scholarly journals 15-Deoxy-Delta 12,14-prostaglandin J2 inhibits multiple steps in the NF-kappa B signaling pathway

2000 ◽  
Vol 97 (9) ◽  
pp. 4844-4849 ◽  
Author(s):  
D. S. Straus ◽  
G. Pascual ◽  
M. Li ◽  
J. S. Welch ◽  
M. Ricote ◽  
...  
2020 ◽  
Vol 15 ◽  
Author(s):  
Mingxuan Yang ◽  
Liangtao Zhao ◽  
Xuchang Hu ◽  
Haijun Feng ◽  
Xuewen Kang

Background: Osteosarcoma (OS) is one of the most common primary malignant bone tumors in teenagers. Emerging studies demonstrated TWEAK and Fn14 were involved in regulating cancer cell differentiation, proliferation, apoptosis, migration and invasion. Objective: The present study identified differently expressed mRNAs and lncRNAs after anti-TWEAK treatment in OS cells using GSE41828. Methods: We identified 922 up-regulated mRNAs, 863 downregulated mRNAs, 29 up-regulated lncRNAs, and 58 down-regulated lncRNAs after anti-TWEAK treatment in OS cells. By constructing PPI networks, we identified several key proteins involved in anti-TWEAK treatment in OS cells, including MYC, IL6, CD44, ITGAM, STAT1, CCL5, FN1, PTEN, SPP1, TOP2A, and NCAM1. By constructing lncRNAs coexpression networks, we identified several key lncRNAs, including LINC00623, LINC00944, PSMB8-AS1, LOC101929787. Result: Bioinformatics analysis revealed DEGs after anti-TWEAK treatment in OS were involved in regulating type I interferon signaling pathway, immune response related pathways, telomere organization, chromatin silencing at rDNA, and DNA replication. Bioinformatics analysis revealed differently expressed lncRNAs after antiTWEAK treatment in OS were related to telomere organization, protein heterotetramerization, DNA replication, response to hypoxia, TNF signaling pathway, PI3K-Akt signaling pathway, Focal adhesion, Apoptosis, NF-kappa B signaling pathway, MAPK signaling pathway, FoxO signaling pathway. Conclusion: : This study provided useful information for understanding the mechanisms of TWEAK underlying OS progression and identifying novel therapeutic markers for OS.


2020 ◽  
Vol 69 ◽  
pp. 109543 ◽  
Author(s):  
Jiangbo Jin ◽  
Zhuo Lu ◽  
Xiaomei Wang ◽  
Yufeng Liu ◽  
Tianyu Han ◽  
...  

2020 ◽  
pp. 1-13
Author(s):  
Chenglin Li ◽  
Yanfei Zhou ◽  
Hanshun Deng ◽  
Yuanshen Ye ◽  
Shuizhen Zhao ◽  
...  

BACKGROUND: Glioblastoma (GBM) is the most common and aggressive primary malignant brain tumor with a high mortality rate. Aberrant activation of signal transducers and activators of transcription (STAT) signaling results in tumor pathogenesis and progression by regulating cell cycle, cell survival and immune response. METHODS: Therapeutic targets and prognostic biomarkers within the STAT family in GBM were explored using web applications and databases. RESULTS: High levels of STAT1/3/5A/5B/6 and low levels of STAT4 were observed in GBM patients. GBM patients expressing high STAT1/2/3/5A/6 and low STAT4/5B levels had the worse overall survival. Among the STAT family, STAT4 and STAT6 were the most frequently mutated genes. A low to moderate correlation among members of the STAT family was observed. Additionally, the STATs were involved in activation or inhibition of cancer related pathways. Analysis of immune infiltrates showed STAT5A levels to be significantly correlated with abundance of immune cells and levels of immune gene biomarkers. Gene ontology (GO) functions and KEGG pathway analysis indicated that STAT5A is involved in immune response-regulating signaling pathway, neutrophil and lymphocyte mediated immunity, single-stranded DNA binding, cytokine-cytokine receptor interaction, NOD-like receptor signaling pathway, NF-kappa B signaling pathway and TNF signaling pathway. Moreover, several kinase and transcription factor targets of STAT5A in GBM were identified. CONCLUSION: We report here therapeutic targets, prognostic biomarkers and regulation network of STAT family in GBM. These findings lay a foundation for further studies on the role of STAT family in therapy and prognosis of GBM. Further studies are required to verify our results.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Lin Bu ◽  
Zi-wen Wang ◽  
Shu-qun Hu ◽  
Wen-jing Zhao ◽  
Xiao-juan Geng ◽  
...  

Neonatal sepsis is one of the most prevalent causes of death of the neonates. However, the mechanisms underlying neonatal sepsis remained unclear. The present study identified a total of 1128 upregulated mRNAs and 1008 downregulated mRNAs, 28 upregulated lncRNAs, and 61 downregulated lncRNAs in neonatal sepsis. Then, we constructed PPI networks to identify key regulators in neonatal sepsis, including ITGAM, ITGAX, TLR4, ITGB2, SRC, ELANE, RPLP0, RPS28, RPL26, and RPL27. lncRNA coexpression analysis showed HS.294603, LOC391811, C12ORF47, LOC729021, HS.546375, HNRPA1L-2, LOC158345, and HS.495041 played important roles in the progression of neonatal sepsis. Bioinformatics analysis showed DEGs were involved in the regulation cellular extravasation, acute inflammatory response, macrophage activation of NF-kappa B signaling pathway, TNF signaling pathway, HIF-1 signaling pathway, Toll-like receptor signaling pathway, and ribosome, RNA transport, and spliceosome. lncRNAs were involved in regulating ribosome, T cell receptor signaling pathway, RNA degradation, insulin resistance, ribosome biogenesis in eukaryotes, and hematopoietic cell lineage. We thought this study provided useful information for identifying novel therapeutic markers for neonatal sepsis.


2000 ◽  
Vol 97 (9) ◽  
pp. 4615-4620 ◽  
Author(s):  
B. Baumann ◽  
C. K. Weber ◽  
J. Troppmair ◽  
S. Whiteside ◽  
A. Israel ◽  
...  
Keyword(s):  

2018 ◽  
Vol Volume 12 ◽  
pp. 1281-1292 ◽  
Author(s):  
Rong Wang ◽  
Jing Wang ◽  
Fuxing Song ◽  
Shengnan Li ◽  
Yongfang Yuan

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