Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Effect of FTO (fat mass and obesity-associated) overexpression on gene expression profiling in beta cells

ABSTRACT: We have completed the mouse expression microarray analysis of the 2 samples. Total RNA from each sample was quantified using the NanoDrop ND-1000 and the RNA integrity was assessed using 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. Briefly, total RNA from each sample was amplified and transcribed into fluorescent cRNA with using the manufacturer’s Agilent’s Quick Amp Labeling protocol (version 5.7, Agilent Technologies). The labeled cRNAs were hybridized onto the Whole Mouse Genome Oligo Microarray (4x44K, Agilent Technologies). 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 v11.5 software package (Agilent Technologies). After quantile normalization of the raw data, genes that at least 1 out of 2 samples have flags in Detected (“All Targets Value”) were chosen for further data analysis. Differentially expressed genes between two samples were identified through fold change filtering. Pathway analysis and GO Analysis were applied to determine the roles of these differentially expressed genes played in these biological pathways or GO terms. Finally, Hierarchical Clustering was performed to show the distinguishable gene expression profiling between samples.

ORGANISM(S): Mus musculus

PROVIDER: GSE64668 | GEO | 2015/01/06

SECONDARY ACCESSION(S): PRJNA271600

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Whole Human Genome Oligo Microarray

Project description:Human expression microarray analysis of the 11 samples that you submitted. Total RNA from each sample was quantified using the NanoDrop ND-1000 and the RNA integrity was assessed using standard denaturing agarose gel electrophoresis. For microarray analysis, Agilent Array platform was employed. The sample preparation and microarray hybridization were performed according to the manufacturer’s standard protocols. Briefly, total RNA from each sample was amplified and transcribed into fluorescent cRNA with using the manufacturer’s Agilent’s Quick Amp Labeling protocol (version 5.7, Agilent Technologies). The labeled cRNAs were hybridized onto the Whole Human Genome Oligo Microarray (4x44K, Agilent Technologies). 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 v11.5 software package (Agilent Technologies). After quantile normalization of the raw data, genes that at least 7 out of 11 samples have flags in Detected (“All Targets Value”) were chosen for further data analysis.

2017-03-02 | GSE95563 | GEO

Effect of FTO (fat mass and obesity-associated) overexpression on gene expression profiling in beta cells

Project description:We have completed the mouse expression microarray analysis of the 2 samples. Total RNA from each sample was quantified using the NanoDrop ND-1000 and the RNA integrity was assessed using standard denaturing agarose gel electrophoresis. For microarray analysis, Agilent Array platform was employed. The sample preparation and microarray hybridization were performed based on the manufacturerM-bM-^@M-^Ys standard protocols. Briefly, total RNA from each sample was amplified and transcribed into fluorescent cRNA with using the manufacturerM-bM-^@M-^Ys AgilentM-bM-^@M-^Ys Quick Amp Labeling protocol (version 5.7, Agilent Technologies). The labeled cRNAs were hybridized onto the Whole Mouse Genome Oligo Microarray (4x44K, Agilent Technologies). 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 v11.5 software package (Agilent Technologies). After quantile normalization of the raw data, genes that at least 1 out of 2 samples have flags in Detected (M-bM-^@M-^\All Targets ValueM-bM-^@M-^]) were chosen for further data analysis. Differentially expressed genes between two samples were identified through fold change filtering. Pathway analysis and GO Analysis were applied to determine the roles of these differentially expressed genes played in these biological pathways or GO terms. Finally, Hierarchical Clustering was performed to show the distinguishable gene expression profiling between samples. beta cell lines (MIN6) were transfected with FTO vector or empty vector. The gene expression profiling of the two samples were performed by expression microarray analysis

2015-01-06 | E-GEOD-64668 | biostudies-arrayexpress

NimbleGen Rat Gene Expression Microarrays for 2 samples (icariin/DMSO-treated BMSC)

