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Discovery of Gene Function by Expression Profiling of the Malaria Parasite Life Cycle
Abstract
The completion of the genome sequence for Plasmodium falciparum , the species responsible for most malaria human deaths, has the potential to reveal hundreds of new drug targets and proteins involved in pathogenesis. However, only ∼35% of the genes code for proteins with an identifiable function. The absence of routine genetic tools for studying Plasmodium parasites suggests that this number is unlikely to change quickly if conventional serial methods are used to characterize encoded proteins. Here, we use a high-density oligonucleotide array to generate expression profiles of human and mosquito stages of the malaria parasite's life cycle. Genes with highly correlated levels and temporal patterns of expression were often involved in similar functions or cellular processes.
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Su, X.-Z., Heatwole, V. M., Wertheimer, S. P., Guinet, F., Herrfeldt, J. A., Peterson, D. S., Ravetch, J. A., & Wellems, T. E. (1995) · Cell · doi:10.1016/0092-8674(95)90055-1 · Cited by 1,219
Cited by
Bousema, T., & Drakeley, C. (2011) · Clinical Microbiology Reviews · doi:10.1128/cmr.00051-10 · Cited by 746
Cell division in apicomplexan parasites
Francia, M. E., & Striepen, B. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3184 · Cited by 301
Metadata
- Authors
- Le Roch, K. G., Zhou, Y., Blair, P. L., Grainger, M., Moch, J. K., Haynes, J. D., De la Vega, P., Holder, A. A., Batalov, S., Carucci, D. J., & Winzeler, E. A.
- Venue
- Science
- Published
- 2003-09-12
- Volume
- 301
- Issue
- 5639
- Pages
- 1503-1508
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2164365774
- Cited by
- 1,279
- References
- 1
- FWCI
- 90.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Le Roch, K. G., Zhou, Y., Blair, P. L., Grainger, M., Moch, J. K., Haynes, J. D., De la Vega, P., Holder, A. A., Batalov, S., Carucci, D. J., & Winzeler, E. A. (2003). Discovery of Gene Function by Expression Profiling of the Malaria Parasite Life Cycle. Science. https://doi.org/10.1126/science.1087025
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.