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      MicroRNAs are Transported in Plasma and Delivered to Recipient Cells by High-Density Lipoproteins

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          Abstract

          Circulating microRNAs (miRNA) are relatively stable in plasma and are a new class of disease biomarkers. Here we present evidence that high-density lipoprotein (HDL) transports endogenous miRNAs and delivers them to recipient cells with functional targeting capabilities. Cellular export of miRNAs to HDL was demonstrated to be regulated by neutral sphingomyelinase. Reconstituted HDL injected into mice retrieved distinct miRNA profiles from normal and atherogenic models. HDL delivery of both exogenous and endogenous miRNAs resulted in the direct targeting of mRNA reporters. Furthermore, HDL-mediated delivery of miRNAs to recipient cells was demonstrated to be scavenger receptor BI-dependent. The human HDL-miRNA profile from normal subjects is significantly different than familial hypercholesterolemia subjects. Notably, HDL-miRNA from atherosclerotic subjects induced differential gene expression, with significant loss of conserved mRNA targets in cultured hepatocytes. Collectively, these observations suggest that HDL participates in a mechanism of intercellular communication involving the transport and delivery of miRNAs.

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          Most cited references38

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          Integration of biological networks and gene expression data using Cytoscape.

          Cytoscape is a free software package for visualizing, modeling and analyzing molecular and genetic interaction networks. This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest. Five major steps are described: (i) obtaining a gene or protein network, (ii) displaying the network using layout algorithms, (iii) integrating with gene expression and other functional attributes, (iv) identifying putative complexes and functional modules and (v) identifying enriched Gene Ontology annotations in the network. These steps provide a broad sample of the types of analyses performed by Cytoscape.
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            Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.

            Recent advances in cDNA and oligonucleotide DNA arrays have made it possible to measure the abundance of mRNA transcripts for many genes simultaneously. The analysis of such experiments is nontrivial because of large data size and many levels of variation introduced at different stages of the experiments. The analysis is further complicated by the large differences that may exist among different probes used to interrogate the same gene. However, an attractive feature of high-density oligonucleotide arrays such as those produced by photolithography and inkjet technology is the standardization of chip manufacturing and hybridization process. As a result, probe-specific biases, although significant, are highly reproducible and predictable, and their adverse effect can be reduced by proper modeling and analysis methods. Here, we propose a statistical model for the probe-level data, and develop model-based estimates for gene expression indexes. We also present model-based methods for identifying and handling cross-hybridizing probes and contaminating array regions. Applications of these results will be presented elsewhere.
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              Membrane-derived microvesicles: important and underappreciated mediators of cell-to-cell communication.

              Normal and malignant cells shed from their surface membranes as well as secrete from the endosomal membrane compartment circular membrane fragments called microvesicles (MV). MV that are released from viable cells are usually smaller in size compared to the apoptotic bodies derived from damaged cells and unlike them do not contain fragmented DNA. Growing experimental evidence indicates that MV are an underappreciated component of the cell environment and play an important pleiotropic role in many biological processes. Generally, MV are enriched in various bioactive molecules and may (i) directly stimulate cells as a kind of 'signaling complex', (ii) transfer membrane receptors, proteins, mRNA and organelles (e.g., mitochondria) between cells and finally (iii) deliver infectious agents into cells (e.g., human immuno deficiency virus, prions). In this review, we discuss the pleiotropic effects of MV that are important for communication between cells, as well as the role of MV in carcinogenesis, coagulation, immune responses and modulation of susceptibility/infectability of cells to retroviruses or prions.
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                Author and article information

                Journal
                100890575
                21417
                Nat Cell Biol
                Nature cell biology
                1465-7392
                1476-4679
                12 January 2011
                20 March 2011
                April 2011
                1 October 2011
                : 13
                : 4
                : 423-433
                Affiliations
                [1 ] National Heart, Lung and Blood Institute, National Institutes of Health, 10 Center Dr. Building 10 8N222, Bethesda, Maryland 20892, USA
                Author notes
                [2 ]Correspondence should be addressed to K.C.V. ( vickerskc@ 123456nhlbi.nih.gov )
                Article
                nihpa263884
                10.1038/ncb2210
                3074610
                21423178
                af90e334-5785-4be4-aaa7-868f26d291a3

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Heart, Lung, and Blood Institute : NHLBI
                Award ID: ZIA HL006091-01 ||HL
                Funded by: National Heart, Lung, and Blood Institute : NHLBI
                Award ID: Z99 HL999999 ||HL
                Categories
                Article

                Cell biology
                Cell biology

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