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9 protocols using un scan it gel analysis software

1

Juglone-Induced Apoptosis Signaling

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Cells were treated with different concentrations of juglone (0, 20, and 40 μM) for 48 h. Total protein extracts were obtained from lysis buffer (150 mM NaCL, 1% NP-40, 0.5% sodium deoxycholate, 0.1% SDS, and 50 mM Tris-Cl pH 8.0, 2 ug/mL aprotinin, 2 ug/mL leupeptin, 40 mg/mL of phenylmethylsulfonyl fluoride, 2 mM DTT). The protein concentration was determined by the Bradford assay (BioRad, Hercules, CA), and samples were separated on SDS-PAGE, and then transferred onto polyvinylidene difluoride (PVDF) membranes. The membranes were immunoblotted with primary Abs against cleaved caspase 9 (Cell Signaling Technology, 1:1000), P-p38 (Cell Signaling Technology,1:1000), and β-actin (Cell Signaling Technology,1:10000) overnight at 4 °C, followed by horseradish peroxidase (HRP) conjugated secondary Ab (BioRad,1:3000). Detection was carried out using Supersignal West Femto Chemiluminescent Substrate (Pierce, Rockford, IL). β-actin was taken as reference and the band intensities were quantified using UN-SCAN-IT gel analysis software (Silk Scientific, Orem, UT).
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2

Myosin Heavy Chain Isoform Profiling

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GG, SG, ADG, and PDG were removed from euthanized mice and homogenized through mechanical disruption and sonication. Total protein was isolated through previously described methods[25 (link)]. A large-format Hoefer SE 600 series sodium doedecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) system was used to separate 400 ng of protein samples by molecular weight. Samples were run at 8°C for 29–32 hours though a 6% acrylamide, 30% glycerol separation gel and a 4% acrylamide, 30% glycerol stacking gel[26 (link), 27 (link)]. MyHC isoforms were detected though silver staining and identified thorough relative mobility as previously described[28 (link)]. Optical density of each band was digitally assessed thorough Un-Scan-It Gel Analysis Software (Silk Scientific, Inc.) and was used to determine MyHC isoform composition of each muscle, calculated as a relative percentage of total MyHC. Proteins from soleus and extensor digitorum longus (EDL) muscles were used as control samples to verify the relative positions of MyHC I and MyHC 2b, respectively, as previously described[28 (link)].
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3

Protein Visualization by SDS-PAGE

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Changes in proteins over time during incubation with pepsin, trypsin, and chymotrypsin were visualized with reducing SDS-PAGE. Laemmli sample buffer and 10× tris/glycine/SDS running buffer were obtained from Bio-Rad (Hercules, CA), β-mercaptoethanol was obtained from Sigma-Aldrich, and SeeBlue Plus2 protein standard was obtained from Invitrogen (Carlsbad, CA). Sample and sample buffer (containing 1% β-mercaptoethanol) were combined in a 1:1 ratio and the mixture was heated for 5 min at 85°C. Samples were run on a 15% tris-HCl Ready Gel (Bio-Rad Laboratories) at constant voltage (200 V). Gels were stained with Imperial Protein Stain (Thermo Fisher Scientific, Rockford, IL). Band density was quantified with UN-SCAN-IT gel analysis software (Silk Scientific, Inc., Orem, UT).
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4

Extrinsic Tongue Muscle Protein Analysis

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Total protein was isolated from homogenized extrinsic tongue muscles of adult mice using methods previously described (Adreani et al., 2006 (link)). Following sample protein quantification through a Bradford protein concentration assay (Thermo Fisher Scientific), MyHC profiles of extrinsic tongue muscles were analyzed through separation by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) (Adreani et al., 2006 (link)), and silver staining to visualize protein isoform bands. Stained gels were digitally scanned using a flatbed scanner and band signal intensity was quantified using UN-SCAN-IT gel analysis software (Silk Scientific). Each mouse muscle sample was analyzed in duplicate.
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5

Urinary Protein Profiling in PH1 Patients

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Diluted cell-free urine (500 µL urine + 500 µL blocking buffer) from PH1 patients (n = 6/group) was used to identify urinary excretion of proteins by a customized antibody array membrane from Ray Biotech, Inc., Peachtree Corners, GA, USA using the standard protocol suggested by the manufacturer. The densities of urinary protein signals were quantified by positive dot blot analysis of UN-SCAN-IT gel™ analysis software (Silk Scientific Inc., Orem, UT, USA). Positive and negative controls were included on the membrane arrays (Additional file 1: Figure 1). The signal intensity of every protein measured in cell-free urine was normalized by subtracting the average background signal (negative control) and dividing by the average pixel value of the positive controls on each membrane. The intensity of each protein was expressed as the average of duplicate pixel values for that protein on a given membrane similar to our previous studies using serum and platelet lysate [71 (link), 72 (link)].
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6

Protein Extraction and Western Blot Analysis

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The lysates from cultured cells and tissues were prepared as described by us previously (18 (link),19 (link),21 (link)). Western blotting was per4formed as described by us previously (18 (link),21 (link)). Western blots were stripped and re-probed with anti-β-Actin antibody to correct for protein loading. Immunoreactive bands were visualized by enhanced chemiluminescence method and quantified by densitometric scanning using UN-SCAN-IT gel analysis software (Version 7.1, Silk Scientific Corporation, Orem, UT).
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7

Quantifying Protein Levels via Western Blots

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To quantify the protein level, Western blots were scanned with an Epson Expression 1680 scanner (Epson America, Inc, Los Alamitos, CA). Protein intensity on the Western blots was quantified by densitometric analysis with less exposed films to avoid protein signal saturation and subtracting the background of films using UN-SCAN-IT gel Analysis Software (Silk Scientific, Inc., Orem, UT). The statistical differences in intensity of PrP detected by Western blotting or ThT fluorescence of PrP aggregates among different groups were statistically analyzed using Student’s t-test or one-way ANOVA to obtain p values. All tests adopted a two-sided type I error level of 0.05.
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8

MyHC isoform quantification from protein extracts

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Sample pellets were processed using reagents previously described [30 (link)]. Pellets were briefly sonicated in protein extraction buffer, incubated at 4°C for 1 hour, centrifuged for 40 min at 14.5 rpm, and resulting supernatant was analyzed for protein concentration through a Bradford Protein Assay. Protein (400 ng per well) was separated on a large format 6% acrylamide/30% glycerol separating gel, 4% acrylamide/30%glycerol stacking gel run for 24 hours, silver stained, and analyzed by UN-SCAN-IT gel analysis software (Silk Scientific). The software segment analysis tools were used to determine the average pixel value for each MyHC band. The average pixel value for each band was used to calculate the relative percentage each MyHC isoform contributed to the total MyHC isoform protein in each sample lane, as previously described [26 (link), 31 (link)].
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9

Quantitative Analysis of Biomolecules

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Densitometric quantification of DNA or protein bands was performed by analyzing each data using UN-SCAN-IT gel Analysis Software (Silk Scientific Inc., Orem, UT, USA). Subsequently, a statistical analysis of the mRNA levels and densitometric quantification of DNA and protein bands was performed with GraphPad Prism 5 (GraphPad Software Inc., San Diego, CA, USA). The data were analyzed in either of the two ways. First, the data were analyzed with one-way analysis of variance, followed by Dunnett test. This method was used to compare all columns with reference to the control column. Second, a t-test was used for comparison of differences between the two columns. The confidence interval was set to 95%.
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