↓ Skip to main content

Copy-number variation of cancer-gene orthologs is sufficient to induce cancer-like symptoms in Saccharomyces cerevisiae

Overview of attention for article published in BMC Biology, March 2013
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
11 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
76 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Copy-number variation of cancer-gene orthologs is sufficient to induce cancer-like symptoms in Saccharomyces cerevisiae
Published in
BMC Biology, March 2013
DOI 10.1186/1741-7007-11-24
Pubmed ID
Authors

Michaela de Clare, Stephen G Oliver

Abstract

Copy-number variation (CNV), rather than complete loss of gene function, is increasingly implicated in human disease. Moreover, gene dosage is recognised as important in tumourigenesis, and there is an increasing realisation that CNVs may not be just symptomatic of the cancerous state but may, in fact, be causative. However, the identification of CNV-related phenotypes for mammalian genes is a slow process, due to the technical difficulty of constructing deletion mutants. Using the genome-wide deletion library for the model eukaryote, Saccharomyces cerevisiae, we have identified genes (termed haploproficient, HP) which, when one copy is deleted from a diploid cell, result in an increased rate of proliferation. Since haploproficiency under nutrient-sufficient conditions is a novel phenotype, we sought here to characterise a subset of the yeast haploproficient genes which seem particularly relevant to human cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Canada 1 1%
Singapore 1 1%
Spain 1 1%
United States 1 1%
Poland 1 1%
Unknown 70 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 32%
Researcher 15 20%
Student > Bachelor 9 12%
Student > Master 8 11%
Student > Doctoral Student 4 5%
Other 14 18%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 57%
Biochemistry, Genetics and Molecular Biology 16 21%
Medicine and Dentistry 5 7%
Computer Science 2 3%
Engineering 2 3%
Other 3 4%
Unknown 5 7%