Project description:Purpose: Explore IL-17B target genes expression via next-generation sequencing (NGS) in mouse lung tissues. Methods: Overexpress IL-17B in mouse lung tissues via intranasal injection of adenovirus encoding IL-17B (Adv-IL-17B) and empty virus (Adv-EV). Three days after infection lung tisses were removed for RNA collection. Five samples per group were mixed to one sample and used for next RNA purification. RNA samples were then used for high-throughput sequencing according to standard operation based on RNA Hiseq 4000. Results: Using an optimized data analysis workflow, we mapped about 13 million sequence reads per sample to the mouse genome (build mm10) and identified 269 upregulated and 99 downregulated genes in lung after IL-17B overexpression. RNA-seq data had a linear relationship with qRT–PCR for more than four orders of magnitude and a goodness of fit (R2) of 0.8798. Altered expression of 20 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to lung inflammation and infection. Data analysis with BWA and TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: Our study represents the first detailed analysis of IL-17B induced downstream genes with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. We conclude that RNA-seq based downstream genes characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
Project description:Recombinant IL-17B (rIL-17B) promoted the sphere formation ability of CSCs in vitro and enhanced tumor growth and metastasis in vivo. Furthermore, the activation of autophagy was critically involved in IL-17B/IL-17RB-mediated regulation of CSC functions.
Project description:Compare the expression pattern of 17b-estradiol responsive genes in parent, OHT-resistant and ICI-resistant breast cancer cells. Keywords: 17b-estradiol responsive genes, OHT resistance, Fulvestrand resistance
Project description:YAP and TAZ are transcription cofactors implicated in the contractile and pro-fibrotic activation of fibroblasts. Fibroblast contractile function is important in alveologenesis, as well as in lung wound healing and fibrosis. As paralogs, YAP and TAZ may have independent or redundant roles in regulating transcriptional programs and contractile function. Using IMR-90 lung fibroblasts, microarray analysis and traction microscopy we tested whether independent YAP or TAZ knockdown alone was sufficient to limit transcriptional activation and contraction in vitro.
Project description:Here, we use a transcriptomic apprach to identify genes associated with variation in muscle contractile physiology differences among different muscles of the same individual.
Project description:Connexin 43 (Cx43) plays a crucial role in maintaining synchronous contraction in the heart. However, it remains unclear whether Cx43 directly influences the contractile force and synchrony of entire cardiac tissues. Previously, we successfully developed human-induced pluripotent stem cell (hiPSC)-derived cardiac tissues capable of directly measuring both the contractile force of the entire tissue and cellular synchrony within it. This study aimed to evaluate whether regulating GJA1, the gene encoding Cx43, could enhance contractility and synchrony in these tissues. Using adeno-associated virus (AAV), we mediated GJA1 overexpression (OE) or knockdown (shGJA1) in bioengineered hiPSC-derived cardiac tissues. Under electrical stimulation at 60 ppm, there were no significant differences in contractile force between the AAV-GJA1-OE and control tissues (0.78 ± 0.39 vs. 0.98 ± 0.43 mN, p = 0.32). Synchrony levels were also similar between these groups (p = 0.20). In contrast, shGJA1 tissues demonstrated significantly higher contractile force compared to scramble controls (1.55 ± 0.38 vs. 1.20 ± 0.15 mN, p = 0.039), although the difference in synchrony was not statistically significant (p = 0.08). RNA sequencing data revealed that a total of 37,199 genes were detected, comparing AAV6-GFP control and GJA1-OE treated hiPSC-CMs, as well as AAV6-shRNA scramble and shGJA1 treated hiPSC-CMs. We highlighted several candidate genes potentially contributing to the enhanced contractile force observed in the shGJA1 group. Furthermore, nineteen common genes were identified between the upregulation of shGJA1 compared to scramble and downregulation of GJA1-OE compared to control, which were associated with cell proliferation, transcription, contraction, and BMP signaling pathways. In conclusion, Cx43-OE did not appear to influence contractility and synchrony, meanwhile, Cx43 suppression may effectively improve contractility without impairing the synchrony in the entire cardiac tissues. Cx43 expression beyond a certain threshold may be sufficient to maintain synchronous contraction in the tissues.