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Project description:Endothelial cells in blood vessels in the kidney exert different functions depending on the (micro)vascular bed they are located in. The present study aimed to investigate microRNA and mRNA transcription patterns that underlie these differences. We zoomed in on microvascular compartments in the mouse renal cortex by laser microdissecting the microvessels prior to small RNA- and RNA-sequencing analyses. By these means, we characterized microRNA and mRNA transcription profiles of arterioles, glomeruli, peritubular capillaries, and postcapillary venules. Quantitative RT-PCR, in situ hybridization, and immunohistochemistry were used to validate sequencing results. Unique microRNA and mRNA transcription profiles were found in all microvascular compartments, with dedicated marker microRNAs and mRNAs showing enriched transcription in a single microvascular compartment. In situ hybridization validated the localization of microRNAs mmu-miR-140-3p in arterioles, mmu-miR-322-3p in glomeruli, and mmu-miR-451a in postcapillary venules. Immunohistochemical staining showed that von Willebrand factor protein was mainly expressed in arterioles and postcapillary venules, whereas GABRB1 expression was enriched in glomeruli, and IGF1 was enriched in postcapillary venules. More than 550 compartment-specific microRNA-mRNA interaction pairs were identified that carry functional implications for microvascular behavior. In conclusion, our study identified unique microRNA and mRNA transcription patterns in microvascular compartments of the mouse kidney cortex that underlie microvascular heterogeneity. These patterns provide important molecular information for future studies into differential microvascular engagement in health and disease.NEW & NOTEWORTHY Renal endothelial cells display a high level of heterogeneity depending on the (micro)vascular bed they reside in. The molecular basis contributing to these differences is poorly understood yet of high importance to increase understanding of microvascular engagement in the kidney in health and disease. This report describes m(icro)RNA expression profiles of microvascular beds in the mouse renal cortex and uncovers microvascular compartment-specific m(icro)RNAs and miRNA-mRNA pairs, thereby revealing important molecular mechanisms underlying renal microvascular heterogeneity.
| S-EPMC10511173 | biostudies-literature
Project description:Endothelial cells in the blood vessels in the kidney exert different functions depending on the (micro)vascular bed they are located in. These functional differences are likely a result of differential microRNA and mRNA transcription patterns, yet the identity of these molecules is not well known. We zoomed in on the endothelial cells of microvascular compartments in mouse renal cortex by laser microdissecting the microvessels prior to (small) RNA sequencing analyses. By these means, we characterised microRNA and mRNA transcription profiles of arterioles, glomeruli, peritubular capillaries, and post-capillary venules. RT-qPCR, in situ hybridisation, and immunohistochemistry were used to validate sequencing results. Unique microRNA and mRNA transcription profiles were found in all microvascular compartments, with dedicated marker microRNAs and mRNAs showing enriched transcription in a single microvascular compartment. In situ hybridisation validated localisation of microRNAs mmu-miR-140-3p in arterioles, of mmu-miR-322-3p in glomeruli, and of mmu-miR-451a in post-capillary venules. Immunohistochemical staining showed that von Willebrand Factor protein was mainly expressed in arterioles and post-capillary venules, while GABRB1 expression was enriched in glomeruli and IGF1 in post-capillary venules. Our study shows that microvascular endothelial heterogeneity in mouse kidney is a result of a combination of differentially expressed microRNAs and mRNAs. The identified profiles provide important molecular information to take into account for future studies into microvascular engagement in health and disease.
2023-06-30 | GSE220986 | GEO
Project description:Endothelial cells in the blood vessels in the kidney exert different functions depending on the (micro)vascular bed they are located in. These functional differences are likely a result of differential microRNA and mRNA transcription patterns, yet the identity of these molecules is not well known. We zoomed in on the endothelial cells of microvascular compartments in mouse renal cortex by laser microdissecting the microvessels prior to (small) RNA sequencing analyses. By these means, we characterised microRNA and mRNA transcription profiles of arterioles, glomeruli, peritubular capillaries, and post-capillary venules. RT-qPCR, in situ hybridisation, and immunohistochemistry were used to validate sequencing results. Unique microRNA and mRNA transcription profiles were found in all microvascular compartments, with dedicated marker microRNAs and mRNAs showing enriched transcription in a single microvascular compartment. In situ hybridisation validated localisation of microRNAs mmu-miR-140-3p in arterioles, of mmu-miR-322-3p in glomeruli, and of mmu-miR-451a in post-capillary venules. Immunohistochemical staining showed that von Willebrand Factor protein was mainly expressed in arterioles and post-capillary venules, while GABRB1 expression was enriched in glomeruli and IGF1 in post-capillary venules. Our study shows that microvascular endothelial heterogeneity in mouse kidney is a result of a combination of differentially expressed microRNAs and mRNAs. The identified profiles provide important molecular information to take into account for future studies into microvascular engagement in health and disease.
