Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Molecular characterization of human osteoblast-derived extracellular vesicle mRNA using next-generation sequencing

ABSTRACT: In this study, we present the comparative transcriptome analysis of human osteoblasts and their corresponding EVs using next-generation sequencing. We demonstrate that osteoblast-EVs are specifically depleted of cellular mRNAs that encode proteins involved in basic cellular activities, such as cytoskeletal functions, cell survival and apoptosis. In contrast, EVs are significantly enriched with 254 mRNAs that are associated with protein translation and RNA processing. Moreover, mRNAs enriched in EVs encode proteins important for communication with the surrounding cells, in particular with osteoclasts, adipocytes and hematopoietic stem cells. Strikingly, EVs are particularly enriched with RAB13 mRNA, which is linked to vesicular trafficking. The latter suggests that EVs may affect vesicle production in target cells. These findings provide the foundation for understanding the molecular mechanism and function of EV-mediated interactions between osteoblasts and the surrounding bone microenvironment.

ORGANISM(S): Homo sapiens

PROVIDER: GSE85761 | GEO | 2017/06/26

SECONDARY ACCESSION(S): PRJNA339283

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Novel Mouse Model for Tissue-specific Extracellular Vesicle Isolation and Characterization

Project description:Extracellular vesicles (EVs) are key mediators of intercellular communication, with important roles in numerous physiological and pathological processes, including profound effects on bone metabolism. These small membrane-bound vesicles are produced and released in the extracellular environment by virtually all cell types, including cells in the osteogenic lineage such as bone marrow-derived mesenchymal stem cells (MSCs), osteoblasts, osteoclasts and osteocytes. EVs serve as potent carriers of bioactive molecules, such as nucleic acids, proteins, lipids and metabolites, where they can influence recipient cells through fusion with target cell membranes to deliver these functional biomolecules. However, once released, the source cell of the EV is difficult to ascertain with any certainty. To overcome this obstacle, we developed a conditional (e.g. Cre-mediated) mouse model that expresses an EV tag, containing a fusion of CD81 and multiple C-terminal tags, termed the “Snorkel-tag”. By crossing with a Cre of interest, representing a specific cell-type or tissue, the specific EV subpopulation that is released can be isolated using antibody affinity columns. We crossed the CAGS-Snorkel mouse with Prx1-Cre and Ocn-Cre, representing cell-types in the early vs late stages of osteoblast differentiation. Isolation of Prx1-EVs and Ocn-EVs was performed from the mouse bone marrow plasma. We performed miRNA-sequencing to determine the specific miRNA cargo in these different EV subpopulations and found miRNAs involved in bone metabolism and function to be expressed, some of which are enriched in the Ocn-EVs. In summary, the CAGS-Snorkel mouse model will be useful in the characterization of EVs from diverse cell- and tissue-types in the mouse.

2024-11-06 | GSE255901 | GEO

Prostate cancer-derived small extracellular vesicles promote osteoclastogenesis and cancer-induced osteolysis via miR-152-3p delivery

Project description:Extracellular vesicles (EVs) play critical roles in regulating bone metastatic microenvironment through mediating intercellular communications. Here, we report a direct regulatory mode between tumor cells and osteoclasts in osteolytic metastasis of prostate cancer via vesicular miRNAs transfer. Combined analysis of miRNAs profiles both in tumor-derived small EVs (sEVs) and osteoclasts identified miR-152-3p as a potential osteolytic molecules. Further in vitro experiments showed that sEVs were enriched in miR-152-3p, which targets osteoclastogenic regulator MAFB. Blocking miR-152-3p in sEVs upregulated the expression of MAFB and impaired osteoclastogenesis in recipient osteoclasts. In vivo xenograft mouse model found that blocking of miR-152-3p in sEVs significantly rescued the loss of trabecular architecture, while systemic inhibition of miR-152-3p using antagomiR-152-3p reduced the osteolytic lesions of cortical bone while remaining the basic trabecular architecture. Together, our findings suggest that miR-152-3p carried by prostate cancer-derived sEVs deliver osteolytic signals from tumor cells to osteoclasts, facilitating osteolytic progression in bone metastasis.

2021-02-24 | GSE161419 | GEO

Novel Mouse Model for Tissue-specific Extracellular Vesicle Isolation and Characterization

