Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis

Zhi-guo Zhang; Xu-yan Niu; Ai-ping Lu; Gary Guishan Xiao

doi:10.1007/s11655-013-1333-2

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Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis

OriginalPaper | Updated：2021-08-27

- Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis
- Effect of curcumin on aged Drosophila Melanogaster: A pathway prediction analysis
- 中国结合医学杂志（英文版） 2015年21卷第2期页码：115-122
- 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
  中图分类号：
- 纸质出版日期：2015，
  
  网络出版日期：2013-10-23，
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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, 2015,21(2):115-122.
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, 2015,21(2):115-122. 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

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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