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Attention Score in Context
| Title |
DNA methylation reprogramming of functional elements during mammalian embryonic development
|
|---|---|
| Published in |
Cell Discovery, August 2018
|
| DOI | 10.1038/s41421-018-0039-9 |
| Pubmed ID | |
| Authors |
Congru Li, Yong Fan, Guoqiang Li, Xiaocui Xu, Jialei Duan, Rong Li, Xiangjin Kang, Xin Ma, Xuepeng Chen, Yuwen Ke, Jie Yan, Ying Lian, Ping Liu, Yue Zhao, Hongcui Zhao, Yaoyong Chen, Yang Yu, Jiang Liu |
| Abstract |
DNA methylation plays important roles during development. However, the DNA methylation reprogramming of functional elements has not been fully investigated during mammalian embryonic development. Herein, using our modified MethylC-Seq library generation method and published post-bisulphite adapter-tagging (PBAT) method, we generated genome-wide DNA methylomes of human gametes and early embryos at single-base resolution and compared them with mouse methylomes. We showed that the dynamics of DNA methylation in functional elements are conserved between humans and mice during early embryogenesis, except for satellite repeats. We further found that oocyte-specific hypomethylated promoters usually exhibit low CpG densities. Genes with oocyte-specific hypomethylated promoters generally show oocyte-specific hypomethylated genic and intergenic regions, and these hypomethylated regions contribute to the hypomethylation pattern of mammalian oocytes. Furthermore, hypomethylated genic regions with low CG densities correlate with gene silencing in oocytes, whereas hypomethylated genic regions with high CG densities correspond to high gene expression. We further show that methylation reprogramming of enhancers during early embryogenesis is highly associated with the development of almost all human organs. Our data support the hypothesis that DNA methylation plays important roles during mammalian development. |
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 % |
|---|---|---|
| United States | 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 27% |
| Researcher | 9 | 10% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 27 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 35% |
| Agricultural and Biological Sciences | 16 | 17% |
| Medicine and Dentistry | 4 | 4% |
| Chemistry | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 29 | 31% |
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 August 2018.
All research outputs
#18,646,262
of 23,099,576 outputs
Outputs from Cell Discovery
#445
of 543 outputs
Outputs of similar age
#254,363
of 330,798 outputs
Outputs of similar age from Cell Discovery
#18
of 20 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.3. This one is in the 9th percentile – i.e., 9% 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 330,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.