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Draft Quantitative Proteomic Atlas of Human Body and Common Carcinomas
EP37739
Poster Title: Draft Quantitative Proteomic Atlas of Human Body and Common Carcinomas
Submitted on 05 Oct 2021
Author(s): Liang Yue 1,2,3, Meng Luo 4, Wenhao Jiang 1,2,3, Ning Fan 4, Xiaolu Zhan 6, Fangfei Zhang 1,2,3, Rui Sun 1,2,3, Sainan Li 1,2,3, Tian Lu 1,2,3, Fengchao Yu 7, Guoci Teo ⁷, Alexey I Nesvizhskii ⁷,8, Ben Collins ⁹, Ruedi Aebersold 10,11, Fei Xu 4, Tong Liu ⁶, Yan Li ⁵, Tiannan Guo 1,2,3
Affiliations: 1, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. 2, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China 3, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China 4, Department of Anatomy, College of Basic Medical Sciences, Dalian Medical University, No.9 West Section Lvshun South Road, Dalian116044, Liaoning Province, China 5, Department of Anatomy and Physiology, College of Basic Medical Sciences, Shanghai Jiao Tong University, No.280 Chongqing South Road, Shanghai, 200025, China 6, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150081, Heilongjiang Province, China 7, Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA. 8, Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA. 9. Queen's University Belfast, Belfast, Northern Ireland,
Poster Views: 44
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Poster Information
Abstract: Numerous studies have investigated the proteins expressed in multiple normal and tumorous human tissues and carcinomas using qualitative or data-dependent acquisition (DDA)-based quantitative proteomics, and antibodies. However, systematic quantitative proteomic analysis with depth using a consistent method remains to be accomplished.
Here, we aimed to construct a quantitative proteomic database (TPHP) from tissues all over the human body of various types and common tumors, and explore key proteins responsible for tissue specificity and malignancy.
Summary: Here, we aimed to construct a quantitative proteomic database (TPHP) from tissues all over the human body of various types and common tumors, and explore key proteins responsible for tissue specificity and malignancy.References: 1. Uhlen M, Zhang C, et al. A pathology atlas of the
human cancer transcriptome. Science. 2017;357(6352).
2. Gao H, Zhang F, et al. Accelerated Lysis and Proteolytic
Digestion of Biopsy-Level Fresh-Frozen and FFPE
Tissue Samples Using Pressure Cycling Technology. J
Proteome Res. 2020;19(5):1982-90.
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