LncRNA-seq in human lung cancer tissues
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE194299 | GEO | 2022/01/27
REPOSITORIES: GEO
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Project description:we conducted transcriptome and small RNA sequencing to identify differentially expressed genes (DEGs), miRNAs (DEMs), and lncRNAs (DELs). Function analysis on DEM-target genes can explain the regulatory roles of miRNAs in LC. The lncRNA-miRNA pairs, miRNA-mRNA pairs, and lncRNA-mRNA pairs were identified, which were then combined to construct the interplay of lncRNAs/miRNAs/mRNAs. And we used the online databases to verify the selected DEMs, DELs, and DEGs. Our study identified 2509 DEGs, 34 DEMs, and 432 DELs in LC patients. miRNA-mRNA pairs, including 1 miRNA (hsa-miR-21-5p) and 5 targeted genes (RECK, TIMP3, EHD1, RASGRP1 and ERG), were figured out. We finally found the hub subnetwork (LINC00632/has-miR-21-5p/TIMP3) by combining lncRNA-miRNA pairs, miRNA-mRNA pairs and lncRNA-mRNA pairs.
2022-01-27 | GSE194300 | GEO
Project description:Tibetan chicken has a suite of adaptive features to tolerate the high-altitude hypoxic environment as a unique native breed in Qinghai-Tibet Plateau of China. Increasing evidence suggests that long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) have roles in hypoxic adaptation of high-altitude animals, though their exact contributions remain unclear. This study aims to uncover the global landscape of mRNAs, lncRNAs and miRNAs using transcriptome sequencing so as to construct a regulatory network of competing endogenous RNAs (ceRNAs) provide a new sight for the hypoxic adaptation of Tibetan chicken embryos. In the study, 354 differentially expressed mRNAs (DEGs), 389 differentially expressed lncRNAs (DELs) and 73 differentially expressed miRNAs (DEMs) were identified between Tibetan (TC) and Chahua chicken (CH). The functional analysis showed that several important DEMs and their targets of DELs and DEMs are involved in angiogenesis (include blood vessel development and blood circulation) and energy metabolism (include glucose, carbohydrate and lipid metabolism). The ceRNA network was then constructed with the predicted pairs of DEGs-DEMs-DELs which further revealed regulatory roles of these differentially expressed RNAs in hypoxic adaptation of Tibetan chicken.
2020-10-28 | GSE160324 | GEO
Project description:Aim To identify transcript level differences between healthy and osteoarthritis meniscus in human keen joint using RNA-seq.Methods human menisci were isolated from non-OA patients and OA patients during arthroscopic surgery (N=5). Based on the RNA sequencing, differentially expressed lncRNAs (DELs) and mRNAs (DEMs) were screened.Expression level of selected autophagy-related lncRNAs and mRNAs was validated by real-time qPCR.Results we identified 310 DELs and 320 DEMs, and found five upregulated and one downregulated autophagy-related DEMs. After reverse prediction of miRNA, paired miRNA–lncRNA interactions and verification by RT-qPCR, the ceRNA regulatory networks were constructed consisting of two lncRNAs (PCAT19, CLIP1-ASA) and two mRNAs (BAG3 and HSP90AB1). Finally, GSEA indicated that the increased expressions of autophagy-related mRNAs inhibited the glycosaminoglycan biosynthesis in the degenerative meniscus.Conclusions for the first time ,we constructed an autophagy-related lncRNA-miRNA-mRNA regulatory ceRNA network based on RNA sequencing and experimental validation, which might provide new mechanistic insights and potential therapeutic targets for meniscal degeneration.
2024-07-10 | GSE263210 | GEO
Project description:Here, a combined small RNA and transcriptome sequencing analysis was performed on the BPH6-transgenic and Nipponbare plants sheath samples at the different feeding stage by BPH, and differentially expressed microRNAs (DEMs) and genes (DEGs) were identified and further analyzed for a possible involvement in BPH6 mediated resistance mechanism. A total of 217 DEMs and 7,874 DEGs were identified in the BPH6-transgenic and Nipponbare plants after BPH feeding. At the miRNA level, 29 miRNAs, including the members of miR160, miR166, miR169, miR1861, miR319 and miR390 family and other miRNAs, appeared opposite expression at early or late feeding stages between the two varieties, and 9 miRNAs specially expressed in the BPH6-transgenic plans, suggesting these miRNAs might play an important role in BPH6-mediated resistance to BPH. For the transcriptome, 949 DEGs appeared opposite expression at early or late feeding stages of two rice genotypes were identified and enriched in metabolic process, cellular development, cell wall organization, cellular component movement and hormone transport, and in involved in certain kinds of primary and secondary metabolite synthesis by GO and KEGG enrichment analysis. 24 genes were further selected to be considered as BPH resistance related gene candidates. Finally, integrated analysis of DEMs and DEGs showed that 34 miRNAs corresponding to 42 target genes were selected as BPH resistance related miRNA-mRNA interaction candidates, 18 pairs of which were identified by qRT-PCR, two pairs of which were further confirmed by protoplast fluorescence micrographs and western blotting.
