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Bioinformatics analysis of ferroptosis in spinal cord injury 被引量:8
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作者 Jin-Ze Li Bao-You Fan +8 位作者 Tao Sun Xiao-Xiong Wang Jun-Jin Li Jian-Ping Zhang Guang-Jin Gu Wen-Yuan Shen De-Rong Liu Zhi-Jian Wei Shi-Qing Feng 《Neural Regeneration Research》 SCIE CAS CSCD 2023年第3期626-633,共8页
Ferroptosis plays a key role in aggravating the progression of spinal cord injury(SCI),but the specific mechanism remains unknown.In this study,we constructed a rat model of T10 SCI using a modified Allen method.We id... Ferroptosis plays a key role in aggravating the progression of spinal cord injury(SCI),but the specific mechanism remains unknown.In this study,we constructed a rat model of T10 SCI using a modified Allen method.We identified 48,44,and 27 ferroptosis genes that were differentially expressed at 1,3,and 7 days after SCI induction.Compared with the sham group and other SCI subgroups,the subgroup at 1 day after SCI showed increased expression of the ferroptosis marker acyl-CoA synthetase long-chain family member 4 and the oxidative stress marker malondialdehyde in the injured spinal cord while glutathione in the injured spinal cord was lower.These findings with our bioinformatics results suggested that 1 day after SCI was the important period of ferroptosis progression.Bioinformatics analysis identified the following top ten hub ferroptosis genes in the subgroup at 1 day after SCI:STAT3,JUN,TLR4,ATF3,HMOX1,MAPK1,MAPK9,PTGS2,VEGFA,and RELA.Real-time polymerase chain reaction on rat spinal cord tissue confirmed that STAT3,JUN,TLR4,ATF3,HMOX1,PTGS2,and RELA mRNA levels were up-regulated and VEGFA,MAPK1 and MAPK9 mRNA levels were down-regulated.Ten potential compounds were predicted using the DSigDB database as potential drugs or molecules targeting ferroptosis to repair SCI.We also constructed a ferroptosis-related mRNA-miRNA-lncRNA network in SCI that included 66 lncRNAs,10 miRNAs,and 12 genes.Our results help further the understanding of the mechanism underlying ferroptosis in SCI. 展开更多
关键词 bioinformatics drug ferroptosis gene ontology enrichment analysis gene-miRNA network Kyoto Encyclopedia of genes and Genomes pathway mRNA-miRNA-lncRNA network progression spinal cord injury
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Prediction of the anti-inflammatory mechanisms of curcumin by module-based protein interaction network analysis 被引量:5
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作者 Yanxiong Gan Shichao Zheng +5 位作者 Jan P.A.Baak Silei Zhao Yongfeng Zheng Nini Luo Wan Liao Chaomei Fu 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2015年第6期590-595,共6页
Curcumin,the medically active component from Curcuma longa(Turmeric),is widely used to treat inflammatory diseases.Protein interaction network(PIN) analysis was used to predict its mechanisms of molecular action.Targe... Curcumin,the medically active component from Curcuma longa(Turmeric),is widely used to treat inflammatory diseases.Protein interaction network(PIN) analysis was used to predict its mechanisms of molecular action.Targets of curcumin were obtained based on ChE MBL and STITCH databases.Protein–protein interactions(PPIs) were extracted from the String database.The PIN of curcumin was constructed by Cytoscape and the function modules identified by gene ontology(GO) enrichment analysis based on molecular complex detection(MCODE).A PIN of curcumin with 482 nodes and 1688 interactions was constructed,which has scale-free,small world and modular properties.Based on analysis of these function modules,the mechanism of curcumin is proposed.Two modules were found to be intimately associated with inflammation.With function modules analysis,the anti-inflammatory effects of curcumin were related to SMAD,ERG and mediation by the TLR family.TLR9 may be a potential target of curcumin to treat inflammation. 展开更多
关键词 CURCUMIN Protein interaction network MODULE ANTI-INFLAMMATORY Molecular mechanism gene ontology enrichment analysis Molecular complex detection Cytoscape
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