scholarly journals Genome-wide analysis of differentially expressed genes and the modulation of PEDV infection in Vero E6 cells

2018 ◽  
Vol 117 ◽  
pp. 247-254 ◽  
Author(s):  
Hewei Zhang ◽  
Qinfang Liu ◽  
Weiwei Su ◽  
Jianke Wang ◽  
Yaru Sun ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Genome Wide Analysis ◽  
Genome Wide

scholarly journals Genome-Wide Analysis of Differentially Expressed Genes and Splicing Isoforms in Clear Cell Renal Cell Carcinoma

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e78452 ◽  
Author(s):  
Alessio Valletti ◽  
Margherita Gigante ◽  
Orazio Palumbo ◽  
Massimo Carella ◽  
Chiara Divella ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Differentially Expressed Genes ◽  
Renal Cell ◽  
Clear Cell ◽  
Differentially Expressed ◽  
Cell Renal Cell Carcinoma ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
Splicing Isoforms

scholarly journals Genome-wide identification and characterization of barley bHLH transcription factors and their expression in response to low nitrogen stress

2020 ◽  
Author(s):  
Xiaoyan Quan ◽  
Xiaoli Liang ◽  
Chunjuan Xie ◽  
Ning Yin ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Differentially Expressed ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
Bhlh Genes ◽  
Bhlh Transcription Factors ◽  
Bhlh Proteins ◽  
Low Nitrogen ◽  
Barley Genotypes

Abstract Background: Improvement of low nitrogen (LN) tolerance or nitrogen use efficiency (NUE) in crops is imperative for environment-friendly agriculture development. The basic helix–loop–helix (bHLH) transcription factors are involved in multiple abiotic stress, suitable as the candidate genes for improving LN tolerance. Little research was done on characterization of bHLH gene family and their response to LN stress in barley.Results: In this study, 168 bHLH genes were identified in barley through genome-wide analysis. HvbHLH proteins were classified into 26 subfamilies based on phylogenetic analysis with bHLH proteins from Arabidopsis thaliana and rice. The analysis of conserved motifs and gene structures supported the evolutionary relationships among these HvbHLH proteins. Further, analysis of stress-related cis-elements in the promoter regions showed that bHLH proteins in barley are probably involved in multiple stress responses. Finally, at least 16 bHLH genes were differentially expressed in two barley genotypes differing in LN tolerance under LN stress. Dynamic expression analysis showed that these differentially expressed genes (DEGs) differed between the two barley genotypes in response to LN stress.Conclusion: It is the first genome-wide analysis of bHLH family genes in response to LN stress in barley. The results indicate the distinct difference among HvbHLH genes in response to various abiotic stresses. The HvbHLHs specifically expressed in the LN-tolerant barley genotype XZ149 identified herein may be valuable for future function analysis of HvbHLH genes under LN stress and breeding for barley cultivars with LN tolerance.

scholarly journals Genome-wide analysis of lncRNAs and mRNAs expression during the differentiation of abdominal preadipocytes in chicken

2016 ◽  
Author(s):  
Tao Zhang ◽  
Xiangqian Zhang ◽  
Kunpeng Han ◽  
Genxi Zhang ◽  
Jinyu Wang ◽  
...  
Keyword(s):  
Network Analysis ◽  
Rna Sequencing ◽  
Early Stage ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Valuable Resource ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
And Function ◽  
Jinghai Yellow Chicken

AbstractlncRNAs regulate metabolic tissue development and function, including adipogenesis. However, little is known about the function and profile of lncRNAs in preadipocytes differentiation of chicken. Here, we identified lncRNAs in preadipocytes of different differentiation stages by RNA-sequencing using Jinghai Yellow chicken. A total of 1,300,074,528 clean reads and 27,023 lncRNAs were obtained from twenty samples. 3095 genes (1,336 lncRNAs and 1,759 mRNAs) were differentially expressed among different stages, of which the number of DEGs decreased with the differentiation, demonstrating that the early stage might be most important for chicken preadipocytes differentiation. Furthermore, 3,095 DEGs were clustered into 8 clusters with their expression patterns by K-means clustering. We identified six stage-specific modules related to A0, A2 and A6 stages using weighted co-expression network analysis. Many well-known/novel pathways associated with preadipocytes differentiation were found. We also identified highly connected genes in each module and visualized them by cytoscape. Many well-known genes related to preadipocytes differentiation were found such as IGFBP2 and JUN. Yet, the majority of high connected genes were unknown in chicken preadipocytes. This study provides a valuable resource for chicken lncRNA study and contributes to batter understanding the biology of preadipocytes differentiation in chicken.

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