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9 protocols using human genome u133a plus 2.0 array

1

RNA Extraction and Microarray Analysis

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Example 3

The total cellular RNA (tcRNA) was extracted with TRIzol LS reagent from the CLIP agarose beads and cleaned with RNeasy columns (QIAGEN). After the quality of the total RNA was verified by an Agilent 2100 Bioanalyzer, the samples were processed using the WT-Ovation Pico System (Affymetrix), which requires only 500 pg of total RNA and a single round of amplification for samples with even stricter concentration restraints. This system incorporates oligo(dT) and random primers for amplification at the 3′ end and throughout the whole transcriptome. Affymetrix human genome U133A Plus 2.0 arrays were used, which contain 47,000 transcripts for annotated genes and expressed sequence.

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Affymetrix GeneChip Gene Expression Analysis

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Each good-quality sample was hybridized to the Affymetrix HG-U133 plus 2.0 GeneChip (Affymetrix, Santa Clara, CA). This gene chip analyzes the expression level of 38,500 well-characterized human genes. First, 10 μg of the total RNA was reverse-transcribed with the SuperScript Choice System (Invitrogen) with oligo dT primers containing a T7 RNA polymerase promoter site. Then, cDNA was in vitro transcribed and labeled with biotin using the IVT labeling kit (Affymetrix) followed by the fragmentation of the biotinylated cRNA. Next, the quality of this cRNA was assessed with the Agilent 2100 Bioanalyzer. The fragmented cRNA was hybridized overnight to Affymetrix Human Genome U133APlus 2.0 Arrays and scanned following the guidelines. The chips were washed and stained using the GeneChip Fluidics Station 400 (Affymetrix) and then scanned with the GeneChip Scanner 3000 (Affymetrix). The ratio from signal intensity values of four time points was calculated. Pathways regulated at p < 0.05 were considered significant.
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3

Oral Squamous Cell Carcinoma Microarray Analysis

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The data were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) and were selected based on the following criteria to ensure the reliability of the data analyses: (1) availability of raw microarray data; (2) inclusion of both oral squamous cell carcinoma and normal control (either adjacent normal or oral mucosa from healthy individuals); and (3) more than 10 tumor samples. Consequently, there were 6 datasets [11 (link),12 (link),13 (link),14 (link),15 ,16 (link)] using Affymetrix microarray that met our requirements (S1 Table). A total of 481 samples (326 OSCC and 165 normal controls) were included in this analysis. To ensure abundant availability of information for subsequent analyses, GSE9844/GSE30784/GSE31056 were labeled as “group I” (which was from Affymetrix Human Genome U133A Plus 2.0 array) and the remaining datasets were labeled as “group II” (which consisted of the former version of Affymetrix such as Human Genome U133A, Human Genome U95Av2 and Human Genome U133A2.0) according to their microarray platform.
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4

Profiling Myeloma Bone Marrow Subpopulations

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The gene expression dataset GSE109651 was obtained from GEO database. The microarray data of GSE109651, based on the GPL570 platform ([HG-U133_Plus_2] Affymetrix Human Genome U133A Plus 2.0 Array) and normalized using the MAS5 algorithm of the Affymetrix expression console version1.1 software (Affymetrix), includes 7-paired LC/SP cells and MP CD138+ cells of myeloma bone marrow from 7 diagnosed MM patients isolated by fluorescence-activated cell sorting (FACS) using Hoechst 33342 and CD138 antibody. To perform survival analysis, GSE2658 dataset of 559 MM patients and TCGA MM RNA sequencing dataset (MMRF-CoMMpass) of 787 cases with MM including clinicopathological information were downloaded from GEO database and TCGA (https://tcga-data.nci.nih.gov/) databases, respectively. For the retrospective cohort, the patients' characteristics were estimated by Pearson test χ2 or Fisher's exact test, indicating no significant statistical difference.
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5

