Development of Data-Independent Acquisition-mass spectrometry strategy for immunopeptidomics analysis

English | 正體中文 | 简体中文 | 全文笔数/总笔数 : 45069/58245 (77%)
造访人次 : 2369670 在线人数 : 166

RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Taipei Medical University Institutional Repository > 藥學院 > 臨床藥物基因體學暨蛋白質體學碩士學位學程 > 博碩士論文 > Item 987654321/62401

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://libir.tmu.edu.tw/handle/987654321/62401

题名:	Development of Data-Independent Acquisition-mass spectrometry strategy for immunopeptidomics analysis Development of Data-Independent Acquisition-mass spectrometry strategy for immunopeptidomics analysis
作者:	HOA, VO THANH
贡献者:	臨床基因體學暨蛋白質體學碩士學位學程 Chia-Li Han
关键词:	Data-independent-acquisition;mass spectrometry;proteogenomics;neoantigen;human leukocyte antigen
日期:	2022-07-07
上传时间:	2022-12-29 11:09:21 (UTC+8)
摘要:	Antigen presentation by the human leukocyte antigen proteins plays a critical role in the regulation of the immune system to trigger antitumor response in cancer. By targeting neoantigens, tumor destruction via anticancer T-cell responses will be achieved without causing damage to normal tissues. Data-independent-acquisition mass spectrometry (DIA-MS) emerges as an effective method for detecting low-abundance proteins by collecting fragment ion spectra regardless of precursor ion intensities, which subsequently facilitates the detection of neoantigen. However, the application of DIA-MS in neoantigen detection is challenging because of the limited spectral library, resulting in few identifications. Therefore, the aim of our study is to optimize the DIA-MS platform to leverage HLA-binding peptides and potential neoantigen identification. Two lung cancer cell lines, H1975 cells and CRISPR9-edited H1975 cells with additional EGFR C797S mutation are our study model. Firstly, we expanded the experimental peptide spectral library to a total of 4,746 peptides by including the spectra identified from the reported mono-HLA allelic cell lines and our immunoprecipitation experiments. Secondly, we constructed a virtual spectral library that combines the predicted spectra of putative 23,404 mutant and 542,444 wild-type peptides. Third, we generated a hybrid spectral library by integrating the experimental and virtual libraries to aid the identification of 570 HLA-binding peptides and 102 mutant peptides in both cells. Further functional analysis of the mutant peptides suggested FVLEDPTLL peptide derived from I83V mutation of Adenylate Cyclase 2 as a potential neoantigen in lung cancer. We expect that this DIA-MS platform will be a powerful tool for enhancing neoantigen discovery and fostering personalized treatment upon clinical application.
描述:	碩士指導教授：Chia-Li Han 委員：Chia-Li Han 委員：San-Yuan Wang 委員：I-Lin Tsai
数据类型:	thesis
显示于类别:	[臨床藥物基因體學暨蛋白質體學碩士學位學程] 博碩士論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	169	检视/开启

在TMUIR中所有的数据项都受到原著作权保护.

TAIR相关文章

著作權聲明 Copyright Notice

本平台之數位內容為臺北醫學大學所收錄之機構典藏，包含體系內各式學術著作及學術產出。秉持開放取用的精神，提供使用者進行資料檢索、下載與取用，惟仍請適度、合理地於合法範圍內使用本平台之內容，以尊重著作權人之權益。商業上之利用，請先取得著作權人之授權。
The digital content on this platform is part of the Taipei Medical University Institutional Repository, featuring various academic works and outputs from the institution. It offers free access to academic research and public education for non-commercial use. Please use the content appropriately and within legal boundaries to respect copyright owners' rights. For commercial use, please obtain prior authorization from the copyright owner.
瀏覽或使用本平台，視同使用者已完全接受並瞭解聲明中所有規範、中華民國相關法規、一切國際網路規定及使用慣例，並不得為任何不法目的使用TMUIR。
By utilising the platform, users are deemed to have fully accepted and understood all the regulations set out in the statement, relevant laws of the Republic of China, all international internet regulations, and usage conventions. Furthermore, users must not use TMUIR for any illegal purposes.
本平台盡力防止侵害著作權人之權益。若發現本平台之數位內容有侵害著作權人權益情事者，煩請權利人通知本平台維護人員([email protected])，將立即採取移除該數位著作等補救措施。
TMUIR is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff([email protected]). We will remove the work from the repository.

数据加载中.....