Project description:Tripterygium glycosides (TG) was reported to have effect of ameliorating Alzheimer's disease (AD). However, the mechanism is not clear. We aimed to investigate the lncRNAs and circRNAs expression profiles of AD treated with TG by using microarray. LncRNAs, mRNA and circRNA in 3 AD mice and 3 AD+TG mice hippocampal were detected by microarray. The most differentially expressed lncRNAs, mRNA and circRNA in AD+TG group were screened. The differentially expressed lncRNAs and circRNAs were analyzed for GO enrichment and KEGG pathway. Co-expression analysis of lncRNAs and mRNA was performed by calculating correlation coefficients. Protein-protein interaction (PPI) network analysis was performed on mRNAs using STRING. LncRNA-target-TFs network were analyzed by Network software. CircRNA-mirNA network were conducted by Cytoscape software. A total of differentially expressed 661 lncRNAs, 64 circRNAs and 503 mRNAs were detected in AD mice treated with TG. The Pou4f1, Egr2, Mag, and Nr4a1 were the hub genes in the PPI network. The KEGG results showed the mRNAs that co-expressed with lncRNAs were enriched in TNF, PI3K-Akt, and Wnt signaling pathway. lncRNA-target-TFs network analysis indicated the TFs including Cebpa, Zic2, and Rxra were the most likely to regulate the detected lncRNAs. The circRNA-miRNA interaction network indicated 275 miRNAs may bind to the 64 circRNAs. In conclusion, the findings supplied a novel perspective for AD pathogenesis. And the detected lncRNAs, mRNAs, and circRNAs might be novel therapeutics targets for AD.
Project description:Long non-coding RNAs (lncRNAs) reportedly contribute to disease pathogenesis and drug treatment effects. Both emodin and dexamethasone (DEX) have been used for the treatment of severe acute pancreatitis-associated acute lung injury (SAP-ALI). However, lncRNA regulation networks related to SAP-ALI pathogenesis and drug treatment are unreported. In this study, lncRNAs and mRNAs in the lung tissue of SAP-ALI and control rats, with or without drug treatment (emodin or DEX), were assessed by RNA sequencing. Results showed that both emodin and DEX were therapeutic for SAP-ALI and that mRNA and lncRNA levels differed between untreated and treated SAP-ALI rats. Gene expression profile relationships for emodin treated and control rats were higher than DEX treated and untreated animals. By comparison of control and SAP-ALI animals, more upregulated than downregulated mRNAs and lncRNAs were observed with emodin treatment. For DEX treatment, more downregulated than upregulated mRNAs and lncRNAs were observed. Functional analysis demonstrated both upregulated mRNA and co-expressed genes with upregulated lncRNAs were enriched in inflammatory and immune response pathways. Further, emodin associated lncRNAs and mRNAs co-expressed modules were different from those associated with DEX. Quantitative polymerase chain reaction demonstrates that selected lncRNA and mRNA co-expressed modules were different in the lung tissue of emodin and DEX treated rats. Also, emodin had different effects compared to DEX on the co-expression network of lncRNAs Rn60_7_1164.1 and AABR07062477.2 for the blue lncRNA module and Nrp1 for the green mRNA module. In conclusion, this study provides evidence that emodin may be a suitable alternative or complementary medicine for treatment of SAP-ALI.
Project description:To determine whether lncRNAs are involved in acute myeloid leukemia (AML), we analyzed the expression profile of lncRNAs and mRNAs in AML.
Project description:The primary study aim was to identify long non-coding RNA (lncRNA) abnormalities associated with ultra-high-risk (UHR) for psychosis based on a weighted gene co-expression network analysis.UHR patients were screened by the structured interview for prodromal syndromes (SIPS). We performed a WGCNA analysis on lncRNA and mRNA microarray profiles generated from the peripheral blood samples in fourteen treatment-seeking patients with UHR who never received psychiatric medication and eighteen demographically matched typically developing controls. Gene Ontology (GO) analysis and canonical correlation analysis were then applied to reveal functions and correlation between lncRNAs and mRNAs.The lncRNAs were organized into co-expressed modules by WGCNA, two modules of which were strongly associated with UHR. The mRNA networks were constructed and two disease-associated mRNA modules were identified. A functional enrichment analysis showed that mRNAs were highly enriched for immune regulation and inflammation. Moreover, a significant correlation between lncRNAs and mRNAs were verified by a canonical correlation analysis.We identified novel lncRNA modules related to UHR. These results contribute to our understanding of the molecular basis of UHR from the perspective of systems biology and provide a theoretical basis for early intervention in the assumed development of schizophrenia.
