Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/22361
Title: 
Authors: 
Supervisor: 
Tan, Swee Ngin
Issue Date: 
2019
Abstract: 
Gastric cancer (GC) is a heterogeneous disease that is in need of targeted approaches for both diagnosis and disease intervention. However, early detection is a challenging task as the cancer tends to be asymptomatic in its early stages. Traditionally, GC is broadly categorised into 2 types: intestinal and diffuse, with the latter often associated with poor prognosis. GC has also been shown to be genetically complex, where it can be further divided into four molecular subtypes. While these molecular subtypes have been defined, they might not reflect differences on the ultimate functional level, i.e. protein expression, which is necessary to find novel targets and to better define treatment options. Therefore, there is an urgent need for biomarkers that can distinguish between different types and subtypes so that individuals can receive the most appropriate treatment. In addition, novel putative targets are needed in particular for diffuse-type GC.

This project will be based on the extensive findings from a large-scale proteomics
screening conducted across human GC cell lines in Singapore, i.e. analyses of proteomes of each GC cell line by nanoscale liquid chromatography coupled with tandem mass spectrometry (nLC-MS/MS). Overall, this project aims to address a part of the unmet clinical needs in respect to diagnostic as well as therapeutic options in GC.

The specific objectives of the study are as follows:
1. Validation of the proteomics data by assessing the expression levels via Western blot for proteins that showed highly differential expression levels across the various cell lines in the proteomics data set.
2. Characterisation of one of these differentially expressed proteins to test whether the differential expression is purely correlative or whether cells with abnormal expression levels are dependent on this factor. Investigation of the selected protein will be specifically reduced/suppressed using two complementary approaches, i.e. RNA interference and chemical inhibition.
URI: 
Issued Date: 
2019
Call Number: 
RC280.S8 Cha
File Permission: 
Restricted
File Availability: 
With file
Appears in Collections:Master of Science (Life Sciences)

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