Identification of circular RNA expression profiles and potential biomarkers for intracerebral hemorrhage

Epigenomics ◽  
2021 ◽  
Author(s):  
Congxia Bai ◽  
Tingting Liu ◽  
Yingying Sun ◽  
Hao Li ◽  
Ning Xiao ◽  
...  
Keyword(s):  
Immune System ◽  
Intracerebral Hemorrhage ◽  
Bioinformatics Analysis ◽  
Expression Profiles ◽  
Circular Rna ◽  
Rna Expression ◽  
Expression Levels ◽  
Qrt Pcr ◽  
Lysine Degradation ◽  
Potential Biomarkers

Aim: To investigate the expression profiles of circRNAs after intracerebral hemorrhage (ICH). Materials & methods: RNA sequencing and qRT-PCR were used to investigate and validate circRNA expression levels. Bioinformatics analysis was performed to explore potential functions of the circRNAs. Results: Expression levels of 15 circRNAs were consistently altered in patients with ICH compared with their expression levels in hypertension. Three circRNAs, hsa_circ_0001240, hsa_circ_0001947 and hsa_circ_0001386, individually or combined, were confirmed as promising biomarkers for predicting and diagnosing ICH. The circRNAs were involved mainly in lysine degradation and the immune system. Conclusion: This is the first study to report expression profiles of circRNAs after ICH and to propose that three circRNAs are potential biomarkers for ICH.

scholarly journals The Landscape of Circular RNA Expression Profiles in Papillary Thyroid Carcinoma Based on RNA Sequencing

2018 ◽  
Vol 47 (3) ◽  
pp. 1122-1132 ◽  
Author(s):  
Xiabin Lan ◽  
Jiajie Xu ◽  
Chao Chen ◽  
Chuanming Zheng ◽  
Jiafeng Wang ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Kegg Pathway ◽  
Expression Profiles ◽  
Roc Curves ◽  
Circular Rna ◽  
Papillary Thyroid ◽  
Biological Functions ◽  
Qrt Pcr ◽  
Potential Biomarkers

Background/Aims: Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. However, the molecular mechanisms responsible for its tumorigenesis and progression remain largely unknown. Circular RNA (circRNA) is a novel type of noncoding RNA that can serve as an ideal biomarker due to its stability. Recent evidence suggests that circRNAs play important roles in tumorigenesis. This study aims to investigate circRNA expression profiles and their potential biological functions in PTC. Methods: High-throughput RNA sequencing was used to assess circRNA expression profiles in PTC, and quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate dysregulated circRNAs. Receiver operating characteristic (ROC) curves were generated to evaluate the diagnostic value of circRNAs for PTC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were employed to determine the biological functions of differentially expressed circRNAs. Bioinformatic analyses were applied to predict interactions between circRNAs and microRNAs (miRNAs), and a circRNA-miRNA-mRNA network was constructed using Cytoscape software. Results: We identified a number of differentially expressed circRNAs in PTC tissues compared with paired normal thyroid tissues, with chr5: 160757890-160763776–, chr12: 40696591-40697936+, chr7: 22330794-22357656-, and chr21: 16386665-16415895– being upregulated, and chr7: 91924203-91957214+, chr2: 179514891-179516047–, chr9: 16435553-16437522–, and chr22: 36006931-36007153– being downregulated. These findings were confirmed by qRT-PCR, and ROC curves indicated that they can serve as potential biomarkers for PTC. GO and KEGG pathway analyses showed that some of these circRNAs are related to cancers. Additionally, bioinformatic analyses revealed a potential competing-endogenous-RNA-regulating network among circRNAs, miRNAs, and mRNAs. Conclusions: Our study results depict the landscape of circRNA expression profiles in PTC and also provide potential biomarkers for PTC. Further functional and mechanistic studies of these circRNAs may improve our understanding of PTC tumorigenesis.

Screening and bioinformatics analysis of circular RNA expression profiles in hepatitis B-related hepatocellular carcinoma

2018 ◽  
Vol 22 (4) ◽  
pp. 631-640 ◽  
Author(s):  
Shanshan Wang ◽  
Shichang Cui ◽  
Wenming Zhao ◽  
Zhiling Qian ◽  
Hui Liu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Hepatitis B ◽  
Bioinformatics Analysis ◽  
Expression Profiles ◽  
Circular Rna ◽  
Rna Expression

Circular RNA expression profiles alter significantly after intracerebral hemorrhage in rats

2020 ◽  
Vol 1726 ◽  
pp. 146490 ◽  
Author(s):  
Zhangqi Dou ◽  
Qian Yu ◽  
Guangyuan Wang ◽  
Shenglian Wu ◽  
Cesar Reis ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Expression Profiles ◽  
Circular Rna ◽  
Rna Expression

scholarly journals RNA-seq Identifies circRNAs Expression Profiles and Potential Biomarkers for Intracerebral Hemorrhage

