LncRNA and transcriptomic analysis of fetal membrane revealed potential targets involved in oligohydramnios
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE142701 | GEO | 2019/12/30
REPOSITORIES: GEO
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Project description:Objective: To analysis lncRNAs expression profiles and identify differentially expressed lncRNAs in CD4+ T cells response to T. pallidum infection in neurosyphilis patients. Methods: CD4+ T cells were isolated from peripheral blood mononuclear cells. RNA extraction was performed to conduct further experiments. Expression profiles of mRNAs and lncRNAs in CD4+ T cells isolated from neurosyphilis patients and healthy controls were analyzed by using microarray assay. Four lncRNAs were selected to conduct validation by using real time-quantitative polymerase chain reaction and the expression levels of those above mentioned lncRNAs in neurosyphilis patients and healthy controls were compared. Results: In total, 17, 278 lncRNAs and 15, 840 mRNA were found to be differentially expressed when comparing the CD4+ T cells between neurosyphilis patients and healthy control individuals. Of these transcripts, 2258 lncRNAs and 1728 mRNAs were significantly over or under expressed, respectively. Compared with healthy controls, AC068282.3 (fold change: 21.90) and CTD-3064M3.3 (fold change: 23.93) were the most over-expressed and under-expressed lncRNAs in neurosyphilis patients. The majority of differentially expressed lncRNAs are from intergenic regions (~ 57.5%), intronic antisense to protein-coding loci (~ 15.0%), natural antisense to protein-coding loci (~12.1%). It is worth noting that 59 lncRNAs were significant difference along with significantly different mRNA. Among the 59 pairs of genes, LOC7999 mRNA was positively correlated with lncRNA RP11-160E2.16, RP11-160E2.11, RP11-160E2.19, respectively; NKX1-1 mRNA was positively correlated with lncRNA RP11-1398P2.1, RP11-160E2.19, XLOC_003422, respectively. The following five mRNAs were correlated with two differential lncRNAs, namely DUSP16, AP000349.1, FAM115C, TIMM8A, SMCHD1. GO analysis revealed that the differentially expressed coding genes were mainly involved in the biological processes, and among them, the most significant association was observed in defense response to fungus, defense response to bacterium, killing cells of other organism and disruption of cells of other organism. Subsequent pathway analysis was also conducted, and T cell receptor signaling pathway, MAPK signaling pathway, TGF-beta signaling pathway, etc. were found out to be associated with differentially expressed mRNAs. Conclusion: The present study revealed the differential expression profiles of lncRNAs in CD4+ T cells response to T. pallidum infection in neurosyphilis patients. LncRNAs are involved in the key biological process in CD4+ T cell response to T. pallidum infection.
2017-09-08 | GSE103599 | GEO
Project description:Objectives: The aim of this study was to identify the long noncoding RNAs (lncRNAs) and mRNAs that influence the different manifestations of peri-implantitis and periodontitis (I vs. P). Materials and methods: Gingival tissues from 6 peri-implantitis patients, 6 periodontitis patients, and 6 healthy individuals were analysed using lncRNAs and mRNAs gene expression microarrays. A lncRNAs subgroup analysis, a lncRNAs cluster graph, gene ontology (GO), and a pathway analysis of mRNAs were performed to analyse the data extracted from microarrays. To verify the results of the microarray studies, quantitative real-time polymerase chain reaction (qRT-PCR) was used to assess some differentially expressed lncRNAs and mRNAs. Results: In the gene expression microarray studies, 1,079 differentially expressed lncRNAs and 1,003 differentially expressed mRNAs were identified when comparing I vs. P. The lncRNAs subgroup analysis showed that there were 9 significantly up-regulated antisense lncRNAs and 18 significantly down-regulated antisense lncRNAs when comparing I vs. P. GO analysis on mRNAs revealed that the cyclooxygenase pathway is the most prominent signal among the up-regulated transcripts (3 genes) and that hemidesmosome assembly represents the most significant biological process among the down-regulated transcripts (4 genes) when comparing I vs. P. The expression levels of antisense lncRNA GACAT2 and mRNA MTCL1, antisense lncRNA MSC-AS1 with its sense mRNA MSC and TRPA1 were verified by RT-qPCR. Conclusions: Results indicated that peri-implantitis and periodontitis exhibit significantly different lncRNAs and mRNAs expression profiles. Additionally, specific lncRNAs may take part in the pathogenesis mechanisms of peri-implantitis and periodontitis through influencing their nearby mRNAs.
