Ontology highlight
ABSTRACT:
PROVIDER: PRJNA507245 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8248834.fastq.gz | Fastqsanger.gz | |||
| SRR8248835.fastq.gz | Fastqsanger.gz | |||
| SRR8248836.fastq.gz | Fastqsanger.gz | |||
| SRR8248837.fastq.gz | Fastqsanger.gz | |||
| SRR8248838.fastq.gz | Fastqsanger.gz |
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Project description:microRNA-dependent regulation of biomechanical genes establishes tissue stiffness homeostasis
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Project description:To investigate the influence of stiffness as a major Bruch's membrane characteristic on the RPE transcriptome and morphology. ARPE-19 cells were plated on soft or stiff polyacrylamide gels (PA gels) or standard tissue culture plastic (TCP). We then performed gene expression profiling analysis using data obtained from Next-generation sequencing of small RNAs of ARPE-19 cells cultured on 3 different biomechanical conditions.
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Project description:Purpose: Endothelial cells respond to changes in subendothelial stiffness altering their proliferation, migration and barrier integrity but whether that is due to transcriptional reprogramming was largely unknown. Using RNA-Sequencing, we performed gene expression profiling for two endothelial cell types grown on soft or stiff matrices: primary human umbilical vein endothelial cells (HUVEC) and immortalized human microvascular endothelial cells (HMEC-1), to understand whether subendothelial stiffness-dependent changes in endothelial cell mechanics are due to transcriptional regulation. Methods and Results: By analyzing the differentially expressed genes between all samples we found that endothelial cell type rather that subendothelial stiffness is the primary determinant of the endothelial cell transcriptome. Both cell types respond to changes in their subendothelial stiffness by increasing the traction stresses they exert on stiffer as opposed to softer matrices, however it is apparently not the endothelial cell transcriptome that regulates this universal biomechanical response to subendothelial stiffness. Only a handful of genes were differentially expressed in each cell type in a stiffness-dependent manner, and none were shared between the two cell types examined. In contrast, thousands of genes were differentially regulated in HUVEC as compared to HMEC-1. HUVEC (but not HMEC-1) upregulate expression of TGF-2 on stiffer matrices, and also enhance their endogenous TGF-2 expression and their cell-matrix traction stresses in response to application of exogenous TGF-2. Conclusions: Altogether, these findings provide insights into the relationship between subendothelial stiffness, endothelial mechanics and variation of the transcriptome between distinct endothelial cell types, and reveal that subendothelial stiffness while critically impacting endothelial cell mechanics is minimally altering their transcriptome.
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Project description:In the short two decades since microRNAs (miRNAs) were discovered, scientists have focused more attention on the biological field of miRNAs. A deeper understanding of the role of miRNAs in development and disease has made miRNAs a powerful tool and target for new therapeutic approaches. However, whether miRNAs are involved in the response of ASMCs to high stretch and high matrix stiffness and their underlying mechanisms remain unclear, especially the relationship between the expression of miRNAs and the biomechanical behavior of ASMCs remains unclear. In this study, we combined bioinformatics and cell mechanics approaches to screen stretch-sensitive and matrix stiffness-sensitive miRNAs and investigate their effects on the biomechanical behaviors of ASMCs.
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Project description:To investigate the influence of stiffness as a major Bruch's membrane characteristic on the RPE transcriptome and morphology. ARPE-19 cells were plated on soft or stiff polyacrylamide gels (PA gels) or standard tissue culture plastic (TCP). We then performed gene expression profiling analysis using data obtained from Next-generation sequencing of small RNAs of ARPE-19 cells cultured on 3 different biomechanical conditions.
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Project description:In this study we report the establishment and characterization of a three-dimensional in vitro, coculture engineered prostate cancer tissue (EPCaT) disease model based upon and informed by our characterization of in vivo prostate cancer (PCa) xenograft tumor stiffness. In prostate cancer, tissue stiffness is known to impact changes in gene and protein expression, alter therapeutic response, and be positively correlated with an aggressive clinical presentation. To inform an appropriate stiffness range for our in vitro model, PC-3 prostate tumor xenografts were established. Tissue stiffness ranged from 95 to 6,750 Pa. Notably, xenograft cell seeding density significantly impacted tumor stiffness; a two-fold increase in the number of seeded cells not only widened the tissue stiffness range throughout the tumor, but also resulted in significant spatial heterogeneity. To fabricate our in vitro EPCaT model, PC-3 castration-resistant prostate cancer cells were co-encapsulated with BJ-5ta fibroblasts within a poly(ethylene glycol)-fibrinogen matrix augmented with excess poly(ethylene glycol)-diacrylate to modulate the matrix mechanical properties. Encapsulated cells temporally remodeled their in vitro microenvironment and enrichment of gene sets associated with tumorigenic progression was observed in response to increased matrix stiffness. Through variation of matrix composition and culture duration, EPCaTs were tuned to mimic the wide range of biomechanical cues provided to PCa cells in vivo; collectively, a range of 50 to 10,000 Pa was achievable. Markedly, this also encompasses published clinical PCa stiffness data. Overall, this study serves to introduce our bioinspired, tunable EPCaT model and provide the foundation for future PCa progression and drug development studies.
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