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Specific Mesothelial Signature Marks the Heterogeneity of Mesenchymal Stem Cells From High‐Grade Serous Ovarian Cancer

Overview of attention for article published in Stem Cells, October 2014
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Title
Specific Mesothelial Signature Marks the Heterogeneity of Mesenchymal Stem Cells From High‐Grade Serous Ovarian Cancer
Published in
Stem Cells, October 2014
DOI 10.1002/stem.1791
Pubmed ID
Authors

Roberto Verardo, Silvano Piazza, Enio Klaric, Yari Ciani, Giulio Bussadori, Stefania Marzinotto, Laura Mariuzzi, Daniela Cesselli, Antonio P. Beltrami, Miguel Mano, Masayoshi Itoh, Hideya Kawaji, Timo Lassmann, Piero Carninci, Yoshihide Hayashizaki, Alistair R. R. Forrest, The Fantom Consortium, Carlo A. Beltrami, Claudio Schneider

Abstract

Mesenchymal stem/stromal cells (MSCs) are the precursors of various cell types that compose both normal and cancer tissue microenvironments. In order to support the widely diversified parenchymal cells and tissue organization, MSCs are characterized by a large degree of heterogeneity, although available analyses of molecular and transcriptional data do not provide clear evidence. We have isolated MSCs from high-grade serous ovarian cancers (HG-SOCs) and various normal tissues (N-MSCs), demonstrated their normal genotype and analyzed their transcriptional activity with respect to the large comprehensive FANTOM5 sample dataset. Our integrative analysis conducted against the extensive panel of primary cells and tissues of the FANTOM5 project allowed us to mark the HG-SOC-MSCs CAGE-seq transcriptional heterogeneity and to identify a cell-type-specific transcriptional activity showing a significant relationship with primary mesothelial cells. Our analysis shows that MSCs isolated from different tissues are highly heterogeneous. The mesothelial-related gene signature identified in this study supports the hypothesis that HG-SOC-MSCs are bona fide representatives of the ovarian district. This finding indicates that HG-SOC-MSCs could actually derive from the coelomic mesothelium, suggesting that they might be linked to the epithelial tumor through common embryological precursors.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United Kingdom 1 3%
United States 1 3%
Italy 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 6 18%
Student > Master 6 18%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Other 5 15%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Medicine and Dentistry 9 26%
Biochemistry, Genetics and Molecular Biology 7 21%
Nursing and Health Professions 1 3%
Psychology 1 3%
Other 3 9%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from Stem Cells
#3,578
of 3,897 outputs
Outputs of similar age
#182,689
of 255,831 outputs
Outputs of similar age from Stem Cells
#46
of 60 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,897 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 2nd percentile – i.e., 2% 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 255,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.