Project description:Extracellular vesicles (EVs) are key mediators of intercellular communication, with important roles in numerous physiological and pathological processes, including profound effects on bone metabolism. These small membrane-bound vesicles are produced and released in the extracellular environment by virtually all cell types, including cells in the osteogenic lineage such as bone marrow-derived mesenchymal stem cells (MSCs), osteoblasts, osteoclasts and osteocytes. EVs serve as potent carriers of bioactive molecules, such as nucleic acids, proteins, lipids and metabolites, where they can influence recipient cells through fusion with target cell membranes to deliver these functional biomolecules. However, once released, the source cell of the EV is difficult to ascertain with any certainty. To overcome this obstacle, we developed a conditional (e.g. Cre-mediated) mouse model that expresses an EV tag, containing a fusion of CD81 and multiple C-terminal tags, termed the “Snorkel-tag”. By crossing with a Cre of interest, representing a specific cell-type or tissue, the specific EV subpopulations that are released can be isolated using antibody affinity columns. We crossed the CAGS-Snorkel mouse with Prx1- and Ocn-Cre, representing cell-types in the early vs late stages of osteoblast differentiation, isolated EVs from bone marrow plasma, and treated mouse bone marrow stromal cells (mBMSCs) with Prx1-EVs, Ocn-EVs or All-EVs (isolated using a Pan EV Isolation Kit [Miltenyi Biotec]) for 3 days and performed bulk RNA-sequencing. We found unique transcriptional and pathway signatures elicited by the different EV subpopulations in the mBMSCs, suggesting that EVs from diverse sources have distinct biological activities.

2024-11-06 | GSE256087 | GEO

Comparison of extracellular vesicle and filamentous cell transcriptomes of Ustilago maydis

Project description:The coding transcriptomes of filamentous cultures of the maize smut fungus Ustilago maydis and their extracellular vesicles (EVs) were compared. Protein-coding transcripts relatively enriched in EVs versus filament cells were identified and examined to identify potentially functional mRNA cargos of U. maydis EVs.

2021-06-08 | GSE176292 | GEO

Extracellular Vesicle-Mediated Metastasis Suppressors NME1 and NME2 Modify Lipid Metabolism in Fibroblasts

Project description:Our aim was to understand how vesicular NME1 and NME2 released by breast cancer cells influence the tumour microenvironment. As a model, we used human invasive breast carcinoma cells overexpressing NME1 or NME2, and first analysed in detail the presence of both isoforms in EV subtypes by capillaryWestern immunoassay (WES) and immunoelectron microscopy. Data obtained by both methods showed that NME1 was present in medium-sized EVs or microvesicles, whereas NME2 was abundant in both microvesicles and small-sized EVs or exosomes. Next, human skin-derived fibroblasts were treated with NME1 or NME2 containing EVs, and subsequently mRNA expression changes in fibroblasts were examined. RNAseq results showed that the expression of fatty acid and cholesterol metabolism-related genes was decreased significantly in response to NME1 or NME2 containing EV treatment. We found that FASN (fatty acid synthase) and ACSS2 (acyl-coenzyme A synthetase short-chain family member 2), related to fatty acid synthesis and oxidation, were underexpressed in NME1/2-EV-treated fibroblasts. Our data show an emerging link between NME-containing EVs and regulation of tumour metabolism.

2022-08-21 | GSE211556 | GEO

Effect of monocyte- and osteoclast-derived extracellular vesicles on adipose tissue-derived mesenchymal stem/stromal cells

Project description:Intercellular communication is essential in bone remodelling to ensure that new bone is formed with only temporary bone loss. Monocytes and osteoclasts actively take part in controlling bone remodelling by providing signals that promote osteogenic differentiation of mesenchymal stem/stromal cells (MSCs). Extracellular vesicles (EVs) have attracted attention as regulators of bone remodelling. EVs facilitate intercellular communication by transferring a complex cargo of biologically active molecules to target cells. In the present study, we evaluated the potency of EVs from monocytes and osteoclasts to induce a lineage-specific response in MSCs. We analysed gene expression and protein secretion by both adipose tissue-derived MSCs and bone marrow-derived MSCs after stimulation with EVs from lipopolysaccharide-activated primary human monocytes and (mineral-resorbing) osteoclasts. Isolated EVs were enriched in exosomes (EVs of endosomal origin) and were free of cell debris. Monocyte- and osteoclast-derived EVs were taken up by adipose tissue-derived MSCs. EVs from activated monocytespromoted the secretion of cytokines by MSCs, which may represent an immunomodulatory mechanism. Monocyte-derived EVs also upregulated the expression of genes encoding for matrix metalloproteinases. Therefore, we hypothesize that monocytes facilitate tissue remodelling through EV-mediated signalling. We did not observe a significant effect of osteoclast-derived EVs on gene expression or protein secretion in MSCs. EV-mediated signalling might represent an additional mode of cell-cell signalling during the transition from injury and inflammation to bone regeneration and play an important role in the coupling between bone resorption and bone formation. This article is protected by copyright. All rights reserved.

