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Attention Score in Context
| Title |
Distribution of histone H4 modifications as revealed by a panel of specific monoclonal antibodies
|
|---|---|
| Published in |
Chromosome Research, September 2015
|
| DOI | 10.1007/s10577-015-9486-4 |
| Pubmed ID | |
| Authors |
Yoko Hayashi-Takanaka, Kazumitsu Maehara, Akihito Harada, Takashi Umehara, Shigeyuki Yokoyama, Chikashi Obuse, Yasuyuki Ohkawa, Naohito Nozaki, Hiroshi Kimura |
| Abstract |
Post-translational histone modifications play a critical role in genome functions such as epigenetic gene regulation and genome maintenance. The tail of the histone H4 N-terminus contains several amino acids that can be acetylated and methylated. Some of these modifications are known to undergo drastic changes during the cell cycle. In this study, we generated a panel of mouse monoclonal antibodies against histone H4 modifications, including acetylation at K5, K8, K12, and K16, and different levels of methylation at K20. Their specificity was evaluated by ELISA and immunoblotting using synthetic peptide and recombinant proteins that harbor specific modifications or amino acid substitutions. Immunofluorescence confirmed the characteristic distributions of target modifications. An H4K5 acetylation (H4K5ac)-specific antibody CMA405 reacted with K5ac only when the neighboring K8 was unacetylated. This unique feature allowed us to detect newly assembled H4, which is diacetylated at K5 and K12, and distinguish it from hyperacetylated H4, where K5 and K8 are both acetylated. Chromatin immunoprecipiation combined with deep sequencing (ChIP-seq) revealed that acetylation of both H4K8 and H4K16 were enriched around transcription start sites. These extensively characterized and highly specific antibodies will be useful for future epigenetics and epigenome studies. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 3% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 25% |
| Student > Ph. D. Student | 14 | 23% |
| Student > Doctoral Student | 5 | 8% |
| Student > Postgraduate | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 9 | 15% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 48% |
| Agricultural and Biological Sciences | 14 | 23% |
| Medicine and Dentistry | 3 | 5% |
| Chemistry | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 9 | 15% |
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 08 September 2015.
All research outputs
#17,772,019
of 22,826,360 outputs
Outputs from Chromosome Research
#392
of 508 outputs
Outputs of similar age
#180,277
of 267,371 outputs
Outputs of similar age from Chromosome Research
#12
of 16 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 508 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 21st percentile – i.e., 21% 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 267,371 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.