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Articles by C Yao
Total Records ( 4 ) for C Yao
  B Huang , W Qin , B Zhao , Y Shi , C Yao , J Li , H Xiao and Y. Jin
 

MicroRNAs (miRNAs), which are a newly identified class of small single-stranded non-coding RNAs, regulate their target genes via post-transcriptional pathway. It has been proved that miRNAs play important roles in many biological processes. To better understand miRNA function on type 2 diabetes, we used an oligonucleotide microarray to monitor miRNA expression profiles of Goto–Kakizaki (GK) and Wistar rats' skeletal muscle. It was found that seven miRNAs were down-expressed and two miRNAs were over-expressed in the muscle of GK rats. Among them, miR-24 showed the most prominent change. p38 MAPK, which is a direct target of miR-24, also showed expression difference. All the data give a clue that miR-24 might be associated with diabetes through down-regulation of p38 MAPK.

  W Qin , B Zhao , Y Shi , C Yao , L Jin and Y. Jin
 

MicroRNAs (miRNAs) are a type of small non-coding RNAs that regulate cognate mRNA expressions at the post-transcriptional stage. Although several miRNAs are known to be involved in various biological processes, including developmental timing, patterning, embryogenesis, differentiation and organogenesis, growth control, and apoptosis, many target genes and the functions of most miRNAs are still unclear. Since there is only a partial complementarity between miRNAs and their targets in animal cells, it is difficult to identify the specific target genes for a given miRNA and elucidate its function. In this study, we confirmed that bone morphogenetic protein receptor II (BMPRII) is a direct target of miR-21, and also showed that the protein level of BMPRII correlates inversely with the amount of miR-21 in PC3 and Lncap cells. These findings suggest that miR-21 may have a potential role in regulating the malignancy and metastatic abilities of prostate cancer cells and in self-renewal of stem cells by regulating the expression of BMPRII.

  M Zhang , L Zhang , J Zou , C Yao , H Xiao , Q Liu , J Wang , D Wang , C Wang and Z. Guo
 

Motivation: According to current consistency metrics such as percentage of overlapping genes (POG), lists of differentially expressed genes (DEGs) detected from different microarray studies for a complex disease are often highly inconsistent. This irreproducibility problem also exists in other high-throughput post-genomic areas such as proteomics and metabolism. A complex disease is often characterized with many coordinated molecular changes, which should be considered when evaluating the reproducibility of discovery lists from different studies.

Results: We proposed metrics percentage of overlapping genes-related (POGR) and normalized POGR (nPOGR) to evaluate the consistency between two DEG lists for a complex disease, considering correlated molecular changes rather than only counting gene overlaps between the lists. Based on microarray datasets of three diseases, we showed that though the POG scores for DEG lists from different studies for each disease are extremely low, the POGR and nPOGR scores can be rather high, suggesting that the apparently inconsistent DEG lists may be highly reproducible in the sense that they are actually significantly correlated. Observing different discovery results for a disease by the POGR and nPOGR scores will obviously reduce the uncertainty of the microarray studies. The proposed metrics could also be applicable in many other high-throughput post-genomic areas.

 
 
 
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