2020 ◽  
Author(s):  
Cong-xia Bai ◽  
Ting-ting Liu ◽  
Ying-ying Sun ◽  
Hao Li ◽  
Ning Xiao ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Peripheral Blood ◽  
Expression Profiles ◽  
Area Under The Curve ◽  
Potential Functions ◽  
Circular Rnas ◽  
Logistic Regression Models ◽  
Discovery Sample ◽  
Lysine Degradation ◽  
Potential Biomarkers

Abstract Background: Circular RNAs (circRNAs) have shown promise as biomarkers because of their stability in peripheral blood, and they participate in various pathological processes of ischemic stroke; however, their expression profiles and the potential functions for intracerebral hemorrhage (ICH) stroke remain unclear. Methods: RNA sequencing was used to investigate the expression profiles of circRNA in a discovery sample of 129 subjects (44 patients with ICH, 42 hypertension (HTN) controls, and 43 patients with cerebral infarction (CI)), and an independent validation sample of 54 subjects (20 patients with ICH, 18 HTN controls, and 16 patients with CI). Quantitative real-time polymerase chain reaction was used to validate the circRNA expression levels. Logistic regression models were conducted to assess circRNAs as potential biomarkers for ICH. Bioinformatics analysis was performed to identify potential functions of circRNAs.Results: We found that 15 circRNAs including 5 upregulated circRNAs and 10 downregulated circRNAs were consistently altered only after ICH (fold change >1.5 and FDR < 0.05). We validated that hsa_circ_0001240 and hsa_circ_0001947 were upregulated and that hsa_circ_0001386 was downregulated in ICH compared with HTN and CI. The combination of 3 circRNAs showed an area under the curve of 0.92 with a sensitivity of 86% and a specificity of 88% for diagnosing ICH. Together with ICH risk factors, the circRNAs showed an area under the curve of 0.97 in diagnosing ICH. Functional analysis revealed circRNA target miRNA and mRNA are mainly involved in fatty acid biogenesis, lysine degradation, integrin cell surface interactions and the immune system.Conclusion: This is the first report to study the expression profile of circRNAs in peripheral blood after ICH, and a set of 3 circRNAs could serve as potential biomarkers for predicting and diagnosing ICH.

scholarly journals Genome-Wide Identification and Expression Analysis of GA2ox, GA3ox, and GA20ox Are Related to Gibberellin Oxidase Genes in Grape (Vitis Vinifera L.)

Genes ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 680 ◽  
Author(s):  
He ◽  
Liang ◽  
Lu ◽  
Wang ◽  
Liu ◽  
...  
Keyword(s):  
Gene Family ◽  
Real Time ◽  
Expression Analysis ◽  
Bioinformatics Analysis ◽  
Expression Profiles ◽  
Biologically Active ◽  
Vitis Vinifera L ◽  
Genome Database ◽  
Qrt Pcr ◽  
Grape Genome

Gibberellin (GAs) plays the important role in the regulation of grape developmental and growth processes. The bioinformatics analysis confirmed the differential expression of GA2, GA3, and GA20 gibberellin oxidase genes (VvGA2oxs, VvGA3oxs, and VvGA20oxs) in the grape genome, and laid a theoretical basis for exploring its role in grape. Based on the Arabidopsis GA2oxs, GA3oxs, and GA20oxs genes already reported, the VvGA2oxs, VvGA3oxs, and VvGA20oxs genes in the grape genome were identified using the BLAST software in the grape genome database. Bioinformatics analysis was performed using software such as DNAMAN v.5.0, Clustalx, MapGene2Chrom, MEME, GSDS v.2.0, ExPASy, DNAsp v.5.0, and MEGA v.7.0. Chip expression profiles were generated using grape Affymetrix GeneChip 16K and Grape eFP Browser gene chip data in PLEXdb. The expression of VvGA2oxs, VvGA3oxs, and VvGA20oxs gene families in stress was examined by qRT-PCR (Quantitative real-time-PCR). There are 24 GAoxs genes identified with the grape genome that can be classified into seven subgroups based on a phylogenetic tree, gene structures, and conserved Motifs in our research. The gene family has higher codon preference, while selectivity is negative selection of codon bias and selective stress was analyzed. The expression profiles indicated that the most of VvGAox genes were highly expressed under different time lengths of ABA (Abscisic Acid) treatment, NaCl, PEG and 5 °C. Tissue expression analysis showed that the expression levels of VvGA2oxs and VvGA20oxs in different tissues at different developmental stages of grapes were relatively higher than that of VvGA3oxs. Last but not least, qRT-PCR (Real-time fluorescent quantitative PCR) was used to determine the relative expression of the GAoxs gene family under the treatment of GA3 (gibberellin 3) and uniconazole, which can find that some VvGA2oxs was upregulated under GA3 treatment. Simultaneously, some VvGA3oxs and VvGA20oxs were upregulated under uniconazole treatment. In a nutshell, the GA2ox gene mainly functions to inactivate biologically active GAs, while GA20ox mainly degrades C20 gibberellins, and GA3ox is mainly composed of biologically active GAs. The comprehensive analysis of the three classes of VvGAoxs would provide a basis for understanding the evolution and function of the VvGAox gene family in a grape plant.

