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Comprehensive analysis of gene-expression profile in chronic obstructive pulmonary disease

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, June 2015
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Mentioned by

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1 tweeter

Citations

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11 Dimensions

Readers on

mendeley
20 Mendeley
Title
Comprehensive analysis of gene-expression profile in chronic obstructive pulmonary disease
Published in
International Journal of Chronic Obstructive Pulmonary Disease, June 2015
DOI 10.2147/copd.s68570
Pubmed ID
Authors

Yechang Qian, Lei Wei, Dong Xu, Guoyi Huang, Wei Ma, Fangying Liu, Yanhua Shen, Zhongfu Wang, Li, Shanfang Zhang, Yafang Chen

Abstract

To investigate the gene-expression profile of chronic obstructive pulmonary disease (COPD) patients and explore the possible therapeutic targets. The microarray raw dataset GSE29133, including three COPD samples and three normal samples, was obtained from Gene Expression Omnibus. After data preprocessing with the Affy package, Student's t-test was employed to identify the differentially expressed genes (DEGs). The up- and downregulated DEGs were then pooled for gene-ontology and pathway-enrichment analyses using the Database for Annotation, Visualization and Integrated Discovery (DAVID). The upstream regulatory elements of these DEGs were also explored by using Whole-Genome rVISTA. Furthermore, we constructed a protein-protein interaction (PPI) network for DEGs. The surfactant protein D (SP-D) serum level and HLA-A gene frequency in COPD patients and healthy controls were also measured by enzyme-linked immunosorbent assay (ELISA) and real-time polymerase chain reaction, respectively. A total of 39 up- and 15 downregulated DEGs were screened. Most of the upregulated genes were involved in the immune response process, while the downregulated genes were involved in the steroid metabolic process. Moreover, we also found that HLA-A has the highest degree in the PPI network. The SP-D serum level and HLA-A gene frequency in COPD patients were significantly higher than those in healthy controls (13.62±2.09 ng/mL vs 10.28±2.86 ng/mL; 62.5% vs 12.5%; P<0.05). Our results may help further the understanding of the mechanisms of COPD. The identified DEGs, especially HLA-A, may serve as diagnosis markers for COPD.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 3 15%
Student > Postgraduate 3 15%
Researcher 3 15%
Student > Bachelor 1 5%
Other 0 0%
Unknown 5 25%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Biochemistry, Genetics and Molecular Biology 3 15%
Agricultural and Biological Sciences 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Nursing and Health Professions 1 5%
Other 2 10%
Unknown 6 30%

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 20 June 2015.
All research outputs
#2,786,255
of 5,254,215 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#330
of 643 outputs
Outputs of similar age
#102,476
of 184,751 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#33
of 74 outputs
Altmetric has tracked 5,254,215 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 643 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 38th percentile – i.e., 38% 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 184,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.