↓ Skip to main content

Differences in gene expression profile between vocal cord Leukoplakia and normal larynx mucosa by gene chip

Overview of attention for article published in Journal of Otolaryngology - Head & Neck Surgery, February 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Differences in gene expression profile between vocal cord Leukoplakia and normal larynx mucosa by gene chip
Published in
Journal of Otolaryngology - Head & Neck Surgery, February 2018
DOI 10.1186/s40463-018-0260-4
Pubmed ID
Authors

Jianhua Peng, He Li, Jun Chen, Xianming Wu, Tao Jiang, Xiaoyun Chen

Abstract

Long non-coding RNAs (lncRNAs) play an important role in tumorigenesis. Vocal cord leukoplakia is a precancerous lesion in otolaryngological practice. Till now, the expression patterns and functions of lncRNAs in vocal cord leukoplakia have not been well understood. In this study, we used microarrays to investigate the aberrantly expressed lncRNAs and mRNAs in vocal cord leukoplakia and adjacent non-neoplastic tissues. Gene Ontology and pathway analyses were performed to determine the significant function and pathways of the differentially expressed mRNAs. qRT-PCR was performed to further validate the expression of selected lncRNAs and mRNAs in vocal cord leukoplakia. Our study identified 170 differentially expressed lncRNAs and 99 differentially expressed mRNAs, including 142 up-regulated lncRNAs and 28 down-regulated lncRNAs, and 54 up-regulated mRNAs and 45 down-regulated mRNAs. Among these, XLOC_000605 and DLX6-AS1 were the most aberrantly expressed lncRNAs. Furthermore, we identified an antisense lncRNA (LOC100506801), an enhancer-like lncRNA (AK057351) and three long intergenetic noncoding RNAs including XLOC_008001, XLOC_011989 and XLOC_007341. Our results revealed that many lncRNAs were differentially expressed between vocal cord leukoplakia tissues and normal tissue, suggesting that they may play a key role in vocal cord leukoplakia tumorigenesis.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 20%
Student > Master 3 20%
Student > Bachelor 2 13%
Unspecified 2 13%
Researcher 2 13%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 8 53%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 2 13%
Unknown 3 20%
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 22 September 2018.
All research outputs
#20,726,252
of 25,461,852 outputs
Outputs from Journal of Otolaryngology - Head & Neck Surgery
#441
of 629 outputs
Outputs of similar age
#348,308
of 454,899 outputs
Outputs of similar age from Journal of Otolaryngology - Head & Neck Surgery
#9
of 11 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 629 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 19th percentile – i.e., 19% 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 454,899 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.