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Attention Score in Context
| Title |
Emergence of differentially regulated pathways associated with the development of regional specificity in chicken skin
|
|---|---|
| Published in |
BMC Genomics, January 2015
|
| DOI | 10.1186/s12864-014-1202-9 |
| Pubmed ID | |
| Authors |
Kai-Wei Chang, Nancy A Huang, I-Hsuan Liu, Yi-Hui Wang, Ping Wu, Yen-Tzu Tseng, Michael W Hughes, Ting Xin Jiang, Mong-Hsun Tsai, Chien-Yu Chen, Yen-Jen Oyang, En-Chung Lin, Cheng-Ming Chuong, Shau-Ping Lin |
| Abstract |
BackgroundRegional specificity allows different skin regions to exhibit different characteristics, enabling complementary functions to make effective use of the integumentary surface. Chickens exhibit a high degree of regional specificity in the skin and can serve as a good model for when and how these regional differences begin to emerge.ResultsWe used developing feather and scale regions in embryonic chickens as a model to gauge the differences in their molecular pathways. We employed cosine similarity analysis to identify the differentially regulated and co-regulated genes. We applied low cell techniques for expression validation and chromatin immunoprecipitation (ChIP)-based enhancer identification to overcome limited cell availabilities from embryonic chicken skin.We identified a specific set of genes demonstrating a high correlation as being differentially expressed during feather and scale development and maturation. Some members of the WNT, TGF-beta/BMP, and Notch family known to be involved in feathering skin differentiation were found to be differentially regulated. Interestingly, we also found genes along calcium channel pathways that are differentially regulated. From the analysis of differentially regulated pathways, we used calcium signaling pathways as an example for further verification. Some voltage-gated calcium channel subunits, particularly CACNA1D, are expressed spatio-temporally in the skin epithelium. These calcium signaling pathway members may be involved in developmental decisions, morphogenesis, or epithelial maturation. We further characterized enhancers associated with histone modifications, including H3K4me1, H3K27ac, and H3K27me3, near calcium channel-related genes and identified signature intensive hotspots that may be correlated with certain voltage-gated calcium channel genes.ConclusionWe demonstrated the applicability of cosine similarity analysis for identifying novel regulatory pathways that are differentially regulated during development. Our study concerning the effects of signaling pathways and histone signatures on enhancers suggests that voltage-gated calcium signaling may be involved in early skin development. This work lays the foundation for studying the roles of these gene pathways and their genomic regulation during the establishment of skin regional specificity. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 28% |
| Researcher | 7 | 22% |
| Student > Doctoral Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 56% |
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Computer Science | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 13% |
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 28 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from BMC Genomics
#8,171
of 10,643 outputs
Outputs of similar age
#255,708
of 351,530 outputs
Outputs of similar age from BMC Genomics
#210
of 265 outputs
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So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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