Analysis of exosomal circRNAs upon irradiation in pancreatic cancer cell repopulation
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ABSTRACT:
PROVIDER: PRJNA548744 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9291511_1.fastq.gz | Fastqsanger.gz | |||
| SRR9291511_2.fastq.gz | Fastqsanger.gz | |||
| SRR9291512_1.fastq.gz | Fastqsanger.gz | |||
| SRR9291512_2.fastq.gz | Fastqsanger.gz | |||
| SRR9291513_1.fastq.gz | Fastqsanger.gz |
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Project description:Next generation sequencing (NGS) and bioinformatics were performed to analysis and annotate the expression profiles and functions of exosome-derived circRNAs in pancreatic cells during radiation. A total of 12572 circRNAs were identified, and 3580 circRNAs were annotated in literatures and circBase. There were 196 filtered differentially expressed circRNAs (182 for up-regulated and 14 for down-regulated, fold change > 2, p-value < 0.05). GO and KEGG analyses indicated that regulation of metabolic process and lysine degradation were the main biological processes and pathway enrichment. 4 circRNAs were chosen for qRT-PCR analysis to validate the sequencing. The hsa_circ_0002130-hsa-miR-4482-3p-NBN interaction network suggested potential miRNA sponges and target mRNAs. Our results provided potential functions of circRNAs to explore molecular mechanisms and therapeutic targets in pancreatic cancer cell upon irradiation.
2020-07-09 | GSE132678 | GEO
Project description:BackgroundPancreatic cancer is one of the most malignant tumors. However, radiotherapy can lead to tumor recurrence, which is caused by the residual surviving cells repopulation stimulated by some molecular released from dying cells. Exosomes may mediate cell-cell communication and transfer kinds of signals from the dying cells to the surviving cells for stimulating tumor repopulation. Circular RNAs (circRNAs) may be one vital kind of exosomal cargos involving in modulating cancer cell repopulation.MethodsNext generation sequencing (NGS) and bioinformatics were performed to analyze and annotate the expression and function of exosome-derived circRNAs in pancreatic cancer cells after radiation. Four circRNAs were chosen for qRT-PCR analysis to validate the sequencing results.ResultsIn this study, 3580 circRNAs were annotated in literatures and circBase among 12,572 identified circRNAs. There were 196 filtered differentially expressed circRNAs (the up-regulation and down-regulation respectively is 182 and 14, fold change > 2, p-value < 0.05). Regulation of metabolic process and lysine degradation were the main enriched biological processes and pathway according to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis.ConclusionsThe hsa_circ_0002130-hsa_miR_4482-3p-NBN interaction network suggested potential sponging miRNA and target mRNA. Our results provided potential functions of circRNAs to explore molecular mechanisms and therapeutic targets in pancreatic cancer cell repopulation upon irradiation.
| S-EPMC7391519 | biostudies-literature
Project description:Analysis of exosomal miRNAs upon irradiation in pancreatic cancer cells
| PRJNA577933 | ENA
Project description:Purpose: This study aimed to explore the differential expression profiles of exosomal lncRNAs and evaluated their potential utility in the accurate diagnosis of LAA stroke. Methods: LncRNA profiles of exosomes in large artery atherosclerosis stroke and controls were generated by high-throughput sequencing. The sequence reads that passed quality filters were analyzed at the transcript isoform level with Hisat2, Trapnell, STAR. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: A total of 1020 differentially expressed lncRNAs were identified in LAA stroke patients. GO and KEGG pathway analyses indicated that their target genes are involved in atherosclerosis-related pathways, including inflammation, cell adhesion, and cell migration. 8 exosomal lncRNAs were confirmed with qRT–PCR.The result showed that the expression trend of differential expressed lncRNAs in validation was consistent with RNA-seq.Conclusion: Our study showed the differential expression of lncRNAs in plasma exosomes and presented related diagnostic potential for LAA stroke for the first time. The results suggested that exosomal lncRNA could be potential diagnostic tools in LAA stroke. Circular RNAs (circRNAs), novel endogenous noncoding RNAs, play diverse roles in ischemic stroke. Recently, the abundance and stability of circRNAs in exosomes have been identified. However, a comprehensive analysis of exosomal circRNAs in large artery atherosclerotic (LAA) stroke has not yet been reported. We performed RNA sequencing (RNA-Seq) to comprehensively identify differentially expressed exosomal circRNAs in five paired LAA and normal controls. RNA-Seq identified a total of 462 circRNAs in peripheral exosomes; there were 25 differentially expressed circRNAs among them. Additionally, circRNA competing endogenous RNA (ceRNA) network and translatable analysis revealed the potential functions of the exosomal circRNAs in LAA progression. Two ceRNA pathways involving 5 circRNAs, 2 miRNAs, and 3 mRNAs were confirmed by qRT-PCR. In the validation cohort, receiver operating characteristic (ROC) curve analysis identified two circRNAs as possible novel biomarkers, and a logistic model combining two and four circRNAs increased the area under the curve compared with the individual circRNAs.
