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Genome-Wide RNAi Screening Identifies Genes Inhibiting the Migration of Glioblastoma Cells

Overview of attention for article published in PLOS ONE, April 2013
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Title
Genome-Wide RNAi Screening Identifies Genes Inhibiting the Migration of Glioblastoma Cells
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061915
Pubmed ID
Authors

Jian Yang, Jing Fan, Ying Li, Fuhai Li, Peikai Chen, Yubo Fan, Xiaofeng Xia, Stephen T. Wong

Abstract

Glioblastoma Multiforme (GBM) cells are highly invasive, infiltrating into the surrounding normal brain tissue, making it impossible to completely eradicate GBM tumors by surgery or radiation. Increasing evidence also shows that these migratory cells are highly resistant to cytotoxic reagents, but decreasing their migratory capability can re-sensitize them to chemotherapy. These evidences suggest that the migratory cell population may serve as a better therapeutic target for more effective treatment of GBM. In order to understand the regulatory mechanism underlying the motile phenotype, we carried out a genome-wide RNAi screen for genes inhibiting the migration of GBM cells. The screening identified a total of twenty-five primary hits; seven of them were confirmed by secondary screening. Further study showed that three of the genes, FLNA, KHSRP and HCFC1, also functioned in vivo, and knocking them down caused multifocal tumor in a mouse model. Interestingly, two genes, KHSRP and HCFC1, were also found to be correlated with the clinical outcome of GBM patients. These two genes have not been previously associated with cell migration.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 9 23%
Student > Bachelor 5 13%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 30%
Agricultural and Biological Sciences 9 23%
Medicine and Dentistry 7 18%
Engineering 2 5%
Psychology 1 3%
Other 2 5%
Unknown 7 18%
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 15 April 2013.
All research outputs
#15,270,134
of 22,707,247 outputs
Outputs from PLOS ONE
#130,158
of 193,889 outputs
Outputs of similar age
#124,196
of 198,792 outputs
Outputs of similar age from PLOS ONE
#3,229
of 5,163 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,889 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 24th percentile – i.e., 24% 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 198,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,163 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.