白术黄芪汤分子网络及细胞免疫作用的生物信息学分析

郭晴晴; 李立; 何小鹃; 吕爱平; 马超英

doi:10.13422/j.cnki.syfjx.2016140206

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白术黄芪汤分子网络及细胞免疫作用的生物信息学分析

数据挖掘 | 更新时间：2024-01-04

- 白术黄芪汤分子网络及细胞免疫作用的生物信息学分析
- Bioinformatic Analysis on Molecular Network and Cellular Immune Effect of Baizhu Huangqi Tang
- 中国实验方剂学杂志 2016年22卷第14期页码：206-210
- 作者机构：
- 作者简介：
- 基金信息：
  
  国家中医药行业科研专项（200907001-4）;国际科技合作专项（2014DFG32700）;国家自然科学基金青年项目（81503388）;中国中医科学院基本科研业务费自主选题项目（Z0294）
- DOI：10.13422/j.cnki.syfjx.2016140206
  中图分类号： R285
- 纸质出版日期：2016
- 稿件说明：
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郭晴晴, 李立, 何小鹃, 等. 白术黄芪汤分子网络及细胞免疫作用的生物信息学分析[J]. 中国实验方剂学杂志, 2016,22(14):206-210.

GUO Qing-qing, LI Li, HE Xiao-juan, et al. Bioinformatic Analysis on Molecular Network and Cellular Immune Effect of Baizhu Huangqi Tang[J]. Chinese journal of experimental traditional medical formulae, 2016, 22(14): 206-210.
郭晴晴, 李立, 何小鹃, 等. 白术黄芪汤分子网络及细胞免疫作用的生物信息学分析[J]. 中国实验方剂学杂志, 2016,22(14):206-210. DOI： 10.13422/j.cnki.syfjx.2016140206.

GUO Qing-qing, LI Li, HE Xiao-juan, et al. Bioinformatic Analysis on Molecular Network and Cellular Immune Effect of Baizhu Huangqi Tang[J]. Chinese journal of experimental traditional medical formulae, 2016, 22(14): 206-210. DOI： 10.13422/j.cnki.syfjx.2016140206.

摘要

目的：利用生物信息学方法分析白术黄芪汤的分子网络及与细胞免疫相关的生物通路，为白术黄芪汤免疫调节机制研究提供思路和依据。方法：利用在线数据库查找白术黄芪汤组方中药含有的化学成分，在PubChem数据库检索化学成分的靶蛋白，将靶蛋白上传至生物信息分析软件，分析上传的靶蛋白构成的分子网络及与细胞免疫相关的生物通路。结果：共检索到白术黄芪汤化学成分的靶蛋白61个，构建成6个分子网络，得到多条与细胞免疫相关的生物通路，前3个生物通路分别是Calcium-induced T Lymphocyte Apoptosis，CCR5 Signaling in Macrophages和IL-12 Signaling and Producing in Macrophages。参与前3个生物通路的白术黄芪汤的靶蛋白包括T细胞抗原受体（T cell receptor，TCR），蛋白激酶C（protein kinase C，PKC），过氧化物酶体增殖物激活受体gamma（peroxisome proliferator activated receptor gamma，PPARG）。结论：通过生物信息学分析，得到了白术黄芪汤的复杂分子网络及与细胞免疫相关的生物通路，为其免疫调节机制研究提供了一定的思路和依据。

Abstract

Objective: To analyze the molecular network and biological pathways related to cellular immune of Baizhu Huangqi Tang (BZHQT) by using bioinformatic method

and provide ideas and basis for the immunomodulatory mechanism study of BZHQT. Method: On-line databases were searched for the chemical ingredients of BZHQT prescription. Target proteins related with each ingredient were found in PubChem. Then

these target proteins were uploaded to bioinformatic analysis software. Finally

the molecular networks of the target proteins and their biological pathways related to cellular immune were analyzed. Result: Sixty-one target proteins of the chemical ingredients were searched from BZHQT and six molecular networks of BZHQT were obtained. Multiple biological pathways related to cellular immune were obtained

and the top 3 pathways were Calcium-induced T Lymphocyte Apotosis

CCR5 Signaling in Mcrophages and IL-12 Signaling and Production in Macrophages. Target proteins of BZHQT that participated in above three signaling pathways included T cell receptor (TCR)

protein kinase C (PKC)

and peroxisome proliferator activated receptor gamma (PPARG). Conclusion: Complicated molecular networks and signaling pathways related to cellular immune of BZHQT were obtained. We providing ideas and basis for study of immunomodulatory mechanism of BZHQT.

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