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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Main Author: Wong, Lu Yi.
Other Authors: School of Biological Sciences
Format: Final Year Project (FYP)
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53803
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author Wong, Lu Yi.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Wong, Lu Yi.
author_sort Wong, Lu Yi.
collection NTU
description 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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spelling ntu-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
spellingShingle DRNTU::Science::Biological sciences::Molecular biology
Wong, Lu Yi.
Systems biology analysis of plasmodium host parasite interactions.
title 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_short Systems biology analysis of plasmodium host parasite interactions.
title_sort systems biology analysis of plasmodium host parasite interactions
topic DRNTU::Science::Biological sciences::Molecular biology
url http://hdl.handle.net/10356/53803
work_keys_str_mv AT wongluyi systemsbiologyanalysisofplasmodiumhostparasiteinteractions