Dataset Information

Label-free quantitative proteomics of CD133-positive liver cancer stem cells.

ABSTRACT:

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Background

CD133-positive liver cancer stem cells, which are characterized by their resistance to conventional chemotherapy and their tumor initiation ability at limited dilutions, have been recognized as a critical target in liver cancer therapeutics. In the current work, we developed a label-free quantitative method to investigate the proteome of CD133-positive liver cancer stem cells for the purpose of identifying unique biomarkers that can be utilized for targeting liver cancer stem cells. Label-free quantitation was performed in combination with ID-based Elution time Alignment by Linear regression Quantitation (IDEAL-Q) and MaxQuant.

Results

Initially, IDEAL-Q analysis revealed that 151 proteins were differentially expressed in the CD133-positive hepatoma cells when compared with CD133-negative cells. We then analyzed these 151 differentially expressed proteins by MaxQuant software and identified 10 significantly up-regulated proteins. The results were further validated by RT-PCR, western blot, flow cytometry or immunofluorescent staining which revealed that prominin-1, annexin A1, annexin A3, transgelin, creatine kinase B, vimentin, and EpCAM were indeed highly expressed in the CD133-positive hepatoma cells.

Conclusions

These findings confirmed that mass spectrometry-based label-free quantitative proteomics can be used to gain insights into liver cancer stem cells.

SUBMITTER: Tsai ST

PROVIDER: S-EPMC3576254 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature

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Publications

Label-free quantitative proteomics of CD133-positive liver cancer stem cells.

Tsai Sheng-Ta ST Tsou Chih-Chiang CC Mao Wan-Yu WY Chang Wei-Chao WC Han Hsin-Ying HY Hsu Wen-Lian WL Li Chung-Leung CL Shen Chia-Ning CN Chen Chung-Hsuan CH

Proteome science 20121121 1

<h4>Unlabelled</h4><h4>Background</h4>CD133-positive liver cancer stem cells, which are characterized by their resistance to conventional chemotherapy and their tumor initiation ability at limited dilutions, have been recognized as a critical target in liver cancer therapeutics. In the current work, we developed a label-free quantitative method to investigate the proteome of CD133-positive liver cancer stem cells for the purpose of identifying unique biomarkers that can be utilized for targeting ...[more]

PMID: 23170877

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Dataset Information

Label-free quantitative proteomics of CD133-positive liver cancer stem cells.

Unlabelled

Background

Results

Conclusions

Publications

Label-free quantitative proteomics of CD133-positive liver cancer stem cells.

Similar Datasets

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