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Mendeley readers
Attention Score in Context
| Title |
Local Gene Regulation Details a Recognition Code within the LacI Transcriptional Factor Family
|
|---|---|
| Published in |
PLoS Computational Biology, November 2010
|
| DOI | 10.1371/journal.pcbi.1000989 |
| Pubmed ID | |
| Authors |
Francisco M. Camas, Eric J. Alm, Juan F. Poyatos |
| Abstract |
The specific binding of regulatory proteins to DNA sequences exhibits no clear patterns of association between amino acids (AAs) and nucleotides (NTs). This complexity of protein-DNA interactions raises the question of whether a simple set of wide-coverage recognition rules can ever be identified. Here, we analyzed this issue using the extensive LacI family of transcriptional factors (TFs). We searched for recognition patterns by introducing a new approach to phylogenetic footprinting, based on the pervasive presence of local regulation in prokaryotic transcriptional networks. We identified a set of specificity correlations--determined by two AAs of the TFs and two NTs in the binding sites--that is conserved throughout a dominant subgroup within the family regardless of the evolutionary distance, and that act as a relatively consistent recognition code. The proposed rules are confirmed with data of previous experimental studies and by events of convergent evolution in the phylogenetic tree. The presence of a code emphasizes the stable structural context of the LacI family, while defining a precise blueprint to reprogram TF specificity with many practical applications. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 3% |
| United Kingdom | 1 | 3% |
| Belgium | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 26 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 32% |
| Student > Ph. D. Student | 8 | 26% |
| Professor > Associate Professor | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 55% |
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Environmental Science | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 November 2010.
All research outputs
#6,393,954
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#4,343
of 9,003 outputs
Outputs of similar age
#31,755
of 111,125 outputs
Outputs of similar age from PLoS Computational Biology
#21
of 57 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 111,125 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.