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Attention Score in Context
| Title |
Systematic quantitative analysis of H2A and H2B variants by targeted proteomics
|
|---|---|
| Published in |
Epigenetics & Chromatin, January 2018
|
| DOI | 10.1186/s13072-017-0172-y |
| Pubmed ID | |
| Authors |
Sara El Kennani, Annie Adrait, Olga Permiakova, Anne-Marie Hesse, Côme Ialy-Radio, Myriam Ferro, Virginie Brun, Julie Cocquet, Jérôme Govin, Delphine Pflieger |
| Abstract |
Histones organize DNA into chromatin through a variety of processes. Among them, a vast diversity of histone variants can be incorporated into chromatin and finely modulate its organization and functionality. Classically, the study of histone variants has largely relied on antibody-based assays. However, antibodies have a limited efficiency to discriminate between highly similar histone variants. In this study, we established a mass spectrometry-based analysis to address this challenge. We developed a targeted proteomics method, using selected reaction monitoring or parallel reaction monitoring, to quantify a maximum number of histone variants in a single multiplexed assay, even when histones are present in a crude extract. This strategy was developed on H2A and H2B variants, using 55 peptides corresponding to 25 different histone sequences, among which a few differ by a single amino acid. The methodology was then applied to mouse testis extracts in which almost all histone variants are expressed. It confirmed the abundance profiles of several testis-specific histones during successive stages of spermatogenesis and the existence of predicted H2A.L.1 isoforms. This methodology was also used to explore the over-expression pattern of H2A.L.1 isoforms in a mouse model of male infertility. Our results demonstrate that targeted proteomics is a powerful method to quantify highly similar histone variants and isoforms. The developed method can be easily transposed to the study of human histone variants, whose abundance can be deregulated in various diseases. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 1 | 25% |
| France | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Ph. D. Student | 7 | 16% |
| Professor > Associate Professor | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Lecturer | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 31% |
| Agricultural and Biological Sciences | 7 | 16% |
| Chemistry | 3 | 7% |
| Computer Science | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 17 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 January 2018.
All research outputs
#14,373,275
of 23,016,919 outputs
Outputs from Epigenetics & Chromatin
#409
of 568 outputs
Outputs of similar age
#241,377
of 443,072 outputs
Outputs of similar age from Epigenetics & Chromatin
#12
of 15 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 568 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 25th percentile – i.e., 25% 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 443,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.