FOLLOWUS
Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis
- Chinese Journal of Integrative Medicine Vol. 21, Issue 2, Pages: 115-122(2015)
- Affiliations：
1. Institute of Basic Theory, China Academy of Chinese Medical Sciences,Beijing,China
2. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences,Beijing,China
3. Genomics and Functional Proteomics Laboratories, Osteoporosis Research Center, Creighton University Medical Center,Omaha,USA
- Author bio：
- Funds：Supported by the National Natural Science Foundation of China (No. 81102680) and China Postdoctoral Science Foundation (No. 20100470524);These authors contributed equally to this work
DOI：10.1007/s11655-013-1333-2
CLC：Published：2015，
Published Online：23 October 2013，
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Zhang, Zg., Niu, Xy., Lu, Ap. et al. Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis., Chin. J. Integr. Med. 21, 115–122 (2015). https://doi.org/10.1007/s11655-013-1333-2
Zhi-guo Zhang, Xu-yan Niu, Ai-ping Lu, et al. Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis. [J]. Chinese Journal of Integrative Medicine 21(2):115-122(2015)
Zhang, Zg., Niu, Xy., Lu, Ap. et al. Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis., Chin. J. Integr. Med. 21, 115–122 (2015). https://doi.org/10.1007/s11655-013-1333-2 DOI：
Zhi-guo Zhang, Xu-yan Niu, Ai-ping Lu, et al. Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis. [J]. Chinese Journal of Integrative Medicine 21(2):115-122(2015) DOI： 10.1007/s11655-013-1333-2.
摘要
To re-analyze the data published in order to explore plausible biological pathways that can be used to explain the anti-aging effect of curcumin. Microarray data generated from other study aiming to investigate effect of curcumin on extending lifespan of Drosophila melanogaster were further used for pathway prediction analysis. The differentially expressed genes were identified by using GeneSpring GX with a criterion of 3.0-fold change. Two Cytoscape plugins including BisoGenet and molecular complex detection (MCODE) were used to establish the protein-protein interaction (PPI) network based upon differential genes in order to detect highly connected regions. The function annotation clustering tool of Database for Annotation
Visualization and Integrated Discovery (DAVID) was used for pathway analysis. A total of 87 genes expressed differentially in D. melanogaster melanogaster treated with curcumin were identified
among which 50 were up-regulated significantly and 37 were remarkably down-regulated in D. melanogaster melanogaster treated with curcumin. Based upon these differential genes
PPI network was constructed with 1
082 nodes and 2
412 edges. Five highly connected regions in PPI networks were detected by MCODE algorithm
suggesting anti-aging effect of curcumin may be underlined through five different pathways including Notch signaling pathway
basal transcription factors
cell cycle regulation
ribosome
Wnt signaling pathway
and p53 pathway. Genes and their associated pathways in D. melanogaster melanogaster treated with anti-aging agent curcumin were identified using PPI network and MCODE algorithm
suggesting that curcumin may be developed as an alternative therapeutic medicine for treating aging-associated diseases.
Abstract
To re-analyze the data published in order to explore plausible biological pathways that can be used to explain the anti-aging effect of curcumin. Microarray data generated from other study aiming to investigate effect of curcumin on extending lifespan of Drosophila melanogaster were further used for pathway prediction analysis. The differentially expressed genes were identified by using GeneSpring GX with a criterion of 3.0-fold change. Two Cytoscape plugins including BisoGenet and molecular complex detection (MCODE) were used to establish the protein-protein interaction (PPI) network based upon differential genes in order to detect highly connected regions. The function annotation clustering tool of Database for Annotation
Visualization and Integrated Discovery (DAVID) was used for pathway analysis. A total of 87 genes expressed differentially in D. melanogaster melanogaster treated with curcumin were identified
among which 50 were up-regulated significantly and 37 were remarkably down-regulated in D. melanogaster melanogaster treated with curcumin. Based upon these differential genes
PPI network was constructed with 1
082 nodes and 2
412 edges. Five highly connected regions in PPI networks were detected by MCODE algorithm
suggesting anti-aging effect of curcumin may be underlined through five different pathways including Notch signaling pathway
basal transcription factors
cell cycle regulation
ribosome
Wnt signaling pathway
and p53 pathway. Genes and their associated pathways in D. melanogaster melanogaster treated with anti-aging agent curcumin were identified using PPI network and MCODE algorithm
suggesting that curcumin may be developed as an alternative therapeutic medicine for treating aging-associated diseases.
关键词
anti-agingCurcuminDrosophila Melanogasterpathway prediction analysisprotein-protein interaction network
Keywords
anti-agingCurcuminDrosophila Melanogasterpathway prediction analysisprotein-protein interaction network
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