Conference proceeding
Using bioinformatics methods to explore the connections between expression and subcellular localization of proteins and gastric cancer progression
Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, pp.1862-1869
16 Dec 2020
Abstract
Since the expression and localization of protein plays the important role for GC, this study is to explore the connections between these proteomic information and GC prognosis. After we use bioinformatics method to analyze the dataset from Human Protein Atlas, we found that the proportions of high expression intensity in GC are less than those in normal stomach tissue (NST) samples, whereas the proportion of low expression intensity in GC are greater than those in NST; the proteins located in the nucleus of normal cells are more stable than others; MEN1 is such a tumor suppressor gene that has favorable prognosis.
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Details
- Title
- Using bioinformatics methods to explore the connections between expression and subcellular localization of proteins and gastric cancer progression
- Creators
- Zhenying TangMing XiaoSenyi DengLe ZhangTaesung ParkYoung-Rae ChoXiaohua Tony HuIllhoi YooHyun Goo WooJianxin WangJulio FacelliSeungyoon NamMingon Kang
- Publication Details
- Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, pp.1862-1869
- Conference
- 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020
- Publisher
- Institute of Electrical and Electronics Engineers Inc
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Information Science (Informatics)
- Identifiers
- 991019189158404721