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Ski-interacting protein, a bifunctional nuclear receptor coregulator that interacts with N-CoR/SMRT and p300

Overview of attention for article published in Biochemical & Biophysical Research Communications, March 2004
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Title
Ski-interacting protein, a bifunctional nuclear receptor coregulator that interacts with N-CoR/SMRT and p300
Published in
Biochemical & Biophysical Research Communications, March 2004
DOI 10.1016/j.bbrc.2004.02.004
Pubmed ID
Authors

Gary M Leong, Nanthakumar Subramaniam, Laura L Issa, Janelle B Barry, Tomoshige Kino, Paul H Driggers, Michael J Hayman, John A Eisman, Edith M Gardiner

Abstract

Ski-interacting protein (SKIP), a vitamin D receptor (VDR) coactivator, also functions as a repressor in Notch signalling in association with the corepressor SMRT. Here we show that SKIP bifunctionally modulates (activates or represses) Retinoid-X receptor (RXR)- and VDR-dependent gene transcription in a cell line-specific manner, with activation in CV-1 and repression in P19 cells. The coactivator function of SKIP in these cells appeared to correlate with the relative level and ratio of expression of N-CoR and p300, with greater SKIP activation in higher p300-expressing and lower N-CoR-expressing cell-lines. C-terminal deletion of SKIP (delta334-536 aa) was associated with strong activation in both CV-1 and P19 cells. The corepressors N-CoR and SMRT and the coregulator p300 interacted with SKIP through the same N-terminal region (1-200 aa). Overall these results suggest that transcriptional action of SKIP may depend on distinct functional domains and cell line-specific interactions with both corepressors and coactivators.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Professor > Associate Professor 6 21%
Student > Ph. D. Student 5 17%
Professor 4 14%
Student > Bachelor 2 7%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 41%
Biochemistry, Genetics and Molecular Biology 9 31%
Medicine and Dentistry 3 10%
Computer Science 1 3%
Mathematics 1 3%
Other 0 0%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 December 2007.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Biochemical & Biophysical Research Communications
#7,621
of 26,637 outputs
Outputs of similar age
#22,400
of 63,047 outputs
Outputs of similar age from Biochemical & Biophysical Research Communications
#65
of 193 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,637 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 28th percentile – i.e., 28% 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 63,047 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.