2021-06-08 | GSE173719 | GEO
Project description:CircRNA sequencing for 10 samples To assess the serum exosomal circular RNAs (circRNAs) expression profile and explore the potential functions in human colorectal cancer (CRC).The differentially expressed circRNAs profiles of CRC (n=5) and age-matched healthy controls(n=5) were analyzed using RNA-seq profiling. Quantitative real-time PCR was used to validate the expression pattern of circRNAs.Bioinformatic tools including network analysis, Gene ontology, and KEGG pathway analysis were utilized.
2020-05-15 | GSE149200 | GEO
Project description:Exosomal circRNA sequencing was used to identify differentially expressed circRNAs between LAA stroke and normal controls. From a further validation stage, the results were validated using RT-qPCR.
2022-02-02 | GSE190869 | GEO
Project description:Sequencing of serum exosomal circRNAs in colorectal cancer
| PRJNA627650 | ENA
Project description:Background: Circular RNA (circRNA) has been reported to be involved in the pathogenesis of cardiovascular disease (CVD), however, it is unclear whether circRNA carried by exosomes (exos) can be used as biomarkers for chronic coronary syndrome (CCS). This study aimed to investigate the expression pattern of exosomal circRNAs in the plasma of CCS patients, and to screen exo-circRNAs that can act as biomarkers for the diagnosis of CCS. Methods: High-throughput sequencing technology was carried out in the plasma exosomal RNA of 15 CCS patients and 15 non-cardiac chest pain patients (NCCP, control group) (sequencing cohort) to screen for differentially expressed circRNAs. Selected differentially expressed exo-circRNAs were further verified by real time polymerase chain reaction (RT-PCR) in a small-sample cohort (derivation cohort) and a large-sample cohort (validation cohort). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of exo-circRNAs for CCS patients. Results: By high-throughput sequencing of circRNAs in 15 CCS patients and 15 NCCP patients, 276 circRNAs differentially expressed in plasma exosomes of CCS patients were screened by using |log2(Fold change) |>1 and q-value<0.001, and 103 were up-regulated and 173 were down-regulated. Among the 103 up-regulated circRNAs, 5 circRNAs with high expression levels and significantly increased in plasma exosomes of CCS patients were selected for validation. Twice RT-PCR validation demonstrated that exo-hsa_circ_0075269 and exo-hsa_circ_0000284 were significantly up-regulated in patients with CCS (P<0.001). Circulating exo-hsa_circ_0075269 and exo-hsa_circ_0000284 yielded the area under the curve (AUC) values of 0.761 (P<0.001, 95%CI=0.669, 0.852) and 0.623 (P=0.015, 95%CI=0.522, 0.724) for CCS, respectively by ROC curve analysis. Moreover, AUC of hsa_circ_0075269 combined with hsa_circ_0000284 for diagnosing CCS was 0.741 (P<0.001, 95%CI=0.667, 0.850). Conclusion: The expression profile of circRNA in plasma exosomes of patients with CCS was significantly different from that of the control group. Plasma exo-hsa_circ_0075269 and exo-hsa_circ_0000284 have the potential to be new biomarkers for CCS diagnosis.
2023-11-09 | GSE237983 | GEO
Project description:Hepatic echinococcosis (HE) caused by Echinococcus spp. transmitted from carnivores is known as a severe zoonotic disease that formed into hepatic cystic echinococcosis (HCE) and hepatic alveolar echinococcosis (HAE). It continues to be a serious public health issue around the world. HAE is uncommon infection which is characterized by poor prognosis but it is the most life-threatening compare to HCE. Many cases of HAE are recognized at forward stages because clinical symptoms may remain silent in about 10 years of incubation period. Several pathological cases could be observed including septicemia, abscess, recurrent cholangitis, and portal hypertensive gastrointestinal bleeding in untreated people. It is provided that correlated factors includes CD44, Soluble ST2 (sST2), Plasma IL-23, IL-27, and IL-5 for metastasis and prognosis for patients with HAE were identified. However, data on metastatic and prognostic marker are still so poor. Recent studies have revealed that circRNAs are enriched and stable in exosomes. Exosomal circRNAs may be localized in platelet-derived extracellular vesicles, hepatic cells, and pancreatic cancer cells. Studies have suggested that it is possible that cells may transfer circRNAs by excreting them in exosomes. Whereas there are a lot of studies on cancer and other human diseases related exosomal circRNA, no studies on hepatic alveolar echinococcosis-related exosomal circRNAs in humans. Current study provides that exosomal circular RNAs from healthy humans and humans with hepatic alveolar echinococcal disease were detected and characterized using the RNA sequencing.
2022-09-01 | GSE183607 | GEO
Project description:We used miRNA-seq and bioinformatics to analyze and annotate the expression profiles exosomal miRNAs in pancreatic cancer cells after radiation, compared with the unirradiated cells. A total of 481 miRNAs were identified, and 284 miRNAs were annotated in miRBase. There were 22 filtered differentially expressed miRNAs (9 for up-regulated and 13 for down-regulated, fold change > 2, p-value < 0.05). This study provides the results of exosomal miRNA change in pancreatic cancer cells after radiation.
2020-06-14 | GSE138983 | GEO