Project description:Acute myeloid leukemia (AML) is the most common form of acute leukemia in adults and the second most common form of leukemia in children. Multiple lncRNAs participate in normal and may be implicated in malignant hematopoiesis associated with blood cell cancers, such as leukemia. Currently, the expression profile of lncRNAs in pediatric AML is unclear. In this study, we evaluated the lncRNA expression profile in the tissue of three pediatric AML patients with lncRNA microarray techniques. In order to gain insight into the function of targets of lncRNAs, GO term and KEGG pathway annotation were applied to the target gene pool. qPCR was performed to evaluate the expression patterns of dys-regulated lncRNAs. Bone marrow specimens were obtained at the time of diagnosis during routine clinical assessment of 3 pediatric patients with AML, who presented at the Department of Hematology and Oncology, Children's Hospital of Soochow University between 2000 and 2011. Additionally, bone marrow samples from 3 healthy donors were analyzed as controls. Human LncRNA Array analysis was performed by KangChen Bio-tech, Shanghai P.R. China. Total RNA from each sample was quantified by the NanoDrop ND-1000 and RNA integrity was assessed by standard denaturing agarose gel electrophoresis. For microarray analysis, Agilent Array platform was employed. The sample preparation and microarray hybridization were performed based on the manufacturerâs standard protocols with minor modifications. Briefly, mRNA was purified from total RNA after removal of rRNA (mRNA-ONLY⢠Eukaryotic mRNA Isolation Kit, Epicentre). Then, each sample was amplified and transcribed into fluorescent cRNA along the entire length of the transcripts without 3â bias utilizing a random priming method. The labeled cRNAs were hybridized onto the Human LncRNA Array v2.0 (8 x 60K, Arraystar). After having washed the slides, the arrays were scanned by the Agilent Scanner G2505C. Agilent Feature Extraction software (version 11.0.1.1) was used to analyze acquired array images. Quantile normalization and subsequent data processing were performed using the GeneSpring GX v12.0 software package (Agilent Technologies). After quantile normalization of the raw data, LncRNAs and mRNAs that at least 4 out of 6 samples have flags in Present or Marginal (âAll Targets Valueâ) were chosen for further data analysis. Differentially expressed LncRNAs and mRNAs with statistical significance between the two groups were identified through Volcano Plot filtering. Pathway analysis and GO analysis were applied to determine the roles of these differentially expressed mRNAs played in these biological pathways or GO terms. Finally, Hierarchical Clustering was performed to show the distinguishable LncRNAs and mRNAs expression pattern among samples.
Project description:To further explore the clinical significance of lncRNAs in aldosterone producing adenoma (APA), we have employed large-scale biological database based transcriptome sequencing and microarray techniques as a discovery platform to identify expression changes of lncRNAs between APA (sample3, 4, 5) and normal adrenal (NA, sample A, B, L) tissue. By microarray analysis, we selected differentially expressed LncRNAs and mRNAs, and we further constructed coding-non-coding gene co-expression networks (CNC network) based on the correlation analysis between lncRNAs and target mRNAs. These networks will subsequently help to predict lncRNAs target genes, and will provide important insights into the role of lncRNAs in APA pathogenesis.
Project description:To identify genes and related pathways that are regulated by radiotherapy in acute lymphoblastic leukemia (ALL) patients lymphocytes, we have employed whole genome microarray expression profiling as a discovery platform to identify genes associated with total body irradiation (TBI) therapy. Purified peripheral lymphocytes were sampled 24 h after each 4.5 Gray TBI treatment (total 9 Gray) from 4 adult patients receiving hematopoietic stem cell transplantation, and the results showed that 478 genes were differentially expressed with increasing TBI dose, and serial test of cluster (STC) analysis suggested three major patterns in these genes. Modulated genes were constructed to co-expression network and identified significant GO as follow: ubiquitin-dependent protein catabolic process, transcription, proteolysis and apoptosis et al. The reliability of the data obtained from the microarray was verified by performing quantitative real-time PCR on 12 representative genes. This study provides candidate genes associated with TBI sensitivity for further research.
