An Essential Gene Dataset Defines Functional Gene Networks

2017 ◽  
Vol 7 (4) ◽  
pp. OF9-OF9
2012 ◽  
Vol 15 (12) ◽  
pp. 1723-1728 ◽  
Author(s):  
Sarah R Gilman ◽  
Jonathan Chang ◽  
Bin Xu ◽  
Tejdeep S Bawa ◽  
Joseph A Gogos ◽  
...  

2021 ◽  
Author(s):  
Gholamreza Jafari ◽  
Nastaran Allahyari ◽  
Amir Kargaran ◽  
Ali Hosseiny

Despite its high and direct impact on nearly all biological processes, the underlying structure of gene-gene interaction networks is investigated so far according to pair connections. To address this, we explore the gene interaction networks of the yeast Saccharomyces cerevisiae beyond pairwise interaction using the structural balance theory (SBT). Specifically, we ask whether essential and nonessential gene interaction networks are structurally balanced. We study triadic interactions in the weighted signed undirected gene networks and observe that balanced and unbalanced triads are over and underrepresented in both networks, thus beautifully in line with the strong notion of balance. Moreover, we note that the energy distribution of triads is significantly different in both essential and nonessential networks compared with the shuffled networks. Yet, this difference is greater in the essential network regarding the frequency as well as the energy of triads. Additionally, results demonstrate that triads in the essential gene network are more interconnected through sharing common links, while in the nonessential network they tend to be isolated. Last but not least, we investigate the contribution of all-length signed walks and its impact on the degree of balance. Our findings reveal that interestingly when considering longer cycles the nonessential gene network is more balanced compared to the essential network.


Brain ◽  
2020 ◽  
Vol 143 (10) ◽  
pp. 2945-2956
Author(s):  
Andreas H Rasmussen ◽  
Lisette J A Kogelman ◽  
David M Kristensen ◽  
Mona Ameri Chalmer ◽  
Jes Olesen ◽  
...  

Abstract Migraine is the most common neurological disorder worldwide and it has been shown to have complex polygenic origins with a heritability of estimated 40–70%. Both common and rare genetic variants are believed to underlie the pathophysiology of the prevalent types of migraine, migraine with typical aura and migraine without aura. However, only common variants have been identified so far. Here we identify for the first time a gene module with rare mutations through a systems genetics approach integrating RNA sequencing data from brain and vascular tissues likely to be involved in migraine pathology in combination with whole genome sequencing of 117 migraine families. We found a gene module in the visual cortex, based on single nuclei RNA sequencing data, that had increased rare mutations in the migraine families and replicated this in a second independent cohort of 1930 patients. This module was mainly expressed by interneurons, pyramidal CA1, and pyramidal SS cells, and pathway analysis showed association with hormonal signalling (thyrotropin-releasing hormone receptor and oxytocin receptor signalling pathways), Alzheimer’s disease pathway, serotonin receptor pathway and general heterotrimeric G-protein signalling pathways. Our results demonstrate that rare functional gene variants are strongly implicated in the pathophysiology of migraine. Furthermore, we anticipate that the results can be used to explain the critical mechanisms behind migraine and potentially improving the treatment regime for migraine patients.


Author(s):  
G.D. Grass ◽  
J. Teer ◽  
E.A. Welsh ◽  
S.A. Eschrich ◽  
J.F. Torres-Roca

2013 ◽  
Vol 42 (D1) ◽  
pp. D731-D736 ◽  
Author(s):  
Hanhae Kim ◽  
Junha Shin ◽  
Eiru Kim ◽  
Hyojin Kim ◽  
Sohyun Hwang ◽  
...  

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