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Quantitative Evaluation of Aldo-keto Reductase Expression in Hepatocellular Carcinoma (HCC) Cell Lines

Quantitative Evaluation of Aldo-keto Reductase Expression in Hepatocellular Carcinoma (HCC) Cell Lines
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摘要 The involvement of aldo-keto reductases (AKRs) in tumorigenesis is widely reported, but their roles in the pathological process are not generally recognized due to inconsistent measure- ments of their expression. To overcome this problem, we simultaneously employed real-time PCR to examine gene expression and multiple reaction monitoring (MRM) of mass spectrometry (MS) to examine the protein expression of AKRs in five different hepatic cell lines. These include one rela- tively normal hepatic cell line, L-02, and four hepatocellular carcinoma (HCC) cell lines, HepG2, HUH7, BEL7402 and SMMC7721. The results of real-time PCR showed that expression of genes encoding the AKR1C family members rather than AKR1A and AKR1B was associated with tumor, and most of genes encoding AKRs were highly expressed in HUH7. Similar observations were obtained through MRM. Different from HUH7, the protein abundance of AKR1A and AKR1B was relatively consistent among the other four hepatic cell lines, while protein expression of AKR1C varied significantly compared to L-02. Therefore, we conclude that the abundant distri- bution of AKR 1C proteins is likely to be associated with liver tumorigenesis, and the AKR expres- sion status in HuH7 is completely different from other liver cancer cell lines. This study, for the first time, provided both overall and quantitative information regarding the expression of AKRs at both mRNA and protein levels in hepatic cell lines. Our observations put the previous use of AKRs as a biomarker into question since it is only consistent with our data from HUH7. Furthermore, the data presented herein demonstrated that quantitative evaluation and comparisons within a protein fam- ily at both mRNA and protein levels were feasible using current techniques. The involvement of aldo-keto reductases (AKRs) in tumorigenesis is widely reported, but their roles in the pathological process are not generally recognized due to inconsistent measure- ments of their expression. To overcome this problem, we simultaneously employed real-time PCR to examine gene expression and multiple reaction monitoring (MRM) of mass spectrometry (MS) to examine the protein expression of AKRs in five different hepatic cell lines. These include one rela- tively normal hepatic cell line, L-02, and four hepatocellular carcinoma (HCC) cell lines, HepG2, HUH7, BEL7402 and SMMC7721. The results of real-time PCR showed that expression of genes encoding the AKR1C family members rather than AKR1A and AKR1B was associated with tumor, and most of genes encoding AKRs were highly expressed in HUH7. Similar observations were obtained through MRM. Different from HUH7, the protein abundance of AKR1A and AKR1B was relatively consistent among the other four hepatic cell lines, while protein expression of AKR1C varied significantly compared to L-02. Therefore, we conclude that the abundant distri- bution of AKR 1C proteins is likely to be associated with liver tumorigenesis, and the AKR expres- sion status in HuH7 is completely different from other liver cancer cell lines. This study, for the first time, provided both overall and quantitative information regarding the expression of AKRs at both mRNA and protein levels in hepatic cell lines. Our observations put the previous use of AKRs as a biomarker into question since it is only consistent with our data from HUH7. Furthermore, the data presented herein demonstrated that quantitative evaluation and comparisons within a protein fam- ily at both mRNA and protein levels were feasible using current techniques.
出处 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2013年第4期230-240,共11页 基因组蛋白质组与生物信息学报(英文版)
基金 the National High-tech R&D Program of China(Grant No.2012AA020206)
关键词 Aldo-keto reductase HCC Quantitative analysis Real-time PCR Multiple reaction monitoring Aldo-keto reductase HCC Quantitative analysis Real-time PCR Multiple reaction monitoring
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参考文献51

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