Project description:Sepsis is associated with increased morbidity and mortality. Long non-coding RNAs (lncRNAs) have been associated with human diseases. Here, we used a microarray to analyze lncRNAs and mRNAs expression and functional network of lung injury in lipopolysaccharide (LPS)-induced septic shock rats.
Project description:microRNAs, important regulators of cell proliferation and apoptosis, have been shown to be involved in the pathogenesis of acute myeloid leukemia in adulthood AML. However, comprehensive studies in AML of children and adolescents are missing so far. We investigated the miRNA expression profiles of different AML subtypes from 102 pediatric patients in comparison to CD34+ cells from healthy donors and adult AML patients, in order to identify differentially expressed miRNAs. Pediatric samples with core factor binding acute myeloid leukemia and promyelocytic leukemia could be distinguished from each other and MLL rearranged AML subtypes by 9 and 18 miRNAs, respectively. miR-126, -146a, -181a/b, -100, and miR-125b were identified as highest differentially expressed with marked difference of expression between pediatric and adulthood samples of the same cytogenetic subgroup. We next isolated the miRNA targeting complex from t(8;21) and t(15;17) cell line models and comprehensively identified bound miRNAs and targeted mRNAs by a newly devised immunoprecipitation assay followed by rapid microarray detection. Our findings indicate separate binding preferences for the four human Argonaute proteins. Subsequent bioinformatic analysis revealed a concerted action of different Ago proteins in the regulation of AML-relevant pathways, providing an experimental based database of miRNA-mRNA target interaction in Argonaute proteins. Ago-associated microRNAs: Co-immunoprecipitation in the acute myeloid leukemia cell line models, KASUMI-1 and NB4, of the four human Argonaute complexes using monoclonal antibodies and stringent washing conditions. We performed photo-activated UV cross-linking using 4M-bM-^@M-^Y-thioruidine before cell lysis. Unspecific binding to the bead matrix and to the Fc part of the monoclonal rat antibody were recorded and corrected by empty bead controls and an antibody isotype control. Argonaute-associated miRNAs/mRNAs and unspecific bound miRNAs/mRNAs of the isotype control were identified by microarray hybridization. These experiments were performed in triplicates. Ago-associated mRNAs: Co-immunoprecipitation in the acute myeloid leukemia cell line models, KASUMI-1 and NB4, of the four human Argonaute complexes using monoclonal antibodies and stringent washing conditions. We performed photo-activated UV cross-linking using 4M-bM-^@M-^Y-thioruidine before cell lysis. Unspecific binding to the bead matrix and to the Fc part of the monoclonal rat antibody were recorded and corrected by empty bead controls and an antibody isotype control. Argonaute-associated miRNAs/mRNAs and unspecific bound miRNAs/mRNAs of the isotype control were identified by microarray hybridization. These experiments were performed in triplicates. AML-patient microRNAs: RNA extraction using the TRIzol protocol (Invitrogen), labeling of RNA with Cy3- (universal reference) and Cy5-Dyes (samples) using a truncated and mutated RNA ligase, hybridization of miRNAs over night at 42M-BM-0C using miRXplore microarrays and the a-Hyb Hybridization Station (MACS molecular Miltenyi Biotec)
Project description:Studies have shown that long noncoding RNAs (lncRNAs) can be widely involved in various physiological and pathological processes. In recent years, there have been many studies on GLP-1 receptor agonists (GLP-1RA) regulating islet β cells function and mass of type 2 diabetes (T2DM) patients. However, the function of lncRNAs in this process have not been fully elucidated. In this study, lncRNA microarray was used to identify the differently expressed (DE) lncRNAs and mRNAs in β cells exposed to Geniposide, which is a GLP-1RA. 308 lncRNAs and 128 mRNAs were detected with a set filter fold change≥1.5 and P-value<0.05. Gene Ontology and KEGG pathway analysis were performed to assess the underlying functions of DE mRNAs. Co-expression network of DE lncRNAs and mRNAs was constructed based on Pearson coefficient of expression level. And hub mRNAs were selected through String database and Cytoscape plugin Cytohubba. Additionally, a ceRNA network was constructed among the co-expressed lncRNAs and hub mRNAs. This study reveals key mRNAs involved in the regulation of GLP-1RA on β cells function and mass. More importantly, screening out lncRNAs that play an importance regulatory role in this process. This original research could provide valuable information for the further investigation between lncRNAs and GLP-AR in the protection of β cells.