Identification and characterization of miRNA expression profiles across five tissues in giant panda

Gene ◽  
2021 ◽  
Vol 769 ◽  
pp. 145206
Author(s):  
Chengdong Wang ◽  
Feng Li ◽  
Linhua Deng ◽  
Mingzhou Li ◽  
Ming Wei ◽  
...  
Keyword(s):  
Mirna Expression ◽  
Giant Panda ◽  
Expression Profiles ◽  
Mirna Expression Profiles ◽  
Identification And Characterization

scholarly journals Clinicopathological-Associated Regulatory Network of Deregulated circRNAs in Hepatocellular Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2772
Author(s):  
Jian Han ◽  
Thomas Thurnherr ◽  
Alexander Y. F. Chung ◽  
Brian K. P. Goh ◽  
Pierce K. H. Chow ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Lines ◽  
Cell Transformation ◽  
Expression Profiles ◽  
Cancer Pathways ◽  
Mirna Expression Profiles ◽  
Novel Strategy ◽  
And Migration ◽  
Identification And Characterization

Hepatocellular carcinoma (HCC) is one of the most common and lethal cancers worldwide. Here, we present a novel strategy to identify key circRNA signatures of clinically relevant co-expressed circRNA-mRNA networks in pertinent cancer-pathways that modulate prognosis of HCC patients, by integrating clinic-pathological features, circRNA and mRNA expression profiles. Through further integration with miRNA expression profiles, clinically relevant competing-endogenous-RNA (ceRNA) networks of circRNA-miRNA-mRNAs were constructed. At least five clinically relevant nodal-circRNAs, co-expressed with numerous genes, were identified from the circRNA-mRNA networks. These nodal circRNAs upregulated proliferation (except circRaly) and transformation in cells. The most upregulated nodal-circRNA, circGPC3, associated with higher-grade tumors and co-expressed with 33 genes, competes with 11 mRNAs for two shared miRNAs. circGPC3 was experimentally demonstrated to upregulate cell-cycle and migration/invasion in both transformed and non-transformed liver cell-lines. circGPC3 was further shown to act as a sponge of miR-378a-3p to regulate APSM (Abnormal spindle-like microcephaly associated) expression and modulate cell transformation. This study identifies 5 key nodal master circRNAs in a clinically relevant circRNA-centric network that are significantly associated with poorer prognosis of HCC patients and promotes tumorigenesis in cell-lines. The identification and characterization of these key circRNAs in clinically relevant circRNA-mRNA and ceRNA networks may facilitate the design of novel strategies targeting these important regulators for better HCC prognosis.

scholarly journals Identification of extracellular vesicles and characterization of miRNA expression profiles in human blastocoel fluid

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
R. Battaglia ◽  
S. Palini ◽  
M. E. Vento ◽  
A. La Ferlita ◽  
M. J. Lo Faro ◽  
...  
Keyword(s):  
Extracellular Vesicles ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Mirna Expression Profiles

The Predominant microRNAs in β-cell Clusters for Insulin Regulation and Diabetic Control

2020 ◽  
Vol 21 (7) ◽  
pp. 722-734
Author(s):  
Adele Soltani ◽  
Arefeh Jafarian ◽  
Abdolamir Allameh
Keyword(s):  
Mirna Expression ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Diabetic Control ◽  
In Vitro Proliferation ◽  
Cell Functions ◽  
Mirna Expression Profiles ◽  
Multiple Processes ◽  
The Impact

micro (mi)-RNAs are vital regulators of multiple processes including insulin signaling pathways and glucose metabolism. Pancreatic β-cells function is dependent on some miRNAs and their target mRNA, which together form a complex regulative network. Several miRNAs are known to be directly involved in β-cells functions such as insulin expression and secretion. These small RNAs may also play significant roles in the fate of β-cells such as proliferation, differentiation, survival and apoptosis. Among the miRNAs, miR-7, miR-9, miR-375, miR-130 and miR-124 are of particular interest due to being highly expressed in these cells. Under diabetic conditions, although no specific miRNA profile has been noticed, the expression of some miRNAs and their target mRNAs are altered by posttranscriptional mechanisms, exerting diverse signs in the pathobiology of various diabetic complications. The aim of this review article is to discuss miRNAs involved in the process of stem cells differentiation into β-cells, resulting in enhanced β-cell functions with respect to diabetic disorders. This paper will also look into the impact of miRNA expression patterns on in vitro proliferation and differentiation of β-cells. The efficacy of the computational genomics and biochemical analysis to link the changes in miRNA expression profiles of stem cell-derived β-cells to therapeutically relevant outputs will be discussed as well.

scholarly journals miRNA expression profiles in liver grafts of HCV and HIV/HCV infected recipients, six months after liver transplantation

2021 ◽  
Author(s):  
Michela Bulfoni ◽  
Riccardo Pravisani ◽  
Emiliano Dalla ◽  
Daniela Cesselli ◽  
Masaaki Hidaka ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Mirna Expression Profiles

Effects of the Co‐Administration of MK‐801 and Clozapine MiRNA Expression Profiles in Rats

2021 ◽  
Author(s):  
Wenhui Huang ◽  
Xuefeng Gu ◽  
Yingying Wang ◽  
Yuhan Bi ◽  
Yu. Yang ◽  
...  
Keyword(s):  
Mirna Expression ◽  
Expression Profiles ◽  
Mk 801 ◽  
Mirna Expression Profiles

scholarly journals Transcriptome-based identification and characterization of genes responding to imidacloprid in Myzus persicae

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jianyu Meng ◽  
Xingjiang Chen ◽  
Changyu Zhang
Keyword(s):  
Genetic Basis ◽  
Expression Profiles ◽  
Control Measure ◽  
Effective Control ◽  
Agricultural Pest ◽  
Functional Classification ◽  
Quantitative Real Time Pcr ◽  
Underlying Mechanisms ◽  
Identification And Characterization

Abstract Myzus persicae is a serious and widespread agricultural pest, against which, imidacloprid remains an effective control measure. However, recent reports indicate that this aphid has evolved and developed resistance to imidacloprid. This study aimed to elucidate the underlying mechanisms and genetic basis of this resistance by conducting comparative transcriptomics studies on both imidacloprid-resistant (IR) and imidacloprid-susceptible (IS) M. persicae. The comparative analysis identified 252 differentially expressed genes (DEGs) among the IR and IS M. persicae transcriptomes. These candidate genes included 160 and 92 genes that were down- and up-regulated, respectively, in the imidacloprid-resistant strain. Using functional classification in the GO and KEGG databases, 187 DEGs were assigned to 303 functional subcategories and 100 DEGs were classified into 45 pathway groups. Moreover, several genes were associated with known insecticide targets, cuticle, metabolic processes, and oxidative phosphorylation. Quantitative real-time PCR of 10 DEGs confirmed the trends observed in the RNA sequencing expression profiles. These findings provide a valuable basis for further investigation into the complicated mechanisms of imidacloprid resistance in M. persicae.

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