2019-12-31 | GSE122993 | GEO
Project description:Objective: We intended to explore the potential molecular mechanisms underlying cardiac conduction block inducted by UT-B deletion at the transcriptome level. Methods: The heart tissues were harvested from UT-B null mice and age-matched wild-type mice for lncRNA sequencing analysis. Based on the sequencing data, the differentially expressed mRNAs (DEMs) and lncRNAs (DELs) between UT-B knockout and control groups were identified, followed by function analysis and mRNA-lncRNA co-expression analysis. The miRNAs were predicted, and then the competing endogenous RNA (ceRNA) network was constructed. Results: UT-B deletion results in the aberrant expression of 588 lncRNAs and 194 mRNAs. These DEMs were significantly enriched in inflammation-related pathway. A lncRNA-mRNA co-expression network and a ceRNA network was constructed on the basis of the DEMs and DELs. C7 (complement C7)-NONMMUT137216.1 co-expression pair had the highest correlation coefficient in the co-expression network. NONMMUT140591.1 had the highest degree in ceRNA network and involved in ceRNA of NONMMUT140591.1-mmu-miR-298-5p-Gata5 (GATA binding protein 5). Conclusion: UT-B deletion may promote cardiac conduction block via inflammatory process. The ceRNA NONMMUT140591.1-mmu-miR-298-5p-Gata5 may be a potential molecular mechanism of UT-B knockout-induced cardiac conduction block.
2021-03-12 | GSE168717 | GEO
Project description:Background: Bone nonunion is a serious complication of fracture. This study explored the differentially expressed lncRNAs (DELs) and mRNAs (DEGs) and identified potential lncRNA-mRNA interactions in bone nonunion. Methods: We extracted total RNA from three bone nonunion and three bone union patient tissue samples. RNA sequencing was performed to detect DELs and DEGs between bone nonunion and union tissue samples. The lncRNAs and genes with absolute log2-fold change (log2FC) > 1 and adjusted p value < 0.05 were further chosen for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. lncRNA and targeted mRNA interaction networks were constructed. Results: We observed 179 DELs and 415 DEGs between the bone nonunion and union tissue samples. GO analysis indicated that DELs and DEGs were mainly enriched in chondroitin sulfate proteoglycan biosynthetic process. DELs and DEGs were enriched in 'ECM-receptor interaction' and 'Staphylococcus aureus infection' KEGG pathways. Several potential lncRNA-mRNA interactions were also predicted. Conclusions: This study identified bone nonunion-associated lncRNAs and mRNAs using deep sequencing that may be useful as potential biomarkers for bone nonunion.
2022-09-26 | GSE213891 | GEO
Project description:Schmitz2014 - RNA triplex formation
The model is parameterized using the
parameters for gene CCDC3 from Supplementary Table S1. The two
miRNAs which form the triplex together with CCDC3 are miR-551b and
miR-138.
This model is described in the article:
Cooperative gene regulation
by microRNA pairs and their identification using a
computational workflow.
Schmitz U, Lai X, Winter F,
Wolkenhauer O, Vera J, Gupta SK.
Nucleic Acids Res. 2014 Jul; 42(12):
7539-7552
Abstract:
MicroRNAs (miRNAs) are an integral part of gene regulation
at the post-transcriptional level. Recently, it has been shown
that pairs of miRNAs can repress the translation of a target
mRNA in a cooperative manner, which leads to an enhanced
effectiveness and specificity in target repression. However, it
remains unclear which miRNA pairs can synergize and which genes
are target of cooperative miRNA regulation. In this paper, we
present a computational workflow for the prediction and
analysis of cooperating miRNAs and their mutual target genes,
which we refer to as RNA triplexes. The workflow integrates
methods of miRNA target prediction; triplex structure analysis;
molecular dynamics simulations and mathematical modeling for a
reliable prediction of functional RNA triplexes and target
repression efficiency. In a case study we analyzed the human
genome and identified several thousand targets of cooperative
gene regulation. Our results suggest that miRNA cooperativity
is a frequent mechanism for an enhanced target repression by
pairs of miRNAs facilitating distinctive and fine-tuned target
gene expression patterns. Human RNA triplexes predicted and
characterized in this study are organized in a web resource at
www.sbi.uni-rostock.de/triplexrna/.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000530.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000530 | BioModels
Project description:Here, a combined small RNA and transcriptome sequencing analysis was performed on the BPH6-transgenic and Nipponbare plants sheath samples at the different feeding stage by BPH, and differentially expressed microRNAs (DEMs) and genes (DEGs) were identified and further analyzed for a possible involvement in BPH6 mediated resistance mechanism. A total of 217 DEMs and 7,874 DEGs were identified in the BPH6-transgenic and Nipponbare plants after BPH feeding. At the miRNA level, 29 miRNAs, including the members of miR160, miR166, miR169, miR1861, miR319 and miR390 family and other miRNAs, appeared opposite expression at early or late feeding stages between the two varieties, and 9 miRNAs specially expressed in the BPH6-transgenic plans, suggesting these miRNAs might play an important role in BPH6-mediated resistance to BPH. For the transcriptome, 949 DEGs appeared opposite expression at early or late feeding stages of two rice genotypes were identified and enriched in metabolic process, cellular development, cell wall organization, cellular component movement and hormone transport, and in involved in certain kinds of primary and secondary metabolite synthesis by GO and KEGG enrichment analysis. 24 genes were further selected to be considered as BPH resistance related gene candidates. Finally, integrated analysis of DEMs and DEGs showed that 34 miRNAs corresponding to 42 target genes were selected as BPH resistance related miRNA-mRNA interaction candidates.