2020-10-24 | GSE106090 | GEO
Project description:Background:Exosomes are extracellular vesicles secreted by a variety of cells and are widely distributed in human body fluids. Exosomal long non-coding RNA (lncRNA) is a by-product of gene transcription and is involved in the regulation of cancer cell growth and migration. Numerous studies have identified aberrant lncRNA levels in pancreatic cancer (PC), but studies on exosomal lncRNA expression in pancreatic ductal adenocarcinoma (PDAC) plasma are relatively few and remain largely unknown. Methods:We studied the expression of exosomal lncRNAs and mRNAs in the plasma of 5 PDAC patients and 5 healthy human subjects using high-throughput sequencing. Results:A total of 43715 exosomal lncRNAs were found to be expressed in PDAC and healthy human plasma, of which 5851 were up-regulated, and 1055 were down-regulated in all 5 PDAC plasma (≥2.0-fold change, P<0.05). The expression of eight significantly expressed genes (ABCD4, RP11-77P6.2, FLVCR1-AS1, HMBOX1, TUBA1C, RP11-115C21.2, PRKG1-AS1, and MTATP6P1) were selected to be measured in 5 patients using database and real-time quantitative reverse transcription PCR (qRT-PCR), and the data were consistent with those obtained from high-throughput sequencing. Analysis of their nearby coding genes (mRNAs) showed that the principal functions of most genes were to regulate cell metabolism process, apoptosis, protein binding and receptor binding. The main regulatory pathways included the ErbB signaling pathway, which regulates cell proliferation and differentiation, and the tumour pathway. Analysis of the co-expressed gene regulatory network identified key lncRNA-mRNA pairs that may play an important role in the pathogenesis of PDAC. Conclusions: Expression differences in exosomal lncRNAs exist between PDAC and healthy human plasma, so the expression profile of exosomal lncRNAs could explain the onset and development of PDAC and could also serve as a candidate biomarker for the diagnosis of PDAC and a potential therapeutic target.
2022-01-01 | GSE175436 | GEO
Project description:Objective: The aim of this study was to reveal the function of the long non-coding RNA (lncRNA) RP11-556E13.1 (RP11) and its clinical significance in hepatocellular carcinoma. Methods: LncRNA and mRNA expression profiling was performed using lncRNA and mRNA microarrays in 5 pairs of HCC and adjacent tissues. 112 paired HCC and adjacent tissue samples were analyzed by semiquantitative real-time polymerase chain reaction (sqRT-PCR) to evaluate the expression of RP11 and its possible associated clinical significance. Smart silencer RNA (siRNA) was used to knockdown the expression of RP11 in HCC cells. After knockdown, the function of RP11 was determined in vitro using some kinds of cell functional experiments in HCC cells including cell proliferation assay, cell apoptosis assay and cell cycle assay. Western blotting (WB) was performed to detect proteins that were presumably associated with these functional changes. An Affymetrix Human HTA2.0 microarray was used to detect differentially expressed genes in HCC cells after RP11 knockdown. GO enrichment and KEGG pathway enrichment analysis were then performed to elucidate the biological roles of these differentially expressed mRNAs.
2022-04-18 | GSE200861 | GEO
Project description:Methods and Materials The high throughput RNA sequencing (RNA-seq) data from kidney biopsies of LN patients and controls was applied studied to screen for candidate lncRNAs. Quantitative real-time polymerase chain reaction(RT-qPCR) was used to detect the expression of lncRNAs and individual IFN-stimulated genes (ISGs). Western blotting and dual-luciferace luciferase reporter assay was adopted to explore the specific function of the candidate lncRNA. Results The expression of lncRNA RP11-2B6.2 was significantly increased in the kidney tissues from LN patients compared with those from healthy controls, and positive correlated with the degree of disease activity and renal injuryinjuries. Additionally, expression of LncRNA RP11-2B6.2 could be stimulated by type I IFN. Silencing it RP11-2B6.2 significantly reduced the expression of a group of interferon-stimulating genes(ISGs) including IFIT1, OAS1, etc., Furthermore, it lncRNA RP11-2B6.2 affected the expression of IFN alpha and beta receptor subunit 1 (IFNAR1), phosphorylation of Jak1 and Stat1, and the luciferase activity induced by interferon stimulated response element(ISRE). Conclusion Long noncoding RNA RP11-2B6.2 is a positive regulator of the type I IFN signaling pathway in LN. It LncRNA RP11-2B6.2 may contribute to the pathogenesis of LN and provide served as a potentially therapeutic target.
