iTRAQ‑based quantitative proteomic analysis and bioinformatics study of proteins in retinoblastoma

  • Authors:
    • Yong Cheng
    • Qingyu Meng
    • Lvzhen Huang
    • Xuan Shi
    • Jing Hou
    • Xiaoxin Li
    • Jianhong Liang
  • View Affiliations

  • Published online on: October 19, 2017     https://doi.org/10.3892/ol.2017.7221
  • Pages:8084-8091
0

Abstract

The aim of the present study was to analyze proteins in the aqueous humor (AH) of patients' retinoblastoma (RB), and investigate their potential role in RB using the comparative proteomic technique of isobaric tags for relative and absolute quantitation (iTRAQ) coupled with offline two‑dimensional liquid chromatography‑tandem mass spectrometry. A total of 0.1 ml AH was collected from 10 children with RB (mean age, 3.8 years; range, 2‑5 years) and patients with senile cataracts (mean age, 70.4 years; range, 65‑79 years), which was used as the control. iTRAQ was used to analyze proteins in the AH of patients and controls. Proteins with a fold change of >1.20 or <0.83 were considered to be significantly differentially expressed (with corrected P<0.05). The identified proteins were subjected to subsequent gene ontology (GO) analysis using the DAVID database. A total of 83 proteins that were expressed differently between the controls and patients' AH samples were identified using iTRAQ analysis. Of these proteins, 44 were upregulated and 39 were downregulated. On the basis of biological processes in GO, the identified proteins were primarily involved in glycoprotein, amyloid acute‑inflammatory and defensive responses. Among these proteins, pigment epithelium‑derived factor serves a potential role in the treatment of RB, and stimulated by retinoic acid 6 may serve as a potential protein involved in RB development. To the best of our knowledge, the present study is the first to identify 83 proteins associated with RB using iTRAQ technology. The results of the present study will aid in furthering the understanding of RB and developing novel therapy targets in the future.

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December 2017
Volume 14 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

2016 Impact Factor: 1.39
Ranked #68/217 Oncology
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APA
Cheng, Y., Meng, Q., Huang, L., Shi, X., Hou, J., Li, X., & Liang, J. (2017). iTRAQ‑based quantitative proteomic analysis and bioinformatics study of proteins in retinoblastoma. Oncology Letters, 14, 8084-8091. https://doi.org/10.3892/ol.2017.7221
MLA
Cheng, Y., Meng, Q., Huang, L., Shi, X., Hou, J., Li, X., Liang, J."iTRAQ‑based quantitative proteomic analysis and bioinformatics study of proteins in retinoblastoma". Oncology Letters 14.6 (2017): 8084-8091.
Chicago
Cheng, Y., Meng, Q., Huang, L., Shi, X., Hou, J., Li, X., Liang, J."iTRAQ‑based quantitative proteomic analysis and bioinformatics study of proteins in retinoblastoma". Oncology Letters 14, no. 6 (2017): 8084-8091. https://doi.org/10.3892/ol.2017.7221