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Up‐regulation of Cks1 and Skp2 with TNFα/NF‐κB signaling in chronic progressive nephropathy

Overview of attention for article published in Genes to Cells, October 2011
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Title
Up‐regulation of Cks1 and Skp2 with TNFα/NF‐κB signaling in chronic progressive nephropathy
Published in
Genes to Cells, October 2011
DOI 10.1111/j.1365-2443.2011.01553.x
Pubmed ID
Authors

Sayuri Suzuki, Hirotaka Fukasawa, Taro Misaki, Akashi Togawa, Naro Ohashi, Kyoko Kitagawa, Yojiro Kotake, Hiroyuki Niida, Akira Hishida, Tatsuo Yamamoto, Masatoshi Kitagawa

Abstract

The cyclin-dependent kinase (CDK) inhibitor p27 level is associated with progression of renal damage. We previously reported that mRNA of Skp2, a component of Skp/Cullin/F-box (SCF)-ubiquitin ligase which targets to p27, was increased in unilateral ureteral obstructive kidneys in mice and that the nephritis was attenuated in Skp2-deficient mice. However, the details have not been fully clarified. Here, we found that not only Skp2 but also cdc kinase subunit 1 (Cks1), an essential cofactor for the SCF-Skp2 ubiquitin ligase in targeting p27, was increased in another chronic progressive model, anti-thymocyte serum (ATS) rat nephropathy. After induction of ATS nephropathy, Skp2(+) /Cks1(+) /Ki67(+) tubular epithelial cell numbers increased, and p27(+) tubular epithelial cells decreased transiently. Moreover, we found that TNFα was involved in expression of both Skp2 and Cks1 in NRK cell line as well as the in ATS nephropathy. Nuclear accumulations of NF-κB subunits RelB and p52 were increased in the tubular epithelial cells of the nephritic kidney. Both Skp2 and Cks1 were colocalized with RelB in these cells. These data suggest that both Skp2 and Cks1 are up-regulated by the TNFα-RelB/p52 pathway in the early stages of renal damage and are collaboratively involved in down-regulation of p27 in proliferative tubular dilation and the progression of chronic nephropathy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Other 2 22%
Student > Postgraduate 1 11%
Student > Bachelor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 22%
Immunology and Microbiology 2 22%
Chemistry 1 11%
Medicine and Dentistry 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 October 2011.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Genes to Cells
#788
of 1,223 outputs
Outputs of similar age
#105,955
of 152,353 outputs
Outputs of similar age from Genes to Cells
#6
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 29th percentile – i.e., 29% 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 152,353 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.