Literature DB >> 35796899

Identification of Ferroptotic Genes in Spinal Cord Injury at Different Time Points: Bioinformatics and Experimental Validation.

Yu Kang1, Qiangwei Li2, Rui Zhu1,3, Shuang Li1,4, Xin Xu1, Xuanming Shi5, Zongsheng Yin6,7.   

Abstract

Programmed cell death (PCD) is an important pathologic process after spinal cord injury (SCI). As a new type of PCD, ferroptosis is involved in the secondary SCI. However, the underlying molecular mechanism remains unclear. In this study, we validated ferroptotic phenotype in an animal model of SCI. Then, the bioinformatic analyses performed on a microarray data of SCI (GSE45006). KEGG analysis suggested that the pathways of mTOR, HIF-1, VEGF, and protein process in endoplasmic reticulum were involved in SCI-induced ferroptosis. GO analysis revealed that oxidative stress, amide metabolic process, cation transport, and cytokine production were essential biological processes in ferroptosis after SCI. We highlighted five genes including ATF-3, XBP-1, HMOX-1, DDIT-3, and CHAC-1 as ferroptotic key gene in SCI. These results contribute to exploring the ferroptotic mechanism underlying the secondary SCI and providing potential targets for clinical treatment.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Animal experiment; Bioinformatics; Ferroptotic genes; Spinal cord injury

Mesh:

Year:  2022        PMID: 35796899     DOI: 10.1007/s12035-022-02935-y

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.682


  27 in total

1.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

2.  Identification of Regeneration and Hub Genes and Pathways at Different Time Points after Spinal Cord Injury.

Authors:  Sheng Fang; An-Quan Wang; Lin Zhong; Hui Zhang; Zong-Sheng Yin
Journal:  Mol Neurobiol       Date:  2021-01-23       Impact factor: 5.590

3.  Erythropoietin-Induced Autophagy Protects Against Spinal Cord Injury and Improves Neurological Function via the Extracellular-Regulated Protein Kinase Signaling Pathway.

Authors:  Lin Zhong; Hui Zhang; Zheng-Fei Ding; Jian Li; Jin-Wei Lv; Zheng-Jun Pan; De-Xiang Xu; Zong-Sheng Yin
Journal:  Mol Neurobiol       Date:  2020-07-09       Impact factor: 5.590

Review 4.  Spasticity after spinal cord injury.

Authors:  M M Adams; A L Hicks
Journal:  Spinal Cord       Date:  2005-10       Impact factor: 2.772

5.  A sensitive and reliable locomotor rating scale for open field testing in rats.

Authors:  D M Basso; M S Beattie; J C Bresnahan
Journal:  J Neurotrauma       Date:  1995-02       Impact factor: 5.269

Review 6.  The role of mTOR signaling pathway in spinal cord injury.

Authors:  Haruo Kanno; Hiroshi Ozawa; Akira Sekiguchi; Seiji Yamaya; Satoshi Tateda; Kenichiro Yahata; Eiji Itoi
Journal:  Cell Cycle       Date:  2012-08-16       Impact factor: 4.534

7.  Interplay between MTOR and GPX4 signaling modulates autophagy-dependent ferroptotic cancer cell death.

Authors:  Yang Liu; Yuan Wang; Jiao Liu; Rui Kang; Daolin Tang
Journal:  Cancer Gene Ther       Date:  2020-05-27       Impact factor: 5.987

8.  Exploring the Molecular Mechanisms of Pterygium by Constructing lncRNA-miRNA-mRNA Regulatory Network.

Authors:  Nuo Xu; Yi Cui; Jiaxing Dong; Li Huang
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-07-01       Impact factor: 4.799

9.  HBO-PC Promotes Locomotor Recovery by Reducing Apoptosis and Inflammation in SCI Rats: The Role of the mTOR Signaling Pathway.

Authors:  Huiqiang Chen; Guoshen Xu; You Wu; Xinyu Wang; Fei Wang; Ying Zhang
Journal:  Cell Mol Neurobiol       Date:  2020-07-26       Impact factor: 5.046

10.  paraGSEA: a scalable approach for large-scale gene expression profiling.

Authors:  Shaoliang Peng; Shunyun Yang; Xiaochen Bo; Fei Li
Journal:  Nucleic Acids Res       Date:  2017-09-29       Impact factor: 16.971

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