↓ Skip to main content

Cell Press

Variable Glutamine-Rich Repeats Modulate Transcription Factor Activity

Overview of attention for article published in Molecular Cell, August 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
2 news outlets
twitter
16 X users
facebook
1 Facebook page

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
189 Mendeley
citeulike
1 CiteULike
Title
Variable Glutamine-Rich Repeats Modulate Transcription Factor Activity
Published in
Molecular Cell, August 2015
DOI 10.1016/j.molcel.2015.07.003
Pubmed ID
Authors

Rita Gemayel, Sreenivas Chavali, Ksenia Pougach, Matthieu Legendre, Bo Zhu, Steven Boeynaems, Elisa van der Zande, Kris Gevaert, Frederic Rousseau, Joost Schymkowitz, M. Madan Babu, Kevin J. Verstrepen

Abstract

Excessive expansions of glutamine (Q)-rich repeats in various human proteins are known to result in severe neurodegenerative disorders such as Huntington's disease and several ataxias. However, the physiological role of these repeats and the consequences of more moderate repeat variation remain unknown. Here, we demonstrate that Q-rich domains are highly enriched in eukaryotic transcription factors where they act as functional modulators. Incremental changes in the number of repeats in the yeast transcriptional regulator Ssn6 (Cyc8) result in systematic, repeat-length-dependent variation in expression of target genes that result in direct phenotypic changes. The function of Ssn6 increases with its repeat number until a certain threshold where further expansion leads to aggregation. Quantitative proteomic analysis reveals that the Ssn6 repeats affect its solubility and interactions with Tup1 and other regulators. Thus, Q-rich repeats are dynamic functional domains that modulate a regulator's innate function, with the inherent risk of pathogenic repeat expansions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Norway 1 <1%
Unknown 186 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 34%
Researcher 30 16%
Student > Master 17 9%
Student > Bachelor 16 8%
Student > Doctoral Student 11 6%
Other 24 13%
Unknown 26 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 41%
Biochemistry, Genetics and Molecular Biology 58 31%
Immunology and Microbiology 5 3%
Chemistry 4 2%
Medicine and Dentistry 3 2%
Other 13 7%
Unknown 28 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 05 September 2015.
All research outputs
#1,472,899
of 25,371,288 outputs
Outputs from Molecular Cell
#1,542
of 7,617 outputs
Outputs of similar age
#18,559
of 275,469 outputs
Outputs of similar age from Molecular Cell
#18
of 85 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has done well, scoring higher than 79% 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 275,469 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.