called "polynomial-life model", is derived from the Dachsous–Fat system, which has recently attracted
much attention because it is considered to facilitate regeneration in insect legs. In this model, I parameterize
the manner of the redistribution of Dachsous and Fat during cell division, and then derived equations
in the parameters that enable the patterns to regenerate and maintain themselves through turnover.
Research
Research Interests
  • A pattern to regenerate through turnover
    keyword : turnover, regenerative field
    2010.01~2022.03.
Academic Activities
Papers
1. Hiroshi Yoshida, A model for analyzing phenomena in multicellular organisms with multivariable polynomials: Polynomial Life, Int. J. Biomath., 11, 1, 1850007, 2018.01.
2. Hiroshi Yoshida, Tetsuya Bando, Taro Mito, Hideyo Ohuchi, Sumihare Noji, An extended steepness model for leg-size determination based on Dachsous/Fat trans-dimer system, Scientific Reports, 10.1038/srep04335, 4, 4335, 2014.03, [URL], What determines organ size has been a long-standing biological question. Lawrence et al. (2008) proposed the steepness hypothesis suggesting that the protocadherin Dachsous/Fat (Ds/Ft) system may provide some measure of dimension to the cells in relation to the gradient. In this paper we extended the model as a means of interpreting experimental results in cricket leg regeneration. We assumed that (1) Ds/Ft trans-heterodimers or trans-homodimers are redistributed during cell division, and (2) growth would cease when a differential of the dimer across each cell decreases to a certain threshold. We applied our model to simulate the results obtained by leg regeneration experiments in a cricket model. The results were qualitatively consistent with the experimental data obtained for cricket legs by RNA interference methodology. Using our extended steepness model, we provided a molecular-based explanation for leg size determination even in intercalary regeneration and for organ size determination..
3. Hiroshi Yoshida, A pattern to regenerate through turnover, Biosystems, 10.1016/j.biosystems.2012.08.001, 110, 43-50, 2012.09, [URL].
4. Hiroshi Yoshida, Yoshihiro Miwa, Masanobu KANEKO, Elliptic curves and Fibonacci numbers arising from Lindenmayer system with Symbolic Computation, Applicable Algebra in Engineering, Communication and Computing, 10.1007/s00200-011-0143-7, 22, 2, 147-164, 2011.04, [URL].
Presentations
1. Hiroshi Yoshida, A model of regenerating patterns using a random-walk model, Moscow Conference on Computational Molecular Biology, 2019.07.
2. Hiroshi Yoshida , A model of regenerating pattern using multivariable polynomials ーーPolynomial Lifeーー, International Conference on Bioinformatics and Systems Biology, 2018.10.
3. 吉田 寛, A model for analyzing phenomena in multicellular organisms with multivariable polynomials, EMBO Conference: From Functional Genomics to Systems Biology, 2016.11.
4. Hiroshi Yoshida, A model towards analysis of regenerating patterns using multivariable polynomials — Polynomial Life —, 21st International Symposium on Artificial Life and Robotics, 2016.01.
5. Hiroshi Yoshida, A model towards multicell-turnover patterns using multivariable polynomials - Polynomial Life, Hybrid Systems Biology, 2015.09.
6. 吉田 寛, Analysis of multicell-turnover patterns with multivariable polynomial modeling, International Conference on Systems Biology 2014, 2014.09.