2019-05-01 | GSE98422 | GEO
Project description:LncRNA expression profiling for liver tissues of mice fed for NFD, LSF and HSF groups Summary: An abstract of the experiment and the data analysis. Experiment Workflow: A workflow of the experiment and the data analysis. Project Description: Sample and experiment information. Array Information: Mouse 8 x 60K LncRNA expression array information. Summary Table of Files for Data Delivery: Contains summary table of files for data delivery and the recommended software programs for viewing the data. Data Analysis for LncRNAs 1. Raw LncRNA data normalization and low intensity filtering: Raw signal intensities were normalized in quantile method by GeneSpring GX v11.5.1, and low intensity LncRNAs were filtered (LncRNAs that at least 6 out of 9 samples have flags in Present or Marginal were chosen for further analysis, these LncRNAs can be found from the LncRNA Expression Profiling Data.xls file). 2. Quality assessment of LncRNA data after filtering: Contains Box Plot and Scatter Plot for LncRNAs after filtering (This data can be found from the LncRNA Expression Profiling Data.xls file). 3. Differentially expressed LncRNAs screening: Contains differentially expressed genes with statistical significance that passed Volcano Plot filtering (Fold Change >= 2.0, P-value <= 0.05) (This data can be found from the Differentially Expressed LncRNAs.xls file). 4. Heat Map and Hierarchical Clustering: Hierarchical Clustering of Differentially Expressed LncRNAs (The heat map can be found from the LncRNA Expression Profiling Data.xls file). Data Analysis for mRNAs 1. Raw mRNA data normalization and low intensity filtering: Raw signal intensities were normalized in quantile method by GeneSpring GX v11.5.1, and low intensity mRNAs were filtered (mRNAs that at least 6 out of 9 samples have flags in Present or Marginal were chosen for further analysis, these mRNAs can be found from the mRNA Expression Profiling Data.xls file). 2. Quality assessment of mRNA data after filtering: Contains Box Plot and Scatter Plot for mRNAs after filtering (This data can be found from the mRNA Expression Profiling Data.xls file). 3. Differentially expressed mRNAs screening: Contains differentially expressed genes with statistical significance that passed Volcano Plot filtering (Fold Change >= 2.0, P-value <= 0.05) (This data can be found from the Differentially Expressed mRNAs.xls file). 4. Heat Map and Hierarchical Clustering: Hierarchical Clustering of Differentially Expressed mRNAs (The heat map can be found from the mRNA Expression Profiling Data.xls file). 5. Pathway analysis: Pathway analysis of the differentially expressed mRNAs. 6. GO analysis: GO term analysis of the differentially expressed mRNAs. LncRNA Classification and Subgroup Analysis 1. Rinn lincRNAs profiling: Contains profiling data of all lincRNAs based on John Rinn's papers (This data can be found from the Rinn lincRNAs profiling.xls file). 2. LincRNAs nearby coding gene data table: Contains the differentially expressed lincRNAs and nearby coding gene pairs (distance < 300 kb) (This data can be found from the LincRNAs nearby coding gene data table.xls file). Sample RNA Quality Control: Sample quality control data file from NanoDrop ND-1000 spectrophotometer and standard denaturing agarose gel electrophoresis. Methods: A brief introduction of methods for sample preparation, microarray design, experiment, and data analysis.
