scholarly journals Long Non-Coding RNA Expression Profiles for the Characterization of Different Bladder Cancer Grade

2018 ◽  
Vol 50 (3) ◽  
pp. 1154-1163 ◽  
Author(s):  
Yue-Peng Cao ◽  
Jun Zhou ◽  
Wei-Jian Li ◽  
Yang Shao ◽  
Shu-Yun Zheng ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Expression Profiles ◽  
Low Grade ◽  
High Grade ◽  
Rt Pcr ◽  
Lncrna Expression ◽  
Non Coding Rna ◽  
Pathway Analyses ◽  
Long Non Coding Rna ◽  
Normal Urothelium

Background/Aims: Bladder cancer (BC) is one of the most frequent urologic tumors worldwide. However, long non-coding RNA(lncRNA) expression profiles in BC progression remain unclear. This study aimed to explore lncRNA expression profiles in different grades of bladder cancer and normal urothelium tissues. Methods: We performed high-throughput sequencing in BC tissues of different grade and obtained the expression profiles of its lncRNAs. Then, aberrantly expressed lncRNAs were validated by quantitative reverse transcription polymerase chain reaction (RT-PCR). Gene Ontology (GO) and pathway analyses were used to investigate the potential function of these lncRNAs. Co-expresson network was constructed to explore the relationship between lncRNAs and target mRNAs. Results: We identified 252 aberrantly expressed lncRNAs in high-grade BC while compared to low-grade BC, and 269 lncRNAs in high-grade BC while compared to normal urothelium. Notably, we found 33 overlapped lncRNAs. Subsequently, 7 lncRNAs were selected from the overlapped part and confirmed by RT-PCR. GO and pathway analyses showed that these dysregulated lncRNAs participated in cell migration, cell adhesion, as well as Ras signaling pathway. Co-expression network and The Cancer Genome Atlas (TCGA) data showed LUCAT1 and CCNB1 had positive relationship in regulating the progress of bladder cancer. Conclusion: Our findings revealed the significant role of lncRNAs in the development process of bladder cancer.

Long non-coding RNA expression profiles in neutrophils revealed potential biomarker for prediction of renal involvement in SLE patients

Rheumatology ◽  
2020 ◽  
Author(s):  
Bin Cai ◽  
Jingyi Cai ◽  
Zhihua Yin ◽  
Xiaoyue Jiang ◽  
Chao Yao ◽  
...  
Keyword(s):  
Disease Activity ◽  
Expression Profiles ◽  
Quantitative Polymerase Chain Reaction ◽  
Renal Involvement ◽  
Differentially Expressed ◽  
Healthy Controls ◽  
Lncrna Expression ◽  
Non Coding Rna ◽  
Potential Biomarker ◽  
Long Non Coding Rna

Abstract Objective The long non-coding RNA plays an important role in inflammation and autoimmune diseases. The aim of this study is to screen and identify abnormally expressed lncRNAs in peripheral blood neutrophils of SLE patients as novel biomarkers and to explore the relationship between lncRNAs levels and clinical features, disease activity and organ damage. Methods RNA-seq technology was used to screen differentially expressed lncRNAs in neutrophils from SLE patients and healthy donors. Based on the results of screening, candidate lncRNA levels in neutrophils of 88 SLE patients, 35 other connective disease controls, and 78 healthy controls were qualified by real-time quantitative polymerase chain reaction. Results LncRNA expression profiling revealed 360 up-regulated lncRNAs and 224 down-regulated lncRNAs in neutrophils of SLE patients when compared with healthy controls. qPCR assay validated that the expression of Lnc-FOSB-1:1 was significantly decreased in neutrophils of SLE patients when compared with other CTD patients or healthy controls. It correlated negatively with SLE Disease Activity Index 2000 (SLEDAI-2K) score (r = −0.541, P < 0.001) and IFN scores (r = −0.337, P = 0.001). More importantly, decreased Lnc-FOSB-1:1 expression was associated with lupus nephritis. Lower baseline Lnc-FOSB-1:1 level was associated with higher risk of future renal involvement (within an average of 2.6 years) in patients without renal disease at baseline (P = 0.019). Conclusion LncRNA expression profile in neutrophils of SLE patients revealed differentially expressed lncRNAs. Validation study on Lnc-FOSB-1:1 suggest that it is a potential biomarker for prediction of near future renal involvement.

scholarly journals A nomogram combining long non-coding RNA expression profiles and clinical factors predicts survival in patients with bladder cancer

Aging ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 2857-2879 ◽  
Author(s):  
Yifan Wang ◽  
Lutao Du ◽  
Xuemei Yang ◽  
Juan Li ◽  
Peilong Li ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Expression Profiles ◽  
Rna Expression ◽  
Clinical Factors ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Long non-coding RNA expression profiles in human parathyroid tumors

2017 ◽  
Author(s):  
Annamaria Morotti ◽  
Irene Forno ◽  
Valentina Andre ◽  
Andrea Terrasi ◽  
Chiara Verdelli ◽  
...  
Keyword(s):  
Expression Profiles ◽  
Rna Expression ◽  
Parathyroid Tumors ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Dynamic characteristics and functional analysis provide new insights into long non-coding RNA responsive to Verticillium dahliae infection in Gossypium hirsutum

