scholarly journals Differentially-expressed mRNAs, microRNAs and long noncoding RNAs in intervertebral disc degeneration identified by RNA-sequencing

Bioengineered ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 1026-1039
Author(s):  
Zhimin Li ◽  
Yu Sun ◽  
Maolin He ◽  
Jianwei Liu
Keyword(s):  
Intervertebral Disc ◽  
Rna Sequencing ◽  
Disc Degeneration ◽  
Intervertebral Disc Degeneration ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Differentially Expressed

scholarly journals Genome-Wide Identification of Long Noncoding RNAs in Human Intervertebral Disc Degeneration by RNA Sequencing

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Bo Zhao ◽  
Minjuan Lu ◽  
Dong Wang ◽  
Haopeng Li ◽  
Xijing He
Keyword(s):  
Intervertebral Disc ◽  
Rna Sequencing ◽  
Disc Degeneration ◽  
Intervertebral Disc Degeneration ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Cerna Network ◽  
Genome Wide

Long noncoding RNAs (lncRNAs) are emerging as crucial players in a myriad of biological processes. However, the precise mechanism and functions of most lncRNAs are poorly characterized. In this study, we presented genome-wide identification of lncRNAs in the patients with intervertebral disc degeneration (IDD) and spinal cord injury (control) using RNA sequencing (RNA-seq). A total of 124.6 million raw reads were yielded using Hiseq 2500 platform and approximately 88% clean reads could be aligned to human reference genome in both IDD and control groups. RNA-seq profiling indicated that 1,854 lncRNAs were differentially expressed (log2 fold change ≥ 1 or ≤-1, p<0.05), in which 1,530 could potentially target 6,386 genes via cis-regulatory effects. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis for these target genes suggested that lncRNAs were involved in diverse pathways, such as lysosome, focal adhesion, and MAPK signaling. In addition, a competing endogenous RNA (ceRNA) network was constructed for analyzing the function of lncRNAs. Further, quantitative real time PCR (qRT-PCR) was used to confirm the differentially expressed lncRNAs and ceRNA network. In conclusion, our results present the first global identification of lncRNAs in IDD and may provide candidate diagnostic biomarkers for IDD treatment.

Profiling and bioinformatics analysis of differentially expressed circular RNAs in human intervertebral disc degeneration

2019 ◽  
Vol 51 (6) ◽  
pp. 571-579 ◽  
Author(s):  
Shunmin Wang ◽  
Jingchuan Sun ◽  
Haisong Yang ◽  
Weiguo Zou ◽  
Bing Zheng ◽  
...  
Keyword(s):  
Intervertebral Disc ◽  
Disc Degeneration ◽  
Intervertebral Disc Degeneration ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Circular Rnas ◽  
Functional Changes ◽  
Qrt Pcr ◽  
Reverse Transcription Pcr ◽  
Microarray Expression

AbstractThe functional changes of nucleus pulposus (NP) cells are considered to be the initiating factors of intervertebral disc degeneration (IDD), and the differentially expressed circRNAs in NP cells may play an important role in the process of IDD. To identify circular RNAs (circRNAs) associated with human IDD, we isolated the NP cells from human degenerated and non-degenerated intervertebral disc and identified NP cells by microscopy and cell proliferation. CircRNA microarray expression profiles were obtained from NP cells of degenerated and non-degenerated intervertebral disc and further validated by quantitative reverse transcription PCR (qRT-PCR). The expression data were analyzed by bioinformatics. Microarray analysis identified 7294 circRNAs differentially expressed in degenerated human IDD NP cells. Among them, 3724 circRNAs were up-regulated and 3570 circRNAs were down-regulated by more than 2 folds. After validating by qRT-PCR, we predicted the possible miRNAs of the top dysregulated circRNAs using TargetScan, and miRanda. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that the most modulated circRNAs regulate the viability, degradation, apoptosis and oxidative stress in NP cells, and the possible mechanism underlying IDD was discussed. These results revealed that circRNAs may play a role in IDD and might be a promising candidate molecular target for gene therapy.

