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Attention Score in Context
| Title |
Reduced representation bisulphite sequencing of ten bovine somatic tissues reveals DNA methylation patterns and their impacts on gene expression
|
|---|---|
| Published in |
BMC Genomics, October 2016
|
| DOI | 10.1186/s12864-016-3116-1 |
| Pubmed ID | |
| Authors |
Yang Zhou, Lingyang Xu, Derek M. Bickhart, El Hamidi abdel Hay, Steven G. Schroeder, Erin E. Connor, Leeson J. Alexander, Tad S. Sonstegard, Curtis P. Van Tassell, Hong Chen, George E. Liu |
| Abstract |
As a major epigenetic component, DNA methylation plays important functions in individual development and various diseases. DNA methylation has been well studied in human and model organisms, but only limited data exist in economically important animals like cattle. Using reduced representation bisulphite sequencing (RRBS), we obtained single-base-resolution maps of bovine DNA methylation from ten somatic tissues. In total, we evaluated 1,868,049 cytosines in CG-enriched regions. While we found slightly low methylation levels (29.87 to 38.06 %) in cattle, the methylation contexts (CGs and non-CGs) of cattle showed similar methylation patterns to other species. Non-CG methylation was detected but methylation levels in somatic tissues were significantly lower than in pluripotent cells. To study the potential function of the methylation, we detected 10,794 differentially methylated cytosines (DMCs) and 836 differentially methylated CG islands (DMIs). Further analyses in the same tissues revealed many DMCs (including non-CGs) and DMIs, which were highly correlated with the expression of genes involved in tissue development. In summary, our study provides a baseline dataset and essential information for DNA methylation profiles of cattle. |
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 % |
|---|---|---|
| Unknown | 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 24% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Bachelor | 3 | 8% |
| Student > Master | 3 | 8% |
| Professor | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 38% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Veterinary Science and Veterinary Medicine | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 11 | 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 07 October 2016.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from BMC Genomics
#9,294
of 10,670 outputs
Outputs of similar age
#276,847
of 319,894 outputs
Outputs of similar age from BMC Genomics
#220
of 266 outputs
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So far Altmetric has tracked 10,670 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 266 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.