2023-06-30 | GSE220985 | GEO
Project description:Unique miRNome and Transcriptome Profiles Underlie Microvascular Heterogeneity in Mouse Kidney
| PRJNA912206 | ENA
Project description:smallRNA data - Unique miRNome and Transcriptome Profiles Underlie Microvascular Heterogeneity in Mouse Kidney
| PRJNA912214 | ENA
Project description:mRNA data - Unique miRNome and Transcriptome Profiles Underlie Microvascular Heterogeneity in Mouse Kidney
| PRJNA912213 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below.
2023-05-12 | GSE231852 | GEO
Project description:Missense mutations in the DNA binding domain of p53 are characterized as structural or contact mutations based on their effect on the conformation of the protein. These mutations show gain-of-function (GOF) activities, such as promoting increased metastatic incidence compared with p53 loss, often mediated by the interaction of mutant p53 with a set of transcription factors. These interactions are largely context specific. To understand the mechanisms by which p53 DNA binding domain mutations drive osteosarcoma progression, we created mouse models, in which either the p53 structural mutant p53R172H or the contact mutant p53R245W are expressed specifically in osteoblasts, yielding osteosarcoma tumor development. Survival significantly decreased and metastatic incidence increased in mice expressing p53 mutants compared with p53-null mice, suggesting GOF. RNA sequencing of primary osteosarcomas revealed vastly different gene expression profiles between tumors expressing the missense mutants and p53-null tumors. Further, p53R172H and p53R245W each regulated unique transcriptomes and pathways through interactions with a distinct repertoire of transcription factors. Validation assays showed that p53R245W, but not p53R172H, interacts with KLF15 to drive migration and invasion in osteosarcoma cell lines and promotes metastasis in allogeneic transplantation models. In addition, analyses of p53R248W chromatin immunoprecipitation peaks showed enrichment of KLF15 motifs in human osteoblasts. Taken together, these data identify unique mechanisms of action of the structural and contact mutants of p53.SignificanceThe p53 DNA binding domain contact mutant p53R245W, but not the structural mutant p53R172H, interacts with KLF15 to drive metastasis in somatic osteosarcoma, providing a potential vulnerability in tumors expressing p53R245W mutation.
| S-EPMC10524763 | biostudies-literature
Project description:Hypertrophic cardiomyopathy (HCM) stems from mutations in sarcomeric proteins that elicit distinct biophysical sequelae, which in turn may yield radically different intracellular signaling and molecular pathologic profiles. These signaling events remain largely unaddressed by clinical trials that have selected patients based on clinical HCM diagnosis, irrespective of genotype. In this study, we determined how two mouse models of HCM differ, with respect to cellular/mitochondrial function and molecular biosignatures, at an early stage of disease. We show that hearts from young R92W-TnT and R403Q-?MyHC mutation-bearing mice differ in their transcriptome, miRNome, intracellular redox environment, mitochondrial antioxidant defense mechanisms, and susceptibility to mitochondrial permeability transition pore opening. Pathway analysis of mRNA-sequencing data and microRNA profiles indicate that R92W-TnT mutants exhibit a biosignature consistent with activation of profibrotic TGF-? signaling. Our results suggest that the oxidative environment and mitochondrial impairment in young R92W-TnT mice promote activation of TGF-? signaling that foreshadows a pernicious phenotype in young individuals. Of the two mutations, R92W-TnT is more likely to benefit from anti-TGF-? signaling effects conferred by angiotensin receptor blockers and may be responsive to mitochondrial antioxidant strategies in the early stage of disease. Molecular and functional profiling may therefore serve as aids to guide precision therapy for HCM.
| S-EPMC5926940 | biostudies-literature
Project description:The goal of this study was to gain insight into the molecular heterogeneity of capillary endothelial cells derived from different organs by microarray profiling of freshly isolated cells and identify transcription factors that may determine the specific gene expression profile of endothelial cells from different tissues. The study focused on heart endothelial cells and presents a validated signature of 31 genes that are highly enriched in heart endothelial cells. Within this signature 5 transcription factors were identified and the optimal combination of these transcription factors was determined for specification of the heart endothelial fingerprint. From three tissue types (mouse brain, heart and liver), we collected five freshly isolated endothelial cell samples each. For each brain sample we pooled RNA from 6 mice. For each heart sample we pooled RNA from 4 mice. For each liver sample we pooled RNA from 2 mice. The three endothelial subtypes were then compared. For each subtype, specific gene profiles were defined by determining the genes that were highly enriched versus the other two endothelial subtypes.
2015-02-19 | E-GEOD-48209 | biostudies-arrayexpress