Development of circRNAs expression signatures in exosomes derived from different gastric cancer cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE202538 | GEO | 2022/05/12
REPOSITORIES: GEO
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Project description:Exosomes from the culture media (CM) of four GC cells (GCCs) and human gastric epithelial cells were isolated. Exosomal RNA was extracted, and lncRNA microarray assay was performed to identify GC-specific exosomal lncRNAs. A total of 199 exosomal lncRNAs were expressed at considerable higher levels in GCCs than those in normal controls, among which the top 10 upregulated lncRNAs were selected for further validation. qRT-PCR revealed that lnc-SLC2A12-10:1 was remarkably upregulated in exosomes derived from patients with GC and GCCs. The expression levels of the candidate exosomal lncRNAs lnc-SLC2A12-10:1 were validated in 120 subjects via quantitative reverse transcription PCR (qRT-PCR).The result suggested that exosomal lnc-SLC2A12-10:1 may be a potential noninvasive biomarker for the diagnosis and prognosis monitoring of GC.
2020-06-04 | GSE148334 | GEO
Project description:we used microarray technology to construct a comparative circRNA profiling of exosomes isolated from cell supernatant of high glucose stimulated human proximal tubular epithelial cell line (HK-2 cells) and nomal controls, aimed to explore gene expression and the underlying molecular mechanism of exosomal circRNAs in DN development.
2023-12-13 | GSE207495 | GEO
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: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:Background: Osteoporosis is one of the most common chronic diseases around the world, especially in postmenopausal women. Circular RNAs (circRNAs) are emerging as important regulators in human disease. The aim of the present study was to analyze circRNA expression profiles in osteoporosis and to explore the clinical significance. Methods: The serum samples were collected from osteoporosis patients and healthy people. The circRNA array was performed to screen for differentially expressed circRNAs. The mRNA expression levels of target genes were analyzed by quantitative real-time PCR (qRT-PCR). Results: Hsa_circ_0006859 was identified as one of the most upregulated circRNAs in the microarray analysis. Hsa_circ_0006859 in exosome was upregulated in osteoporosis patients compared with healthy controls. Hsa_circ_0006859 could differentiate osteopenia or osteoporosis patients from healthy controls with high sensitivity and specificity. Conclusion: Exosomal hsa_circ_0006859 is a potential biomarker for postmenopausal osteoporosis.
2020-11-13 | GSE161361 | 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: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:Purpose: The purpose of this study was to detect the expression profiles of circRNAs, lncRNAs and mRNAs in umbilical cord blood (UCB) exosomes from BPD infants. Methods:Microarray analysis was performed to compare the RNA profiles of UCB-derived exosomes from preterm newborn with and without BPD. Then, circRNA/lncRNA-miRNA-mRNA co-expression networks were built to determine their associations with BPD.Results:A total of 317 circRNAs, 104 lncRNAs, 135 mRNAs showed significant differential expression in UCB-derived exosomes from BPD preterm infants compared with the NBPD group. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted for examining differentially expressed exosomal circRNAs, lncRNAs and mRNAs. Our results showed the GO terms and KEGG pathways mostly involving differentially expressed exosomal RNAs were closely associated with endothelial or epithelial cell development. In addition, two networks were identified, including circRNA-circ_0086018/miR-762/MEN1 and lncRNA-BASP1-AS1/miR-20a-5p/DNAJC22 networks, which may take part in BPD.
2022-08-31 | GSE190215 | 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:Circular RNAs (circRNAs) are an endogenous class of animal RNAs. Despite their abundance, their function and expression in the nervous system are unknown. Therefore, we sequenced RNA from different brain regions, primary neurons, isolated synapses, as well as during neuronal differentiation. Using these and other available data, we discovered and analyzed thousands of neuronal human and mouse circRNAs. circRNAs were extraordinarily enriched in the mammalian brain, well conserved in sequence, often expressed as circRNAs in both human and mouse, and sometimes even detected in Drosophila brains. circRNAs were overall upregulated during neuronal differentiation, highly enriched in synapses, and often differentially expressed compared to their mRNA isoforms. circRNA expression correlated negatively with expression of the RNA-editing enzyme ADAR1. Knockdown of ADAR1 induced elevated circRNA expression. Together, we provide a circRNA brain expression atlas and evidence for important circRNA functions and values as biomarkers. To assess circRNA expression in mammalian brain, we sequenced and analyzed mouse brain regions (hippocampus, cerebellum, prefrontal cortex and olfactory bulb), various neuronal differentiation (mouse P19 and human SH-SY5Y cells) and maturation (mouse cortical neurons) stages, and subcellular compartments in mouse (synaptoneurosomal fraction, cytoplasmic fraction, whole brain lysate).
2015-04-24 | E-GEOD-65926 | biostudies-arrayexpress