Research Papers:
iTRAQ-based quantitative proteomic analysis of Yamanaka factors reprogrammed breast cancer cells
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Abstract
Kun Wang1, Zhiyan Shan1,2, Lian Duan1,3, Tiantian Gong1, Feng Liu4, Yue Zhang1, Zhendong Wang1,2, Jingling Shen1,2, Lei Lei1,2
1Department of Histology and Embryology, Harbin Medical University, Harbin, China
2Embryo and Stem Cell Engineering Laboratory, Harbin Medical University, Harbin, China
3College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
4Department of Breast Surgery, Cancer Hospital of Harbin Medical University, Harbin, China
Correspondence to:
Lei Lei, email: [email protected]
Keywords: breast cancer, reprogramming, iTRAQ, proteome, mitochondria
Received: January 02, 2017 Accepted: February 24, 2017 Published: March 11, 2017
ABSTRACT
Cancer cells had been developed to be reprogrammed into embryonic stem like cells by induced pluripotent stem cells (iPSCs) technology, however, the tumor differentiation/dedifferentiation mechanisms had not yet been analyzed on a genome-wide scale. Here, we inserted the four stem cell transcription factor genes OCT4, SOX2, C-MYC and KLF4 into MCF cells (MCFs), represented a female breast cancer cell type, and obtained iPSCs (Mcfips) in about 3 weeks. By using the LC MS/MS iTRAQ technology, we analyzed the proteomic changes between MCFs and Mcfips. Of identified 4,616 proteins totally, 247 and 142 differentially expressed (DE) proteins were found in Mcfips compared with human induce pluripotent stem cells (Hips) and MCFs, respectively. 35 co-up and 10 co-down regulated proteins were recognized in DE proteins. Above DE proteins were categorized with GO functional classification annotation and KEGG metabolic pathway analysis into biological processes. In the protein interaction network, we found 37 and 39 hubs interacted with more than one protein in Mcfips comparing to Hips, in addition, 25 and 9 hubs were identified in Mcfips comparing to MCFs. Importantly, the mitochondria, ribosome and tumor suppressor proteins were found to be core regulators of tumor reprogramming, which might contribute to understand the mechanisms in relation to the occurrences and progression of a tumor. Thus, our study provided a valuable data for exploring the possibility to normalize the malignant phenotype.
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PII: 16125