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Genechip scanner 3000 g7

Manufactured by Thermo Fisher Scientific
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The GeneChip Scanner 3000 G7 is a high-performance microarray scanner designed for use with Thermo Fisher Scientific's GeneChip platforms. The scanner captures and processes fluorescent signals from labeled samples hybridized to GeneChip arrays, enabling the detection and analysis of gene expression data.

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13 protocols using genechip scanner 3000 g7

1

Transcriptome Profiling Using Affymetrix GeneChip

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Total RNA (15 μg) was isolated and reverse transcribed for hybridization to the human oligonuleotide array U133 Plus 2.0 (Genechip, Affymetrix) as described previously54 (link). Arrays were processed using the Affymetrix GeneChip Fluidic Station 450 and scanned using a GeneChip Scanner 3000 G7 (Affymetrix). The GeneChip Operating Software (Affymetrix GCOS v1.4) was used to obtain chip images with quality control conducted using the AffyQCReport software.
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2

Quantification of mRNA Expression in Atrial Fibroblasts

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To determine mRNA expression levels relative to glyceraldehyde 3-phosphate dehydrogenase (GAPDH) by quantitative polymerase chain reaction (qPCR), mRNA isolation from immortalized human atrial fibroblasts (Künzel et al., 2020 (link)) was performed using a commercial RNA isolation kit (RNeasy Micro Kit; Qiagen, Germany). Complementary DNA was amplified in TaqMan Fast Advanced Master Mix (4444556, ThermoFisher) for a total of 40 cycles. A more detailed protocol can be found in Emig et al. (2021) (link).
KCNMA1 expression in primary atrial fibroblasts from patients with SR and AF was assessed based on the Affymetrix GeneChip array (Affymetrix, Santa Clara, CA, United States) analysis described in Poulet et al. (2016) (link). Briefly cells were cultured for 3 weeks, replated at a density of 2.5 × 103 cells per cm2 and kept two more weeks in culture before analysis. Hybridization at 45°C and 60 revolutions per minute for 16 h (hybridization oven 640; Affymetrix), staining and washing, processing (Fluidics Station 450, Affymetrix) and scanning (GeneChip Scanner 3000 G7) were all carried out as recommended by Affymetrix.
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3

Profiling miRNA Expression in Activated CD8+ T-cells

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miRNA expression profiles of resting and activated CD8+ T-lymphocytes were generated using the Affymetrix miRNA 3.1 strip arrays (Affymetrix, Santa Clara, CA, USA) at the Functional Genomics Core of the Institute for Research in Biomedicine (IRB, Barcelona, Spain). All procedures were carried out according to the manufacturer's protocols. Briefly, 1μg of each total RNA sample was poly-A tailed and the proprietary biotin-labeled dendramer molecule was joined to the 3´-end using the FlashTag Biotin RNA Labeling Kit (Genisphere, Hatfield, PA, USA). Labeled samples were hybridized to the miRNA array at 48°C for 16 h and then washed and stained with a Streptavidin-PE solution prior to imaging. Chips were scanned with a GeneChip scanner 3000 G7 (Affymetrix, Santa Clara, CA, USA). The Affymetrix miRNA 3.1 strip arrays contain 19.724 probe sets and covers 153 organisms, including humans. The strip array miRNA probes were derived from the Sanger miRBase miRNA database v17 release (http://microrna.sanger.ac.uk) and include a total of 5.607 human miRNAs: 1.733 human mature miRNA (hsa-miR) probe sets, 2.216 human small nucleolar RNAs (snoRNA) and small cajal body-specific RNAs (scaRNA) probe sets and 1.658 human pre-miRNA (hsa-mir) probe sets.
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4

Microarray Gene Expression Analysis

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Total RNA was isolated and reverse transcribed for hybridization to the Mouse Gene 1.0 ST Array (GeneChip; Affymetrix, Santa Clara, CA, USA) as described previously.33 (link) Arrays were processed using the Affymetrix GeneChip Fluidic Station 450 (protocol EukGE-WS2v5_450) and scanned using a GeneChip Scanner 3000 G7 (Affymetrix). GeneChip Operating Software (Affymetrix GCOS v.1.4) was used to obtain chip images, with quality control performed using the AffyQCReport software (Bioconductor, Berkeley, CA, USA). GSEA was performed on the Board Institute Platform34 (link), 35 and statistical significance (false discovery rate) was set at 0.25. Microarray data are available from Gene Expression Omnibus (National Center for Biotechnology Information, Bethesda, MD, USA) under the accession number GSE45232.
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5

Lung Transcriptomic Profile Analysis

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Using separate groups of animals, total RNA was extracted from whole lungs using TRIzol reagent (Life technologies, Carlsbad, CA), following the Affymetrix GeneChip® Expression Analysis Manual (Affymetrix, Santa Clara, CA, USA) guidelines and recommendations. All RNA samples met purity and integrity quality control criteria previously established (22 (link), 23 (link)). Reactions for cDNA synthesis and in vitro transcription for labeled cRNA probe, microarray hybridization, image generation, and probesets reading process were performed as reported previously (22 (link)). In total, twelve Affymetrix GeneChip Mouse Genome 430A 2.0 microarrays were hybridized for three separate groups of animals (n=4/group). After hybridization, each chip was scanned on an Affymetrix GeneChip® Scanner 3000 G7. Raw intensities for every probe were stored in electronic files (.DAT and .CEL formats) by the GeneChip® Operating Software (GCOS).
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6