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guoning Wang ◽  
Xingfen Wang ◽  
Yan Zhang ◽  
Jun Yang ◽  
Zhikun Li ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Verticillium Wilt ◽  
Dynamic Characteristics ◽  
Target Genes ◽  
Acid Metabolism ◽  
Expression Profiles ◽  
Enrichment Analysis ◽  
Alpha Linolenic Acid ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Abstract Background Verticillium wilt is a widespread and destructive disease, which causes serious loss of cotton yield and quality. Long non-coding RNA (lncRNA) is involved in many biological processes, such as plant disease resistance response, through a variety of regulatory mechanisms, but their possible roles in cotton against Verticillium dahliae infection remain largely unclear. Results Here, we measured the transcriptome of resistant G. hirsutum following infection by V. dahliae and 4277 differentially expressed lncRNAs (delncRNAs) were identified. Localization and abundance analysis revealed that delncRNAs were biased distribution on chromosomes. We explored the dynamic characteristics of disease resistance related lncRNAs in chromosome distribution, induced expression profiles, biological function, and these lncRNAs were divided into three categories according to their induced expression profiles. For the delncRNAs, 687 cis-acting pairs and 14,600 trans-acting pairs of lncRNA-mRNA were identified, which indicated that trans-acting was the main way of Verticillium wilt resistance-associated lncRNAs regulating target mRNAs in cotton. Analyzing the regulation pattern of delncRNAs revealed that cis-acting and trans-acting lncRNAs had different ways to influence target genes. Gene Ontology (GO) enrichment analysis revealed that the regulatory function of delncRNAs participated significantly in stimulus response process, kinase activity and plasma membrane components. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that delncRNAs participated in some important disease resistance pathways, such as plant-pathogen interaction, alpha-linolenic acid metabolism and plant hormone signal transduction. Additionally, 21 delncRNAs and 10 target genes were identified as being involved in alpha-linolenic acid metabolism associated with the biosynthesis of jasmonic acid (JA). Subsequently, we found that GhlncLOX3 might regulate resistance to V. dahliae through modulating the expression of GhLOX3 implicated in JA biosynthesis. Further functional analysis showed that GhlncLOX3-silenced seedlings displayed a reduced resistance to V. dahliae, with down-regulated expression of GhLOX3 and decreased content of JA. Conclusion This study shows the dynamic characteristics of delncRNAs in multiaspect, and suggests that GhlncLOX3-GhLOX3-JA network participates in response to V. dahliae invasion. Our results provide novel insights for genetic improvement of Verticillium wilt resistance in cotton using lncRNAs.

scholarly journals A robust signature of immune‐related long non‐coding RNA to predict the prognosis of bladder cancer

2021 ◽  
Author(s):  
Cong Lai ◽  
Zhenyu Wu ◽  
Zhuohang Li ◽  
Hao Yu ◽  
Kuiqing Li ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Integrated Analysis of Long Non-Coding RNA and mRNA Expression Profiles in Testes of Calves and Sexually Mature Wandong Bulls (Bos taurus)

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2006
Author(s):  
Hongyu Liu ◽  
Ibrar Muhammad Khan ◽  
Huiqun Yin ◽  
Xinqi Zhou ◽  
Muhammad Rizwan ◽  
...  
Keyword(s):  
Target Genes ◽  
Expression Profiles ◽  
Age Groups ◽  
Adherens Junction ◽  
Integrated Analysis ◽  
Sequencing Data ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Rna Interaction ◽  
Long Non Coding Rna

The mRNAs and long non-coding RNAs axes are playing a vital role in the regulating of post-transcriptional gene expression. Thereby, elucidating the expression pattern of mRNAs and long non-coding RNAs underlying testis development is crucial. In this study, mRNA and long non-coding RNAs expression profiles were investigated in 3-month-old calves and 3-year-old mature bulls’ testes by total RNA sequencing. Additionally, during the gene level analysis, 21,250 mRNAs and 20,533 long non-coding RNAs were identified. As a result, 7908 long non-coding RNAs (p-adjust < 0.05) and 5122 mRNAs (p-adjust < 0.05) were significantly differentially expressed between the distinct age groups. In addition, gene ontology and biological pathway analyses revealed that the predicted target genes are enriched in the lysine degradation, cell cycle, propanoate metabolism, adherens junction and cell adhesion molecules pathways. Correspondingly, the RT-qPCR validation results showed a strong consistency with the sequencing data. The source genes for the mRNAs (CCDC83, DMRTC2, HSPA2, IQCG, PACRG, SPO11, EHHADH, SPP1, NSD2 and ACTN4) and the long non-coding RNAs (COX7A2, COX6B2, TRIM37, PRM2, INHBA, ERBB4, SDHA, ATP6VOA2, FGF9 and TCF21) were found to be actively associated with bull sexual maturity and spermatogenesis. This study provided a comprehensive catalog of long non-coding RNAs in the bovine testes and also offered useful resources for understanding the differences in sexual development caused by the changes in the mRNA and long non-coding RNA interaction expressions between the immature and mature stages.

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