scholarly journals Understanding Pathogen-host Interplay by Expression Profiles of LncRNA and mRNA in the Liver of Echinococcus Multilocularis-infected Mice

2021 ◽  
Author(s):  
Xiaofeng Nian ◽  
Li Li ◽  
Xusheng Ma ◽  
Xiurong Li ◽  
Wenhui Li ◽  
...  
Keyword(s):  
Cell Differentiation ◽  
Potential Function ◽  
Western Blotting ◽  
Echinococcus Multilocularis ◽  
Th17 Cell ◽  
Antigen Processing ◽  
Expression Profiles ◽  
Expression Levels ◽  
Amino Terminal ◽  
Qrt Pcr

Abstract Background: Echinococcus multilocularis (Em) infection and the growth and proliferation of its metacestode within the internal organs of hosts are related to complex host–parasite interactions at the molecular level. Previous studies reported the profiles of long non-coding RNAs (lncRNAs) and mRNAs in Echinococcus granulosus-infected mice or cells, suggesting the potential role of lncRNAs in regulating host-parasite interplay. However, the profiles of lncRNAs and mRNAs of mice in response to Em are poorly understood. Methods: Numerous differentially expressed lncRNAs (DELs) and mRNAs (DEMs) in the mouse liver at eight time points after Em infection were identified by microarray. Functional Annotation of dysregulated DEMs was conducted by gene ontology (GO) classification and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The potential function of DELs was predicted by constructing lncRNA-mRNA co-expression network and Transcription factor (TF)-lncRNA-mRNA Ternary Network. Additionally, qRT-PCR and western blotting were used to validate the upregulated DEMs at 30 days post-infection (dpi), which were enriched in Toll-like and RIG-I-like receptor signaling pathways. Cytokines and chemokines involved in these two pathways were determined by ELISA.Results: Thirty-one DEMs and 68 DELs were found continuously dysregulated. These DEMs were notably enriched in the “antigen processing and presentation,” “Th1 and Th2 cell differentiation” and “Th17 cell differentiation” pathways. The potential function prediction of DELs revealed that most DELs might influence the differentiation of Th17 cell and TGF-β/Smad pathway through trans regulating the SMAD3, STAT1, and early growth response (EGR) genes. Additionally, the validated results by qRT-PCR and western blotting showed that the mRNA expression levels of these genes increased while the corresponding protein expression levels were unaltered except c-Jun amino-terminal kinase (JNK). Regardless, phospho-nuclear factor Kappa B (p-NF-κB) downstream of these two pathways was induced at 15 and 30 dpi, which led to the elevated levels of IL-1 beta and IL-6 in the serum. Conclusion: Our data provide novel clues in understanding the roles of lncRNAs in the host–Em interplay and the influence of Em infection on host innate immunity.

scholarly journals Circular RNA hsa_circ_0005046 and hsa_circ_0001791 May Become Diagnostic Biomarkers for Breast Cancer Early Detection

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Melika Ameli-Mojarad ◽  
Mandana Ameli-Mojarad ◽  
Mitra Nourbakhsh ◽  
Ehsan Nazemalhosseini-Mojarad
Keyword(s):  
Breast Cancer ◽  
Roc Curve ◽  
Expression Profiles ◽  
Circular Rna ◽  
Diagnostic Value ◽  
High Expression ◽  
Expression Level ◽  
Diagnostic Biomarker ◽  
Expression Levels ◽  
Normal Tissues

Breast cancer (BC) is one of the most common lethal diseases in women worldwide. Recent evidence has shown that covalently closed Circular RNA (circRNA) deregulation is observed in different human malignancies and cancers. Lately, circRNAs are being considered as a new diagnostic biomarker; however, the mechanism and the correlation of action between circRNAs and BC are still unclear. In the present study, we try to investigate the expression level of hsa_circ_0005046 and hsa_circ_0001791 in BC. By using quantitative real-time polymerase chain reaction (qRT-PCR), expression profiles of candidate circRNAs were detected in 60 BC tissue and paired adjacent normal tissues. Furthermore, the clinicopathological relation and diagnostic value were estimated. Our results showed the higher expression levels of hsa_circ_0005046 and hsa_circ_0001791 in BC tissues compared to paired adjacent normal tissues with P value ( P < 0.0001 ) for both circRNAs, and the area under the receiver operating characteristic (ROC) curve was 0.857 and 1.0, respectively; in addition, a total 10 miRNAs that can be targeted by each candidate circRNAs was predicted base on bioinformatics databases. Taken together, for the first time, the results of our study presented high expression levels of hsa_circ_0005046 and hsa_circ_00017916 in BC; although there was no direct correlation between the high expression level of both circRNAs with clinic pathological factors, except hsa_circ_0001791 association with estrogen receptors (ER), high ROC curve in expressed samples indicated that both circRNAs could be used as a new diagnostic biomarker for BC. Moreover, miRNAs selection tools predicted that miR-215 and mir-383-5p which have a tumor suppressor role in BC can be targeted by our candidate circRNAs to affect the PI3K/AKT pathway; in conclusion, further studies are required to validate the oncogene role of our candidate circRNAs through the PI3k pathway.

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