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Systemically Circulating Viral and Tumor-Derived MicroRNAs in KSHV-Associated Malignancies

Overview of attention for article published in PLoS Pathogens, July 2013
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 tweeters

Citations

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74 Dimensions

Readers on

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86 Mendeley
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Title
Systemically Circulating Viral and Tumor-Derived MicroRNAs in KSHV-Associated Malignancies
Published in
PLoS Pathogens, July 2013
DOI 10.1371/journal.ppat.1003484
Pubmed ID
Authors

Pauline E. Chugh, Sang-Hoon Sin, Sezgin Ozgur, David H. Henry, Prema Menezes, Jack Griffith, Joseph J. Eron, Blossom Damania, Dirk P. Dittmer

Abstract

MicroRNAs (miRNAs) are stable, small non-coding RNAs that modulate many downstream target genes. Recently, circulating miRNAs have been detected in various body fluids and within exosomes, prompting their evaluation as candidate biomarkers of diseases, especially cancer. Kaposi's sarcoma (KS) is the most common AIDS-associated cancer and remains prevalent despite Highly Active Anti-Retroviral Therapy (HAART). KS is caused by KS-associated herpesvirus (KSHV), a gamma herpesvirus also associated with Primary Effusion Lymphoma (PEL). We sought to determine the host and viral circulating miRNAs in plasma, pleural fluid or serum from patients with the KSHV-associated malignancies KS and PEL and from two mouse models of KS. Both KSHV-encoded miRNAs and host miRNAs, including members of the miR-17-92 cluster, were detectable within patient exosomes and circulating miRNA profiles from KSHV mouse models. Further characterization revealed a subset of miRNAs that seemed to be preferentially incorporated into exosomes. Gene ontology analysis of signature exosomal miRNA targets revealed several signaling pathways that are known to be important in KSHV pathogenesis. Functional analysis of endothelial cells exposed to patient-derived exosomes demonstrated enhanced cell migration and IL-6 secretion. This suggests that exosomes derived from KSHV-associated malignancies are functional and contain a distinct subset of miRNAs. These could represent candidate biomarkers of disease and may contribute to the paracrine phenotypes that are a characteristic of KS.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
France 1 1%
Spain 1 1%
Japan 1 1%
India 1 1%
Korea, Republic of 1 1%
Unknown 79 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 19%
Student > Ph. D. Student 14 16%
Student > Master 13 15%
Student > Bachelor 10 12%
Professor > Associate Professor 8 9%
Other 25 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 37%
Medicine and Dentistry 21 24%
Biochemistry, Genetics and Molecular Biology 13 15%
Unspecified 6 7%
Immunology and Microbiology 6 7%
Other 8 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2013.
All research outputs
#7,630,566
of 13,247,021 outputs
Outputs from PLoS Pathogens
#4,637
of 6,170 outputs
Outputs of similar age
#72,590
of 158,350 outputs
Outputs of similar age from PLoS Pathogens
#99
of 151 outputs
Altmetric has tracked 13,247,021 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 158,350 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.