scholarly journals Identification and characterization of a specific 13-miRNA expression signature during follicle activation in the zebrafish ovary†

2017 ◽  
Vol 98 (1) ◽  
pp. 42-53 ◽  
Author(s):  
Queenie Wing-Lei Wong ◽  
Ming-An Sun ◽  
Shuk-Wa Lau ◽  
Chirag Parsania ◽  
Shaolong Zhou ◽  
...  
BMC Cancer ◽  
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Vaidotas Stankevicius ◽  
Gintautas Vasauskas ◽  
Danute Bulotiene ◽  
Stase Butkyte ◽  
Sonata Jarmalaite ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Jing Shi ◽  
Hui Liu ◽  
Hui Wang ◽  
Xiangqing Kong

Degenerative aortic stenosis, characterized by narrowing of the exit of the left ventricle of the heart, has become the most common valvular heart disease in the elderly. The aim of this study was to investigate the microRNA (miRNA) signature in degenerative AS. Through microarray analysis, we identified the miRNA expression signature in the tissue samples from healthy individuals (n=4) and patients with degenerative AS (n=4). Six miRNAs (hsa-miR-193a-3p, hsa-miR-29b-1-5p, hsa-miR-505-5p, hsa-miR-194-5p, hsa-miR-99b-3p, and hsa-miR-200b-3p) were overexpressed and 14 (hsa-miR-3663-3p, hsa-miR-513a-5p, hsa-miR-146b-5p, hsa-miR-1972, hsa-miR-718, hsa-miR-3138, hsa-miR-21-5p, hsa-miR-630, hsa-miR-575, hsa-miR-301a-3p, hsa-miR-636, hsa-miR-34a-3p, hsa-miR-21-3p, and hsa-miR-516a-5p) were downregulated in aortic tissue from AS patients. GeneSpring 13.1 was used to identify potential human miRNA target genes by comparing a 3-way comparison of predictions from TargetScan, PITA, and microRNAorg databases. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed to identify potential pathways and functional annotations associated with AS. Twenty miRNAs were significantly differentially expressed between patients with AS samples and normal controls and identified potential miRNA targets and molecular pathways associated with this morbidity. This study describes the miRNA expression signature in degenerative AS and provides an improved understanding of the molecular pathobiology of this disease.


Tumor Biology ◽  
2013 ◽  
Vol 34 (6) ◽  
pp. 3501-3508 ◽  
Author(s):  
Xiaotang Yu ◽  
Xinchen Zhang ◽  
Tie Bi ◽  
Yanfang Ding ◽  
Jinyao Zhao ◽  
...  

Gene ◽  
2021 ◽  
Vol 769 ◽  
pp. 145206
Author(s):  
Chengdong Wang ◽  
Feng Li ◽  
Linhua Deng ◽  
Mingzhou Li ◽  
Ming Wei ◽  
...  

2019 ◽  
Vol 79 (7) ◽  
pp. 1705-1713 ◽  
Author(s):  
Thomas E. Rohan ◽  
Tao Wang ◽  
Sheila Weinmann ◽  
Yihong Wang ◽  
Juan Lin ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Hui Wang ◽  
Jing Shi ◽  
Beibei Li ◽  
Qiulian Zhou ◽  
Xiangqing Kong ◽  
...  

Altered microRNA (miRNA, miR) expression has been related to many disease processes; however, the miRNA expression signature in calcific aortic valve disease (CAVD) is unclear. In this study, microarrays were used to determine the miRNA expression signature of tissue samples from healthy individuals (n=4) and patients with CAVD (n=4). TargetScan, PITA, and microRNAorg 3-way databases were used to predict the potential target genes. DIANA-miRPath was used to incorporate the aberrant miRNAs into gene pathways. miRNA microarrays identified 92 differentially expressed miRNAs in CAVD tissues. The principal component analysis (PCA) of these samples and the unsupervised hierarchical clustering analysis based on the 92 aberrantly expressed miRNAs noted that miRNA expression could be categorized into two well-defined clusters that corresponded to healthy control and CAVD. Bioinformatic analysis showed the miRNA targets and potential molecular pathways. Collectively, our study reported the miRNA expression signature in CAVD and may provide potential therapeutic targets for CAVD.


2011 ◽  
Vol 11 (1) ◽  
pp. 14 ◽  
Author(s):  
Jessica Carlsson ◽  
Sabina Davidsson ◽  
Gisela Helenius ◽  
Mats Karlsson ◽  
Zelmina Lubovac ◽  
...  

Oncotarget ◽  
2017 ◽  
Vol 8 (35) ◽  
pp. 58278-58291 ◽  
Author(s):  
Sophie Baumgart ◽  
Sebastian Hölters ◽  
Carsten-Henning Ohlmann ◽  
Rainer Bohle ◽  
Michael Stöckle ◽  
...  

2017 ◽  
Vol 77 (14) ◽  
pp. 3778-3790 ◽  
Author(s):  
Vignesh Viswanathan ◽  
Shirish Damle ◽  
Tao Zhang ◽  
Lynn Opdenaker ◽  
Shirin Modarai ◽  
...  

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