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High-throughput sequencing of small RNA transcriptomes reveals critical biological features targeted by microRNAs in cell models used for squamous cell cancer research

Overview of attention for article published in BMC Genomics, October 2013
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Title
High-throughput sequencing of small RNA transcriptomes reveals critical biological features targeted by microRNAs in cell models used for squamous cell cancer research
Published in
BMC Genomics, October 2013
DOI 10.1186/1471-2164-14-735
Pubmed ID
Authors

Patricia Severino, Liliane Santana Oliveira, Natalia Torres, Flavia Maziero Andreghetto, Maria de Fatima Guarizo Klingbeil, Raquel Moyses, Victor Wünsch-Filho, Fabio Daumas Nunes, Monica Beatriz Mathor, Alexandre Rossi Paschoal, Alan Mitchell Durham

Abstract

The implication of post-transcriptional regulation by microRNAs in molecular mechanisms underlying cancer disease is well documented. However, their interference at the cellular level is not fully explored. Functional in vitro studies are fundamental for the comprehension of their role; nevertheless results are highly dependable on the adopted cellular model. Next generation small RNA transcriptomic sequencing data of a tumor cell line and keratinocytes derived from primary culture was generated in order to characterize the microRNA content of these systems, thus helping in their understanding. Both constitute cell models for functional studies of microRNAs in head and neck squamous cell carcinoma (HNSCC), a smoking-related cancer. Known microRNAs were quantified and analyzed in the context of gene regulation. New microRNAs were investigated using similarity and structural search, ab initio classification, and prediction of the location of mature microRNAs within would-be precursor sequences. Results were compared with small RNA transcriptomic sequences from HNSCC samples in order to access the applicability of these cell models for cancer phenotype comprehension and for novel molecule discovery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
India 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Ph. D. Student 8 18%
Student > Master 7 16%
Student > Bachelor 4 9%
Other 4 9%
Other 6 14%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 13 30%
Agricultural and Biological Sciences 11 25%
Biochemistry, Genetics and Molecular Biology 5 11%
Engineering 3 7%
Computer Science 3 7%
Other 3 7%
Unknown 6 14%
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 31 October 2013.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Genomics
#8,135
of 11,244 outputs
Outputs of similar age
#161,988
of 224,854 outputs
Outputs of similar age from BMC Genomics
#142
of 226 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 224,854 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 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.