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Screening and identification of lung cancer metastasis-related genes by suppression subtractive hybridization
Jiewei Liu1, Xiaorong Zhong1, Juan Li1
1The Key Laboratory of Lung Cancer Molecular Biology in Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan Province, ChinaTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Thoracic Surgery, First Affiliated Hospital, Dalian Medical University, Dalian, ChinaDepartment of Respiratory Medicine, the Second Hospital Affiliated to Dalian Medical University, Dalian, ChinaSoochow University Laboratory of Cancer Molecular Genetics, Medical College of Soochow University, Sino-Singapore Industrial Park, Suzhou, China.
Background And Objective:
Lung cancer metastasis is a complicated process in which multiple stages and multiple genes are involved. There is an urgent need to use new molecular biology techniques to get more systematic information and have a general idea of the molecular events that take place in lung cancer metastasis. The object of this study was to construct the subtracted cDNA libraries of different metastatic potential lung cancer cell lines, NL9980 and L9981, which were established and screened from human lung large cell carcinoma cell line, WCQH-9801.
Method:
The forward and reverse subtracted cDNA libraries were constructed in the large cell lung cancer cell lines NL9980 and L9981 with the same heredity background but different metastatic potential, by suppression subtractive hybridization (SSH). The positive clones were preliminarily screened by blue-white colony and precisely identified by PCR. The forward and reverse subtracted libraries were screened and identified by dot blot so as to obtain the clones corresponding to gene segments with differential expression. DNA sequencing was performed to analyze the sequences of differential expression segments, which were then searched and compared using the Basic Local Alignment Search Tool from The National Center for Biotechnology Information NCBI BLAST tools. Quantitative real-time reverse transcription polymerase chain reaction (RT-PCR) and western blotting were performed to confirm the differential expressed genes both on RNA and protein levels.
Results:
The forward and reverse subtracted cDNA libraries of the different large cell lung cancer cell lines with metastatic potential were successfully constructed. With blue-white colony and dot blot, 307 positive clones in the forward subtracted library and 78 positive clones in the reverse subtracted library were obtained. Fifty-five clones were successfully sequenced in the forward subtracted library while 31 clones were successfully sequenced in the reverse subtracted library. One new expressed sequence tag (EST) segment was identified from the reverse subtracted cDNA library and was successfully submitted to GenBank and embodied by GenBank. For the differentially expressed genes between L9981 and NL9980 screened by SSH, four genes, ANXA2, KRT18, ACTG1 was upregulated in L9981 cells compared to NL9980 cells. Annexin A2 (which was encoded by ANXA2), γ-actin (which was encoded by ACTG1), and aldose reductase (which was encoded by AKR1B1) proteins were upregulated in L9981 cells compared to NL9980 cells by western blotting.
Conclusion:
The forward and reverse subtracted cDNA libraries of different metastatic potential large cell lung cancer cell lines were successfully constructed by SSH. A series of genes have been screened out to have significantly different expression levels between lung cancer cell lines NL9980 and L9981. A new EST segment that may represent a new metastasis-related gene has been identified. Consistent with the result of SSH, both quantitative real-time RT-PCR and western Blotting confirmed the upregulation of ANXA2, ACTG1 and AKR1B1 in lung cancer cell line L9981 compared with NL9980. These three genes may play important roles in lung cancer metastasis.
Insights
Researchers constructed subtracted cDNA libraries to identify genes involved in lung cancer metastasis. They found ANXA2, ACTG1, and AKR1B1 are upregulated in highly metastatic lung cancer cells, suggesting their role in metastasis.
Area of Science:
- Molecular Biology
- Oncology
- Genetics
Background:
- Lung cancer metastasis is a complex, multi-stage process involving numerous genes.
- Understanding the molecular mechanisms of metastasis is crucial for developing effective treatments.
- Novel molecular techniques are needed to systematically investigate lung cancer metastasis.
Purpose of the Study:
- To construct subtracted cDNA libraries from lung cancer cell lines with varying metastatic potentials (NL9980 and L9981).
- To identify differentially expressed genes associated with lung cancer metastasis.
- To validate the expression levels of candidate genes at both RNA and protein levels.
Main Methods:
- Suppression subtractive hybridization (SSH) was used to construct forward and reverse subtracted cDNA libraries.
- Blue-white colony screening, dot blot, and DNA sequencing were employed to identify positive clones and differentially expressed gene segments.
- Quantitative real-time reverse transcription polymerase chain reaction (RT-PCR) and western blotting were used for validation.
Main Results:
- Successfully constructed subtracted cDNA libraries from lung large cell carcinoma cell lines NL9980 and L9981.
- Identified 307 positive clones in the forward and 78 in the reverse subtracted libraries.
- Sequencing revealed differential expression of several genes, including ANXA2, KRT18, and ACTG1, with ANXA2, ACTG1, and AKR1B1 confirmed as upregulated in the more metastatic L9981 cell line.
Conclusions:
- SSH is an effective method for constructing subtracted cDNA libraries to study gene expression differences in cancer metastasis.
- Identified several genes, including ANXA2, ACTG1, and AKR1B1, that are differentially expressed between lung cancer cell lines with different metastatic potentials.
- These identified genes, particularly ANXA2, ACTG1, and AKR1B1, may play significant roles in the process of lung cancer metastasis.
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