Dataset Information

Human endothelial brain cells, human astrocytes , huma neurons- mass spectrometry quantification of exosomes and corresponding cell

ABSTRACT: This study characterizes the EV-derived proteome secreted by three major cell types of the neurovascular unit: human brain endothelial cells (HBECs), astrocytes, and neurons. Mass spectrometry analyses of EVs and corresponding cells were performed to assess the functional roles of EVs in brain intercellular communication. This study characterizes the EV-derived proteome secreted by three major cell types of the neurovascular unit: human brain endothelial cells (HBECs), astrocytes, and neurons. Mass spectrometry analyses of EVs and corresponding cells were performed to assess the functional roles of EVs in brain intercellular communication.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Gergana Nestorova

LAB HEAD: Dr.Gergana G. Nestorova

PROVIDER: PXD073186 | Pride | 2026-06-08

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	Astrocytes1.htrms	Other
	Astrocytes2.htrms	Other
	Astrocytes3.htrms	Other
	AstrocytesEV1_Slot1-22_1_3029.htrms	Other
	AstrocytesEV2_Slot1-23_1_3031.htrms	Other

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Publications

Cell Type-Specific Proteomic Cargo in Human Brain Endothelial, Astrocyte, and Neuronal Extracellular Vesicles.

Hutson Hope K HK Qin Guoting G Cai Chengzhi C Nestorova Gergana G GG

Proteomes 20260501 2

<b>Background:</b> Extracellular vesicles (EVs) mediate intercellular communication in the central nervous system and are a major source of biomarkers. This study characterizes the EV-derived proteome secreted by human endothelial brain cells (HEBCs), astrocytes, and neurons to identify cell-specific roles in intercellular communication in the brain. <b>Methods:</b> Mass spectrometry analyses of EVs and corresponding parent cells were performed to identify differentially enriched proteins. Gene ...[more]

PMID: 42201112

Similar Datasets

Project description:Background: Acute coronary syndromes (ACS) are associated with aberrant gene expression and epigenetic mechanisms. In particular, de novo DNA methylation is typically linked to gene silencing, but its role in heart disease remains not fully understood. Extracellular vesicles (EVs) are active components in cellular communication for their ability to carry a plethora of signalling biomolecules, thus representing a promising new diagnostic/therapeutic approach in cardiovascular diseases (CVDs). Indeed, there is the need of novel biomarkers for ACS prediction and timely detection. Purpose: We hypothesized that specific epigenetic signals can be carried by EVs. In this regard, we isolated and characterized circulating EVs from ACS patients and evaluated their potential role to influence DNA methylation in target cells. Methods: Circulating EVs were recovered, by ultracentrifugation, from plasma samples of 19 ACS patients and 50 healthy subjects (HS). Nanoparticle tracking analysis (NTA) and western blot (WB) were used to confirm the EVs integrity and purity. Peripheral blood mononuclear cells (PBMCs) of volunteer donors were treated with both ACS and HS derived EVs and genomic DNA was extracted to perform epigenome wide analysis through Reduced Representation Bisulfite Sequencing. ShinyGO, PANTHER, and STRING tools were interrogated to perform GO and PPI network analyses. Flow Cytometry, qRT-PCR, and WB analysis were also performed to evaluate and validate both intra-vesicular and intra-cellular signals. Results: Plasma ACS-derived EVs showed a significant up-regulation of DNA methyltransferases (DNMTs) gene expression levels as compared to HS (P<0.001). Specifically, de novo methylation transcripts, as DNMT3A and DNMT3B were significantly increased in plasma ACS-EVs. DNA methylation analysis of PBMCs from volunteer donors treated with HS- and ACS-derived EVs showed that RNF166 and CCND3 genes resulted the most hyper- and hypo-methylated, respectively, after by ACS-EV treatment. In addition, PPI network analysis specifically evidenced the subnetwork with SRC, as a hub gene, connecting it to NOTCH1, FOXO3, CDC42, IKBKG, RXRA, DGKG, known as important genes already involved in the onset of CVDs. Surprising, other novel genes, BAIAP2, SYP, CHL1, and SHB, which were hypomethylated, were found significantly overexpressed in PBMCs (P<0.005), underlying the fundamental modulating properties of EV cargo in atherosclerosis. Conclusions: These findings support the significant role of ACS plasma-derived EVs, inducing de novo DNA methylation signals, and modulating specific signaling pathways in target cells.