Using bioinformatics methods to explore the connections between expression and subcellular localization of proteins and gastric cancer progression

Zhenying Tang, Ming Xiao, Senyi Deng, Le Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020
EditorsTaesung Park, Young-Rae Cho, Xiaohua Tony Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang, Julio Facelli, Seungyoon Nam, Mingon Kang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1862-1869
ISBN (Electronic)9781728162157
DOIs
Publication statusPublished - 16 Dec 2020
Event2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020 - Virtual, Seoul, Korea, Republic of
Duration: 16 Dec 202019 Dec 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020

Conference

Conference2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020
Country/TerritoryKorea, Republic of
CityVirtual, Seoul
Period16/12/202019/12/2020

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