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Imagemaster 2d platinum v 6

Manufactured by GE Healthcare
Sourced in United States

ImageMaster 2D Platinum v.6.0 is a software application for the analysis of two-dimensional gel electrophoresis images. It provides tools for image acquisition, spot detection, quantification, and comparison of protein profiles.

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5 protocols using imagemaster 2d platinum v 6

1

Proteomic Analysis of Antimicrobial Responses

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Cells in the exponential growth phase were harvested from BHI broth, washed in Tris-HCl 50 mM (pH 7.5) and used to generate proteins extracts as described by De Angelis et al. (2001) (link). Equivalent amounts of total protein (60 μg for analytical runs or 200 μg for preparative runs for protein identification) were used for each electrophoretic run. The 2-DE was performed essentially as described by Görg et al. (1988) (link) and Hochstrasser et al. (1988) (link) using a Pharmacia 2-D-Electro Focusing (EF) system (GE Healthcare, Milano, Italy). Gels were stained using Brilliant Blue G-Colloidal Concentrate (Sigma) or an MS-compatible silver method. The protein maps were scanned using LabScan on an ImageScanner (GE Healthcare) and were analyzed using ImageMaster 2D Platinum v.6.0 (GE Healthcare). Three gels from three independent experiments were analyzed, and the spot intensities were normalized (De Angelis et al., 2001 (link)), with the spot quantification for each gel calculated as a relative volume (% vol) that corresponded to the volume of each spot divided by the total volume over the entire image. The comparison between different conditions for the amount of the same protein was carried out as the rate of the relative volume of the same spot found in control (untreated cells) and ethanol or other antimicrobials treated cells (Siragusa et al., 2014 (link)).
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2

E. coli Proteome Subcellular Localization

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The E. coli BL21(DE3) proteome was analyzed to predict membrane‐associated and periplasmic proteins. A meta‐prediction pipeline that employs different subcellular localization prediction tools in three phases of positive and negative selections was used (Hisham & Ashhab, 2018). The identified proteins were subsequently assessed for their biological function and classified (essential vs. non‐essential) according to the ‘Keio collection’ (Baba et al., 2006), and EcoCyc E. coli database (Keseler et al., 2017), respectively. Oligonucleotides for guide DNAs, donor DNAs and primers were designed using Serial Cloner and Benchlink and BLAST was used for alignments (Altschul et al., 1990). Densitometry was performed with Image Studio Lite Version 5.2 (Li‐Cor Biosciences, Lincoln, NE USA) and for 2‐DE map analysis, ImageMaster 2D Platinum v.6.0 software was used (GE Healthcare, Chicago, IL USA).
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3

Comparative Proteomic Analysis of 2D Gels

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Image analysis was performed on analytical 2D gels using ImageMaster 2-D Platinum v6.0 (GE Healthcare). For each condition tested, image analysis was performed on three different spot maps from three biological replicates for a total of nine analyzed gels. An intra-class quality and experimental control was performed by comparing the gels and then a differential inter-class analysis was performed to detect any statistically significant quantitative and qualitative differences. Based on a fold change of at least ±2 in relative volume (%V) ratio, and on statistically analysis as reported in the tables, differentially expressed proteins were detected among the three conditions examined.
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4

Protein Separation and Quantification by 1D and 2D PAGE

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The protein samples were separated by 1 dimensional- and 2 dimensional- polyacrylamide gel electrophoresis (1D- and 2D-PAGE). For 1D-PAGE, the protein samples (10 μg) were separated by 12.5% polyacrylamide gels as described by Laemmli [44 (link)]. For 2D-PAGE, equal amounts of protein (60 μg) from each sample were separated as follows. In the first dimension, IPG strips (GE Healthcare, USA) that were 7 cm in length and pH 3–10 were used. Electrophoresis was performed following the specific conditions described by the manufacturer. After isoelectric focusing (IEF), the proteins were separated by SDS-PAGE in the second dimension using 12.5% polyacrylamide gels. The gels were stained using the Coomassie Blue-G staining method. For each biological replicate, one set of high-resolution gels, run at different times, was selected for further analysis. The relative abundance of each protein spot was quantified. The gel images were scanned by a UMAX image scanner coupled with Labscan software (GE Healthcare, USA). For the 2D-PAGE profile, protein spots were detected, matched, and volume-quantified using ImageMaster 2D platinum v.6.0 software (GE Healthcare, USA).
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5

Comparative Proteomic Analysis of Fibroblasts

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A 2-D spot map was obtained for each fibroblast sample, and the corresponding image analysis was carried out using the ImageMaster 2D Platinum v. 6.0 software (GE Healthcare). An intra-class analysis was performed by comparing the gels from the same condition. In order to detect any statistically significant quantitative and qualitative difference occurring among them, a differential inter-class analysis was done comparing, at the same time, all the 4 classes. Protein spots that showed at least ± 2 fold change in relative volume (%V) ratio, among the four conditions, at a 95% confidence level (1-way ANOVA: p ≤ 0.05), were considered significant differences. Pair-wise comparison of experimental groups was also performed for the significant differences that were selected according to above applied parameters by the Tukey's post-hoc multiple comparison test using the Excel Template inerSTAT-a v. 2.0.
The distribution of differentially expressed proteins among the six performed pair comparisons was visualized by a six-way Venn diagram that was obtained using the freely accessible jvenn software (http://bioinfo.genotoul.fr/jvenn/example.html) [41] .
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