Extracellular vesicles (EVs) contain a wide range of RNA types with a reported prevalence of non-coding RNA. To date a comprehensive characterization of the protein coding transcripts in EVs is still lacking. We performed RNA-Sequencing (RNA-Seq) of two EV populations and identified a small fraction of transcripts that were expressed at significantly different levels in large oncosomes and exosomes, suggesting they may mediate specialized functions. However, these two EV populations exhibited a common mRNA signature that, in comparison to their donor cells, was significantly enriched in mRNAs encoding E2F transcriptional targets and histone proteins. These mRNAs are primarily expressed in the S-phase of the cell cycle, suggesting that they may be packaged into EVs during S-phase. In silico analysis using subcellular compartment transcriptome data from the ENCODE cell line compendium revealed that EV mRNAs originate from a cytoplasmic RNA pool. The EV signature was independently identified in plasma of patients with breast cancer by RNA-Seq. Furthermore, several transcripts differentially expressed in EVs from patients versus controls mirrored differential expression between normal and breast cancer tissues. Altogether, this largest high-throughput profiling of EV mRNA demonstrates that EVs carry tumor-specific alterations and can be interrogated as a source of cancer-derived cargo.

High-throughput sequencing of two populations of extracellular vesicles provides an mRNA signature that can be detected in the circulation of breast cancer patients / Conley, Andrew; Minciacchi, Valentina R; Lee, Dhong Hyun; Knudsen, Beatrice S; Karlan, Beth Y; Citrigno, Luigi; Viglietto, Giuseppe; Tewari, Muneesh; Freeman, Michael R; Demichelis, Francesca; Di Vizio, Dolores. - In: RNA BIOLOGY. - ISSN 1547-6286. - 2006:(2016), pp. 0-00. [10.1080/15476286.2016.1259061]

High-throughput sequencing of two populations of extracellular vesicles provides an mRNA signature that can be detected in the circulation of breast cancer patients

Demichelis, Francesca;
2016-01-01

Abstract

Extracellular vesicles (EVs) contain a wide range of RNA types with a reported prevalence of non-coding RNA. To date a comprehensive characterization of the protein coding transcripts in EVs is still lacking. We performed RNA-Sequencing (RNA-Seq) of two EV populations and identified a small fraction of transcripts that were expressed at significantly different levels in large oncosomes and exosomes, suggesting they may mediate specialized functions. However, these two EV populations exhibited a common mRNA signature that, in comparison to their donor cells, was significantly enriched in mRNAs encoding E2F transcriptional targets and histone proteins. These mRNAs are primarily expressed in the S-phase of the cell cycle, suggesting that they may be packaged into EVs during S-phase. In silico analysis using subcellular compartment transcriptome data from the ENCODE cell line compendium revealed that EV mRNAs originate from a cytoplasmic RNA pool. The EV signature was independently identified in plasma of patients with breast cancer by RNA-Seq. Furthermore, several transcripts differentially expressed in EVs from patients versus controls mirrored differential expression between normal and breast cancer tissues. Altogether, this largest high-throughput profiling of EV mRNA demonstrates that EVs carry tumor-specific alterations and can be interrogated as a source of cancer-derived cargo.
2016
Conley, Andrew; Minciacchi, Valentina R; Lee, Dhong Hyun; Knudsen, Beatrice S; Karlan, Beth Y; Citrigno, Luigi; Viglietto, Giuseppe; Tewari, Muneesh; ...espandi
High-throughput sequencing of two populations of extracellular vesicles provides an mRNA signature that can be detected in the circulation of breast cancer patients / Conley, Andrew; Minciacchi, Valentina R; Lee, Dhong Hyun; Knudsen, Beatrice S; Karlan, Beth Y; Citrigno, Luigi; Viglietto, Giuseppe; Tewari, Muneesh; Freeman, Michael R; Demichelis, Francesca; Di Vizio, Dolores. - In: RNA BIOLOGY. - ISSN 1547-6286. - 2006:(2016), pp. 0-00. [10.1080/15476286.2016.1259061]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/162338
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