Dataset Information

Proteomics of cerebrospinal fluid microvesicles

ABSTRACT: Comprehensive proteomic dataset of cerebrospinal fluid (CSF) microvesicles. The aim of this study is to deeply characterize the protein content of microvesicles (MVs) isolated from human cerebrospinal fluid. MVs were isolated from Two CSF pools and their proteome was studied with high sensitivity mass spectrometry, electron microscopy and western blot.

REANALYSED by: PAe005110

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Davide Chiasserini

PROVIDER: PXD000608 | Pride | 2014-05-07

REPOSITORIES: Pride

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Publications

Proteomic analysis of cerebrospinal fluid extracellular vesicles: a comprehensive dataset.

Chiasserini Davide D van Weering Jan R T JR Piersma Sander R SR Pham Thang V TV Malekzadeh Arjan A Teunissen Charlotte E CE de Wit Heidi H Jiménez Connie R CR

Journal of proteomics 20140424

Extracellular vesicles (EVs) are present in human cerebrospinal fluid (CSF), yet little is known about their protein composition. The aim of this study is to provide a comprehensive analysis of the proteome of CSF EVs by electron microscopy and high resolution tandem mass spectrometry (MS/MS) in conjunction with bioinformatics. We report an extensive catalog of 1315 proteins identified in EVs isolated from two different CSF pools by ultracentrifugation, including 230 novel EV proteins. Out of 13 ...[more]

PMID: 24769233

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Project description:Microvesicles (MV) are small membrane-bound particles comprised of exosomes and various sized extracellular vesicles. These are released by a number of cell types. Microvesicles have a variety of cellular functions from communication to mediating growth and differentiation. Microvesicles contain proteins and nucleic acids. Previously, we showed that plasma microvesicles contain microRNAs (miRNAs). Based on our previous report, the majority of peripheral blood microvesicles are derived from platelets while mononuclear phagocytes, including macrophages, are the second most abundant population. Here, we characterized macrophage-derived microvesicles and whether they influenced the differentiation of naM-CM-/ve monocytes. We also identified the miRNA content of the macrophage-derived microvesicles. We found that RNA molecules contained in the macrophage-derived microvesicles were transported to target cells, including monocytes, endothelial cells, epithelial cells and fibroblasts. Furthermore, we found that miR-223 was transported to target cells and was functionally active. Based on our observations, we hypothesize that microvesicles bind to and activate target cells. Furthermore, we find that microvesicles induce the differentiation of macrophages. Thus, defining key components of this response may identify novel targets to regulate host defense and inflammation. We used GeneChip microarrays to examine changes in gene expression induced by MV in primary monocyte-derived macrophages (MDM) and in THP1 cells, and compare this to cells treated with GM-CSF and PMA, respectively. All experiments were done in triplicates. Primary monocytes were collected from buffy coats (BC). The freshly isolated monocytes from three donors (Mono1-3) were either treated with GM-CSF or subjected to RNA isolation. Following treatment, MVs were isolated from the GM-CSF-treated macrophage cultures. RNA was isolated from the remaining cells for profiling (GM1-3). The isolated MVs were then used to treat new BC monocytes for 24 h (BC-GMCSF-MV24). A fraction of the new BC monocytes was subjected to RNA extraction for profiling (BC1-3). For THP1 cells, they were treated with either DMSO or PMA to produce MVs. The MVs were collected and the remaining cells lyzed for RNA extraction and profiling (DMSO1-3 and PMA1-3). The collected MVs from the DMSO or PMA-treated THP1 cells were incubated with new THP1 for 24 h and designated DMSO-MV24 or PMA-MV24. We had a total of 24 samples.

Dataset Information

Proteomics of cerebrospinal fluid microvesicles

Publications

Proteomic analysis of cerebrospinal fluid extracellular vesicles: a comprehensive dataset.

Similar Datasets

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