Proteomic Analysis of Liver Proteins in a Rat Model of Chronic Restraint Stress-Induced Depression

Joint Authors

Ronghua, Zhao
Li, Cong
Guo, Zhengguang
Sun, Wei
Xie, Ming

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-15

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Medicine

Abstract EN

Depression is a global mental disorder disease and greatly threatened human health and stress is considered to be one of the important factors that lead to depression.

In this study, we used newly developed iTRAQ labeling and high performance liquid chromatography (HPLC) and mass spectrum united analysis technology obtained the 2176 accurate proteins.

Successively, we used the GO analysis and IPA software to analyze the 98 differentially expressed proteins of liver in depression rats due to chronic restraint stress, showing a map of proteomics analysis of liver proteins from the aspects of related functions, disease and function analysis, canonical pathway analysis, and associated network.

This study provide important information for comprehensively understanding the mechanisms of dysfunction or injury in the liver in depression.

American Psychological Association (APA)

Li, Cong& Guo, Zhengguang& Ronghua, Zhao& Sun, Wei& Xie, Ming. 2017. Proteomic Analysis of Liver Proteins in a Rat Model of Chronic Restraint Stress-Induced Depression. BioMed Research International،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1138635

Modern Language Association (MLA)

Li, Cong…[et al.]. Proteomic Analysis of Liver Proteins in a Rat Model of Chronic Restraint Stress-Induced Depression. BioMed Research International No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1138635

American Medical Association (AMA)

Li, Cong& Guo, Zhengguang& Ronghua, Zhao& Sun, Wei& Xie, Ming. Proteomic Analysis of Liver Proteins in a Rat Model of Chronic Restraint Stress-Induced Depression. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1138635

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1138635