LncRNA in pediatric AML vs normal bone marrow mononuclear cells
ABSTRACT: 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 manufacturer’s 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 3’ 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 188.8.131.52) 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 (“All Targets Value”) 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:Long noncoding RNAs (lncRNAs) play a key role in regulating immunological functions. Their impact on the chronic inflammatory disease multiple sclerosis (MS), however, remains unknown. We investigated the expression of lncRNAs in peripheral blood mononuclear cells (PBMCs) of patients with MS and try to explain their possible role in the process of MS. we recruited 26 MS patients according to the revised McDonald Criteria. Then we chosen 6 patients for microarray analysis randomly. Microarray assays identified outstanding differences in lncRNA expression, which were verified through real-time PCR. LncRNA functions were annotated for target genes using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, and regulatory relationships between lncRNAs and target genes were analyzed using the “cis” and “trans” model.
Project description:Long noncoding RNAs (lncRNAs) are transcripts longer than 200 nucleotides located within the intergenic stretches or overlapping antisense transcripts of protein coding genes. LncRNAs are involved in numerous biological roles including imprinting, epigenetic regulation, apoptosis and cell-cycle. To determine whether lncRNAs are associated with clinical features and recurrent mutations in older patients (aged ≥60 years) with cytogenetically normal (CN) acute myeloid leukemia (AML), we evaluated lncRNA expression in 148 untreated older CN-AML cases using a custom microarray platform. We analyzed 148 older cytogenetically normal(CN)-AML patients samples using a custom microarray platform and describe the expression of lncRNAs among the AML samples.
Project description:The lncRNA expression profiles in three pairs of hTERT-positive gastric cancer tissue sand hTERT-negative para-cancerous tissues. The para-cancerous tissue is at least 5cm away from the cancer tissue. The expression of hTERT of identified by immunohistochemistry before RNA extraction for lncRNA assay. LncRNAs/mRNAs in 3 gastric cancer tissue and 3 paired para-cancerous tissue (Control) by microarray using Arraystar Human LncRNA Microarray v2.0
Project description:Long non-coding RNAs (lncRNAs) have emerged recently as key regulatory molecules with diverse roles at almost every level of the regulation of gene expression. The roles of these RNAs in the pathogenesis of cystic fibrosis (CF); a lethal multisystem, autosomal recessive disorder have yet to be explored. Our aim was to examine the expression profile of lncRNA, in the airway epithelium of people with CF. We examined the expression of 30,586 lncRNAs by microarray (Human LncRNA Array v3.0, Arraystar, Inc), in vivo in bronchial cells isolated from endobronchial brushings obtained from CF and non-CF individuals. In total, we identified 1,063 lncRNAs with differential expression between CF and non-CF individuals (fold change≥3, p≤0.001). The microarray also contained probes for ~26,109 protein coding transcripts, of which 720 were differentially expressed between CF and non-CF brush samples (fold change≥3, p≤0.001). Confirmation of a selection of differentially expressed coding mRNA and lncRNA transcripts such as TLR8 and XIST was achieved using qRT-PCR. Gene ontology bioinformatics analysis, highlighted that many processes over-represented in the CF bronchial epithelium are related to inflammation. These data show a significantly altered lncRNA and mRNA expression profile in CF bronchial cells in vivo. Dysregulation of some of these lncRNAs may play important roles in the chronic infection and inflammation that exists in the lungs of people with CF. RNA was extracted from bronchial epithelial cells obtained from bronchial brushings at bronchoscopy. Three individual biological replicates from each group (Non-CF and CF) were profiled by microarray.
Project description:Non-alcoholic fatty liver disease (NAFLD) is a common liver disorder and affects approximately one third of the general population.Recent studies have shown that long non-coding (lncRNA) plays critical roles in a myriad of biological processes and human diseases,Since the roles of lncRNA in NAFLD remain unknown,they were investigated in the study.Our findings indicate that the expression profiles of lncRNAs has changed in NAFLD as compared with normal liver, and may provide novel insight into the molecular mechanism underlying the disease and potential novel diagnostic or therapeutic targets for NAFLD. Microarray expression profiling of mRNAs and lncRNAs were conducted using RNA extracted from five NAFLD liver tissues and five normal liver samples.
Project description:Many protein-coding oncofetal genes are highly expressed in murine and human fetal liver and silenced in adult liver. The protein products of these hepatic oncofetal genes have been used as clinical markers for the recurrence of hepatocellular carcinoma (HCC) and as therapeutic targets for HCC. Herein, we examined the expression profiles of long non-coding RNAs (lncRNAs) and mRNAs found in fetal and adult liver in mice.LncRNA-mPvt1 is an oncofetal RNA that was found to promote cell proliferation, cell cycling and the expression of stem cell-like properties of murine cells. Human lncRNA-hPVT1 promotes cell proliferation, cell cycling and the acquisition of stem cell-like properties in HCC cells by stabilizing NOP2 protein. Regulation of the lncRNA-hPVT1/NOP2 pathway may have beneficial effects in the treatment of HCC. We collected mouse fetal livers (E12.5, E14.5, E17.5 days), neonatal murine livers and adult murine livers (8 weeks). The total RNAs recovered from these developmental livers and were used to acquire different expression profiles of mRNAs and lncRNAs.
Project description:LncRNA and mRNA microarrays were performed to identify differentially expressed lncRNAs and mRNAs in fibroblast-like synoviocytes from rheumatoid arthritis patients compared with fibroblast-like synoviocytes from trauma patients. Fibroblast-like synoviocytes were isolated from synovial tissues. LncRNA and mRNA microarrays were performed using fibroblast-like synoviocytes at passage 3.
Project description:LncRNAs are key regulatory molecules involved in a variety of biological process and human diseases. However, the pathological effects of lncRNAs on primary varicose great saphenous veins (GSVs) remain unclear. In this study, we aimed at identifying aberrantly expressed lncRNAs involved in the prevalence of GSV varicosities and exploring their potential regulating effects. 6 paired tissues of the varicose great saphenous vein patient were used to compare the expression differences between varicose veins (VVs) and adjacent normal segments of saphenous veins (NVs) in the study. The lncRNA and mRNA expression profile of 6 paired vein tissues were studied using the microarry.
Project description:In order to assess the alteration in lncRNA expression in rat lung carcinogenesis induced by NNK, we determined the lncRNA expression profiles in 3 rat lung tumor samples and matched normal lung tissues and 2 blood samples from the control and NNK treatment group in the 95th week using Arraystar Rat lncRNA Microarray. We induced lung cancer using 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) in a rat model and determined the lncRNA expression profiles in lung cancer tissues and rat blood samples.
Project description:The human LncRNA microarray analysis of the 6 plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease Agilent Feature Extraction software (version 184.108.40.206) was used to analyze acquired array images. Quantile normalization was performed using Expander6 and subsequent data processing was performed using the GeneSpring GX v11.5.1 software package (Agilent Technologies). After low intensity filtering, LncRNAs and mRNAs that at least 2 out of 12 samples have flags in Present or Marginal (“All Targets Value”) were chosen for quantile normalization and further data analysis. Differentially expressed LncRNAs and mRNAs with statistical significance 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 expression pattern among samples.