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Genepix pro v6

Manufactured by Molecular Devices
Sourced in United States, United Kingdom

GenePix Pro v6.0 is a microarray image analysis software developed by Molecular Devices. It is designed to process and analyze data from various microarray platforms. The software provides tools for image acquisition, gridding, feature extraction, and data analysis.

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24 protocols using genepix pro v6

1

Lectin Binding Analysis of Extracellular Vesicles

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Local background-corrected intensity values were extracted from the image files using GenePix Pro v6.1.0.4 (Molecular Devices) and evaluated in a manner similar to Gerlach et al. [20 (link)]. The median of 6 replicate spots per sub-array was handled as a single data point for graphical and statistical analysis. Unsupervised, hierarchical clustering of EV-lectin binding data was performed with Hierarchical Clustering Explorer v3.0 (http://www.cs.umd.edu/hcil/hce/hce3.html). Previously normalized data (all enzyme treatments; total intensity mean adjustment) or raw data scaled inside HCE (FhEV vs FhTeg/ 0 to 30,000 relative fluorescence intensity (RFU)) for EVs was clustered with the following parameters: no pre-filtering, average linkage, Euclidean distance. Statistical significance of lectin binding inhibition by competition with soluble mono- or disaccharides was established by unpaired, two-tailed Student’s t-tests (with unequal variance) of individual lectin data sets in Excel (Microsoft).
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2

Quantitative Binding Assay Protocol

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Raw intensity values were extracted from the image .tif files using GenePix Pro v6.1.0.4 (Molecular Devices, Berkshire, U.K.) essentially as previously described57 58 59 (link). Results were analyzed in Excel (v.2011, Microsoft) where normalization and all data calculations were performed as described57 58 . Binding data is represented in histogram form of average intensity with one standard deviation (SD) of six replicates from three experiments (n = 18). Unsupervised clustering of normalized binding data was performed with Hierarchical Clustering Exploer v.3.5 (Human–Computer Interaction Lab, University of Maryland, http://www.cs.umd.edu/hcil/hce/hce3.html) as previously described57 . Statistical Analysis (a one-way ANOVA) was performed to evaluate significant decrease in EV binding in presence of monosaccharide tested.
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3

Microarray Data Analysis Protocol

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Data extraction was performed essentially as previously described [34 (link)]. In brief, raw intensity values were extracted from the image *.tif files using GenePix Pro v6.1.0.4 (Molecular Devices, Berkshire, UK) and a proprietary *.gal file (containing feature spot address and identity) using adaptive diameter (70–130%) circular alignment based on 230 μm features and were exported as text to Excel (Version 2016, Microsoft). Local background-corrected median feature intensity data (F532median-B532) was analysed. The median of six replicate spots per subarray was handled as a single data point for graphical and statistical analysis and considered as one experiment. Data were normalised to the per-subarray mean total intensity value of the three technical replicate microarray slides (or duplicate in specified cases). Binding data was presented in bar chart form of the average intensity of three experimental replicates +/- one standard deviation (SD).
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4

Microarray-based Lectin Binding Analysis

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Microarray data extraction was performed as previously described (Gerlach et al., 2014; Kilcoyne, Gerlach, Kane, & Joshi, 2012). In brief, GenePix Pro v6.1.0.4 (Molecular Devices, Berkshire, UK) was used to extract raw intensity values from image files using a proprietary *.gal file which enabled the identification of 230 μm printed lectin spots using adaptive diameter (70%–130%) circular alignment. The data were then exported as text to Excel (version 2010, Microsoft). Local background‐corrected median feature intensity data (F633median‐B633) values were selected, and the median of six replicate spots per subarray was handled as a single data point for graphical and statistical analysis. Binding intensity data are represented in bar charts as the mean intensity with single standard deviation of all like experimental replicates.
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5

miRNA Microarray Hybridization and Analysis

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The sample analysis and miRNA microarray hybridization were completed by Kangchen Bio-tech (Shanghai, China). Briefly, miRNA labeling was performed using the miRCURY Array Power Labeling kit (cat. no. 208032-A; Exiqon, Vedbaek, Denmark). Then, the labeled sample was combined with 2X Hybridization buffer (Phalanx Hyb). Assembly and miRCURY™ Array, was used for miRNA array hybridization. miRNA array scanning and analysis were applied via Axon GenePix 4000B microarray scanner and GenePix pro V6.0 software (Molecular Devices, LLC, Sunnyvale, CA, USA). Differentially expressed miRNAs between PVT1 RNAi and the control groups were identified when fold-change (FC) was ≥2 or ≤0.5, and false discovery rate (FDR) <1 and P<0.05.
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6

