In silico analysis of non-coding RNAs and putative target genes implicated in metabolic syndrome

2021 ◽  
Vol 130 ◽  
pp. 104229
Author(s):  
Abdullahi Dandare ◽  
Ghulam Rabia ◽  
Muhammad Jawad Khan
Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 983
Author(s):  
Agnese Gugliandolo ◽  
Luigi Chiricosta ◽  
Virginia Boccardi ◽  
Patrizia Mecocci ◽  
Placido Bramanti ◽  
...  

MicroRNAs (miRNAs) are small RNAs involved in the post-transcriptional regulation of their target genes, causing a decrease in protein translation from the mRNA. Different miRNAs are found in the nervous system, where they are involved in its physiological functions, but altered miRNAs expression was also reported in neurodegenerative disorders, including Alzheimer’s disease (AD). AD is characterized by memory loss, cognitive function abnormalities, and various neuropsychiatric disturbances. AD hallmarks are amyloid β (Aβ) aggregates, called senile plaques, and neurofibrillary tangles (NFTs) formed by hyperphosphorylated Tau protein. In this study, we performed an in silico analysis to evaluate altered patterns of miRNAs expression in the brains of AD patients compared to healthy subjects. We found 12 miRNAs that were differentially expressed in AD compared to healthy individuals. These miRNAs have target genes involved in AD pathogenesis. In particular, some miRNAs influence Aβ production, having as target secretase and amyloid precursor protein (APP). Some miRNAs were reported to be involved in nervous system functions, and their alteration can cause neuronal dysfunction.


2020 ◽  
Vol 141 ◽  
pp. 104873 ◽  
Author(s):  
Piyush Joshi ◽  
George Jallo ◽  
Ranjan J. Perera

Placenta ◽  
2021 ◽  
Vol 103 ◽  
pp. 250
Author(s):  
Manabu Ogoyama ◽  
Junxiao Wang ◽  
Dongwei Zhao ◽  
Hironori Takahashi ◽  
Shigeki Matsubara ◽  
...  

2008 ◽  
Vol 216 (3) ◽  
pp. 651-662 ◽  
Author(s):  
Harini Chakravarthy ◽  
Brian Boer ◽  
Michelle Desler ◽  
Sunil Kumar Mallanna ◽  
Timothy W. McKeithan ◽  
...  

2021 ◽  
Vol 22 (22) ◽  
pp. 12556
Author(s):  
Muhammad Zeeshan ◽  
Cheng-Wei Qiu ◽  
Shama Naz ◽  
Fangbin Cao ◽  
Feibo Wu

Salinity is a serious environmental issue. It has a substantial effect on crop yield, as many crop species are sensitive to salinity due to climate change, and it impact is continuing to increase. Plant microRNAs (miRNAs) contribute to salinity stress response in bread wheat. However, the underlying molecular mechanisms by which miRNAs confer salt tolerance in wheat are unclear. We conducted a genome-wide discovery study using Illumina high throughput sequencing and comprehensive in silico analysis to obtain insight into the underlying mechanisms by which small RNAs confer tolerance to salinity in roots of two contrasting wheat cvv., namely Suntop (salt-tolerant) and Sunmate (salt-sensitive). A total of 191 microRNAs were identified in both cultivars, consisting of 110 known miRNAs and 81 novel miRNAs; 181 miRNAs were shared between the two cultivars. The known miRNAs belonged to 35 families consisted of 23 conserved and 12 unique families. Salinity stress induced 43 and 75 miRNAs in Suntop and Sunmate, respectively. Among them, 14 and 29 known and novel miRNAs were expressed in Suntop and 37 and 38 in Sunmate. In silico analysis revealed 861 putative target mRNAs for the 75 known miRNAs and 52 putative target mRNAs for the 15 candidate novel miRNAs. Furthermore, seven miRNAs including tae-miR156, tae-miR160, tae-miR171a-b, tae-miR319, tae-miR159a-b, tae-miR9657 and novel-mir59 that regulate auxin responsive-factor, SPL, SCL6, PCF5, R2R3 MYB, and CBL-CIPK, respectively, were predicted to contribute to salt tolerance in Suntop. This information helps further our understanding of how the molecular mechanisms of salt tolerance are mediated by miRNAs and may facilitate the genetic improvement of wheat cultivars.


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