The largest database of trusted experimental protocols

Genechip human gene 2.0 st

Manufactured by Thermo Fisher Scientific
Sourced in United States

The GeneChip Human Gene 2.0 ST is a microarray system designed for gene expression analysis. It provides comprehensive coverage of the human genome, with probes targeting over 30,000 well-annotated genes. The system enables researchers to measure the expression levels of thousands of genes simultaneously.

Automatically generated - may contain errors

13 protocols using genechip human gene 2.0 st

1

Sputum-derived RNA Expression Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA was extracted from induced sputum samples by using the RNeasy Mini Kit (Qiagen, Hilden, Germany). Gene expression levels were measured using the GeneChip Human Gene 2.0 ST (Affymetrix, Santa Clara, CA, USA). We removed probes with bad chromosome annotation and probes in X or Y chromosome. We then did variance stabilizing transformation and quantile normalization, respectively, to reduce the effects of technical noises and to make the distribution of expression level for each array closer to a normal distribution.
+ Open protocol
+ Expand
2

Transcriptome Analysis of Melanoma Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA from melanoma cells transduced with either shp300 or scrambled lentiviruses was purified using the Qiagen RNAeasy Plus Kit. Samples were submitted to Boston University Microarray and Sequencing Resource Core Facility for analysis on the Affymetrix GeneChip Human Gene 2.0 ST. The initial data processing and normalizations were performed by the core facility. The gene ontology analysis was performed with Ingenuity Pathway Analysis (Qiagen, Redwood City, CA).
+ Open protocol
+ Expand
3

Affymetrix Microarray Gene Expression Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Affymetrix hybridizations were performed according to the manufacturer’s instructions. Affymetrix GeneChip Human Gene 2.0 ST CEL files were normalized to produce gene-level expression values using the implementation of the Robust Multiarray Average (RMA) in the Affymetrix package (version 1.36.1) included within in the Bioconductor software suite and an Entrez gene-specific probe set mapping from the Molecular and Behavioral Neuroscience Institute (Brainarray) at the University of Michigan. Array quality was assessed by computing Relative Log Expression (RLE) and Normalized Unscaled Standard Error (NUSE) using the AFFYPLM Bioconductor package (version 1.34.0). Differential gene expression was assessed using the moderated (empirical Bayesian) t-test implemented in the Limma package (i.e., creating simple linear models with lmFit, followed by empirical Bayesian adjustment with eBayes). Correction for multiple hypothesis testing was accomplished using the Benjamini–Hochberg false discovery rate (FDR). All microarray analyses were performed using the R environment for statistical computing.
+ Open protocol
+ Expand
4

RNA Extraction and Gene Expression Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA was extracted from sputum cells using the RNeasy mini kit (Qiagen, Hilden, Germany). RNA quality was measured with the Agilent 2100 bioanalyzer (Biogen, Weston, MA, USA), which performs electrophoretic separations according to molecular weight. Each sample was assigned an RNA integrity number (RIN) based on the extent of RNA degradation. Only samples with RIN values of greater than 8 were placed in aliquots and stored at − 80 °C until microarray, as RIN values of greater than 5 are generally considered adequate for gene expression profiling [14 (link)]. Gene expression levels were measured using the GeneChip Human Gene 2.0 ST (Affymetrix, Santa Clara, CA, USA). Probes with poor chromosome annotation and probes in the X or Y chromosome were removed. Then variance-stabilizing transformation and quantile normalization were conducted to reduce the effects of technical noise and to make the distribution of the expression level for each array closer to a normal distribution, respectively.
+ Open protocol
+ Expand
5

Comparative Analysis of Keratin Expression in Skin Wound Transcriptomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
Two previously published transcriptomics datasets comparing wounded to intact skin were reanalyzed for keratin expression using custom R scripts. Iglesias-Bartolome and colleagues collected serial punch biopsy specimens from the arm and buccal mucosa, extracted RNA from the samples, and performed RNA sequencing45 . Unwounded skin was represented by the initial samples, and wounded skin was represented by follow-up samples taken from the same locations. We downloaded the expression data (Gene Expression Omnibus GSE97615) for the arm skin samples and plotted keratin transcript levels (log-transformed RPKM) as a heatmap. Statistical analysis was not performed. Ramirez and colleagues collected tissue samples from diabetic foot ulcers and non-ulcerated foot skin, extracted RNA from the samples, and profiled transcripts using Affymetrix GeneChip Human Gene 2.0 ST microarrays46 ,47 . We downloaded the expression data (Gene Expression Omnibus GSE80178) and used the “oligo” R package to import, annotate, and preprocess the microarray data, including background-correction and normalization using the RMA algorithm48 . Keratin expression intensity values for wound and control samples were plotted as a heatmap, and statistical analysis was not performed.
+ Open protocol
+ Expand
6