Microarray Data Analysis Protocol

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Microarrays were washed sequentially with 0.2% (w/v) SDS buffer, PBS containing 0.1M sodium borohydride, 0.2% SDS (w/v), water and ethanol (100%). Microarray hybridizations were done on a HS48000 hybridization station (Tecan Ltd., Switzerland), using an automated program and 0.1–4 X SSC/0.1–0.2% (w/v) SDS buffer solutions as recommended by the manufacturer.Slides were scanned on an Agilent BA scanner and two digital images were obtained for each array, which were overlaid using the manufacturer’s software. Images were exported to and analyzed using GenePix® Pro v6.0 software (Molecular Devices LLC, USA) and the median of duplicate spots was calculated for each image and raw data were expressed as a log ratio of Cy5/Cy3 (sample/control probe). Intra- and inter-array global LOWESS normalization was done in J- Express Pro software (MolMine, Norway) and ratios were then used to rank genes and calculate fold changes. A False Discovery Rate (FDR) limit of ≤ 5% was applied to the gene lists and genes with an FDR above this cut-off were excluded from analysis [11 ].
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7

Placenta Microarray Data Analysis

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Human placenta microarray data were analyzed using the RMA algorithm with default settings and global scaling as the normalization method with Partek® Genomics Suite 6.6. Values are presented as log2 RMA signal intensities. The cellular microarray data were analyzed using GenePix pro V6.0 software (Molecular Devices, LLC, USA) and standardized using the Agilent GeneSpring GX v11.5.1 Software (Agilent, USA) for further analysis. Data are presented as means±SEM, and the significance of differences was tested using Student's unpaired two-tailed t-tests or two-way repeated measures ANOVA with Bonferroni's correction; P<0.05 was considered significant.
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8

High-Density Microarray Protein Profiling

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Standard experimental procedures for high-density microarrays have been previously described (28 (link)). In summary, the HuProt microarray from CDI Labs consisted of approximately 21,000 proteins. The microarray was retrieved from −80 °C storage and blocked with bovine serum albumin (BSA, 9048-46-8, Sigma) for 1.5 h. Subsequently, it was incubated with plasma samples at a 1:1000-fold ratio for 1 h. After washing with 0.1% phosphate buffered solution-tween 20, the plates were incubated with Alexa fluor 647 goat anti-human IgG (109-605-003, Jackson) (diluted in 5% BSA) and scanned using GenePix 4300A (141095, Molecular Devices) with a 635 nm excitation laser. The signal intensities of lgG for each protein were quantified using GenePix Pro v.6.0 software (Molecular Devices) (https://www.moleculardevices.com/products/additional-products/genepix-microarray-systems-scanners). In the verification phase, candidate AAbs identified during the discovery phase were selected and printed onto 2 × 7 sub-arrays for an aNSCLC-focused microarray. The experimental procedures of the aNSCLC-focused microarray were similar to the high-density microarray, except for blocking and dilution buffer, which was 3% BSA.
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9

Profiling lncRNA Expression in ESCC

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Total RNA of the ESCC tissues and adjacent normal tissues were extracted with RNA enzyme inhibitor RNAiso Plus and delivered to Shanghai Kangcheng Biological Co., LTD for chip service. First, rRNA and DNA were removed from 1 μg of total RNA, then the template was amplified and reversely transcribed into fluorescent cDNA with random primers. The labeled cDNA was hybridized with Human LncRNA Array v3.0 (8 × 60K; Arraystar, Rockville, MD, USA), the chip was washed, and the fluorescence signal intensity of the chip was scanned by a GenePix4000B chip scanner (Molecular Devices, San Jose, CA, USA). Finally, GenePix Pro V6.0 (Molecular Devices) was used for hierarchical clustering analysis of raw data. The screening conditions for differentially expressed genes were as follows: |Fold| ≥ 2, p < 0.05, and false discovery rate (FDR) < 0.05.
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10

Profiling Blood miRNA in Essential Hypertension

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Our preliminary investigation reserved the blood samples from healthy individuals and patients with essential hypertension. Total RNA was harvested using TRIzol and RNeasy Mini kit according to the manufacturer's instructions. After having undergone RNA measurement on the NanoDrop instrument, the samples were labeled using the miRCURY™ Hy3™/Hy5™ Power Labeling kit and hybridized on the miRCURY™ LNA Array (v.11.0). Scanning was performed with the Axon GenePix 4000B Microarray scanner. GenePix Pro v6.0 (Molecular Devices LLC, USA) was used to read the raw intensity of the image.
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