2018-05-17 | GSE102401 | GEO

Selective enrichment of plasma cell-free messenger RNA in cancer-associated extracellular vesicles

Project description:Cell-free messenger RNA (cf-mRNA) has shown promising diagnostic potentials. Unlike well-characterized extracellular miRNA, how cf-mRNA is protected and its potential biological significance remains unknown. To characterize the carriers of cf-mRNA in human plasma and their association with cancers, we performed transcriptome analysis of cf-mRNA in size-fractionated plasma from patients with lung cancer, liver cancer and multiple myeloma, and healthy donors. We found that the majority of cf-mRNA was enriched in extracellular vesicles (EVs) and was protected in EVs with remarkable stability in RNase-rich environments. We observed specific enrichment patterns of cf-mRNA in each vesicular and non-vesicular subpopulation in cancers. These EV-enriched differentiating genes are associated with specific biological pathways, such as immune systems, liver function, and oxygen transport in lung cancer, liver cancer, and multiple myeloma, respectively. Our results suggest that dissecting the complexity of EVs subpopulations illuminates their biological significance and becomes a promising approach for novel biomarker development.

2023-08-30 | GSE205301 | GEO

Identifying genes enriched for expression in osteocytes: transcriptome sequencing mouse bone with and without bone marrow

Project description:There are three main cell types associated with the skeleton, osteoblasts that bone build, osteoclasts that resorb bone and the osteocytes which among other things control the action of these other effector cell types. In this experiment we compare transcriptome data from bone samples enriched for osteocytes (by removing soft tissue and marrow) and bone samples with the soft tissue removed but the marrow left intact. This identifies genes that are enriched for data when we enrich for osteocytes - highlighting genes enriched for expression in this pivotal skeletal cell type.

2020-03-04 | E-MTAB-5533 | biostudies-arrayexpress

Full-coverage landscape of extracellular RNAs, coding and non-coding, secreted by human glioma stem cells

Project description:Communication between glioblastoma brain tumor (GBM) and its microenvironment alters the parameters of tumor growth and host responses, and may be mediated in part by tumor-secreted RNA. The global repertoire of extracellular RNAs (exRNAs) released by GBM, however, has not been investigated. We have developed a protocol enabling quantitative, minimally biased analysis of vesicular and non-vesicular exRNA complexes, including microvesicles (MVs) and exosomes (collectively called extracelluar vesicles; EVs), as well as ribonucleoproteins (RNPs) and applied it to study exRNA in patient-derived glioma stem-like cultures (GSC). Despite the intertumoral heterogeneity, further exacerbated at the exRNA level, the extracellular complexes exhibit distinct RNA composition, with microvesicles most closely reflecting the cellular transcriptome, and exRNPs exhibiting the most discrete repertoire. Up to 90% of exRNA reads represent fragmented rRNA; the remaining content is enriched in small ncRNA species, such as miRNAs in exosomes, and precisely processed tRNA and Y RNA fragments in both EVs and exRNPs. EV-enclosed mRNAs are mostly fragmented, and UTRs are more abundant than ORF regions; nevertheless, some full-length transcripts are present. Overall, there is less than one copy of non-rRNA per EV. Our results suggest that massive EV/exRNA uptake would be required to ensure functional impact of transferred information to the normal recipient cells of the brain and predict the most impactful miRNAs in such conditions. This study also provides a catalog of diverse vesicular and non-vesicular exRNA species useful for biomarker discovery.

2018-01-04 | GSE93143 | GEO

Integrated transcriptomic and proteomic analysis of the molecular cargo of extracellular vesicles derived from porcine adipose tissue-derived mesenchymal stromal/stem cells

Project description:Background: Mesenchymal stromal/stem cell (MSC) transplantation is a promising therapy for tissue regeneration. Extracellular vesicles (EVs) released by MSCs act as their paracrine effectors by delivering proteins and genetic material to recipient cells. To assess how their cargo mediates biological processes that drive their therapeutic effects, we integrated miRNA, mRNA, and protein expression data of EVs from porcine adipose tissue-derived MSCs. Methods: Simultaneous expression profiles of miRNAs, mRNAs, and proteins were obtained by high-throughput sequencing and LC-MS/MS proteomic analysis in porcine MSCs and their daughter EVs (n=3 each). TargetScan and ComiR were used to predict miRNA target genes. Functional annotation analysis was performed using DAVID 6.7 database to rank primary gene ontology categories for the enriched mRNAs, miRNA target genes, and proteins. STRING was used to predict associations between mRNA and miRNA target genes. Results: Differential expression analysis revealed 4 miRNAs, 255 mRNAs, and 277 proteins enriched in EVs versus MSCs (fold change >2, p<0.05). EV-enriched miRNAs target transcription factors (TFs) and EV-enriched mRNAs encode TFs, but TF proteins are not enriched in EVs. Rather, EVs are enriched for proteins that support extracellular matrix remodeling, blood coagulation, inflammation, and angiogenesis. Conclusions: Porcine MSC-derived EVs contain a genetic cargo of miRNAs and mRNAs that collectively control TF activity in EVs and recipient cells, as well as proteins capable of modulating cellular pathways linked to tissue repair. These properties provide the fundamental basis for considering therapeutic use of EVs in tissue regeneration.

2016-10-31 | GSE87790 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data