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Phosphoproteomics of Primary Cells Reveals Druggable Kinase Signatures in Ovarian Cancer

Overview of attention for article published in Cell Reports, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
17 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
131 Mendeley
citeulike
3 CiteULike
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Title
Phosphoproteomics of Primary Cells Reveals Druggable Kinase Signatures in Ovarian Cancer
Published in
Cell Reports, March 2017
DOI 10.1016/j.celrep.2017.03.015
Pubmed ID
Authors

Chiara Francavilla, Michela Lupia, Kalliopi Tsafou, Alessandra Villa, Katarzyna Kowalczyk, Rosa Rakownikow Jersie-Christensen, Giovanni Bertalot, Stefano Confalonieri, Søren Brunak, Lars J. Jensen, Ugo Cavallaro, Jesper V. Olsen

Abstract

Our understanding of the molecular determinants of cancer is still inadequate because of cancer heterogeneity. Here, using epithelial ovarian cancer (EOC) as a model system, we analyzed a minute amount of patient-derived epithelial cells from either healthy or cancerous tissues by single-shot mass-spectrometry-based phosphoproteomics. Using a multi-disciplinary approach, we demonstrated that primary cells recapitulate tissue complexity and represent a valuable source of differentially expressed proteins and phosphorylation sites that discriminate cancer from healthy cells. Furthermore, we uncovered kinase signatures associated with EOC. In particular, CDK7 targets were characterized in both EOC primary cells and ovarian cancer cell lines. We showed that CDK7 controls cell proliferation and that pharmacological inhibition of CDK7 selectively represses EOC cell proliferation. Our approach defines the molecular landscape of EOC, paving the way for efficient therapeutic approaches for patients. Finally, we highlight the potential of phosphoproteomics to identify clinically relevant and druggable pathways in cancer.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Researcher 25 19%
Student > Bachelor 17 13%
Student > Master 16 12%
Student > Doctoral Student 6 5%
Other 16 12%
Unknown 22 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 33%
Agricultural and Biological Sciences 33 25%
Medicine and Dentistry 8 6%
Chemistry 5 4%
Engineering 3 2%
Other 11 8%
Unknown 28 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 10 April 2017.
All research outputs
#831,843
of 15,448,505 outputs
Outputs from Cell Reports
#1,987
of 7,640 outputs
Outputs of similar age
#24,819
of 266,313 outputs
Outputs of similar age from Cell Reports
#52
of 241 outputs
Altmetric has tracked 15,448,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,640 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 266,313 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.