Systems biology analysis of plasmodium host parasite interactions.
Plasmodium Falciparum, is the main cause of the disease malaria which kills millions especially in the sub-Saharan region annually. This project (preliminary study) aims to annotate the many plasmodium gene with unknown functions using the guilt by association method. To achieve this aim, we perturb...
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sg-ntu-dr.10356-538032023-02-28T18:01:36Z Systems biology analysis of plasmodium host parasite interactions. Wong, Lu Yi. School of Biological Sciences Zbynek Bozdech DRNTU::Science::Biological sciences::Molecular biology Plasmodium Falciparum, is the main cause of the disease malaria which kills millions especially in the sub-Saharan region annually. This project (preliminary study) aims to annotate the many plasmodium gene with unknown functions using the guilt by association method. To achieve this aim, we perturb the parasite at trophozoite stage only (3D7 strain) with 400 compounds from the Malaria Box collection and perform microarray. The resulting 41 (out of 400) expression profiles profiles are used to generate a co expression network for further analysis. A previous study have shown chemical perturbation to produce relevant and reproducible gene profiles. If successful, this will validate the accuracy and feasibility of using drug perturbation together with microarrays to elucidate gene functions in a fast and comprehensible manner. The resultant network clusters show some biological relevance, especially the “invasion” cluster. Bachelor of Science in Biological Sciences 2013-06-07T06:52:34Z 2013-06-07T06:52:34Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53803 en Nanyang Technological University 43 p. application/pdf |
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DRNTU::Science::Biological sciences::Molecular biology Wong, Lu Yi. Systems biology analysis of plasmodium host parasite interactions. |
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Plasmodium Falciparum, is the main cause of the disease malaria which kills millions especially in the sub-Saharan region annually. This project (preliminary study) aims to annotate the many plasmodium gene with unknown functions using the guilt by association method. To achieve this aim, we perturb the parasite at trophozoite stage only (3D7 strain) with 400 compounds from the Malaria Box collection and perform microarray. The resulting 41 (out of 400) expression profiles profiles are used to generate a co expression network for further analysis. A previous study have shown chemical perturbation to produce relevant and reproducible gene profiles. If successful, this will validate the accuracy and feasibility of using drug perturbation together with microarrays to elucidate gene functions in a fast and comprehensible manner. The resultant network clusters show some biological relevance, especially the “invasion” cluster. |
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School of Biological Sciences |
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School of Biological Sciences Wong, Lu Yi. |
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Final Year Project |
author |
Wong, Lu Yi. |
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Wong, Lu Yi. |
title |
Systems biology analysis of plasmodium host parasite interactions. |
title_short |
Systems biology analysis of plasmodium host parasite interactions. |
title_full |
Systems biology analysis of plasmodium host parasite interactions. |
title_fullStr |
Systems biology analysis of plasmodium host parasite interactions. |
title_full_unstemmed |
Systems biology analysis of plasmodium host parasite interactions. |
title_sort |
systems biology analysis of plasmodium host parasite interactions. |
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2013 |
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http://hdl.handle.net/10356/53803 |
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1759853490997297152 |