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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptomic landscape of lncRNAs in inflammatory bowel disease
|
|---|---|
| Published in |
Genome Medicine, May 2015
|
| DOI | 10.1186/s13073-015-0162-2 |
| Pubmed ID | |
| Authors |
Aashiq H Mirza, Claus HB Berthelsen, Stefan E Seemann, Xiaoyong Pan, Klaus S Frederiksen, Mogens Vilien, Jan Gorodkin, Flemming Pociot |
| Abstract |
Inflammatory bowel disease (IBD) is a complex multi-factorial inflammatory disease with Crohn's disease (CD) and ulcerative colitis (UC) being the two most common forms. A number of transcriptional profiling studies have provided compelling evidence that describe the role of protein-coding genes and microRNAs in modulating the immune responses in IBD. In the present study, we performed a genome-wide transcriptome profiling of lncRNAs and protein-coding genes in 96 colon pinch biopsies (inflamed and non-inflamed) extracted from multiple colonic locations from 45 patients (CD = 13, UC = 20, controls = 12) using an expression microarray platform. In our study, we identified widespread dysregulation of lncRNAs and protein-coding genes in both inflamed and non-inflamed CD and UC compared to the healthy controls. In cases of inflamed CD and UC, we identified 438 and 745 differentially expressed lncRNAs, respectively, while in cases of the non-inflamed CD and UC, we identified 12 and 19 differentially expressed lncRNAs, respectively. We also observed significant enrichment (P-value <0.001, Pearson's Chi-squared test) for 96 differentially expressed lncRNAs and 154 protein-coding genes within the IBD susceptibility loci. Furthermore, we found strong positive expression correlations for the intersecting and cis-neighboring differentially expressed IBD loci-associated lncRNA-protein-coding gene pairs. The functional annotation analysis of differentially expressed genes revealed their involvement in the immune response, pro-inflammatory cytokine activity and MHC protein complex. The lncRNA expression profiling in both inflamed and non-inflamed CD and UC successfully stratified IBD patients from the healthy controls. Taken together, the identified lncRNA transcriptional signature along with clinically relevant parameters suggest their potential as biomarkers in IBD. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 122 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 26% |
| Researcher | 28 | 22% |
| Student > Master | 12 | 10% |
| Professor | 6 | 5% |
| Student > Postgraduate | 4 | 3% |
| Other | 17 | 14% |
| Unknown | 25 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 24% |
| Biochemistry, Genetics and Molecular Biology | 30 | 24% |
| Medicine and Dentistry | 22 | 18% |
| Immunology and Microbiology | 5 | 4% |
| Computer Science | 3 | 2% |
| Other | 6 | 5% |
| Unknown | 29 | 23% |
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 May 2015.
All research outputs
#13,434,323
of 22,803,211 outputs
Outputs from Genome Medicine
#1,229
of 1,440 outputs
Outputs of similar age
#126,879
of 264,552 outputs
Outputs of similar age from Genome Medicine
#25
of 30 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 13th percentile – i.e., 13% 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 264,552 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.