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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hippo Signaling Influences HNF4A and FOXA2 Enhancer Switching during Hepatocyte Differentiation
|
|---|---|
| Published in |
Cell Reports, September 2014
|
| DOI | 10.1016/j.celrep.2014.08.046 |
| Pubmed ID | |
| Authors |
Olivia Alder, Rebecca Cullum, Sam Lee, Arohumam C. Kan, Wei Wei, Yuyin Yi, Victoria C. Garside, Misha Bilenky, Malachi Griffith, A. Sorana Morrissy, Gordon A. Robertson, Nina Thiessen, Yongjun Zhao, Qian Chen, Duojia Pan, Steven J.M. Jones, Marco A. Marra, Pamela A. Hoodless |
| Abstract |
Cell fate acquisition is heavily influenced by direct interactions between master regulators and tissue-specific enhancers. However, it remains unclear how lineage-specifying transcription factors, which are often expressed in both progenitor and mature cell populations, influence cell differentiation. Using in vivo mouse liver development as a model, we identified thousands of enhancers that are bound by the master regulators HNF4A and FOXA2 in a differentiation-dependent manner, subject to chromatin remodeling, and associated with differentially expressed target genes. Enhancers exclusively occupied in the embryo were found to be responsive to developmentally regulated TEAD2 and coactivator YAP1. Our data suggest that Hippo signaling may affect hepatocyte differentiation by influencing HNF4A and FOXA2 interactions with temporal enhancers. In summary, transcription factor-enhancer interactions are not only tissue specific but also differentiation dependent, which is an important consideration for researchers studying cancer biology or mammalian development and/or using transformed cell lines. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Japan | 2 | 1% |
| Germany | 1 | <1% |
| Finland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Hong Kong | 1 | <1% |
| China | 1 | <1% |
| Unknown | 146 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 27% |
| Researcher | 37 | 24% |
| Student > Bachelor | 9 | 6% |
| Student > Master | 8 | 5% |
| Student > Doctoral Student | 7 | 4% |
| Other | 19 | 12% |
| Unknown | 34 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 53 | 34% |
| Agricultural and Biological Sciences | 40 | 26% |
| Medicine and Dentistry | 13 | 8% |
| Computer Science | 5 | 3% |
| Engineering | 3 | 2% |
| Other | 9 | 6% |
| Unknown | 33 | 21% |
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 30 September 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Cell Reports
#12,128
of 12,956 outputs
Outputs of similar age
#157,699
of 263,063 outputs
Outputs of similar age from Cell Reports
#186
of 204 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,956 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one is in the 4th percentile – i.e., 4% 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 263,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.