Bioinformatic prediction of critical genes and pathways involved in longevity in Drosophila melanogaster-Reference-Cited by-同舟云学术

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Bioinformatic prediction of critical genes and pathways involved in longevity in Drosophila melanogaster

Published:2019-07-20 Issue:6 Volume:294 Page:1463-1475
ISSN:1617-4615
Container-title:Molecular Genetics and Genomics
language:en
Short-container-title:Mol Genet Genomics

Author:

Li Jia-qi,Duan Dan-dan,Zhang Jian-qin,Zhou Yu-zhi,Qin Xue-mei,Du Guan-hua,Gao Li

Funder

National Natural Science Foundation of China

Science and Technology Innovation Team of Shanxi Province

Key laboratory of Effective Substances Research and Utilization in TCM of Shanxi province

Youth Science and Technology Research Fund of Shanxi Province

Postgraduate Education Innovation Project

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00438-019-01589-1.pdf

Reference63 articles.

1. Ali YO, Wilfredo E, Kai R, Zhai RG (2011) Assaying locomotor, learning, and memory deficits in Drosophila models of neurodegeneration. J Vis Exp 11:e2504. https://doi.org/10.3791/2504

2. Assenov Y, Ramirez F, Schelhorn SE, Lengauer T, Albrecht M (2008) Computing topological parameters of biological networks. Bioinformatics 24:282–284. https://doi.org/10.1093/bioinformatics/btm554

3. Bader GD, Hogue CW (2003) An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinform 4:2. https://doi.org/10.1186/1471-2105-4-2

4. Basta G (2008) Receptor for advanced glycation endproducts and atherosclerosis: from basic mechanisms to clinical implications. Atherosclerosis 196:9–21. https://doi.org/10.1016/j.atherosclerosis.2007.07.025

5. Basta G, Schmidt AM, De CR (2004) Advanced glycation end products and vascular inflammation: implications for accelerated atherosclerosis in diabetes. Cardiovasc Res 63:582–592. https://doi.org/10.1016/j.cardiores.2004.05.001

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