| Title |
Microarray Analysis of lncRNA and mRNA Expression Profiles in Patients with Neuromyelitis Optica
|
|---|---|
| Published in |
Molecular Neurobiology, March 2016
|
| DOI | 10.1007/s12035-016-9754-0 |
| Pubmed ID | |
| Authors |
Jing Xu, Fang Zhang, Chao Gao, Xiaofeng Ma, Xiaolin Peng, Dexin Kong, Junwei Hao |
| Abstract |
For the epigenetic characterization of neuromyelitis optica (NMO), we determined whether messenger RNAs (mRNAs) and long noncoding RNAs (lncRNAs) are expressed differentially in subjects with and without NMO. lncRNA and mRNA expression profiles of NMO patients and healthy controls were generated by using microarray analysis. For comparison, the differentially expressed mRNA functions were annotated by using gene ontology (GO) and pathway analyses. The microarray revealed that 1310 lncRNAs and 743 mRNAs differed in NMO patients from those in healthy controls. Pathway analysis then demonstrated that IL23-mediated signaling events, interferon gamma signaling, natural killer (NK)-κB signaling pathway, chemokine receptors that bind chemokines, GPCR ligand binding, and metabolic disorders of biological oxidation enzyme pathways play important roles in NMO. Several GO terms including cytokine stimulus, response to cytokine, immune response, cytokine-mediated signaling pathway, and response to chemical cytokine activity were enriched in gene lists, suggesting a potential correlation with NMO. Co-expression network analysis indicated that 183 lncRNAs and 458 mRNAs were included in the co-expression network. Our present study showed that these differentially expressed mRNAs and lncRNAs may play important roles in NMO and could provide basic information for new biomarkers or treatment targets to alleviate NMO. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 18% |
| Researcher | 5 | 18% |
| Other | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 7 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 21% |
| Medicine and Dentistry | 5 | 18% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Linguistics | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 8 | 29% |
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 05 March 2016.
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#18,445,779
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Outputs from Molecular Neurobiology
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Outputs of similar age from Molecular Neurobiology
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