scholarly journals Noncoding RNAs in human intervertebral disc degeneration: An integrated microarray study

Genomics Data ◽  
2015 ◽  
Vol 5 ◽  
pp. 80-81 ◽  
Author(s):  
Xu Liu ◽  
Lu Che ◽  
Yan-Ke Xie ◽  
Qing-Jie Hu ◽  
Chi-Jiao Ma ◽  
...  
Keyword(s):  
Intervertebral Disc ◽  
Disc Degeneration ◽  
Intervertebral Disc Degeneration ◽  
Noncoding Rnas ◽  
Microarray Study

scholarly journals Integrated Analysis of a circRNA-miRNA-mRNA Axis in Intervertebral Disc Degeneration

2020 ◽  
Author(s):  
Laifu Wei ◽  
Bizhi Tu ◽  
Fei Gao ◽  
Jun Qian
Keyword(s):  
Intervertebral Disc ◽  
Disc Degeneration ◽  
Intervertebral Disc Degeneration ◽  
Underlying Mechanism ◽  
Differentially Expressed ◽  
Circular Rnas ◽  
Integrated Analysis ◽  
Control Group ◽  
Common Symptom ◽  
Sequencing Data

Abstract Background: Low back pain (LBP) is a common symptom in daily life and one of the primary causes is intervertebral disc degeneration (IDD). Growing studies have indicated that circular RNAs (circRNAs) are intimately associated with IDD; however, the underlying mechanism has not yet been elucidated. We aimed to explore how circRNAs regulate IDD in an effort to provide novel insight for clinical diagnosis and treatment. Methods: The sequencing data of circRNAs, microRNAs (miRNAs), and mRNA were acquired from Gene Expression Omnibus (GEO) datasets. By analyzing the dataset consisting of a control group and degenerated group, differentially expressed circRNAs, miRNAs, and mRNAs were collected, and then the intersection of circRNAs, miRNAs, and mRNAs was screened. According to these intersectional RNAs, we constructed an integrally circRNA-miRNA-mRNA network. Finally, using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, we further clarified functions of the intersectional mRNA in IDD. Results: we obtained 620 differentially expressed circRNAs(DEcircRNAs), 13 miRNA (DEmiRNA), 273 mRNAs(DEmRNAs), 12 intersectional miRNAs, and 47 intersectional mRNAs. Finally, based on interactional 8 circRNA, 5 miRNAs and 15 mRNAs, an integrally circRNA-miRNA-mRNA network was constructed. Eight circRNAs, contained hsa_circ_0032254, hsa_circ_0003183, hsa_circ_0032253, hsa_circ_0001293, hsa_circ_0004565, hsa_circ_0091570, hsa_circ_0077526, and hsa_circ_0057552, may regulate IDD onset and progression by acting as competing endogenous RNAs. The results of GO and KEGG analyses implied that the targeted genes might significantly correlate to IDD.Conclusion: our findings improved a better understanding of the circRNA-related ceRNA regulatory mechanism in IDD and offered possible targets for IDD treatment.

scholarly journals Emerging evidence on noncoding-RNA regulatory machinery in intervertebral disc degeneration: a narrative review

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Hao-Yu Guo ◽  
Ming-Ke Guo ◽  
Zhong-Yuan Wan ◽  
Fang Song ◽  
Hai-Qiang Wang
Keyword(s):  
Intervertebral Disc ◽  
Disc Degeneration ◽  
Noncoding Rna ◽  
Regulatory Networks ◽  
Intervertebral Disc Degeneration ◽  
Target Genes ◽  
Noncoding Rnas ◽  
Circular Rnas ◽  
Form Complex ◽  
Underlying Mechanisms

