Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genome-wide analysis of long noncoding RNA expression profile in non-alcoholic fatty liver disease

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: sun chuanzheng

PROVIDER: E-GEOD-72756 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

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-ONLYâ¢ 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.

Dataset Information

Genome-wide analysis of long noncoding RNA expression profile in non-alcoholic fatty liver disease

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets