Computational Neuro-genetic Modelling

2018 ◽  
pp. 545-561
Author(s):  
Nikola K. Kasabov
Keyword(s):  
Genetic Modelling

Genetic Modelling of Greisen-Style Tin Systems

1988 ◽  
pp. 59-72 ◽  
Author(s):  
P. J. Pollard ◽  
R. G. Taylor ◽  
C. Cuff
Keyword(s):  
Genetic Modelling

scholarly journals Successful production of offspring after superovulation and in vitro culture of embryos from domestic ferrets (Mustela putorius furos)

Reproduction ◽  
2001 ◽  
pp. 611-618 ◽  
Author(s):  
ZY Li ◽  
QS Jiang ◽  
YL Zhang ◽  
XM Liu ◽  
JF Engelhardt
Keyword(s):  
Genetic Manipulation ◽  
Blastocyst Stage ◽  
Chorionic Gonadotrophin ◽  
Mustela Putorius ◽  
Cell Stage ◽  
Fetal Bovine ◽  
The One ◽  
Genetic Modelling ◽  
Successful Production

In an effort to expand the use of ferrets as models for genetic disease, several experimental parameters that are required for successful genetic manipulation in this species were investigated. Optimum superovulation (19.3 +/- 0.6 oocytes and embryos per female) was achieved after injections of 100 iu equine chorionic gonadotrophin (eCG) and 150 iu human chorionic gonadotrophin (hCG). The ovulation rate achieved by the treatment was more than double that induced by mating. Mating with a male immediately after hCG treatment did not significantly alter the number of oocytes ovulated or the number of embryos present, indicating that mating is not required for superovulation in ferrets. Of embryos harvested at the one-cell stage, 64.5% and 47.1% developed into blastocysts when cultured in vitro in CZB or TCM-199 plus 10% fetal bovine serum (FBS) media, respectively. In contrast, only 17.1% of embryos cultured in vitro in NCSU-23 developed to the blastocyst stage. Both freshly retrieved and in vitro cultured embryos from cinnamon-coloured parents produced live young when transferred at the eight-cell stage into albino, pseudo-pregnant recipients. The percentage of kits delivered relative to embryos transferred was 61% for freshly retrieved embryos and 32% for embryos cultured in vitro. These results demonstrate successful embryo transfer in ferrets and provide a basis for further study of genetic modelling approaches in this species after embryo manipulation.

CRISPR Cas System: an efficient tool for cancer modelling

2020 ◽  
pp. 1-17
Author(s):  
Mehran Akhtar ◽  
Tazkira Jamal ◽  
Mudassir Khan ◽  
Shah Rukh Khan ◽  
Shohra Haider ◽  
...  
Keyword(s):  
Molecular Genetics ◽  
Cancer Biology ◽  
Cancer Genetics ◽  
Narrative Review ◽  
Research Articles ◽  
Efficient Tool ◽  
Cancer Modelling ◽  
Genetic Modelling

Abstract The Clustered Regularly Interspaced Short Palindromic Repeats–Cas-9 (CRISPR-Cas9) system has been a revolutionising tool in the field of molecular genetics, which provides a versatile range of editing potentials. Researchers can produce breaks or alter genomes with ease using the system. Cancer is one of the multi-gene diseases whose genes need to be studied in detail. The CRISPR-Cas9 technology may also provide a promising potential in the field of cancer genetics. The current narrative review comprised 50 research articles which were keenly analysed and the applications and outcomes of CRISPR-Cas9 system in cancer genetics were comprehensively and critically discussed. It was concluded that application of the system had great potential to help understand cancer biology of various types and could be used for its genetic modelling. However, much work is still needed to be done to apply the technology for understanding...Continuous...  

First-Principles and Genetic Modelling of Precipitation Sequences in Aluminium Alloys

2011 ◽  
Vol 172-174 ◽  
pp. 285-290 ◽  
Author(s):  
Maarten De Jong ◽  
Rangan K. Dutta ◽  
Marcel H. F. Sluiter ◽  
Alexis G. Miroux ◽  
Sybrand van der Zwaag ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
First Principles ◽  
Aluminium Alloys ◽  
Precipitate Size ◽  
Main Role ◽  
Number Density ◽  
Complex Phase ◽  
Stable Species ◽  
The Matrix ◽  
Genetic Modelling

Aluminium alloys display complex phase transitions to achieve their desired properties.Many of these involve elaborated precipitation sequences where the main role is not played by ther-modynamically stable species, but by metastable precipitates instead. An interplay between phasestability, crystal symmetry, diffusion, volume and particle/matrix interfaces sets the pace for the ki-netics. Thermodynamic modelling, which focuses on stable precipitates, is not an aid in describingsuch processes, as it is usually transitional phases that achieve the desired properties. The model pre-sented here combines first--principles to obtain the transition precipitate energetics (both at the bulkand at the interface with the matrix) with thermochemical databases to describe the overall kineticsof stable precipitates. Precipitate size and number density are captured via the Kampmann--Wagnernumerical approach, which is embedded in a genetic algorithm to obtain optimal compositional andheat treatment scenarios for the optimisation of the mechanical properties in aluminium alloys of the 7000 series.

scholarly journals New insights into the endophenotypic status of cognition in bipolar disorder: Genetic modelling study of twins and siblings

2016 ◽  
Vol 208 (6) ◽  
pp. 539-547 ◽  
Author(s):  
Anna Georgiades ◽  
Fruhling Rijsdijk ◽  
Fergus Kane ◽  
Irene Rebollo-Mesa ◽  
Sridevi Kalidindi ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Working Memory ◽  
Spatial Learning ◽  
Genetic Relatedness ◽  
Spatial Working Memory ◽  
Statistical Significance ◽  
Genetic Correlations ◽  
Visual Spatial ◽  
Affective Symptoms ◽  
Genetic Modelling

BackgroundTwin studies have lacked statistical power to apply advanced genetic modelling techniques to the search for cognitive endophenotypes for bipolar disorder.AimsTo quantify the shared genetic variability between bipolar disorder and cognitive measures.MethodStructural equation modelling was performed on cognitive data collected from 331 twins/siblings of varying genetic relatedness, disease status and concordance for bipolar disorder.ResultsUsing a parsimonious AE model, verbal episodic and spatial working memory showed statistically significant genetic correlations with bipolar disorder (rg = |0.23|–|0.27|), which lost statistical significance after covarying for affective symptoms. Using an ACE model, IQ and visual-spatial learning showed statistically significant genetic correlations with bipolar disorder (rg = |0.51|–|1.00|), which remained significant after covarying for affective symptoms.ConclusionsVerbal episodic and spatial working memory capture a modest fraction of the bipolar diathesis. IQ and visual-spatial learning may tap into genetic substrates of non-affective symptomatology in bipolar disorder.

Genetic modelling of muscular dystrophies

1998 ◽  
Vol 24 (2) ◽  
pp. 96-100 ◽  
Author(s):  
C. L. Ward ◽  
K. E. Davies
Keyword(s):  
Muscular Dystrophies ◽  
Genetic Modelling
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