Title |
Predicting functional and regulatory divergence of a drug resistance transporter gene in the human malaria parasite
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Published in |
BMC Genomics, February 2015
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DOI | 10.1186/s12864-015-1261-6 |
Pubmed ID | |
Authors |
Geoffrey H Siwo, Asako Tan, Katrina A Button-Simons, Upeka Samarakoon, Lisa A Checkley, Richard S Pinapati, Michael T Ferdig |
Abstract |
The paradigm of resistance evolution to chemotherapeutic agents is that a key coding mutation in a specific gene drives resistance to a particular drug. In the case of resistance to the anti-malarial drug chloroquine (CQ), a specific mutation in the transporter pfcrt is associated with resistance. Here, we apply a series of analytical steps to gene expression data from our lab and leverage 3 independent datasets to identify pfcrt-interacting genes. Resulting networks provide insights into pfcrt's biological functions and regulation, as well as the divergent phenotypic effects of its allelic variants in different genetic backgrounds. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
Unknown | 37 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 16% |
Researcher | 6 | 16% |
Student > Ph. D. Student | 6 | 16% |
Student > Bachelor | 3 | 8% |
Student > Postgraduate | 2 | 5% |
Other | 5 | 13% |
Unknown | 10 | 26% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 9 | 24% |
Biochemistry, Genetics and Molecular Biology | 8 | 21% |
Medicine and Dentistry | 6 | 16% |
Economics, Econometrics and Finance | 1 | 3% |
Computer Science | 1 | 3% |
Other | 2 | 5% |
Unknown | 11 | 29% |