Project description:Total RNA from each sample was quantified by the NanoDrop ND-1000 and RNA integrity was assessed by standard denaturing agarose gel electrophoresis. Total RNA of each sample was used for labeling and array hybridization as the following steps: 1) Reverse transcription with by Invitrogen Superscript ds-cDNA synthesis kit; 2) ds-cDNA labeling with NimbleGen one-color DNA labeling kit; 3) Array hybridization using the NimbleGen Hybridization System and followed by washing with the NimbleGen wash buffer kit; 4) Array scanning using the Axon GenePix 4000B microarray scanner (Molecular Devices Corporation). Scanned images (TIFF format) were then imported into NimbleScan software (version 2.5) for grid alignment and expression data analysis. Expression data were normalized through quantile normalization and the Robust Multichip Average (RMA) algorithm included in the NimbleScan software. The Probe level (*_norm_RMA.pair) files and Gene level (*_RMA.calls) files were generated after normalization. The 2 gene level files were imported into Agilent GeneSpring GX software (version 11.5.1). Genes that have values greater than or equal to lower cut-off: 100.0 in that at least 1 out of 2 samples (“All Targets Value”) were chosen for data analysis.

2022-07-20 | GSE208583 | GEO

Long ncRNA in HCC cells

Project description:Normal human hepatocytes and 3 different HCC cell lines have been analyzed for the global expression of long non coding RNA (lncRNA). Total RNA was extracted from each sample using RNeasy Kit (Qiagen) according to the manufacturer’s instructions. RNA quality was assessed by Nanodrop ND-1000 and Bioanalyser2100. DNA microarray The Human Long Non-coding RNA Array was manufactured by Roche NimbleGen. Each array represents all long transcripts, both protein coding mRNAs and lncRNAs (long non-coding RNAs) in the human genome. More than 22000 lncRNAs are collected from the authoritative data sources including NCBI RefSeq, UCSC, RNAdb, lncRNAs from literatures and UCRs. Fluorescent cDNA targets were prepared using NimbleGen One-Color DNA Labeling Kit. Microarray hybridization was performed at 42°C for 16-20 hours in NimbleGen Hybridization System. After being washed in an ozone-free environment, the slides were scanned using the Axon GenePix 4000B microarray scanner. Data Analysis Raw data were extracted as pair files by NimbleScan software (version 2.5). NimbleScan software’s implementation of RMA offers quantile normalization and background correction. The Probe level (*_norm_RMA.pair) files and Gene summary (*_RMA.calls) files were produced. The gene summary files were imported into Agilent GeneSpring Software (version 10.0) for further analysis. Differentially expressed genes and non-coding RNA were identified through Fold-change screening. Unsupervised hierarchical clustering, GO analysis and Pathway analysis was performed using the Agilent GeneSpring GX software (version 10.0).

2013-12-01 | GSE25859 | GEO

circRNA Microarray Service for 16 human samples

Project description:We have completed the Arraystar Human circRNA Array analysis of the 24 samples that you submitted. Total RNA from each sample was quantified using the NanoDrop ND-1000. The sample preparation and microarray hybridization were performed based on the Arraystar’s standard protocols. Briefly, total RNAs were digested with Rnase R (Epicentre, Inc.) to remove linear RNAs and enrich circular RNAs. Then, the enriched circular RNAs were amplified and transcribed into fluorescent cRNA utilizing a random priming method (Arraystar Super RNA Labeling Kit; Arraystar). The labeled cRNAs were hybridized onto the Arraystar Human circRNA Array (8x15K, 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 R software package. Differentially expressed circRNAs with statistical significance between two groups were identified through Volcano Plot filtering. Differentially expressed circRNAs between two samples were identified through Fold Change filtering. Hierarchical Clustering was performed to show the distinguishable circRNAs expression pattern among samples.

2023-05-08 | GSE150251 | GEO

MiRNA SIGNATURE FOR ORAL SQUAMOUS CELL CARCINOMA

Project description:The present study is aimed at profiling the miRNA expression pattern in oral squamous cell carcinoma (OSCC) and adjacent oral mucosa to develop a new miRNA signature for oral cancer. Agilent Human miRNA Microarray v2.0 (G4470B, Agilent Technologies) was used to identify miRNAs differentially expressed in OSCC. MicroRNA processing was carried out according to the manufacturer’s instructions. Hybridized microarrays were scanned with a DNA microarray scanner (Agilent G2565BA) and features were extracted using the Agilent Feature Extraction (AFE) image analysis tool (version A.9.5.3) with default protocols and settings. Data pre-processing and differential expression analysis were done in R Studio using the Bioconductor AgiMicroRna package.12 The Total Gene Signal provided by the AFE image analysis software was used for data analysis. Data were normalized between arrays using the quantile method. Microarray profiling identified a set of 105 miRNAs to be differentially expressed in OSCC, out of which a subset of 19 most dysregulated miRNAs were considered to formulate the miRNA signature for oral cancer.

