| Title |
Identification of colorectal cancer-restricted microRNAs and their target genes based on high-throughput sequencing data
|
|---|---|
| Published in |
OncoTargets and therapy, March 2016
|
| DOI | 10.2147/ott.s93338 |
| Pubmed ID | |
| Authors |
Jing Chang, Liya Huang, Qing Cao, Fang Liu |
| Abstract |
To identify potential key microRNAs (miRNAs) and their target genes for colorectal cancer (CRC). High-throughput sequencing data of miRNA expression and gene expression (ID: GSE46622) were downloaded from Gene Expression Omnibus, including matched colon tumor, normal colon epithelium, and liver metastasis tissues from eight CRC patients. Paired t-test and NOISeq separately were utilized to identify differentially expressed miRNAs (DE-miRNAs) and genes. Then, target genes with differential expression and opposite expression trends were identified for DE-miRNAs. Combined with tumor suppressor gene, tumor-associated gene, and TRANSFAC databases, CRC-restricted miRNAs were screened out based on miRNA-target pairs. Compared with normal tissues, there were 56 up- and 37 downregulated miRNAs in metastasis tissues, as well as eight up- and 30 downregulated miRNAs in tumor tissues. miRNA-1 was downregulated in tumor and metastasis tissues, while its target oncogenes TWIST1 and GATA4 were upregulated. Besides, miRNA-let-7f-1-3p was downregulated in tumor tissues, which also targeted TWIST1. In addition, miRNA-133b and miRNA-4458 were downregulated in tumor tissues, while their common target gene DUSP9 was upregulated. Conversely, miRNA-450-b-3p was upregulated in metastasis tissues, while its target tumor suppressor gene CEACAM7 showed downregulation. The identified CRC-restricted miRNAs might be implicated in cancer progression via their target genes, suggesting their potential usage in CRC treatment. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Student > Master | 2 | 13% |
| Other | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 47% |
| Agricultural and Biological Sciences | 3 | 20% |
| Unspecified | 1 | 7% |
| Chemistry | 1 | 7% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2016.
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#20,656,820
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Outputs from OncoTargets and therapy
#1,597
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Outputs of similar age from OncoTargets and therapy
#62
of 108 outputs
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