Integrative Analysis of NSCLC Transcriptomes

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The Gene Expression Omnibus database (GEO) is a public functional database for high- throughput screening of gene expression data, microarray data, and gene chips. In this study, we recovered genome expression datasets from GEO (Affymetrix Human Genome U133A Plus 2.0 Array, Affymetrix Human Genome U95A Array, and Affymetrix Human Genome U133 Plus 2.0 Array) [GSE1987, GSE17073, GSE 54495, GSE118370]. The GSE1987, GSE17073, GSE 54495, and GSE118370 datasets contain 28, two, 17, and six NSCLC tissue samples and 9, 10, 13, and six non-cancer tissue samples, respectively (Table 1). The software tools used in this study are listed in Supplementary Table 1.
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6

Transcriptome Profiling of Early-Stage NSCLC

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Transcriptome information from 425 patients with early-stage NSCLC was profiled using the Affymetrix Human Genome U133A Plus 2.0 Array (e-Table 1). Only data from patients with available survival time, clinical stage, and tumor tissue expression values were analyzed.
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7

Differential Gene Expression in ALS Subtypes

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In this study we analyzed 1 independent microarray dataset from ALS patients. Processed gene expression data were utilized with accession number GSE106382 [23 (link)] (Affymetrix Human Genome U133A Plus 2.0 Array) from NCBI’s Gene Expression Omnibus (GEO) database [24 (link)], which studied the molecular mechanisms of the fALS/sALS, and/or drug-treated ALS models based on their expression profiles. The GSE106382 dataset containing 24 samples from fALS patients with FUS, SOD1 or TDP43 mutations, and sALS versus healthy controls, was obtained from iPSC-derived MNs. From this large dataset, we analyzed a subset comprising 4 datasets each for FUS- and SOD1-ALS subtype (GSM2836938, GSM2836939, GSM2836942 and GSM2836943) compared to 4 healthy controls (GSM2836934, GSM2836935, GSM2836936, GSM2836937) that met the inclusion requirements respectively. For gene expression profiling assays, motor neuron populations in neuronal cell culture at approximately 40 days in vitro (DIV) were analyzed in both datasets. We processed and analyzed all the datasets and identified DEGs with p-values < 0.05 and log2 absolute values for fold control FC ≥ 1.5 (see below method).
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8

miR-449a Regulation in HepG2.2.15 Cells

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Total RNA was isolated from HepG2.2.15 cells transfected with miR-449a and miR-con and subjected to microarray analysis using Affymetrix Human Genome U133A Plus 2.0 Array according to the manufacturer’s instructions. Differentially expressed genes were identified using Student’ t test on log-transformed data, and the results are represented as a heatmap using Spotfire (TIBCO Software Inc., Somerville, MA). These genes were further subjected to Gene Set Enrichment Analysis (GSEA) to identify the biological patterns of the genes. The significance threshold for the permutation test was set at P < 0.05.
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9

miR-210 Target Gene Identification

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AGS or MKN45 cells were transfected with 50 nM of pre-miRNA-negative control #1 (miR-Nega) (Life technologies, Ambion) or pre-miRNA miR-210 for 36 h using Lipofectamine RNAiMAX (Invitrogen). Total RNA was purified using an RNeasy Kit (Qiagen) according to the manufacturer’s instructions. Gene expression profiling was performed using the Affymetrix Human Genome U133A Plus 2.0 Array (Affymetrix), to analyse over 47,000 transcripts, including ~21,000 well-characterized human genes, according to the manufacturer’s instructions. The data were normalized and analysed by GeneSpring GX 7.3 (Agilent Technologies). Target genes containing miR-210 seed sequences were identified by Human TargetScan 6.2 ( http://www.targetscan.org/). Genes with expression levels lower than 40% of the miR-Nega-transfected control cells, after miR-210 overexpression, and containing miR-210 target sites in their 3'UTRs, were considered to be candidates for miR-210 targeting.
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