Whole-Genome Expression Profiling of miR-31-5p Transfected Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
Whole-genome expression profiling was performed in paired samples of three studied cell lines (cell line transfected with miR-31-5p mimic and cell lines transfected with control mimic). Total RNA was purified from transfected cells by use of mirVana miRNA Isolation Kit (Ambion, Austin, Texas, USA). Total RNA purity was determined using Nanodrop ND-1000 (Thermo Scientific, USA), (A260:A280 > 2.0; A260:A230 > 2). RNA integrity was evaluated using Bioanalyzer 2100 (Agilent, USA). Two hundred and fifty ng of total RNA were used for GeneChip® Whole Transcript (WT) Expression Arrays (Affymetrix) according to manufacturer's protocol. cDNA was hybridized to GeneChip human Gene 2.0 ST (Affymetrix) at 45°C for 16 hours. Subsequently, GeneChips were washed and scanned (GeneChip® Scanner 3000 7G, Affymetrix). The whole-genome expression data, Affymetrix raw data (.cel files), were normalized using the robust multichip average (RMA) algorithm from ‘oligo’ Bioconductor package in R version 3.0.1.
+ Open protocol
+ Expand
7

Transcriptome Analysis of CTSF Knockdown in SGC7901 Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA from SGC7901-Lenti-shRNA against CTSF cell lines and negative control SGC7901-Lenti-shRNA cell lines was isolated using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. RNA purity was determined using an ultraviolet and visible spectrophotometer (UNIC, Shanghai, P.R. China). Samples with RNA purity were used for GeneChip hybridization and scanning. Labeling, hybridization, and staining of these samples were performed according to the Eukaryotic Target Preparation protocol in the Affymetrix Technical Manual (701021 rev. 4; Affymetrix, Santa Clara, CA, USA). In summary, 1 μg of purified total RNA was used in the synthesis of cDNA, and the cDNA was purified using the GeneChip Sample Cleanup Module (Affymetrix). The purified cDNA was amplified to produce biotin-labeled cRNA using the GeneChip 3′IVT Express Kit (T7; Enzo Life Sciences, Farmingdale, NY, USA). Labeled cRNA was fragmented and hybridized to GeneChip Human Gene 2.0 ST according to the manufacturer’s protocol (Affymetrix). The hybridized gene chips were washed and stained for antibody amplification. The gene chips were then scanned using the Gene array Scanner 3000 7G (Affymetrix).
+ Open protocol
+ Expand
8

Lenalidomide-Induced Transcriptomic Changes in Non-del5q/5q- AML

Check if the same lab product or an alternative is used in the 5 most similar protocols
Non-del5q/5q- AML primary samples (n = 3) and BM-CD34+ HSPCs (n = 2) were FACS purified (CD45+CD33+ purity >98%) and cultured with 10 µM lenalidomide for 48h before global gene expression profiling (GEP) as described.29 Total RNA was then extracted using a Maxwell® RSC simplyRNA Cells Kit in a Maxwell® RSC Instrument (Promega) and its quality checked in the Agilent 2100 Bioanalyzer. Total RNA samples were labeled with Cy3 using the Quick-Amp Labeling Kit and hybridized with the Gene Expression Hybridization Kit to the GeneChip Human Gene 2.0 ST (Affymetrix) following Manufacturer’s instructions. Hierarchical clustering of genes was performed with the one minus correlation metric and the unweighted average distance. Only genes showing >1.5-fold change expression and p-value<0.05 were considered differentially expressed and were subjected to gene ontology (GO) term analysis using Gorilla30,31 publicly available at http://cbl-gorilla.cs.technion.ac.il. Microarray data were deposited in the public Gene Expression Omnibus database, accession number GSE106748.
+ Open protocol
+ Expand
9

Dexamethasone-Induced Transcriptional Profiling

Check if the same lab product or an alternative is used in the 5 most similar protocols
As previously described44 (link) IBCs derived from childhood asthmatics from the CAMP trial were cultured in RPMI 1640 medium (Sham-treated IBCs) and treated with dexamethasone (10−6 M) for 6 hours (Dex-treated IBCs). Dex-treated IBCs were used to measure in vitro perturbation of gene expressions by Dex. PBMCs from adult asthmatics were cultured in RPMI 1640 medium for 6 hours (Sham-treated PBMCs). Gene expression levels were measured using the Illumina HumanRef8 v2 BeadChip (Illumina, San Diego, CA, US) for childhood asthmatics and the Affymetrix GeneChip Human Gene 2.0 ST (Affymetrix, Santa Clara, CA, US) for adult asthmatics. We removed probes with bad chromosome annotation and probes in X or Y chromosome. We then did variance stabilizing transformation and quantile normalization respectively to reduce the effects of technical noises and to make the distribution of expression level for each array closer to normal distribution.
+ Open protocol
+ Expand
10

Gene Expression Analysis of PBMCs in Asthma

Check if the same lab product or an alternative is used in the 5 most similar protocols
Blood for gene expression analysis was drawn at a stable state, that is, no changes in anti-asthma medications and no acute exacerbations (short-term oral prednisone burst, unexpected clinic visit, and emergency room visit or hospitalization due to asthma symptom aggravation) within 4 weeks prior to blood sampling. PBMCs were isolated and genome-wide gene expression levels were measured using the Affymetrix GeneChip Human Gene 2.0 ST (Affymetrix, Santa Clara, CA, USA). We removed probes with bad chromosome annotations and probes in the X or Y chromosome. We then performed variance-stabilizing transformation and quantile-normalization to reduce technical noises and to make the distribution of expression level for each array closer to a normal distribution.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!