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Image Search Results
Journal: Diseases
Article Title: Impact of miR-181a on SIRT1 Expression and Senescence in Hutchinson–Gilford Progeria Syndrome
doi: 10.3390/diseases13080245
Figure Lengend Snippet: Interconnection between autophagy and inflammatory pathways. Under high-nutrient conditions, the mechanistic target of rapamycin (mTOR) is activated, leading to the inhibition of the autophagic pathway, which involves the initiation, elongation, maturation, and fusion of the autophagosome [ , , ]. Inflammation signaling typically results in the activation of NF-κB, which can occur through canonical or non-canonical mechanisms. The canonical activation of NF-κB is initiated by the binding of growth factors to tumor necrosis factor (TNF) or toll-like receptors (TLRs), which activate TNF receptor-associated factor (TRAF) proteins. This leads to the activation of the IKK complex, degradation of IKB, and translocation of the NF-ĸB1-RelA complex into the nucleus to activate proinflammatory genes. In contrast, the non-canonical pathway is triggered by signals from TNF receptors that activate the NF-ĸB-inducing kinase, leading to IKK activation [ , , , ]. TLR4 signaling also induces the JAK/STAT pathway, another critical component of inflammatory signaling [ , , ]. Autophagy and inflammation are connected through the DNA damage response. DNA damage activates the cytosolic DNA sensors cGAS and STING, which, in conjunction with ATM, can stimulate both inflammatory responses and autophagic vesicle formation, as well as the central cell-cycle regulator p53 [ , , , ]. Proteins analyzed by miRNA interactions are illustrated in green.
Article Snippet: Cultures were treated in the starving medium with 10 ng/ml transforming
Techniques: Inhibition, Activation Assay, Binding Assay, Translocation Assay
Journal: Diseases
Article Title: Impact of miR-181a on SIRT1 Expression and Senescence in Hutchinson–Gilford Progeria Syndrome
doi: 10.3390/diseases13080245
Figure Lengend Snippet: Identification and profiling of miRNAs regulating autophagy and inflammation pathways in control and HGPS. ( A ) Literature search procedure. Proteins from both autophagy and inflammation pathways were examined for miRNA regulation, and overlapping miRNAs were analyzed using RT-qPCR. ( B ) RT-qPCR analysis. miRNAs identified through text mining were analyzed in normal and HGPS fibroblasts during replicative senescence. Control fibroblasts (GMO1651c, GMO1652c, GMO3349c, GMO1582B) and HGPS fibroblasts (HGADFN127, HGADFN188, HGADFN003) were compared at passages with a replicative senescence under 5% (young) and over 20% (old) intragroup, as well as same-aged groups. Relative expression levels were normalized to U6 small nuclear 1 (RNU-6). Graphs show mean values ± standard deviation. Statistical significance was calculated using ANOVA with Tukey’s post hoc test (* p < 0.05, ** p < 0.01, (control: n = 4, HGPS: n = 3)). Non-significant changes are not indicated.
Article Snippet: Cultures were treated in the starving medium with 10 ng/ml transforming
Techniques: Control, Quantitative RT-PCR, Expressing, Standard Deviation
Journal: Diseases
Article Title: Impact of miR-181a on SIRT1 Expression and Senescence in Hutchinson–Gilford Progeria Syndrome
doi: 10.3390/diseases13080245
Figure Lengend Snippet: Elevated TGFβ1 levels in HGPS promote upregulation of miR-181a-5p expression. ( A ) TGFβ1 mRNA expression level in three control (GMO5565, GMO5757c, HGFDFN369) and HGPS (HGADFN127, HGADFN003, HGADFN164) fibroblast cell strains. Comparisons were made between the young and old stages intragroup as well as same-aged stages. Expression was normalized to GAPDH. ( B ) Representative immunofluorescence staining of the control cell line 5757c P18 with α-SMA following TGFβ1 treatment. Scale bar = 50 µm ( C ) Quantification of immunofluorescence signal in control (GMO5757c P18) and HGPS (HGADFN003 P12) cell strains. Comparisons were made between treated and non-treated samples. ( D ) Western blot of α-SMA and GAPDH as a loading control in control (GMO5757c P18) and HGPS (HGADN271 P11) cell strains. ( E ) Relative miR-181a-5p levels following TGFß1 treatment in three control (HGFDFN369, GMO5757c, GMO3349c) and HGPS (HGADFN271, HGADFN003, HGADFN164) cell strains with a senescence index <5%. Expression was normalized to U6 small nuclear 1 (RNU-6). Comparisons were made between treated and non-treated samples. ( A , C , E ) Graphs show mean values ± standard deviation. Statistical significance was calculated using ANOVA with Tukey’s post hoc test (* p < 0.05, ** p < 0.01, **** p < 0.0001 ( n = 3)).
