Literature DB >> 24123051

Protein expression profiling during wallerian degeneration after rat sciatic nerve injury.

Meiyuan Li1, Pingan Zhang, Weimin Guo, Huaiqin Li, Xiaosong Gu, Dengbing Yao.   

Abstract

INTRODUCTION: Wallerian degeneration (WD) is an important area of research in modern neuroscience. Many protein expressions are regulated by differentially expressed genes in WD, but the precise mechanisms are elusive.
METHODS: In this study, we profiled differentially expressed proteins in WD after rat sciatic nerve injury using an antibody array.
RESULTS: Functional analysis positively identified cell proliferation, regulation of cell proliferation, and immune system processes. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed molecular networks related mainly to cytokine-cytokine receptor interaction, the mitogen-activated proteinkinase (MAPK) signaling pathway, apoptosis, the toll-like receptor (TLR) signaling pathway, and the Janus kinase (Jak) - signal transducer and activator of transcription (STAT) signaling pathway. Interactions between these differential proteins were well established and regulated by the key factors transforming growth factor beta 1 (TGF-β1), toll-like receptor 4 (TLR4), Fas ligand (FasL), and 5'-AMP-activated protein kinase catalytic subunit alpha-1 (PRKAA1).
CONCLUSIONS: These results provide information related to functional analysis of differentially expressed genes during WD.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  Wallerian degeneration; antibody arrays; bioinformatic analysis; protein expression; rat; sciatic nerve

Mesh:

Substances:

Year:  2014        PMID: 24123051     DOI: 10.1002/mus.24082

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  15 in total

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Journal:  Cell Transplant       Date:  2016-11-23       Impact factor: 4.064

2.  Dysregulated Transcription Factor TFAP2A After Peripheral Nerve Injury Modulated Schwann Cell Phenotype.

Authors:  Fuchao Zhang; Xiaokun Gu; Sheng Yi; Hui Xu
Journal:  Neurochem Res       Date:  2019-10-25       Impact factor: 3.996

3.  Genetic changes in rat proximal nerve stumps after sciatic nerve transection.

Authors:  Leilei Gong; Dong Wang; Lilei Zhang; Xiaoying Xie; Hualin Sun; Jun Gu
Journal:  Ann Transl Med       Date:  2019-12

4.  The effects of claudin 14 during early Wallerian degeneration after sciatic nerve injury.

Authors:  Leilei Gong; Yun Zhu; Xi Xu; Huaiqin Li; Weimin Guo; Qin Zhao; Dengbing Yao
Journal:  Neural Regen Res       Date:  2014-12-15       Impact factor: 5.135

5.  Deep Sequencing and Bioinformatic Analysis of Lesioned Sciatic Nerves after Crush Injury.

Authors:  Sheng Yi; Honghong Zhang; Leilei Gong; Jiancheng Wu; Guangbin Zha; Songlin Zhou; Xiaosong Gu; Bin Yu
Journal:  PLoS One       Date:  2015-12-02       Impact factor: 3.240

6.  Ingenuity Pathway Analysis of Gene Expression Profiles in Distal Nerve Stump following Nerve Injury: Insights into Wallerian Degeneration.

Authors:  Jun Yu; Xiaosong Gu; Sheng Yi
Journal:  Front Cell Neurosci       Date:  2016-12-06       Impact factor: 5.505

7.  Effect of Spp1 on nerve degeneration and regeneration after rat sciatic nerve injury.

Authors:  Xingyu Liu; Yuhua Sun; Huaiqin Li; Yuting Li; Meiyuan Li; Ying Yuan; Shusen Cui; Dengbing Yao
Journal:  BMC Neurosci       Date:  2017-03-07       Impact factor: 3.288

8.  Microarray and qPCR Analyses of Wallerian Degeneration in Rat Sciatic Nerves.

Authors:  Sheng Yi; Xin Tang; Jun Yu; Jie Liu; Fei Ding; Xiaosong Gu
Journal:  Front Cell Neurosci       Date:  2017-02-10       Impact factor: 5.505

9.  Analysis of temporal expression profiles after sciatic nerve injury by bioinformatic method.

Authors:  Yichong Zhang; Yuanbo Zhan; Na Han; Yuhui Kou; Xiaofeng Yin; Peixun Zhang
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

10.  Critical signaling pathways during Wallerian degeneration of peripheral nerve.

Authors:  Qiong Cheng; Ya-Xian Wang; Jun Yu; Sheng Yi
Journal:  Neural Regen Res       Date:  2017-06       Impact factor: 5.135

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