Proteomics

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Quantitative tissue proteomics analysis of primary lung adenocarcinoma

ABSTRACT: In this study, we generated a quantitative lung tissue proteome dataset from lung adenocarcinoma and adjacent normal lung tissues by using iTRAQ labeling combined with 2D-LC-MS/MS. Based on pathway and network analyses, protein expression profiles released in the public Human Protein Atlas database, literature search and novelty, six candidates were selected for validation via immunohistochemistry staining and western blot. Additionally, the clinical and biological significance of two novel candidates, ERO1L and NARS, was further analyzed. Collectively, our results provide a useful biomarker dataset for lung adenocarcinoma diagnosis/prognosis and provide new insights into ERO1L- and NARS- mediated tumorigenesis.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung, Epithelial Cell Of Lung

DISEASE(S): Lung Adenocarcinoma

SUBMITTER: Chia-Jung Yu  

LAB HEAD: Chia-Jung Yu

PROVIDER: PXD004077 | Pride | 2016-05-12

REPOSITORIES: Pride

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Dataset's files

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20100909-lungtissue-itraq-114interact.pep.xml Pepxml
20100909-lungtissue-itraq-114interact.prot.xml Xml
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Publications

Identification and Characterization of Potential Biomarkers by Quantitative Tissue Proteomics of Primary Lung Adenocarcinoma.

Hsu Chiung-Hung CH   Hsu Chia-Wei CW   Hsueh Chuen C   Wang Chih-Liang CL   Wu Yi-Cheng YC   Wu Chih-Ching CC   Liu Chin-Ching CC   Yu Jau-Song JS   Chang Yu-Sun YS   Yu Chia-Jung CJ  

Molecular & cellular proteomics : MCP 20160509 7

Lung cancer is the leading cause of cancer-related death worldwide. Both diagnostic and prognostic biomarkers are urgently needed to increase patient survival. In this study, we identified/quantified 1763 proteins from paired adenocarcinoma (ADC) tissues with different extents of lymph node (LN) involvement using an iTRAQ-based quantitative proteomic analysis. Based on a bioinformatics analysis and literature search, we selected six candidates (ERO1L, PABPC4, RCC1, RPS25, NARS, and TARS) from a  ...[more]

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