Identification of key gene modules and pathways of human glioma through coexpression network

Glioma causes great harm to people worldwide. Systemic coexpression analysis of this disease could be beneficial for the identification and development of new prognostic and predictive markers in the clinical management of glioma. In this study, we extracted data sets from the Gene Expression Omnibus data set by using “glioma” as the keyword. Then, a coexpression module was constructed with the help of Weighted Gene Coexpression Network Analysis software. Besides, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the genes in these modules. As a result, the critical modules and target genes were identified. Eight coexpression modules were constructed using the 4,000 genes with a high expression value of the total 141 glioma samples. The result of the analysis of the interaction among these modules showed that there was a high scale independence degree among them. The GO and KEGG enrichment analyses showed that there was a significant difference in the enriched terms and degree among these eight modules, and module 5 was identified as the most important module. Besides, the pathways it was enriched in, hsa04510: Focal adhesion and hsa04610: Complement and coagulation cascades, were determined as the most important pathways. In summary, module 5 and the pathways it was enriched in, hsa04510: Focal adhesion and has 04610: Complement and coagulation cascades, have the potential to serve as biomarkers for patients with glioma.     

Proteome profiling highlights mechanisms underlying pigment and tocopherol accumulation in red and black rice seeds

Rice is a major component of the human diet and feeds more than 50 million people across the globe. We previously developed two pigmented rice cultivars, Super-hongmi (red seeds) and Super-jami (black seeds), that are highly rich in antioxidants and exhibit high levels of radical scavenging activities. However, the molecular mechanism underlying the accumulation of pigments and different antioxidants in these rice cultivars remains largely elusive. Here, we report the proteome profiles of mature Super-hongmi and Super-jami seeds, and compared them with the Hopum (white seeds) using a label-free quantitative proteomics approach. This approach led to the identification of 5127 rice seed proteins of which 1628 showed significant changes in the pigmented rice cultivar(s). The list of significantly modulated proteins included a phytoene desaturase (PDS3) which suggested accumulation of ζ-carotene in red seeds while the black seeds seem to accumulate more of anthocyanins because of the higher abundance of dihydroflavonol 4-reductase. Moreover, proteins associated with lignin and tocopherol biosynthesis were highly increased in both red and black cultivars. Taken together, these data report the seed proteome of three different colored rice seeds and identify novel components associated with pigment accumulation in rice.     

Identification of tissue-specific cis-regulatory modules based on interactions between transcription factors

Background  

Evolutionary conservation has been used successfully to help identify cis-acting DNA regions that are important in regulating tissue-specific gene expression. Motivated by increasing evidence that some DNA regulatory regions are not evolutionary conserved, we have developed an approach for cis-regulatory region identification that does not rely upon evolutionary sequence conservation.