Article Snippet: Cultures were treated in the starving medium with 10 ng/ml transforming
Techniques: Expressing, Control, Immunofluorescence, Staining, Western Blot, Standard Deviation
Journal: Scientific Reports
Article Title: TGFβ1 secreted by cancer-associated fibroblasts induces epithelial-mesenchymal transition of bladder cancer cells through lncRNA-ZEB2NAT
doi: 10.1038/srep11924
Figure Lengend Snippet: A : TGFβ1 in conditional mediums secreted by 5637 (CTRL), NF and CAF cells were quantified by ELISA. B : The mRNA expression levels of TGFβ1 in CAFs, NFs and three bladder cancer cell lines by qRT-PCR using β-actin gene as the normalization control. C : The expression of phosphorylated Smad2 and total Smad2 protein in the CAF-CM treated bladder cancer cell lines by immunoblotting. β-actin protein was used as the loading control. D : The expression levels of TGFβ1 and TGFβRII in bladder cancer cell lines cultured with CAF-CM were detected by qRT-PCR using β-actin gene as the normalization control. *** P < 0.001.
Article Snippet: The concentrations of TGFβ1 in different media were measured using
Techniques: Enzyme-linked Immunosorbent Assay, Expressing, Quantitative RT-PCR, Control, Western Blot, Cell Culture
Journal: Scientific Reports
Article Title: TGFβ1 secreted by cancer-associated fibroblasts induces epithelial-mesenchymal transition of bladder cancer cells through lncRNA-ZEB2NAT
doi: 10.1038/srep11924
Figure Lengend Snippet: A : Summary of altered expression of lncRNAs in the CAF-CM-treated 5637 and J82 cells, comparing to the NF-CM-treated ones. 1.5-fold of relative mRNA level using qRT-PCR, normalized by β-actin gene, was used as the threshold for significant changes. B and C : ZEB2NAT expression levels in the CAF-CM treated 5637 and J82 cells upon the treatments of a TGFβ1 neutralizing antibody ( B ) and a TGFβRI inhibitor (SB-431542) ( C ), respectively. D : Exogenous expression of ZEB2NAT lncRNA in 5637 cells, detected by qRT-PCR using β-actin gene as the normalization control. E – G : Effects of ZEB2NAT lncRNAs overexpression on cell invasion by the Transwell invasion assay ( E , F ) and protein levels of E-cadherin, ZEB1 and ZEB2 by immunoblotting ( G ) in 5637 cells. H: Knockdown of ZEB2NAT by RNAi using two siRNAs targeting different regions of the lncRNA (siZEB2NAT-1 and siZEB2NAT-2) in 5637 cells. The relative ZEB2NAT expression levels were at 48 hours after siRNA transfection and determined by qRT-PCR using β-actin gene as the normalization control. I , J , K : Effects of ZEB2NAT lncRNAs knockdown on cell invasion by the Transwell invasion assay ( I , J ) and protein levels of E-cadherin and ZEB2 by immunoblotting ( K ) in the CAF-CM treated 5637 cells. * P < 0.05, ** P < 0.01, *** P < 0.001.
Article Snippet: The concentrations of TGFβ1 in different media were measured using
Techniques: Expressing, Quantitative RT-PCR, Control, Over Expression, Transwell Invasion Assay, Western Blot, Knockdown, Transfection
Journal: Scientific Reports
Article Title: TGFβ1 secreted by cancer-associated fibroblasts induces epithelial-mesenchymal transition of bladder cancer cells through lncRNA-ZEB2NAT
doi: 10.1038/srep11924
Figure Lengend Snippet: The expression levels of ZEB2NAT ( A ) and TGFβ1 transcripts ( B ), and ZEB2 protein ( C ) in 30 human bladder cancer tissues (Tumor or T) and the paired normal tissues (Normal or N) from the same patient. Relative ZEB2NAT and TGFβ1 mRNA levels were assessed by qRT-PCR and normalized by β-actin gene. D – F : The correlations among ZEB2NAT, TGFβ1 and ZEB2 were decided by Pearson correlation analysis. ΔCT values in qRT-PCR were used as the expression levels of ZEB2NAT and TGFβ1 transcripts. ZEB2 protein bands on Western blot were quantified by Image J software. P < 0.05 was considered statistically significant.
Article Snippet: The concentrations of TGFβ1 in different media were measured using
Techniques: Expressing, Quantitative RT-PCR, Western Blot, Software