2019-12-31 | GSE123079 | GEO
Project description:Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiomyopath that caused by mutations in genes encoding proteins of the cardiac sarcomere. Although multiple efforts have been made to understand the pathogenesis of HCM, the mechanisms of how long noncoding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) network result in HCM still unkown. Herein, we acquired the different expression profiles of lncRNAs (DElncRNAs) and messenger RNAs (mRNA, DEGs) by using microarray, microRNAs (DEmiRNAs) by sequencing in plasma of HCM patients and healthy controls. LncRNA-miRNA pairs were predicted using miRcode and starBase, and crossed with DEmiRNAs. MiRNA-mRNA pairs were retrieved from miRanda and TargetScan, and crossed with DEGs. Combined these pairs, the ceRNA network was constructed and hub nodes were then analyzed to reconstruct subnetwork. Gene Ontology and KEGG pathways were used to analyse the mRNAs in the ceRNA. Total 520 DElncRNAs, 33 DEmiRNAs, and 371 DEGs were identified. By coexpression analysis, 682 lncRNA-mRNA pairs were identified with a coefficient ≥ 0.9 and p < 0.05. The ceRNA network with 8 lncRNAs, 3 miRNAs and 22 mRNAs was constructed visualized by Cytoscape. LncRNA RP11-66N24.4 and LINC00310 are among the top 10% nodes and the associated ceRNA subnetwork may be the center of the whole ceRNA network. Furthermore, the qRT-PCR results showed that LINC00310 was signifcantly decreased in HCM patients. For LINC00310, GO analysis revealed that the biological processes was enriched in cardiovascular system development, sprouting angiogenesis, circulatory system development and so on, and Pathway analysis was mainly enriched in cGMP-PKG signaling pathway. Our study reveals the novel lncRNA-related ceRNA network in HCM and the identified lncRNA LINC00310 may be roles in the pathogenesis mechanisms of HCM, which could provide further insight into the pathogenesis of HCM.
2022-09-28 | GSE197218 | GEO
Project description:Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiomyopath that caused by mutations in genes encoding proteins of the cardiac sarcomere. Although multiple efforts have been made to understand the pathogenesis of HCM, the mechanisms of how long noncoding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) network result in HCM still unkown. Herein, we acquired the different expression profiles of lncRNAs (DElncRNAs) and messenger RNAs (mRNA, DEGs) by using microarray, microRNAs (DEmiRNAs) by sequencing in plasma of HCM patients and healthy controls. LncRNA-miRNA pairs were predicted using miRcode and starBase, and crossed with DEmiRNAs. MiRNA-mRNA pairs were retrieved from miRanda and TargetScan, and crossed with DEGs. Combined these pairs, the ceRNA network was constructed and hub nodes were then analyzed to reconstruct subnetwork. Gene Ontology and KEGG pathways were used to analyse the mRNAs in the ceRNA. Total 520 DElncRNAs, 33 DEmiRNAs, and 371 DEGs were identified. By coexpression analysis, 682 lncRNA-mRNA pairs were identified with a coefficient ≥ 0.9 and p < 0.05. The ceRNA network with 8 lncRNAs, 3 miRNAs and 22 mRNAs was constructed visualized by Cytoscape. LncRNA RP11-66N24.4 and LINC00310 are among the top 10% nodes and the associated ceRNA subnetwork may be the center of the whole ceRNA network. Furthermore, the qRT-PCR results showed that LINC00310 was signifcantly decreased in HCM patients. For LINC00310, GO analysis revealed that the biological processes was enriched in cardiovascular system development, sprouting angiogenesis, circulatory system development and so on, and Pathway analysis was mainly enriched in cGMP-PKG signaling pathway. Our study reveals the novel lncRNA-related ceRNA network in HCM and the identified lncRNA LINC00310 may be roles in the pathogenesis mechanisms of HCM, which could provide further insight into the pathogenesis of HCM.
2022-09-28 | GSE197191 | GEO