Literature DB >> 24512713

Mathematical modeling of regenerative processes.

Osvaldo Chara1, Elly M Tanaka2, Lutz Brusch3.   

Abstract

In many animals, regenerative processes can replace lost body parts. Organ and tissue regeneration consequently also hold great medical promise. The regulation of regenerative processes is achieved through concerted actions of multiple organizational levels of the organism, from diffusing molecules and cellular gene expression patterns up to tissue mechanics. Our intuition is usually not adapted well to this degree of complexity and the quantitative aspects of the regulation of regenerative processes remain poorly understood. One way out of this dilemma lies in the combination of experimentation and mathematical modeling within an iterative process of model development/refinement, model predictions for novel experimental conditions, quantitative experiments testing these predictions, and subsequent model refinement. This interdisciplinary approach has already provided key insights into smaller scale processes during embryonic development and a so-far limited number of more complex regeneration processes. This review discusses selected theoretical and interdisciplinary studies and is structured along the three phases of regeneration: (1) initiation of a regeneration response, (2) tissue patterning during regenerate growth, (3) arresting the regeneration response. Moreover, we highlight the opportunities provided by extensions of mathematical models from developmental processes toward the study of related regenerative processes.
© 2014 Elsevier Inc. All rights reserved.

Keywords:  Computational biology; In silico model; Mathematical model; Regeneration; Simulation; Systems biology

Mesh:

Year:  2014        PMID: 24512713     DOI: 10.1016/B978-0-12-391498-9.00011-5

Source DB:  PubMed          Journal:  Curr Top Dev Biol        ISSN: 0070-2153            Impact factor:   4.897


  11 in total

1.  A dynamically diluted alignment model reveals the impact of cell turnover on the plasticity of tissue polarity patterns.

Authors:  Karl B Hoffmann; Anja Voss-Böhme; Jochen C Rink; Lutz Brusch
Journal:  J R Soc Interface       Date:  2017-10       Impact factor: 4.118

2.  Spatiotemporal control of cell cycle acceleration during axolotl spinal cord regeneration.

Authors:  Emanuel Cura Costa; Leo Otsuki; Aida Rodrigo Albors; Elly M Tanaka; Osvaldo Chara
Journal:  Elife       Date:  2021-05-14       Impact factor: 8.140

3.  Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cells.

Authors:  Robert Law; Michael Levin
Journal:  Theor Biol Med Model       Date:  2015-10-15       Impact factor: 2.432

4.  Accelerated cell divisions drive the outgrowth of the regenerating spinal cord in axolotls.

Authors:  Fabian Rost; Aida Rodrigo Albors; Elly M Tanaka; Osvaldo Chara; Vladimir Mazurov; Lutz Brusch; Andreas Deutsch
Journal:  Elife       Date:  2016-11-25       Impact factor: 8.140

Review 5.  Multimodal treatment for spinal cord injury: a sword of neuroregeneration upon neuromodulation.

Authors:  Ya Zheng; Ye-Ran Mao; Ti-Fei Yuan; Dong-Sheng Xu; Li-Ming Cheng
Journal:  Neural Regen Res       Date:  2020-08       Impact factor: 5.135

Review 6.  Regenerative medicine meets mathematical modelling: developing symbiotic relationships.

Authors:  S L Waters; L J Schumacher; A J El Haj
Journal:  NPJ Regen Med       Date:  2021-04-12

Review 7.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

8.  Size-Regulated Symmetry Breaking in Reaction-Diffusion Models of Developmental Transitions.

Authors:  Jake Cornwall Scoones; Deb Sankar Banerjee; Shiladitya Banerjee
Journal:  Cells       Date:  2020-07-09       Impact factor: 6.600

9.  Minimal Developmental Computation: A Causal Network Approach to Understand Morphogenetic Pattern Formation.

Authors:  Santosh Manicka; Michael Levin
Journal:  Entropy (Basel)       Date:  2022-01-10       Impact factor: 2.524

10.  Size matters: tissue size as a marker for a transition between reaction-diffusion regimes in spatio-temporal distribution of morphogens.

Authors:  Alberto S Ceccarelli; Augusto Borges; Osvaldo Chara
Journal:  R Soc Open Sci       Date:  2022-01-26       Impact factor: 2.963

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.