Feixuan Wu, Dylan Nicholas Tabang, Danqing Wang, Jon S Odorico, Lingjun Li
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引用次数: 0
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by a dense fibrotic stroma intertwined with a collagen-rich extracellular matrix (ECM), which significantly contributes to tumor progression. In this study, we developed a high-throughput quantitative method that integrates enhanced hydrophilic interaction liquid chromatography (HILIC) with modified elution conditions and 12-plex N,N-dimethyl leucine (DiLeu) isobaric tags, facilitating efficient multiplexed quantitative analysis of hydroxyproline. This approach was applied to human pancreatic samples and resulted in the identification of 194 hydroxyproline peptides from 157 hydroxyproline sites and 59 proline-hydroxylated proteins, representing the first and the largest hydroxyproline proteomics dataset reported for the pancreas to date. This dataset lays a molecular foundation for understanding the structure-function relationships of hydroxyproline-containing proteins and their roles in pancreatic physiology and pathology. We then apply this strategy to investigating proline hydroxylation alterations in benign pancreatic tumors, PDAC and their normal adjacent tissues (NAT). Our findings suggest significant biological functions related to proline hydroxylation, including altered patterns of key proteins such as collagen alpha-1(I) chain and collagen alpha-1(XII) chain. These proteins emerge as potential targets for further studies on proline hydroxylation in PDAC, potentially elucidating its role in modifying protein structures and influencing cancer progression.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes