| Title |
OCEAN-C: mapping hubs of open chromatin interactions across the genome reveals gene regulatory networks
|
|---|---|
| Published in |
Genome Biology, April 2018
|
| DOI | 10.1186/s13059-018-1430-4 |
| Pubmed ID | |
| Authors |
Tingting Li, Lumeng Jia, Yong Cao, Qing Chen, Cheng Li |
| Abstract |
We develop a method called open chromatin enrichment and network Hi-C (OCEAN-C) for antibody-independent mapping of global open chromatin interactions. By integrating FAIRE-seq and Hi-C, OCEAN-C detects open chromatin interactions enriched by active cis-regulatory elements. We identify more than 10,000 hubs of open chromatin interactions (HOCIs) in human cells, which are mainly active promoters and enhancers bound by many DNA-binding proteins and form interaction networks crucial for gene transcription. In addition to identifying large-scale topological structures, including topologically associated domains and A/B compartments, OCEAN-C can detect HOCI-mediated chromatin interactions that are strongly associated with gene expression, super-enhancers, and broad H3K4me3 domains. |
X Demographics
The data shown below were collected from the profiles of 11 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 States | 1 | 9% |
| Japan | 1 | 9% |
| Hungary | 1 | 9% |
| India | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Researcher | 16 | 20% |
| Student > Master | 7 | 9% |
| Professor | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 21 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 27% |
| Agricultural and Biological Sciences | 18 | 23% |
| Computer Science | 7 | 9% |
| Medicine and Dentistry | 4 | 5% |
| Environmental Science | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 22 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 May 2018.
All research outputs
#7,050,597
of 25,382,440 outputs
Outputs from Genome Biology
#3,232
of 4,468 outputs
Outputs of similar age
#114,585
of 339,945 outputs
Outputs of similar age from Genome Biology
#37
of 45 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.