We demonstrated the effect of resveratrol on porcine primary preadipocytes apoptosis, to study the intracellular molecular mechanism. Porcine primary preadipocyte was treated with different concentration of resveratrol (0 micromol/L, 50 micromol/L, 100 micromol/L, 200 micromol/L, 400 micromol/L). We used optical microscope and fluorescence microscope to observe morphological changes during apoptosis after Hoechst 33258 Fluorescent dyes staining; and RT-PCR and Western blotting to measure the expression of apoptosis-associated gene sirt1, caspase-3, bcl-2, bax, p53, NF-kappaB. Primary preadipocyte apoptosis was apparent, accompanied by reduced cell volume, chromatin condensation, and nuclear shrinkage. Compared to the control and low concentration group, high dose group (200 micromol/L) significantly increased the ratio of primary preadipocyte apoptosis. The expression of sirt1, caspase-3, and bax was up-regulated markedly in response to resveratrol; in contrast, apoptotic inhibitor bcl-2, p53, NF-kappaB down-regulated. We further proved fact that resveratrol can specifically promote the activity of sirt1; moreover, activated sirt1 modulates the activity of caspase-3 and bcl-2 family, involving in transcriptional regulation of p53 and NF-kappaB through antagonizing factor-induced acetylation. Taken together, our data established resveratrol as new regulator in porcine primary preadipocyte apoptosis via activating the expression of sirt1, modulating activity of apoptotic-associated factor.
HER2, which is associated with clinically aggressive disease, is overexpressed in 15-20% of breast cancers (BC). The host immune system participates in the therapeutic response of HER2+ breast cancer. Identifying genetic programs that participate in ErbB2-induced tumors may provide the rational basis for co-extinction therapeutic approaches. Peroxisome proliferator-activated receptor γ (PPARγ), which is expressed in a variety of malignancies, governs biological functions through transcriptional programs. Herein, genetic deletion of endogenous Pparγ1 restrained mammary tumor progression, lipogenesis, and induced local mammary tumor macrophage infiltration, without affecting other tissue hematopoietic stem cell pools. Endogenous Pparγ1 induced expression of both an EphA2-Amphiregulin and an inflammatory INFγ and Cxcl5 signaling module, that was recapitulated in human breast cancer. Pparγ1 bound directly to growth promoting and proinflammatory target genes in the context of chromatin. We conclude Pparγ1 promotes ErbB2-induced tumor growth and inflammation and represents a relevant target for therapeutic coextinction. Herein, endogenous Pparγ1 promoted ErbB2-mediated mammary tumor onset and progression. PPARγ1 increased expression of an EGF-EphA2 receptor tyrosine kinase module and a cytokine/chemokine 1 transcriptional module. The induction of a pro-tumorigenic inflammatory state by Pparγ1 may provide the rationale for complementary coextinction programs in ErbB2 tumors.
Abstract Backgroud: Clear cell renal cell carcinoma(ccRCC) is the most common type with poor prognosis in kidney tumor. Growing evidence has indicated that aberrant alternative splicing (AS) events are efficacious signatures for tumor prognosis predicting and therapeutic targets. Systematic and comprehensive analysis of AS in ccRCC is in urgent need. Methods: Level 3 RNA-seq data were acquired from TCGA data portal and the AS profiles were performed with assistance of SpliceSeq software. Univariate cox regression analysis was applied for screening prognosis-related AS events. Gene functional enrichment analysis revealed the pathways enriched by prognosis-related AS. The final AS panel was developed by LASSO-penalized method for predicting prognosis and compared with traditional clinical factors. The potential regulatory network was analyzed via Spearman correlation between splicing factors (SFs). Results: A total of 2100 survival-associated AS events were filtered from 1666 parent genes. Gene functional enrichment analysis suggested that the regulation of autophagy could be a potential mechanism of splicing regulatory in ccRCC. 17 aberrant AS events formed the final AS panel which can estimate OS probability in ccRCC patients. The AUC values of ROC curves for the final AS panel can keep above 0.7 spanning 1 year to 5 years. Conclusion: We developed a robust and individualized predictive model based on large-scale sequencing data. The identified vital AS events and splicing networks may be valuable in deciphering the potential mechanisms of AS on tumorigenesis of ccRCC.
Glioblastoma multiforme (GBM) is the most common aggressive malignant brain tumor. However, the molecular mechanism of glioblastoma formation is still poorly understood. To identify candidate genes that may be connected to glioma growth and development, weighted gene co-expression network analysis (WGCNA) was performed to construct a gene co-expression network between gene sets and clinical characteristics. We also explored the function of the key candidate gene.Two GBM datasets were selected from GEO Datasets. The R language was used to identify differentially expressed genes. WGCNA was performed to construct a gene co-expression network in the GEO glioblastoma samples. A custom Venn diagram website was used to find the intersecting genes. The GEPIA website was applied for survival analysis to determine the significant gene, FUBP3. OS, DSS, and PFI analyses, based on the UCSC Cancer Genomics Browser, were performed to verify the significance of FUBP3. Immunohistochemistry was performed to evaluate the expression of FUBP3 in glioblastoma and adjacent normal tissue. KEGG and GO enrichment analyses were used to reveal possible functions of FUBP3. Microenvironment analysis was used to explore the relationship between FUBP3 and immune infiltration. Immunohistochemistry was performed to verify the results of the microenvironment analysis.GSE70231 and GSE108474 were selected from GEO Datasets, then 715 and 694 differentially expressed genes (DEGs) from GSE70231 and GSE108474, respectively, were identified. We then performed weighted gene co-expression network analysis (WGCNA) and identified the most downregulated gene modules of GSE70231 and GSE108474, and 659 and 3915 module genes from GSE70231 and GSE108474, respectively, were selected. Five intersection genes (FUBP3, DAD1, CLIC1, ABR, and DNM1) were calculated by Venn diagram. FUBP3 was then identified as the only significant gene by survival analysis using the GEPIA website. OS, DSS, and PFI analyses verified the significance of FUBP3. Immunohistochemical analysis revealed FUBP3 expression in GBM and adjacent normal tissue. KEGG and GO analyses uncovered the possible function of FUBP3 in GBM. Tumor microenvironment analysis showed that FUBP3 may be connected to immune infiltration, and immunohistochemistry identified a positive correlation between immune cells (CD4 + T cells, CD8 + T cells, and macrophages) and FUBP3.FUBP3 is associated with immune surveillance in GBM, indicating that it has a great impact on GBM development and progression. Therefore, interventions involving FUBP3 and its regulatory pathway may be a new approach for GBM treatment.
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