Microarray Gene Expression Analysis Pipeline

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Total RNA were reverse transcribed and used for in vitro transcription to generate labeled cDNA using Affymetrix 3' IVT Express Kit (Santa Clara, CA, USA) following manufacturer protocol and recommendations. Affymetrix HG-U133A v2.0 GeneChip microarrays for gene expression (n = 31) were hybridized and scanned on an Affymetrix GeneChip Scanner 3000 G7. Quality control and normalization were performed as reported previously.[17 (link)] Probe sets raw intensities were stored in electronic files (.DAT and .CEL formats) by the GeneChip Operating Software (GCOS). Statistical analyses were performed over all probesets (n = 22,277) on each GeneChip microarray including control probesets to discard significant differences. A two-sample t-test was fit for TAC vs. EVR comparison in the R programming environment.[18 ] A p-value <0.05 was considered significant for differentially expressed genes. Differential gene expression was illustrated using fold-changes.
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7

Affymetrix Microarray Gene Expression Analysis

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Total RNA were reverse transcribed and used for in vitro transcription to generate labeled cDNA using Affymetrix 3′ IVT Express Kit® (Affymetrix) following manufacturer protocol and recommendations. Affymetrix HG-U133A v2.0 GeneChip® microarrays for gene expression(n = 30) were hybridized and scanned on an Affymetrix GeneChip® Scanner 3000 G7. Quality control and normalization were performed as reported previously.38 (link) Probe sets raw intensities were stored in electronic files (.DAT and .CEL formats) by the GeneChip® Operating Software(GCOS). Statistical analyses were performed over all probesets (n=22,277) on each GeneChip® microarray including control probesets to discard significant differences. A two-sample t-test was fit for TAC vs. SRL comparison in the R programming environment.39 A p-value <0.05 was considered significant for differentially expressed genes. Differential gene expression was illustrated using fold-changes.
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8

Affymetrix Microarray Gene Expression Analysis

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Total RNA were reverse transcribed and used for in vitro transcription to generate labeled cDNA using Affymetrix 3′ IVT Express Kit® (Affymetrix) following manufacturer protocol and recommendations. Affymetrix HG-U133A v2.0 GeneChip® microarrays for gene expression(n = 30) were hybridized and scanned on an Affymetrix GeneChip® Scanner 3000 G7. Quality control and normalization were performed as reported previously.38 (link) Probe sets raw intensities were stored in electronic files (.DAT and .CEL formats) by the GeneChip® Operating Software(GCOS). Statistical analyses were performed over all probesets (n=22,277) on each GeneChip® microarray including control probesets to discard significant differences. A two-sample t-test was fit for TAC vs. SRL comparison in the R programming environment.39 A p-value <0.05 was considered significant for differentially expressed genes. Differential gene expression was illustrated using fold-changes.
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9

Liver Transcriptome Profiling via Microarray

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Total RNA was isolated from liver biopsy samples using Trizol. Quality control (QC) evaluation for RNA purity and integrity were performed in accordance with previous established criteria (23 (link)). All RNA samples met QC and were then used for messenger RNA (mRNA) labeling followed by Affymetrix™ HG-U133A v2.0 GeneChip® microarrays hybridization (n = 50). Hybridized microarrays were scanned on an Affymetrix GeneChip® Scanner 3000 G7. Probe set intensity raw data were electronically stored in .DAT and .CEL files using GeneChip® Operating Software (GCOS).
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10

RNA Purification and Microarray Analysis

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Total RNA was purified from xenograft using TRIzol® Reagent (Gibco, Life Technologies) according to the manufacturer. Briefly, 50–100 mg of fresh frozen tissue per ml of TRIzol® was disrupted using a homogenizer followed by a single step of phenol/chloroform purification. Total RNA was quantified using the Nanodrop spectrophotometer (NanoDrop Technologies, Inc), and RNA Integrity Number (RIN) was calculated using the Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA). RNA samples that reached a RIN between 8 and 10 were used for microarray hybridization (GeneChip; Affymetrix Inc., Santa Clara, CA). The Genechip® Human Gene 2.0 ST Arrays were washed and stained using the Affymetrix GeneChip fluidic station 450 (protocol EukGE‐WS2v5_450) and were scanned using a GeneChip scanner 3000G7 (Affymetrix Inc., Santa Clara, CA). GeneChip operating software version 1.4 (Affymetrix Inc., Santa Clara, CA) was used to obtain chip images and for quality control. Background subtraction and normalization of probe set intensities were performed using the method of Robust Multi‐array Analysis (RMA; Irizarry et al, 2003). Microarray analysis was performed by the CHU de Québec Research Center Gene Expression Platform (Quebec City, Quebec, Canada). Seventeen samples of the cohort were previously published (Duconseil et al, 2015) as GEO accession numbers GSE55513 and GSE89792.
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