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Function Study of RNF43 in Colon Cancer and CRISPR Detection of its Mutation
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Abstract
Purpose
In the present study, we aimed to study the expression levels and functional role of RNF43 in colon cancer, and provid a new theoretical basis and research direction for assessing the risk of colon cancer.
Methods
We used bioinformatics to analysis the expression and effect of RNF43 in colon cancer. Cell proliferation, migration and invasion were detected by CCK-8, Transwell and wound healing experiments. The CRISPR-cas12a was used to detecte the mutation sites of RNF43. Meanwhile, Sanger sequencing was used to recheck.
Results
RNF43 is up-regulated in colon cancer and participated in the signal pathway in tumors. In vitro cell experiments revealed that RNF43 inhibits the proliferation, migration and invasion of colon cancer cells. Finally, rs786205215 and rs1567880628 were found to have higher mutation frequencies and the results of the two detection methods are completely consistent.
Conclusion
Studies have shown that rs786205215 and rs156788062 of RNF43 may be used as indicators for colon cancer risk prediction, and CRISPR-cas12a system can be identified as one of the detection methods of SNP sites.
Title: Function Study of RNF43 in Colon Cancer and CRISPR Detection of its Mutation
Description:
Abstract
Purpose
In the present study, we aimed to study the expression levels and functional role of RNF43 in colon cancer, and provid a new theoretical basis and research direction for assessing the risk of colon cancer.
Methods
We used bioinformatics to analysis the expression and effect of RNF43 in colon cancer.
Cell proliferation, migration and invasion were detected by CCK-8, Transwell and wound healing experiments.
The CRISPR-cas12a was used to detecte the mutation sites of RNF43.
Meanwhile, Sanger sequencing was used to recheck.
Results
RNF43 is up-regulated in colon cancer and participated in the signal pathway in tumors.
In vitro cell experiments revealed that RNF43 inhibits the proliferation, migration and invasion of colon cancer cells.
Finally, rs786205215 and rs1567880628 were found to have higher mutation frequencies and the results of the two detection methods are completely consistent.
Conclusion
Studies have shown that rs786205215 and rs156788062 of RNF43 may be used as indicators for colon cancer risk prediction, and CRISPR-cas12a system can be identified as one of the detection methods of SNP sites.
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Abstract
Introduction
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