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Functional analysis of the p57KIP2 gene mutation in Beckwith-Wiedemann syndrome

Overview of attention for article published in Human Genetics, April 1999
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Title
Functional analysis of the p57KIP2 gene mutation in Beckwith-Wiedemann syndrome
Published in
Human Genetics, April 1999
DOI 10.1007/s004390050937
Pubmed ID
Authors

Zahurul A. Bhuiyan, Hitomi Yatsuki, Toshiyuki Sasaguri, Keiichiro Joh, Hidenobu Soejima, Xike Zhu, Izuho Hatada, Hiroko Morisaki, Takayuki Morisaki, Tsunehiro Mukai

Abstract

p57KIP2 is a potent tight-binding inhibitor of several G1 cyclin/cyclin-dependent kinase (Cdk) complexes, and is a negative regulator of cell proliferation. The gene encoding p57KIP2 is located at 11p15.5, a region implicated in both sporadic cancers and Beckwith-Wiedemann syndrome (BWS). Previously we demonstrated that p57KIP2 is imprinted and only the maternal allele is expressed in both mice and humans. We also showed mutations found in p57KIP2 in patients with BWS that were transmitted from the patients' carrier mothers, indicating that the expressed maternal allele was mutant and that the repressed paternal allele was normal. In the study reported here, we performed functional analysis of the two mutated p57KIP2 genes. We showed that the nonsense mutation found in the Cdk inhibitory domain in a BWS patient rendered the protein inactive with consequent complete loss of its role as a cell cycle inhibitor and of its nuclear localization. We also showed that the mutation in the QT domain, although completely retaining its cell cycle regulatory activity, lacked nuclear localization and was thus prevented from performing its role as an active cell cycle inhibitor. Consequently, no active p57KIP2 would have existed, which might have caused the disorders in BWS patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Researcher 2 18%
Lecturer 1 9%
Other 1 9%
Student > Ph. D. Student 1 9%
Other 3 27%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 73%
Biochemistry, Genetics and Molecular Biology 2 18%
Unknown 1 9%
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 13 February 2022.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Human Genetics
#1,014
of 2,957 outputs
Outputs of similar age
#11,943
of 37,036 outputs
Outputs of similar age from Human Genetics
#4
of 14 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 2,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.