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Gene expression profiling of cancer stem cell in human lung adenocarcinoma A549 cells

Overview of attention for article published in Molecular Cancer, November 2007
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Title
Gene expression profiling of cancer stem cell in human lung adenocarcinoma A549 cells
Published in
Molecular Cancer, November 2007
DOI 10.1186/1476-4598-6-75
Pubmed ID
Authors

Dong-Cheol Seo, Ji-Min Sung, Hee-Jung Cho, Hee Yi, Kun-Ho Seo, In-Soo Choi, Dong-Ku Kim, Jin-Suk Kim, Abd El-Aty AM, Ho-Chul Shin

Abstract

The studies on cancer-stem-cells (CSCs) have attracted so much attention in recent years as possible therapeutic implications. This study was carried out to investigate the gene expression profile of CSCs in human lung adenocarcinoma A549 cells. We isolated CSCs from A549 cell line of which side population (SP) phenotype revealed several stem cell properties. After staining the cell line with Hoechst 33342 dye, the SP and non-side population (non-SP) cells were sorted using flow cytometric analysis. The mRNA expression profiles were measured using an Affymetrix GeneChip(R) oligonucleotide array. Among the sixty one differentially expressed genes, the twelve genes inclusive three poor prognostic genes; Aldo-keto reductase family 1, member C1/C2 (AKR1C1/C2), Transmembrane 4 L six family member 1 nuclear receptor (TM4SF1), and Nuclear receptor subfamily 0, group B, member 1 (NR0B1) were significantly up-regulated in SP compared to non-SP cells. This is the first report indicating the differences of gene expression pattern between SP and non-SP cells in A549 cells. We suggest that the up-regulations of the genes AKR1C1/C2, TM4SF1 and NR0B1 in SP of human adenocarcinoma A549 cells could be a target of poor prognosis in anti-cancer therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 1%
Australia 1 1%
Taiwan 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Researcher 15 19%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Professor 5 6%
Other 14 17%
Unknown 18 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 32%
Medicine and Dentistry 14 17%
Biochemistry, Genetics and Molecular Biology 10 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Chemistry 3 4%
Other 6 7%
Unknown 18 22%