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Characterizing the Retinoblastoma 1 locus: putative elements for Rb1 regulation by in silico analysis

Overview of attention for article published in Frontiers in Genetics, January 2014
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1 X user
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17 Mendeley
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Title
Characterizing the Retinoblastoma 1 locus: putative elements for Rb1 regulation by in silico analysis
Published in
Frontiers in Genetics, January 2014
DOI 10.3389/fgene.2014.00002
Pubmed ID
Authors

Mohammadreza Hajjari, Atefeh Khoshnevisan, Bernardo Lemos

Abstract

Limited understanding of the Rb1 locus hinders genetic and epigenetic analyses of Retinoblastoma, a childhood cancer of the nervous systems. In this study, we used in silico tools to investigate and review putative genetic and epigenetic elements of the Rb1 gene. We report transcription start sites, CpG islands, and regulatory moieties that are likely to influence transcriptional states of this gene. These might contribute genetic and epigenetic information modulating tissue-specific transcripts and expression levels of Rb1. The elements we identified include tandem repeats that reside within or next to CpG islands near Rb1's transcriptional start site, and that are likely to be polymorphic among individuals. Our analyses highlight the complexity of this gene and suggest opportunities and limitations for future studies of retinoblastoma, genetic counseling, and the accurate identification of patients at greater risk of developing the malignancy.

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X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
Sri Lanka 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Ph. D. Student 3 18%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 1 6%
Other 4 24%
Unknown 3 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 29%
Biochemistry, Genetics and Molecular Biology 4 24%
Medicine and Dentistry 3 18%
Earth and Planetary Sciences 1 6%
Computer Science 1 6%
Other 0 0%
Unknown 3 18%
Attention Score in Context

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 28 January 2014.
All research outputs
#14,772,245
of 22,741,406 outputs
Outputs from Frontiers in Genetics
#4,458
of 11,757 outputs
Outputs of similar age
#183,033
of 305,211 outputs
Outputs of similar age from Frontiers in Genetics
#36
of 54 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 305,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.