On the Influence of Phenotype Plasticity on Genotype Diversity

Author(s):  
Ingo Paenke ◽  
Jurgen Branke ◽  
Yaochu Jin
Biomolecules ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 449
Author(s):  
Vladimír Čermák ◽  
Aneta Škarková ◽  
Ladislav Merta ◽  
Veronika Kolomazníková ◽  
Veronika Palušová ◽  
...  

Melanoma phenotype plasticity underlies tumour dissemination and resistance to therapy, yet its regulation is incompletely understood. In vivo switching between a more differentiated, proliferative phenotype and a dedifferentiated, invasive phenotype is directed by the tumour microenvironment. We found that treatment of partially dedifferentiated, invasive A375M2 cells with two structurally unrelated p38 MAPK inhibitors, SB2021920 and BIRB796, induces a phenotype switch in 3D collagen, as documented by increased expression of melanocyte differentiation markers and a loss of invasive phenotype markers. The phenotype is accompanied by morphological change corresponding to amoeboid–mesenchymal transition. We performed RNA sequencing with an Illumina HiSeq platform to fully characterise transcriptome changes underlying the switch. Gene expression results obtained with RNA-seq were validated by comparing them with RT-qPCR. Transcriptomic data generated in the study will extend the present understanding of phenotype plasticity in melanoma and its contribution to invasion and metastasis.


2010 ◽  
Vol 16 (10) ◽  
pp. 1630-1632 ◽  
Author(s):  
Wen Zhang ◽  
Yilin He ◽  
Hua Wang ◽  
Quan Shen ◽  
Li Cui ◽  
...  

2012 ◽  
Vol 27 (2) ◽  
pp. 74-78 ◽  
Author(s):  
E. I. Eremenko ◽  
A. G. Ryazanova ◽  
O. I. Tsygankova ◽  
E. A. Tsygankova ◽  
N. P. Buravtseva ◽  
...  

2020 ◽  
Vol 123 ◽  
pp. 104248 ◽  
Author(s):  
Daniel Hungerford ◽  
Khuzwayo C. Jere ◽  
Naor Bar-Zeev ◽  
John P. Harris ◽  
Nigel A. Cunliffe ◽  
...  

2021 ◽  
Author(s):  
Sweeney Luis

In this thesis, we design a method that uses Ant Colonies as a Model-based Search to Cartesian Genetic Programming (CGP) to induce computer programs. Candidate problem solutions are encoded using a CGP representation. Ants generate problem solutions guided by pheromone traces of entities and nodes of the CGP representation. The pheromone values are updated based on the paths followed by the best ants, as suggested in the Rank-Based Ant System (ASrank). To assess the evolvability of the system we applied a modified version of the method introduced in [1] to measure rate of evolution which considers variability and neutrality as the major influences in the evolution of a system. Our results show that such method effectively reveals how evolution proceeds under different parameter settings and different environmental scenarios. The proposed hybrid architecture shows high evolvability in a dynamic environment by maintaining a pheromone model that elicits high genotype diversity.


2021 ◽  
Author(s):  
Sweeney Luis

In this thesis, we design a method that uses Ant Colonies as a Model-based Search to Cartesian Genetic Programming (CGP) to induce computer programs. Candidate problem solutions are encoded using a CGP representation. Ants generate problem solutions guided by pheromone traces of entities and nodes of the CGP representation. The pheromone values are updated based on the paths followed by the best ants, as suggested in the Rank-Based Ant System (ASrank). To assess the evolvability of the system we applied a modified version of the method introduced in [1] to measure rate of evolution which considers variability and neutrality as the major influences in the evolution of a system. Our results show that such method effectively reveals how evolution proceeds under different parameter settings and different environmental scenarios. The proposed hybrid architecture shows high evolvability in a dynamic environment by maintaining a pheromone model that elicits high genotype diversity.


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