Characterization of cell-type specific circular RNAs associated with colorectal cancer metastasis
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ABSTRACT:
PROVIDER: PRJNA913584 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR22801652_1.fastq.gz | Fastqsanger.gz | |||
| SRR22801652_2.fastq.gz | Fastqsanger.gz | |||
| SRR22801653_1.fastq.gz | Fastqsanger.gz | |||
| SRR22801653_2.fastq.gz | Fastqsanger.gz | |||
| SRR22801654_1.fastq.gz | Fastqsanger.gz |
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Project description:Circular RNAs expression profiling in human colorectal cancer
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Project description:Colorectal cancer (CRC) is the most common gastrointestinal malignancy in the U.S.A. and approximately 50% of CRC patients develop metastatic disease (mCRC) with an average 5-year survival rate of 13%. Despite our understanding of circular RNAs (circRNAs) in primary cancer, their role throughout mCRC remains poorly characterized. Further, despite the availability of bulk RNA-Seq data for monitoring circRNA expression little is known about their cell-type specific expression profiles to fully understand their functions between tumor cells and the microenvironment. To evaluate circRNAs in mCRC progression, total RNA-Seq was performed on 30 matched normal, primary, and distant metastatic samples from 14 mCRC patients. Additionally, the transcriptome of five CRC cell lines were sequenced to construct a circRNA catalog in CRC. Differential expression (DE) analysis identified circRNAs dysregulated between normal, primary, and metastatic tissues. Differential backsplicing (DS) analysis was used to highlight circRNAs with an altered tendency in backsplicing as compared to their linear counterparts. Cell-type deconvolution was performed using published CRC single-cell RNA-Seq datasets as signature matrices. The cell-type specific expression of circRNAs was then estimated through a non-negative least squares statistical model.
2023-05-04 | GSE221240 | GEO
Project description:Colorectal cancer (CRC) is the third most common cancer worldwide and liver metastasis remains the major cause of death in CRC. Extensive genomic analysis provided valuable insight into the pathogenesis and progression of CRC. However, the major proteogenomic characterization of CRC liver metastasis is still unknown. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.
2019-12-27 | GSE93286 | GEO
Project description:Increasing evidence has demonstrated a significant role for circular RNAs (circRNAs) in tumorigenesis. However, their functions in nasopharyngeal carcinoma (NPC) metastasis remain largely unknown. In this study, a model compared high and low metastatic NPC cell lines (S18 vs. S26) was constructed to determine the expression profile of circRNAs using the RNA sequencing analysis.
2020-02-24 | GSE137543 | GEO
Project description:Background: circRNAs, a recently identified new member of non-coding RNAs, have been proved to play an essential role in the development and progression of various cancers. However, the functions and mechanisms of circRNAs in colorectal liver metastasis have not been fully elucidated. Methods: We performed circRNA microarray to screen differentially expressed novel circRNAs in the pathology of colorectal liver metastasis. Quantitative real-time PCR was used to detect the circ102049 expression in colorectal cancer (CRC) samples. Then CRC cells were transfected with a circ102049 over-expression vector or siRNAs, and the effects of circ102049 on biological functions in CRC cells were accessed in vitro. Mechanistically, the bioinformatics analysis, fluorescence in situ hybridization, RIP assay, RNA pull down assay and luciferase reporter assay were conducted to confirm the relationships among circ102049, miR-761, miR-192-3p and FRAS1. Moreover, the mechanism of circ102049 how to recruit and distribute DGCR8 protein in cytoplasm was elucidated. Results: The results showed that circ102049 was highly expressed in primary CRC tumors with liver metastasis and closely correlated with the CRC patients' prognosis. Circ102049 might act as a novel metastasis-related non-coding RNA, and significantly promote the adhesion, migration and invasion abilities of CRC cells. Mechanistically, we verified that circ102049 promoted the CRC development and progression via a miR-761/miR-192-3p-FRAS1-dependent mechanism. Notably, due to the distribution of DGCR8 protein, circ102049 might also reduce the mature products of miR-761 and miR-192-3p in cytoplasm indirectly. In addition, the role of circ102049 in promoting colorectal liver metastasis was also confirmed in vivo. Conclusions: Our findings provided new clues that circ102049 might be a potential prognostic factor in CRC, and the circ102049-miR-761/miR-192-3p-FRAS1 axis could be further explored as a therapeutic target for anti-metastatic therapy in CRC patients with liver metastases. Keywords: Hsa_circ_102049, miR-761, miR-192-3p, FRAS1, Colorectal liver metastasis
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Project description:Circular RNAs (circRNAs) are widespread circular forms of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of both coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and micro-RNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms only. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes. Detection of circRNAs from RNA-Seq â triplicate
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Project description:Circular RNAs (circRNAs) are widespread circular forms of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of both coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and micro-RNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms only. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes. Histone 3 Lysine 27 Acetylation â 2 replicates
2015-12-17 | E-GEOD-71196 | biostudies-arrayexpress
Project description:Purpose: We are using the illumina sequencing to compare the false positive and true positive circular RNA findings to confine the method to detect the true circular RNAs Methods: The testis whole transcriptome profiling was generated from 4-week mouse testis using illumina Nextseq, duplicated. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Results: our data suggest that circular RNAs identified based on junction sequences in the RNA-seq reads, especially those from Illumina Hiseq sequencing, mostly result from template-switching events during reverse transcription by MMLV-derived reverse transcriptases. It is critical to employ reverse transcriptases lacking terminal transferase activity (e.g., MonsterScript) to construct sequencing library or perform RT-PCR for identification and quantification of true circular RNAs. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. The wild type mouse testis RNAs were constructed NGS library by two different enzyme, then parallel sequenced in illumina Nextseq
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Project description:Characterization of muscle circular RNAs and their regulatory networks
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Project description:Circular RNAs in nasopharyngeal carcinoma cell lines with different metastasis potential
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