Literature DB >> 23041135

iTRAQ-based quantitative proteomic analysis for identification of oligodendroglioma biomarkers related with loss of heterozygosity on chromosomal arm 1p.

Liu-song Yang1, Xiao-en Xu, Xiu-ping Liu, Hong Jin, Zhong-qing Chen, Xiao-hui Liu, Yin Wang, Feng-ping Huang, Qian Shi.   

Abstract

The oligodendroglioma (OG) type of glial cell tumors accounts for 2-5% of primary brain neoplasms and 4-15% of gliomas diagnosed worldwide. Allelic losses on 1p, or on 1p and 19q, correlate with chemotherapy response and good prognosis in OG patients; however, the underlying mechanisms are not yet clearly defined. Therefore, we utilized a quantitative proteomics strategy that combined 8-plex isobaric tags for relative and absolute quantitation (iTRAQ) labeling and two-dimensional liquid chromatography-tandem mass spectrometry (2D-LC/MS/MS) to identify molecular signatures, reveal mechanisms, and develop predictive markers of OG patients with 1p loss of heterozygosity (LOH). An initial screening of four OG patients with 1p LOH and four without were identified, and 449 differentially expressed proteins were quantified, 13 of which were significantly different between the two groups. Analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway suggested that 1p LOH may affect the actin network in OG. The differential expression of four of the 13 candidates (UBA1, ubiquitin-like modifier activating enzyme 1; ATP6V1E1, ATPase, H+ transporting, lysosomal 31 kDa, V1 subunit E1; MAP2, microtubule-associated protein 2; and HMGB1, high-mobility group protein B1) was validated in 39 additional OG samples using immunohistochemistry. Decision tree modeling indicated that MAP2 expression is a powerful predictor of 1p LOH. Our results not only demonstrate the utility of iTRAQ-based high-throughput quantitative proteomic analysis in glioma research, but also provide novel markers that may help to reveal the mechanisms of 1p LOH-associated chemosensitivity, and to design diagnostic and prognostic assays and therapeutics for OG.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23041135     DOI: 10.1016/j.jprot.2012.09.028

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  6 in total

1.  Identification and verification of PRDX1 as an inflammation marker for colorectal cancer progression.

Authors:  Guanghui Chu; Juntang Li; Yali Zhao; Ningning Liu; Xiaoshan Zhu; Qinqin Liu; Dong Wei; Chunfang Gao
Journal:  Am J Transl Res       Date:  2016-02-15       Impact factor: 4.060

2.  Serum protein gamma-glutamyl hydrolase, Ig gamma-3 chain C region, and haptoglobin are associated with the syndromes of pulmonary tuberculosis in traditional Chinese medicine.

Authors:  Ting-Ting Jiang; Chong Wang; Li-Liang Wei; Xiao-Mei Yu; Li-Ying Shi; Dan-Dan Xu; Zhong-Liang Chen; Ze-Peng Ping; Ji-Cheng Li
Journal:  BMC Complement Altern Med       Date:  2015-07-22       Impact factor: 3.659

3.  Combined Therapy Sensitivity Index Based on a 13-Gene Signature Predicts Prognosis for IDH Wild-type and MGMT Promoter Unmethylated Glioblastoma Patients.

Authors:  Ningrong Ye; Nian Jiang; Chengyuan Feng; Feiyifan Wang; Hanwen Zhang; Harrusin Xiao Bai; Li Yang; Yandong Su; Chunhai Huang; Siyi Wanggou; Xuejun Li
Journal:  J Cancer       Date:  2019-08-29       Impact factor: 4.207

4.  Cellular and molecular characteristics of pollen abortion in chrysanthemum cv. Kingfisher.

Authors:  Fan Wang; Xinghua Zhong; Lulu Huang; Weimin Fang; Fadi Chen; Nianjun Teng
Journal:  Plant Mol Biol       Date:  2018-09-10       Impact factor: 4.076

5.  Transcriptomic and proteomic analysis reveals mechanisms of embryo abortion during chrysanthemum cross breeding.

Authors:  Fengjiao Zhang; Zhiquan Wang; Wen Dong; Chunqing Sun; Haibin Wang; Aiping Song; Lizhong He; Weimin Fang; Fadi Chen; Nianjun Teng
Journal:  Sci Rep       Date:  2014-10-07       Impact factor: 4.379

6.  Chromosome doubling to overcome the chrysanthemum cross barrier based on insight from transcriptomic and proteomic analyses.

Authors:  Fengjiao Zhang; Lichun Hua; Jiangsong Fei; Fan Wang; Yuan Liao; Weimin Fang; Fadi Chen; Nianjun Teng
Journal:  BMC Genomics       Date:  2016-08-09       Impact factor: 3.969

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.