AbstractIntervertebral disc degeneration (IDD) is the most common cause of low-back pain. Accumulating evidence indicates that the expression profiling of noncoding RNAs (ncRNAs), including microRNAs (miRNAs), circular RNAs (circRNAs), and long noncoding RNAs (lncRNAs), are different between intervertebral disc tissues obtained from healthy individuals and patients with IDD. However, the roles of ncRNAs in IDD are still unclear until now. In this review, we summarize the studies concerning ncRNA interactions and regulatory functions in IDD. Apoptosis, aberrant proliferation, extracellular matrix degradation, and inflammatory abnormality are tetrad fundamental pathologic phenotypes in IDD. We demonstrated that ncRNAs are playing vital roles in apoptosis, proliferation, ECM degeneration, and inflammation process of IDD. The ncRNAs participate in underlying mechanisms of IDD in different ways. MiRNAs downregulate target genes’ expression by directly binding to the 3′-untranslated region of mRNAs. CircRNAs and lncRNAs act as sponges or competing endogenous RNAs by competitively binding to miRNAs and regulating the expression of mRNAs. The lncRNAs, circRNAs, miRNAs, and mRNAs widely crosstalk and form complex regulatory networks in the degenerative processes. The current review presents novel insights into the pathogenesis of IDD and potentially sheds light on the therapeutics in the future.

scholarly journals RNA sequencing analysis of altered expression of long noncoding RNAs associated with Schistosoma japonicum infection in the murine liver and spleen

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Tianqi Xia ◽  
Bikash Ranjan Giri ◽  
Jingyi Liu ◽  
Pengfei Du ◽  
Xue Li ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Schistosoma Japonicum ◽  
Target Genes ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Differentially Expressed ◽  
Protein Coding ◽  
Altered Expression ◽  
Protein Coding Genes

Abstract Background Schistosomiasis is a chronic, debilitating infectious disease caused by members of the genus Schistosoma. Previous findings have suggested a relationship between infection with Schistosoma spp. and alterations in the liver and spleen of infected animals. Recent reports have shown the regulatory role of noncoding RNAs, such as long noncoding RNAs (lncRNAs), in different biological processes. However, little is known about the role of lncRNAs in the mouse liver and spleen during Schistosoma japonicum infection. Methods In this study, we identified and investigated lncRNAs using standard RNA sequencing (RNA-Seq). The biological functions of the altered expression of lncRNAs and their target genes were predicted using bioinformatics. Ten dysregulated lncRNAs were selected randomly and validated in reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR) experiments. Results Our study identified 29,845 and 33,788 lncRNAs from the liver and spleen, respectively, of which 212 were novel lncRNAs. We observed that 759 and 789 of the lncRNAs were differentially expressed in the respective organs. The RT-qPCR results correlated well with the sequencing data. In the liver, 657 differentially expressed lncRNAs were predicted to target 2548 protein-coding genes, whereas in the spleen 660 differentially expressed lncRNAs were predicted to target 2673 protein-coding genes. Moreover, functional annotation showed that the target genes of the differentially expressed lncRNAs were associated with cellular processes, metabolic processes, and binding, and were significantly enriched in metabolic pathways, the cell cycle, ubiquitin-mediated proteolysis, and pathways in cancer. Conclusions Our study showed that numerous lncRNAs were differentially expressed in S. japonicum-infected liver and spleen compared to control liver and spleen; this suggested that lncRNAs may be involved in pathogenesis in the liver and spleen during S. japonicum infection.

scholarly journals Integrated transcriptome and proteome analyses identifies novel genes and regulatory networks in intervertebral disc degeneration

2019 ◽  
Author(s):  
Chen Xu ◽  
Shengchang Luo ◽  
Leixin Wei ◽  
Huiqiao Wu ◽  
Wei Gu ◽  
...  
Keyword(s):  
Intervertebral Disc ◽  
Nucleus Pulposus ◽  
Disc Degeneration ◽  
Regulatory Network ◽  
Intervertebral Disc Degeneration ◽  
Mrna Level ◽  
Differentially Expressed ◽  
Label Free ◽  
Proteomic Approach ◽  
Normal Nucleus

