Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 in silico Network Challenge

Author(s):  
Hyonho Chun ◽  
Jia Kang ◽  
Xianghua Zhang ◽  
Minghua Deng ◽  
Haisu Ma ◽  
...  
2019 ◽  
pp. 1-4
Author(s):  
Tikam Chand ◽  
Tikam Chand

Having role in gene regulation and silencing, miRNAs have been implicated in development and progression of a number of diseases, including cancer. Herein, I present potential miRNAs associated with BAP1 gene identified using in-silico tools such as TargetScan and Exiqon miRNA Target Prediction. I identified fifteen highly conserved miRNA (hsa-miR-423-5p, hsa-miR-3184-5p, hsa-miR-4319, hsa-miR125b-5p, hsa-miR-125a-5p, hsa-miR-6893-3p, hsa-miR-200b-3p, hsa-miR-200c-3p, hsa-miR-505-3p.1, hsa-miR-429, hsa-miR-370-3p, hsa-miR-125a-5p, hsa-miR-141-3p, hsa-miR-200a-3p, and hsa-miR-429) associated with BAP1 gene. We also predicted the differential regulation of these twelve miRNAs in different cancer types.


2007 ◽  
Vol 17 (10) ◽  
pp. 3507-3511 ◽  
Author(s):  
JAVIER M. BULDÚ ◽  
JORDI GARCÍA-OJALVO ◽  
ALEXANDRE WAGEMAKERS ◽  
MIGUEL A. F. SANJUÁN

We propose the use of nonlinear electronic circuits to study synthetic gene regulation networks. Specifically, we have designed two electronic versions of a synthetic genetic clock, known as the "repressilator," making use of appropriate electronic elements linked in the same way as the original biochemical system. We study the effects of coupling in a population of electronic repressilators, with the aim of observing coherent oscillations of the whole population. With these results, we show that this kind of nonlinear circuits can be helpful in the design and understanding of synthetic genetic networks.


2007 ◽  
Vol 1115 (1) ◽  
pp. 73-89 ◽  
Author(s):  
D. CAMACHO ◽  
P. VERA LICONA ◽  
P. MENDES ◽  
R. LAUBENBACHER

Biometrics ◽  
2017 ◽  
Vol 73 (4) ◽  
pp. 1231-1242 ◽  
Author(s):  
Yunlong Nie ◽  
LiangLiang Wang ◽  
Jiguo Cao

2009 ◽  
Vol 8 (1) ◽  
pp. 30-45 ◽  
Author(s):  
Somkid Intep ◽  
Desmond J. Higham ◽  
Xuerong Mao

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