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Profiling and bioinformatics analyses reveal differential expression of circular RNA in tongue cancer revealed by high-throughput sequencing

ABSTRACT: Profiling and bioinformatics analyses reveal differential expression of circular RNA in tongue cancer revealed by high-throughput sequencing

PROVIDER: PRJNA486674 | ENA |

REPOSITORIES: ENA

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Profiling and bioinformatics analyses reveal differential expression of circular RNA in tongue cancer revealed by high-throughput sequencing

Project description:Circular RNAs (circRNA) are special non-coding RNAs. They are widely present, but with unknown functions. Recent studies have shown that many endogenous circRNAs have sponge function to absorb microRNAs. They can regulate target gene mRNA expression and play important roles in many biological processes. However, expression profile and function of circRNAs in human TSCC haven’t been reported. High-throughput sequencing was performed to identify and annotate from three TSCC tissues and adjacent tissues. A separate set (n=20) of human TSCCs and corresponding adjacent tissues were subjected to RT-PCR for validation of circular RNAs expression profile. GO functional analysis, KEGG pathway analysis, and circRNA–microRNA network analysis were also performed to predict the function of circRNA in TSCC.A total of 12,156 circRNAs were identified and annotated, most of the circRNAs were novel (n=6,231) and exonic (62.09%). Statistical analysis revealed 322 differentially expressed (DE) circRNAs. RT-PCR results showed that circRNA expression in TSCC was higher than that in adjacent tissues. GO functional analysis, KEGG pathway analysis, and circRNA–microRNA network analysis all showed that circRNAs correlated with tumor development and progression to a certain extent. The present study is the first to systematically characterize and annotate circRNA expression in TSCC, the majority were novel circRNAs. Some host genes of the DE circRNAs were involved in tumor signaling pathway and had complicated correlations with tumor-relevant microRNAs, indicating that circRNAs might be promoted development and progression of TSCC.

2018-12-31 | GSE118750 | GEO

Analysis of differentially expressed long noncoding RNAs, circular RNAs and the associated TF‐mRNA network in tongue squamous cell carcinoma

Project description:Purpose: The purpose of this study was to identify aberrantly expressed lncRNAs, circular RNAs and the associated TF‐mRNA network in TSCC. Methods: Tongue tumor noncoding and mRNA profiles of tongue squamous cell carcinoma and adjacent noncancerous tissues were generated by deep sequencing, using Illumina HiSeq 4000. Results: Using an optimized data analysis workflow. Conclusions: we found a profile of dysregulated lncRNAs, TFs and mRNAs that could serve as prospective clinical biomarkers because of their tissue specificity and association with the tumorigenesis and progression of TSCC.

2020-08-04 | GSE149008 | GEO

Integrated proteomics and phosphoproteomics revealed druggable kinases in neoadjuvant chemotherapy resistant tongue cancer

Project description:Tongue squamous cell carcinoma is characterised by poor prognosis and high metastatic events. Patients with unresectable tumors are benefiting from neoadjuvant chemotherapy (NACT) which surgical resection, and controls distant metastasis, and locoregional recurrence. However, resistance to NACT limit the success of the treatment regimen. In this study, we investigated the altered proteome and phosphoproteome of NACT resistant and sensitive cohort using Mass spectrometry-based proteomics. We carried out proteomic as well as phosphoproteomic analysis of treatment naïve tongue cancer patients whose response to NACT is recorded. Proteomic analysis revealed distinct protein expression between the responders and non-responders. The Phosphoproteomic analysis revealed kinases and the pathways associated with NACT resistance in tongue cancer.

2023-03-11 | PXD037356 | Pride

MicroRNA profiling of retinoic acid-induced myogenic tongue abnormalities in fetal mice

Project description:In this study present here, we established RA-induced tongue abnormal mice model, muscle samples acquired from the tongue body and genioglossus of fetuses on E15.5 was used to get differently expressed miRNA in RA-induced group, then validated by qRT-PCR, futher analysis was conducted by bioinformatics method.

2021-03-26 | GSE67553 | GEO

Research on the circular RNA bioinformatics in patients with acute myocardial infarction

Project description:Research on the circular RNA bioinformatics in patients with acute myocardial infarction

| PRJNA627213 | ENA

Circular RNA expression in tongue squamous cell carcinoma patients

Project description:circRNA microarrays were performed with 2 pairs of tongue squamous cell carcinoma and their matched adjacent tissues. The statistical significance of the difference was estimated by t-test. circRNAs having fold changes 1.5 and p-values 0.05 are selected as the significantly differentially expressed. The data from microarray indicated that there were 54 upregulated and 70 downregulated circRNAs in TSCC tissues.

2022-09-30 | GSE157918 | GEO

RNA expression in tongue squamous cell carcinoma, tumour free tongue tissue and control tongue

Project description:Tongue squamous cell carcinoma is a tumour type with rather low five year survival, around 60%. The poor survival rate has been ascribed to late detection, a high frequency of locoregional recurrence, the occurrence of secondary primary tumours and death due to comorbidity. One reason for development of recurrence is thought to be the existence of transformed cells in areas adjacent to the primary tumour, cancerization field effect. The aim of this study was to map the changes in the tumour free tongue tissue adjacent to tongue tumours compared with healthy control tongue tissue to better understand the cancerization field effect. Tissue biopsies were collected from tumour (T) and tumour free tissue adjacent to the tumour (TF) from patients with tongue squamous cell carcinoma. Control tissue was collected from latter border of the tongue of tumour free healthy volunteers (C). All samples were homogenized and RNA was extracted. The RNA was biotin labelled and run on Illumina HT-12 bead chip array.

2016-12-21 | E-MTAB-4678 | biostudies-arrayexpress

Gene expression profiling of archival tongue carcinoma and normal tongue tissue

Project description:This SuperSeries is composed of the following subset Series: GSE34105: Gene expression profiling of archival tongue carcinoma and normal tongue tissue (all samples) GSE34106: Gene expression profiling of archival tongue carcinoma and normal tongue tissue (subset) Refer to individual Series

2012-05-10 | E-GEOD-34115 | biostudies-arrayexpress

Identify and characterize the circular RNAs expressed in in the half-smooth tongue sole (Cynoglossus semilaevis)

Project description:Half-smooth tongue sole (Cynoglossus semilaevis) is a commercially valuable flatfish, ranking among the most valuable fishes in the coastal areas of China. It has an asymmetric body shape with lateralization of the eyes to the same side during metamorphosis as same as the other flatfish species. However, little is known about the function and profile of circRNAs in the half-smooth tongue sole. In this study,a total of 2730 circRNAs were identified from in the fish by deep RNA-sequencing technique.

2017-09-27 | GSE103984 | GEO

Transcript profiling of normal oral keratinocytes and the tongue squamous cell carcinoma line LK0412

Project description:The current study analyzed a unique, serum-free medium derived tongue squamous cell carcinoma (TSCC) line termed LK0412 relative to the normal state to elucidate biomarkers at the protein and transcript level. A bioinformatics approach using Gene Ontology categories, gene networks and signature evaluation was applied to combine the protein and transcript data for identification of various gene signatures. The generated signatures were further assessed in public available data sets from normal and tumor tongue tissues. The analysis identified a novel gene signature that may improve the diagnosis and treatment of TSCC.

2014-01-31 | GSE21866 | GEO

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