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RNA-sequencing of HGC27 cells with and without FN1 3' UTR overexpression

ABSTRACT: RNA-sequencing of HGC27 cells with and without FN1 3' UTR overexpression

PROVIDER: PRJNA810189 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR18134951_1.fastq.gz	Fastqsanger.gz
	SRR18134951_2.fastq.gz	Fastqsanger.gz
	SRR18134952_1.fastq.gz	Fastqsanger.gz
	SRR18134952_2.fastq.gz	Fastqsanger.gz
	SRR18134953_1.fastq.gz	Fastqsanger.gz

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RNA-sequencing of HGC27 cells with and without FN1 3' UTR overexpression

Project description:As a key protein in the tumor microenvironment, FN1 has been proven to promote cancer in a variety of cancer species. However, in our previous study on gastric cancer, it was found that FN1 protein expression in patient tissues was not significantly correlated with prognosis, and clinical data analysis was only correlated with T stage of gastric cancer. Analysis of the relationship between FN1 mRNA expression level and prognosis by TCGA-STAD database revealed that high FN1 mRNA expression was significantly correlated with poor prognosis. Moreover, many miRNA binding sites were found on FN1 3' UTR by database prediction, so we speculated that FN1 played different functions at mRNA and protein levels, and FN1 3' UTR might function as ceRNA. At present, FN1 3' UTR overexpression has been proved to significantly promote the invasion and metastasis of gastric cancer in vivo and in vitro, and its effect is stronger than FN1 protein. Therefore, in this study, transcriptome sequencing of FN1 3' UTR after overexpression was carried out to further explore its cancer-promoting mechanism.

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Project description:As a key protein in the tumor microenvironment, FN1 has been proven to promote cancer in a variety of cancer species. However, in our previous study on gastric cancer, it was found that FN1 protein expression in patient tissues was not significantly correlated with prognosis, and clinical data analysis was only correlated with T stage of gastric cancer. Analysis of the relationship between FN1 mRNA expression level and prognosis by TCGA-STAD database revealed that high FN1 mRNA expression was significantly correlated with poor prognosis. Moreover, many miRNA binding sites were found on FN1 3' UTR by database prediction, so we speculated that FN1 played different functions at mRNA and protein levels, and FN1 3' UTR might function as ceRNA. At present, FN1 3' UTR overexpression has been proved to significantly promote the invasion and metastasis of gastric cancer in vivo and in vitro, and its effect is stronger than FN1 protein. Therefore, in this study, miRNA sequencing, which was used to find those miRNAs bound to FN1 3’UTR, was carried out to further explore its cancer-promoting mechanism.

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