2021-03-05 | GSE168227 | GEO

RNA chip expression profiling analysis of HGC-27 cells after oxymatrine intervention, Agilent Human ceRNA Microarray 2019 (4*180k, Design ID: 086188) chip

Project description:In this study, we intervened HGC-27 cells with oxidized sophoridine alkaloid (OMT) at a concentration of 2.64 mg/mL for a duration of 48 hours. Subsequently, we conducted comprehensive chip expression profiling analysis on these intervened HGC-27 cells as well as normal HGC-27 cells, encompassing mRNA, lncRNA, and circRNA. We employed the Agilent Human ceRNA Microarray 2019 (4*180k, Design ID: 086188) chip for the expression profiling. To ensure analysis reliability, we quantified the total RNA of samples initially and then assessed the integrity of RNA using Agilent Bioanalyzer 2100 (Agilent Technologies). Following RNA quality inspection, we followed a standardized procedure to label the samples and hybridize them with the chips, followed by elution. The labeling process involved reverse transcription of total RNA into double-stranded cDNA, followed by synthesis of cRNA labeled with Cyanine-3-CTP (Cy3). After hybridization of labeled cRNA with the chips, we used the Agilent Scanner G2505C (Agilent Technologies) for scanning to obtain raw images. In the data processing phase, we employed the Feature Extraction software (version 10.7.1.1, Agilent Technologies) to process the raw images and extract data. Subsequently, we performed quantile normalization on the raw data to ensure data consistency. Following normalization, we filtered the data, ensuring that at least 75% of probes from each group of samples were detected, and these retained probes were used for subsequent comparison and analysis. In essence, our study culminated in a comprehensive exploration of gene expression dynamics, regulatory RNA elements, and their potential roles in the context of HGC-27 cells under the influence of OMT intervention.

2023-12-29 | GSE242236 | GEO

An exosomal circRNA signature in the diagnosis and prognostification of cholangiocarcinoma: circRNA microarray analysis for 10 human bile samples

Project description:We have completed the Arraystar Human circRNA Array V2 analysis of 10 bile exosome samples (5 cholangiocarcinoma-induced biliary obstruction vs. 5 benign biliary obstruction). Total RNA from each sample was quantified using the NanoDrop ND-1000. The sample preparation and microarray hybridization were performed based on the Arraystar’s standard protocols. Briefly, total RNAs were digested with Rnase R (Epicentre, Inc.) to remove linear RNAs and enrich circular RNAs. Then, the enriched circular RNAs were amplified and transcribed into fluorescent cRNA utilizing a random priming method (Arraystar Super RNA Labeling Kit; Arraystar). The labeled cRNAs were hybridized onto the Arraystar Human circRNA Array V2 (8x15K, 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 R software limma package. Differentially expressed circRNAs with statistical significance between two groups were identified through Volcano Plot filtering. Differentially expressed circRNAs between two samples were identified through Fold Change filtering. Hierarchical Clustering was performed to show the distinguishable circRNAs expression pattern among samples.

2024-04-20 | GSE228477 | GEO

LncRNA expression profiling for 6 human plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease patients

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 11.0.1.1) 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.

2015-05-05 | E-GEOD-68506 | biostudies-arrayexpress

Gene expression profiles of oral normal fibroblasts (NFs) and oral carcinoma-associated fibroblasts (CAFs)

Project description:This study aims to identify genes differentially expressed in oral CAFs with respect to their normal counterparts, i.e. oral NFs. We collected oral normal mucosal tissues and oral squamous cell carcinoma (OSCC) tissues from 12 healthy people and 12 OSCC patients, respectively, at West China Hospital of Stomatology, Sichuang University, P. R. China. The tissues were isolated, cultured and purified using standard protocols to obtain oral NFs and CAFs. Agilent 4×44K Whole Genome Oligo Microarrays were used to measure the gene expression profiles of the samples. Sample preparation and hybrid reactions were performed according to the manufacture’s instructions. RNA samples from NFs and CAFs were pooled respectively before hybridization. The chips were scanned and visualized using the Agilent DNA microarray scanner. Probe set intensities were measured using Agilent Feature Extraction software (version 10.5.1.1). Raw data were normalized in the Agilent GeneSpring GX software (version 11.0) using the Agilent FE one-color scenario (mainly median normalization).

2012-01-26 | GSE35356 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data