2022-11-24 | E-MTAB-9167 | biostudies-arrayexpress
Project description:Long noncoding RNA (lncRNA) plays important roles in morphological differentiation and development in eukaryotes. In filamentous fungi, however, little is known about lncRNAs and their roles in sexual development. Here we describe sexual stage-induced lncRNAs during the formation of perithecium, the sexual fruiting body of Fusarium graminearum. We identified 547 lncRNAs whose expression were developmental stage-specific; about 40% of them peaked during ascus development, when meiosis occurs. A large fraction of the lncRNAs were found to be antisense to mRNAs, forming 300 sense–antisense pairs. Although small RNAs were produced from these overlapped loci, most of the antisense lncRNAs appeared not to be involved in gene silencing pathways. Rather, the expression of antisense lncRNA and sense mRNA pairs tended to be induced in parallel as the perithecium matured. To identify regulatory components for lncRNA expression, we analyzed mutants defective in the nonsense-mediated decay (NMD) pathway. A subset of lncRNAs was specifically targeted by NMD, suggesting a suppressive role of NMD in lncRNA expression during vegetative growth. This study provides comprehensive resources for studying developmental lncRNA that may be important for laying out the multicellular fruiting body plan.
2018-08-16 | GSE109088 | GEO
Project description:Long noncoding RNA (lncRNA) plays important roles in morphological differentiation and development in eukaryotes. In filamentous fungi, however, little is known about lncRNAs and their roles in sexual development. Here we describe sexual stage-induced lncRNAs during the formation of perithecium, the sexual fruiting body of Fusarium graminearum. We identified 547 lncRNAs whose expression were developmental stage-specific; about 40% of them peaked during ascus development, when meiosis occurs. A large fraction of the lncRNAs were found to be antisense to mRNAs, forming 300 sense–antisense pairs. Although small RNAs were produced from these overlapped loci, most of the antisense lncRNAs appeared not to be involved in gene silencing pathways. Rather, the expression of antisense lncRNA and sense mRNA pairs tended to be induced in parallel as the perithecium matured. To identify regulatory components for lncRNA expression, we analyzed mutants defective in the nonsense-mediated decay (NMD) pathway. A subset of lncRNAs was specifically targeted by NMD, suggesting a suppressive role of NMD in lncRNA expression during vegetative growth. This study provides comprehensive resources for studying developmental lncRNA that may be important for laying out the multicellular fruiting body plan.
2018-08-16 | GSE109094 | GEO
Project description:Long non-coding RNAs (lncRNAs) play important roles in numerous diseases and represent an emerging layer of cancer biology. However, the role that lncRNAs play in the pathogenesis of pediatric B-cell leukemia (B-ALL) with t(12;21) (ETV6-RUNX1) translocation is largely unknown. In this study, we assessed the lncRNA expression profiles of 42 pediatric B-ALL (24 with and 18 without the t(12;21) translocation) and 4 bone marrows from healthy donors. We identified 117 lncRNAs that were differentially expressed (fold change> 1.5 and FDR > 0.05) between the B-ALL subgroups (ETV6-RUNX1-positive and ETV6-RUNX1-negative). The most upregulated lncRNAs in ETV6-RUNX1 positive B-ALL were TCL6, RP4-697K14.3, LOC100292680, RP11-345I18.1, LINC00599 and TRAF3IP2-AS1, while the most downregulated were RP11-135F9.1, RP11-561B11.1, AK095221, RP11-463H12.1, AC007283.4 and CCDC26. Coding-non-coding gene co-expression networks were constructed to identify lncRNAs with potential functions in ETV6-RUNX1 translocation. Levels of representative lncRNA-mRNA pairs were further detected by RT-qPCR in patients with pediatric B-ALL. Importantly, pediatric B-ALL patients who expressed low levels of the lncRNA TCL6 had lower disease-free survival than patients with high levels of TCL6. Thus, these findings provide the first detailed description of lncRNA expression profiles related to t(12;21) translocation in pediatric B-ALL. Such lncRNAs profiles might play important roles in driving normal cells to leukemic cells. These lncRNAs may provide novel molecular biomarkers and offer new basis for combating pediatric B-ALL.
2019-12-10 | GSE128254 | GEO
Project description:Downregulations of TCAM1P-004 and RP11-598D14.1 were frequently observed in HCC tumors as compared to adjacent non-tumor tissues. To further study the molecular functions of TCAM1P-004 and RP11-598D14.1, we attempted to identify the gene targets regulated by either lncRNAs. Knockdown of TCAM1P-004 or RP11-598D14.1 were achieved by transduction of lentivirus carrying respective shRNAs in non-tumor hepatocyte MIHA cells. Diffferentially expressed genes after knockdown of the lncRNAs were compared to cells tranduced with lentivirus carrying scramble shRNAs.
2018-10-24 | E-MTAB-7280 | biostudies-arrayexpress