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SelexGLM differentiates androgen and glucocorticoid receptor DNA-binding preference over an extended binding site

Overview of attention for article published in Genome Research, December 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

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8 X users
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3 Facebook pages

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55 Mendeley
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Article details
Title
SelexGLM differentiates androgen and glucocorticoid receptor DNA-binding preference over an extended binding site
Published in
Genome Research, December 2017
DOI 10.1101/gr.222844.117
Pubmed ID
Authors
Abstract

The DNA-binding interfaces of the androgen (AR) and glucocorticoid (GR) receptors are virtually identical, yet these transcription factors share only about a third of their genomic binding sites and regulate similarly distinct sets of target genes. To address this paradox, we determined the intrinsic specificities of the AR and GR DNA binding domains using a refined version of SELEX-seq. We developed an algorithm, SelexGLM, that quantifies binding specificity over a large (31 bp) binding-site by iteratively fitting a feature-based generalized linear model to SELEX probe counts. This analysis revealed that the DNA binding preferences of AR and GR homodimers differ significantly, both within and outside the 15bp core binding site. The relative preference between the two factors can be tuned over a wide range by changing the DNA sequence, with AR more sensitive to sequence changes than GR. The specificity of AR extends to the regions flanking the core 15bp site, where isothermal calorimetry measurements reveal that affinity is augmented by enthalpy-driven readout of poly(A) sequences associated with narrowed minor groove width. We conclude that the increased specificity of AR is correlated with more enthalpy-driven binding than GR. The binding models help explain differences in AR and GR genomic binding, and provide a biophysical rationale for how promiscuous binding by GR allows functional substitution for AR in some castration-resistant prostate cancers.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 16 29%
Student > Ph. D. Student 13 24%
Student > Bachelor 4 7%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 6 11%
Unknown 9 16%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 38%
Agricultural and Biological Sciences 15 27%
Medicine and Dentistry 4 7%
Engineering 2 4%
Mathematics 1 2%
Other 2 4%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 October 2020.
All research outputs
#4,734,973
of 27,854,867 outputs
Outputs from Genome Research
#2,096
of 4,632 outputs
Outputs of similar age
#84,170
of 453,074 outputs
Outputs of similar age from Genome Research
#32
of 43 outputs
Altmetric has tracked 27,854,867 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,632 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has gotten more attention than average, scoring higher than 54% 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 453,074 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 43 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.