Analysis of the idea of ​​circulating RNA in rectal cancer metastasis with a factor of up to 7.8

Yunxu customers published the first circular RNA article on rectal cancer metastasis, with an impact factor of 7.8 points!

Article introduction:
In a large family of non-coding RNAs, circular RNA is another star member following microRNAs and lncRNAs in recent years. Because of its looping at the 3'-5' end, it has high stability and is not easily degraded in organisms. Most of the circular RNA participates in the sponge mechanism by directly or indirectly regulating miRNA and target genes. Several articles have reported that this mechanism plays a crucial role in the occurrence and development of diseases. In addition, circular RNA is usually differentially expressed in diseased tissues and, therefore, is well suited as a molecular marker for cancer. At present, there is no relevant report on the field of rectal cancer metastasis. In this paper, we used circular RNA sequencing to compare the rectal cancer patients (CRC) and rectal cancer metastasis to liver cancer patients (CRC-m) tissue samples, and successfully constructed the first circular RNA expression profile of rectal cancer in China. By expanding the sample size, two differentially up-regulated circular RNAs, circRNA_0001178 and circRNA_0000826, were confirmed, which have clinical value as molecular markers. Finally, a circular RNA-miRNA-mRNA network map was constructed to visually reveal the potential relationships among the three.

Related Information:
Journal: Molecular Cancer
Impact factor: 7.8
Service content: Circular RNA sequencing (provided by Cloud Sequence Bio )
Published: January 2019 Sequencing samples: 1. Rectal cancer patients (CRC) and rectal cancer metastasis to liver cancer patients (CRC-m) cancer tissue, sample size: 3 vs 3
Validation samples: 2. Rectal cancer patients (CRC) and rectal cancer metastasis to liver cancer patients (CRC-m) cancer tissue, sample size: 24 vs 16

Article content:
1. Complete transcriptome sequencing to construct circular RNA expression profiles <br> The high-throughput sequencing technology was used to detect the expression of circular RNA in cancer tissues of CRC and CRC-m patients, and 66,855 circular RNAs were detected. The difference is ≥ 2 times, P value ≤ 0.05), 92 of which are differentially up-regulated, and 21 of the circular RNA are down-regulated. The differentially expressed circular RNAs are mostly exon-looped and may have the ability to encode proteins. At the same time, they are distributed on other chromosomes except that they are not distributed on the Y chromosome.


2. Quantitative PCR analysis RNA annular <br> expression of selected four difference before upregulated circular RNA, to expand the sample 40 cases, Loop RNA quantitative PCR (cloud biological sequence provided), and the sequencing results of the verification result The trend is consistent, indicating that the sequencing results are true and reliable. Among them, two loops: circRNA_0001178 and circRNA_0000826 are highly differentially expressed. The ROC curve confirmed that the expression of these two rings is closely related to the clinical diagnosis, and has the potential for clinical diagnosis of metastatic liver cancer.

3. Construction of a circular RNA-miRNA-mRNA network map <br> Through Cytoscape software, the authors constructed a ceRNA network map for these two rings. First, five miRNAs with the strongest binding force to circRNA_0001178 or circRNA_0000826 were determined, and then the target gene bound to the miRNA was predicted, and finally constructed into a ceRNA network map.

to sum up:
In general, this article first sequenced rectal cancer metastatic liver cancer and rectal cancer samples to construct a circular RNA expression profile. From the sequencing results, four circular RNAs with the most obvious difference were screened. Two low-throughput circular RNAs were obtained by low-throughput validation of clinical samples. Finally, a miRNA and a target gene capable of binding to it are predicted to construct a circular RNA-miRNA-mRNA network map.
Full text link:
Https://molecular-cancer.biomedcentral.com/articles/10.1186/s12943-018-0932-8

Cloud order related product recommendation:

Whole transcriptome sequencing

Circular RNA sequencing

LncRNA sequencing

Circular RNA quantitative PCR

M6A RNA whole transcriptome methylation sequencing

M5C RNA whole transcriptome methylation sequencing

m1A RNA whole transcriptome methylation sequencing

RNA pull down
RIP sequencing

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