Abstract Background: Intervertebral disc degeneration is a major cause of symptoms like low back pain and neck pain. Many groups have tried to reveal the regulatory network using either transcriptome or proteome profiling technologies, however, the relationship between these differentially expressed proteins and mRNAs are not elucidated. Since post-transcriptional regulation and other mechanisms may affect the translation of mRNA to protein, a combined transcriptome and proteome study may give more precise data on unveiling important regulatory network and key genes of Intervertebral disc degeneration. Results: In the present study, we used the label-free quantification proteomic approach and identify 656 proteins expressed in either degenerated or normal nucleus pulposus, of which 503 proteins are differentially expressed. Taking advantage of the existing nucleus pulposus transcriptome data, we combine and reanalyze the data and find 105 differentially expressed mRNA between degenerated and normal nucleus pulposus. By comparing these data, only 9 genes show significant changes in both protein and mRNA data, while 6 genes (TNFAIP6, CHI3L1, KRT19, DPT, COL6A2 and COL11A2) show concordant changes in both protein and mRNA level. Further functional analyses show different functions of the altered mRNAs and proteins in degeneration, indicating great difference between protein network and mRNA network. Using the gene co-expression network method, we uncover novel regulatory network and potential genes that may play vital roles in intervertebral disc degeneration by combining protein and mRNA data. Conclusions: This is the first study to identify novel regulatory network of intervertebral disc degeneration using combined analysis of both transcriptome and proteome, which may give new insight into the molecular mechanism of intervertebral disc degeneration.

scholarly journals Transcriptional Profiling Uncovers Biologically Significant RNAs and Regulatory Networks in Nucleus Pulposus from Intervertebral Disc Degeneration Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-33
Author(s):  
Yuanyuan Chen ◽  
Bin Cai ◽  
Xiaofeng Lian ◽  
Jianguang Xu ◽  
Tao Zhang
Keyword(s):  
Intervertebral Disc ◽  
Nucleus Pulposus ◽  
Disc Degeneration ◽  
Regulatory Networks ◽  
Intervertebral Disc Degeneration ◽  
Transcriptional Profiling ◽  
Gene Expression Omnibus ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Repeatability Test

Objective. This study aimed to uncover biologically significant RNAs in nucleus pulposus tissues of human intervertebral disc degeneration (IVDD) by integrated transcriptional profiling. Methods. From the Gene Expression Omnibus (GEO) database, three IVDD-related microarray profiling datasets were retrieved and assessed by intragroup data repeatability test. Then, differentially expressed circRNAs, lncRNAs, mRNAs, and miRNAs were screened in nucleus pulposus tissues between IVDD and control samples via the limma package. Coexpression networks were separately conducted via weighted gene correlation network analysis (WGCNA). Based on the feature RNAs in the IVDD-related modules, IVDD-related circRNA-miRNA-mRNA and lncRNA-miRNA-mRNA networks were conducted. The differentially expressed mRNAs in the two networks were analyzed by protein-protein interaction (PPI) and functional enrichment analyses. Results. By the intragroup data repeatability test, outlier samples were removed. Abnormally expressed RNAs were separately identified in nucleus pulposus between IVDD and controls. Via WGCNA, IVDD-related coexpression modules were constructed and the feature circRNAs, lncRNAs, mRNAs, and miRNAs were identified. Then, the circRNA- and lncRNA-miRNA-mRNA networks were built for IVDD. These mRNAs in the network exhibited complex interactions. Moreover, they were involved in distinct IVDD-related biological processes and pathways such as transcription, cell proliferation, TNF, TGF-β, and HIF signaling pathways. Conclusion. This study revealed biologically significant noncoding RNAs and their complex regulatory networks for IVDD.

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