Identification of major depressive disorder disease-related genes and functional pathways based on system dynamic changes of network connectivity

@article{Geng2021IdentificationOM,
  title={Identification of major depressive disorder disease-related genes and functional pathways based on system dynamic changes of network connectivity},
  author={Ruijie Geng and Xiao Huang},
  journal={BMC Medical Genomics},
  year={2021},
  volume={14}
}
Background Major depressive disorder (MDD) is a leading psychiatric disorder that involves complex abnormal biological functions and neural networks. This study aimed to compare the changes in the network connectivity of different brain tissues under different pathological conditions, analyzed the biological pathways and genes that are significantly related to disease progression, and further predicted the potential therapeutic drug targets. Methods Expression of differentially expressed genes… Expand

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References

SHOWING 1-10 OF 53 REFERENCES
Transcriptional profiling of mitochondria associated genes in prefrontal cortex of subjects with major depressive disorder
  • Qingzhong Wang, Y. Dwivedi
  • Biology, Medicine
  • The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
  • 2017
Weighted gene co-expression network analysis identifies specific modules and hub genes related to subsyndromal symptomatic depression
  • Ruijie Geng, Zezhi Li, +6 authors Y. Fang
  • Medicine
  • The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
  • 2018
Two Gene Co-expression Modules Differentiate Psychotics and Controls
Circadian patterns of gene expression in the human brain and disruption in major depressive disorder
...
1
2
3
4
5
...