Literature DB >> 20815410

An informatics-assisted label-free quantitation strategy that depicts phosphoproteomic profiles in lung cancer cell invasion.

Yi-Ting Wang1, Chia-Feng Tsai, Tzu-Chan Hong, Chih-Chiang Tsou, Pei-Yi Lin, Szu-Hua Pan, Tse-Ming Hong, Pan-Chyr Yang, Ting-Yi Sung, Wen-Lian Hsu, Yu-Ju Chen.   

Abstract

Aberrant protein phosphorylation plays important roles in cancer-related cell signaling. With the goal of achieving multiplexed, comprehensive, and fully automated relative quantitation of site-specific phosphorylation, we present a simple label-free strategy combining an automated pH/acid-controlled IMAC procedure and informatics-assisted SEMI (sequence, elution time, mass-to-charge, and internal standard) algorithm. The SEMI strategy effectively increased the number of quantifiable peptides more than 4-fold in replicate experiments (from 262 to 1171, p < 0.05, false discovery rate = 0.46%) by using a fragmental regression algorithm for elution time alignment followed by peptide cross-assignment in all LC-MS/MS runs. In addition, the strategy demonstrated good quantitation accuracy (10-12%) for standard phosphoprotein and variation less than 1.9 fold (within 99% confidence range) in proteome scale and reliable linear quantitation correlation (R(2) = 0.99) with 4000-fold dynamic concentrations, which was attributed to our reproducible experimental procedure and informatics-assisted peptide alignment tool to minimize system variations. In an attempt to explore metastasis-associated phosphoproteomic alterations in lung cancer, this approach was used to delineate differential phosphoproteomic profiles of a lung cancer metastasis model. Without sample fractionation, the SEMI algorithm enabled quantification of 1796 unique phosphopeptides (false discovery rate = 0.56%) corresponding to 854 phosphoproteins from a series of non-small cell lung cancer lines with varying degrees of in vivo invasiveness. Nearly 40% of the phosphopeptides showed >2-fold change in highly invasive cells; validation of phosphoprotein subsets by Western blotting not only demonstrated the consistency of data obtained by our SEMI strategy but also revealed that such dramatic changes in the phosphoproteome result mostly from translational or post-translational regulation. Mapping of these differentially expressed phosphoproteins in multiple cellular pathways related to cancer invasion and metastasis suggests that the site and degree of phosphorylation might have distinct patterns or functions in the complex process of cancer progression.

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Year:  2010        PMID: 20815410     DOI: 10.1021/pr100394u

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  28 in total

1.  A novel alignment method and multiple filters for exclusion of unqualified peptides to enhance label-free quantification using peptide intensity in LC-MS/MS.

Authors:  Xianyin Lai; Lianshui Wang; Haixu Tang; Frank A Witzmann
Journal:  J Proteome Res       Date:  2011-09-21       Impact factor: 4.466

2.  Posttranslational modifications of the retinoblastoma tumor suppressor protein as determinants of function.

Authors:  James I Macdonald; Frederick A Dick
Journal:  Genes Cancer       Date:  2012-11

3.  DcR3 suppresses influenza virus-induced macrophage activation and attenuates pulmonary inflammation and lethality.

Authors:  Ming-Ting Huang; Szu-Ting Chen; Hsin-Yi Wu; Yu-Ju Chen; Teh-Ying Chou; Shie-Liang Hsieh
Journal:  J Mol Med (Berl)       Date:  2015-05-05       Impact factor: 4.599

4.  Automated, reproducible, titania-based phosphopeptide enrichment strategy for label-free quantitative phosphoproteomics.

Authors:  Brenna McJury Richardson; Erik J Soderblom; J Will Thompson; M Arthur Moseley
Journal:  J Biomol Tech       Date:  2013-04

5.  Quantitative phosphoproteomic study of pressure-overloaded mouse heart reveals dynamin-related protein 1 as a modulator of cardiac hypertrophy.

Authors:  Yu-Wang Chang; Ya-Ting Chang; Qinchuan Wang; Jim Jung-Ching Lin; Yu-Ju Chen; Chien-Chang Chen
Journal:  Mol Cell Proteomics       Date:  2013-07-23       Impact factor: 5.911

6.  Global analysis of cdc14 dephosphorylation sites reveals essential regulatory role in mitosis and cytokinesis.

Authors:  Li Kao; Yi-Ting Wang; Yu-Chen Chen; Shun-Fu Tseng; Jia-Cin Jhang; Yu-Ju Chen; Shu-Chun Teng
Journal:  Mol Cell Proteomics       Date:  2013-12-07       Impact factor: 5.911

7.  Inducing hair follicle neogenesis with secreted proteins enriched in embryonic skin.

Authors:  Sabrina Mai-Yi Fan; Chia-Feng Tsai; Chien-Mei Yen; Miao-Hsia Lin; Wei-Hung Wang; Chih-Chieh Chan; Chih-Lung Chen; Kyle K L Phua; Szu-Hua Pan; Maksim V Plikus; Sung-Liang Yu; Yu-Ju Chen; Sung-Jan Lin
Journal:  Biomaterials       Date:  2018-03-13       Impact factor: 12.479

8.  Gold Nanorod Photothermal Therapy Alters Cell Junctions and Actin Network in Inhibiting Cancer Cell Collective Migration.

Authors:  Yue Wu; Moustafa R K Ali; Bin Dong; Tiegang Han; Kuangcai Chen; Jin Chen; Yan Tang; Ning Fang; Fangjun Wang; Mostafa A El-Sayed
Journal:  ACS Nano       Date:  2018-08-27       Impact factor: 15.881

Review 9.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

Authors:  Ravi Ramesh Pathak; Vrushank Davé
Journal:  Cell Physiol Biochem       Date:  2014-04-28

10.  A pilot characterization of human lung NSCLC by protein pathway activation mapping.

Authors:  Angela Zupa; Giuseppina Improta; Alessandra Silvestri; Elisa Pin; Jianghong Deng; Michele Aieta; Pellegrino Musto; Donato Nitti; Enzo Mammano; Lance Liotta; Claudio Belluco; Julia Wulfkuhle; Emanuel Petricoin
Journal:  J Thorac Oncol       Date:  2012-12       Impact factor: 15.609

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