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Genespring gx 13

Manufactured by Agilent Technologies
Sourced in United States, United Kingdom

GeneSpring GX 13.0 is a bioinformatics software application developed by Agilent Technologies. It is designed to provide data analysis capabilities for genomic data, including gene expression, sequence, and ChIP-seq data. The software offers tools for data visualization, statistical analysis, and pathway analysis.

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51 protocols using genespring gx 13

1

Affymetrix GeneChip® CHO Gene 2.0 ST Array Protocol

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Fragmented and labeled single-stranded DNA (ss-DNA) was prepared according to the standard Affymetrix protocol from 400 ng total RNA (GeneChip® WT PLUS Reagent Kit Manual, 2001, Affymetrix). Following fragmentation, 3.5 μg of ss-DNA was hybridized for 16 h at 45 °C and 60 rpm on GeneChip® CHO Gene 2.0 ST Array. GeneChips were washed and stained in Affymetrix Fluidics Station 450. GeneChips were scanned using Affymetrix GeneChip Scanner 3000 7G. The data were analyzed by Robust Multichip Analysis using Affymetrix default analysis settings and global scaling as the normalization method. The trimmed mean target intensity of each array was arbitrarily set to 100. The normalized and log-transformed intensity values were then analyzed using GeneSpring GX 13.1 (Agilent technologies, CA). Fold-change filters included the requirement that the upregulated genes should be present in ≥ 200% of controls and downregulated genes should be present in < 50% of controls. Hierarchical clustering data were clustered groups that behave similarly across experiments using GeneSpring GX 13.1 (Agilent technologies, CA).
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2

Quantile Normalization and Hierarchical Clustering Analysis

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The data were analyzed with the quantile normalization method. The normalized and log-transformed intensity values were then analyzed using GeneSpring GX 13.1.1 (Agilent Technologies, Santa Clara, CA, USA). This normalization method aims to make the distribution of intensities for each array in a set of arrays the same. The normalized and log-transformed intensity values were then analyzed using GeneSpring GX 13.1.1 (Agilent Technologies, Santa Clara, CA, USA). Fold change filters included the requirement that the genes presented in at least 150% of controls for upregulated genes and less than 66% of controls for downregulated genes. In the Cluster 3.0 program, using the Euclidean distance and average linkage algorithm gave a hierarchical clustering analysis.
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3

Differential Gene Expression Analysis

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Data of the samples that pass quality control parameters were after subjecting to percentile normalization using GeneSpring GX 13.0 software (Agilent Technologies, UK). Genes were considered as differentially expressed with p values < 0.001 and fold change values of > |1.5|. Statistical analysis was performed using Benjamini-Hochberg False Discovery Rate. Statistically significant gene changes in each NP group were analyzed in terms of their associated molecular/cellular functions and representation in canonical pathways using Ingenuity Pathway Analysis software (IPA, v.39480507, release date September 2017, Qiagen Bioinformatics, Redwood City, USA).
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4

Barley Gene Expression Microarray Analysis

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The synthesis, labeling, and hybridization of cDNA and cRNA were performed by the Genomics Core Facility, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. The microarray data were analyzed using GeneSpring GX 13.0 software (Agilent Technologies) as described earlier (Daszkowska-Golec et al., 2017 (link)). A gene was considered to be differentially expressed when the level of its expression differed between the analyzed conditions by at least two times (fold change (FC) ≥ 2; P ≤ 0.05 after FDR correction). The annotation of the Agilent Barley Gene Expression Microarray (Agilent Technologies) was performed against IBSC_v2 of barley genome deposited in Ensembl Plants (v. 45). Functional annotation of differentially regulated genes was carried out using Ensembl Plants tools and the IPK Barley BLAST Server as references (https://plants.ensembl.org/index.html, https://webblast.ipk-gatersleben.de/barley_ibsc/). Three biological replications were used for microarray expression analysis (each biological replicate represented leaf of one seedling).
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5

Transcriptomic Analysis of 3D Spheroids

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Total RNA was isolated from feeder cells or 3D spheroids on culture day 7 using an RNeasy Mini Kit (Qiagen, Valencia, CA) according to the manufacturer’s instructions. Total RNA was amplified and labeled with cyanine-3 (Cy-3) using a Low Input Quick Amp Labeling Kit (Agilent Technologies, Palo Alto, CA) according to the manufacturer’s protocol. Cy3-labeled cRNA was hybridized to Mouse Whole Genome Oligo DNA Microarray ver. 2.0 (Agilent Technologies) containing 44,397 features representing 39,429 biological probes using a Gene Expression Hybridization Kit (Agilent Technologies) at 65 °C for 17 h, and scanned with a SureScan Microarray Scanner (Agilent Technologies). Signals in the scanning image were converted into intensity values using Feature Extraction version 11.5.1.1 (Agilent Technologies). Expression raw data from all arrays were analyzed using GeneSpring GX 13.0 software (Agilent Technologies), and global normalization was performed. After the normalization, extremely low intensity probes were excluded, leaving 39,365 probes for analysis. Genes specifically expressed in the 3D spheroids were identified by applying a cutoff of ±1.5-fold and a paired t-test with p < 0.05.
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6

