scholarly journals Small non-coding RNA profiling in human biofluids and surrogate tissues from healthy individuals: description of the diverse and most represented species

Oncotarget ◽  
2017 ◽  
Vol 9 (3) ◽  
pp. 3097-3111 ◽  
Author(s):  
Giulio Ferrero ◽  
Francesca Cordero ◽  
Sonia Tarallo ◽  
Maddalena Arigoni ◽  
Federica Riccardo ◽  
...  
BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 757 ◽  
Author(s):  
Deivendran Rengaraj ◽  
Sang Lee ◽  
Tae Park ◽  
Hong Lee ◽  
Young Kim ◽  
...  

2017 ◽  
Author(s):  
Xianghua Liu ◽  
Andrew Hunter ◽  
Qing Zhang ◽  
Quanyuan He ◽  
Annemarie Benton ◽  
...  

2016 ◽  
Vol 106 (3) ◽  
pp. e302
Author(s):  
T. Cozzubbo ◽  
N. Pereira ◽  
S. Cheung ◽  
A.P. Clement ◽  
Z. Rosenwaks ◽  
...  

2019 ◽  
Vol 25 (8) ◽  
pp. 491-502
Author(s):  
Ling Guo ◽  
Linna Li ◽  
Yang Zhang ◽  
Shulin Fu ◽  
Jing Zhang ◽  
...  

LPS can induce an inflammatory immune response in the intestine, and long non-coding RNA (lncRNA) is involved in the process of inflammatory disease. However, the biological role of lncRNA in the intestinal inflammation of piglets remains unclear. In this study, the lncRNA expression profile of the ileal mucosa of piglets challenged by LPS was analysed using lncRNA sequencing. In total, 112 novel lncRNAs were predicted, of which 58 were up-regulated and 54 down-regulated following LPS challenge. Expression of 15 selected lncRNAs was validated by quantitative PCR. We further investigated the target genes of lncRNA that were enriched in the signalling pathways involved in the inflammatory immune response by utilising Gene Ontology and Kyoto Encyclopaedia of Genes and Genomes analysis, with cell adhesion molecules and mTOR signalling pathway identified. In addition, the co-expression networks between the differentially expressed lncRNAs and the target mRNAs were constructed, with seven core lncRNAs identified, which also demonstrated that the relationship between lncRNAs and the target genes was highly correlated. Our study offers important information about the lncRNAs of the mucosal immune system in piglets and provides new insights into the inflammatory mechanism of LPS challenge, which might serve as a novel target to control intestinal inflammation.


2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Varun Kesherwani ◽  
Mamta Shukla ◽  
Don W. Coulter ◽  
J. Graham Sharp ◽  
Shantaram S. Joshi ◽  
...  

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1572-1572
Author(s):  
Youshan Zhao ◽  
Chunkang Chang ◽  
Xiao Li

Abstract Background A few reports have suggested chromosomal and gene expression abnormalities in mesenchymal stem cells in patients with MDS. Recently years, there is growing evidence for a role of the non-coding RNA in the transcriptional control of gene expression. Characterization of protein-coding and non-coding RNA expression in mesenchymal stem cells of MDS patients could be strategic for understanding gene expression regulation and role of marrow microenvironment in the pathophysiology of MDS. Methods In this study, gene expression profiles of MSC in 10 patients with MDS were compared with 5 healthy individuals using human transcriptome array. This array allows comprehensive examination of gene expression and noncoding transcripts, as well as detection of coding SNPs and genome-wide identification of alternative splicing. Real-time RT-PCR was performed to confirm the expression levels of selected transcripts. Results In MSC of MDS patients, 2628 genes were significantly differentially expressed (p≤0.01) in comparison to healthy individuals, of which 945(36%) were protein-coding transcripts. Gene ontology and pathway analysis were performed on those protein-coding genes. The significant significant ontology themes for up-regulated gene in MDS include cell division, mitosis, DNA repair and regulation of transcription, and for down-regulated genes include cytokine-mediated signaling pathway, inflammatory response and positive regulation of mitosis. Pathway analysis identified the deregulated gene pathway were main associated with purine metabolism, cytokine-cytokine receptor interaction, toll-like receptor signaling pathway, and so on. In non-coding RNA, 79 were long noncoding RNA (LncRNA), which were reported in database. We used gene coexpression networks to cluster thousands of transcripts into phenotypically relevant coexpression modules. The coexpression patterns of lncRNAs and protein-coding RNAs in MDS and controls were different. In the MDS coexpression network, differentially expressed lncRNAs were mainly focused on gene function related to ribosome biogenesis, tRNA processing, and so on. Conclusions These results demonstrated the differential RNA expression profile between MDS and healthy individuals, suggesting that lncRNAs may play an important role in dysfunctional microenvironment in MDS. Disclosures: No relevant conflicts of interest to declare.


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