Transcriptome Analysis of European Sea Bass

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A custom high-density oligo-microarray (8 × 15 K) from the assembled nucleotide European sea bass sequences was designed and printed using the eArray web tool (Agilent). The array comprised 60-oligomer probes for 14,147 different European sea bass annotated sequences. Total RNA (150 ng) from individuals (n = 8 for each intestine segment: AI, MI, and PI) were labeled with cyanine 3-CTP (Low Input Quick Amp Labeling Kit, Agilent), and 600 ng of each labeled cRNA were hybridized to microarray slides that were analyzed with an Agilent G2565C Microarray Scanner according to the manufacturer's protocol. Data were extracted using the Agilent Feature Extraction Software 11.5.1.1. Data analysis of differentially expressed (DE) genes was carried out with the Genespring GX 13.0 software (Agilent). Functional pathway analysis of DE genes was performed with the Ingenuity Pathway Analysis (IPA) software (http://www.ingenuity.com). For each gene, the Uniprot accession of the annotation equivalent for one of the three higher vertebrates model species in IPA (human, rat, or mouse) was assigned.
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7

Genome-wide Expression Profiling of hiPSCs

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RNA was extracted from hiPSCs (409B2) and the original HFs (1388) with TRIzol and QIAGEN RNeasy Kit. The total RNA was subjected to cRNA synthesis with 3′ IVT Express Kit (Affymetrix), and the resultant cRNA was fragmented and hybridized to the HG-U133 Plus 2 platform (Affymetrix). After hybridization, GeneChip arrays were washed, stained with GeneChip Fluidics Station 450 (Affymetrix), and detected with Scanner 3000 TG System (Affymetrix) following the manufacturer’s standard protocols. Data analyses were performed with GeneSpringGX 13.0 software (Agilent Technologies).
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8

Whole Transcriptome Analysis of WGA Populations

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Total RNA was extracted using an RNeasy Plus Mini kit. 50 ng of total RNA was processed by an Ambion WT Expression Kit and Affymetrix GeneChip Whole-Transcript Expression Arrays (Ambion). Samples were hybridized to GeneChip Human Gene 1.0 ST Arrays (Affymetrix) according to the manufacturer's protocol. WGA+ and WGA populations were sorted by FACS and analyzed using GeneSpring GX13.0 software (Agilent Technologies). The expression signals of the probe sets were calculated using PRIER16.
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9

Multivariate Analysis of Microarray Data

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Microarray results from the nine experimental groups were analyzed by one-way ANOVA (corrected P-value < 0.05, Benjamini-Hochberg), PCA, k-means clustering and correlation analysis with similar entities by means of the Genespring GX 13.0 software (Agilent). PCA eigenvalues were determined by means of Genesis software (release 1.7.7). Optimal number of clusters was determined on the within-group sum of squares calculated by means of the k-means script in R. Ingenuity Pathway analysis used Fisher’s exact test was used to calculate a P-value reflecting the probability that the association between the set of molecules and a given pathway was due only to chance. Threshold of the P-value for association was set to 0.01. In overlapping pathway analysis, settings were selected to guarantee a minimum of 4 common genes between different canonical pathways.
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10

Circadian Rhythm Gene Expression Analysis

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The expression profile of circadian rhythm-related genes was assessed in 27 samples (control, 3; G1, 7; G2, 11; G3, 6) using microarray technique (HG-U133A; Affymetrix, Santa Clara, CA, USA). All procedures were performed in accordance with the manufacturer's instructions. The methodology was described in detail in our previously published work [11] (link). GeneSpring GX 13.0 software (Agilent Technologies, Inc., Santa Clara, CA, USA) was used for statistical analysis. It was performed for 133 mRNAs representing genes associated with circadian rhythms selected based on the Affymetrix NetAffx™ Analysis Center database (http://www.affy-metrix.com/analysis/index.affx; accessed on 17 June 2020). ANOVA with Benjamini-Hochberg correction and Tukey's post-hoc test were performed. The microarray dataset has been deposited in the Gene Expression Omnibus (GEO) database under the accession GSE115810.
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