Sodium dodecyl sulfate (sds)
Sodium dodecyl sulfate (SDS) is a commonly used anionic detergent for various laboratory applications. It is a white, crystalline powder that has the ability to denature proteins by disrupting non-covalent bonds. SDS is widely used in biochemical and molecular biology techniques, such as protein electrophoresis, Western blotting, and cell lysis.
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Market Availability & Pricing
Sodium dodecyl sulfate (SDS) is a widely used laboratory reagent available through authorized distributors like Merck Group and Sigma-Aldrich. Merck's EMPROVE® ESSENTIAL Ph Eur grade SDS is commercialized in 1 kg quantities, while Sigma-Aldrich provides SDS suitable for electrophoresis and molecular biology applications.
Pricing for SDS varies by distributor and product grade. Merck's 1 kg EMPROVE® ESSENTIAL Ph Eur grade SDS is priced at approximately $350 USD (excluding VAT). Sigma-Aldrich also offers SDS products, though specific pricing may require direct inquiry.
For alternative options, Thermo Scientific provides SDS suitable for electrophoresis applications.
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4 338 protocols using «sodium dodecyl sulfate (sds)»
Liver Tissue Protein Extraction and Western Blot
Synthesis and Characterization of Gemini Surfactants
Antibody and Chemical Reagents for Influenza A Virus Study
Chemical reagents used in this study include Z-VAD-FMK (InvivoGen; tlrl-vad), Z-VEID-FMK (R&D systems; FMK006), Z-DEVD-FMK (R&D systems FMK004), and Z-IETD (Invivogen; inh-ietd) at indicated concentrations. Ammonium bicarbonate, phosphoric acid, triethylAmmonium bicarbonate (TEAB), and sodium dodecyl sulfate (SDS) were purchased from Sigma-Aldrich (St. Louis, MO). Formic acid (FA) 99%, iodoacetamide (IAA), tris(2-carboxyethyl)phosphine hydrochloride (TCEP), trypsin protease MS-grade were purchased from Thermo Scientific Inc. (Rockford, IL, USA). LCMS-grade solvents: water, acetonitrile (ACN), methanol, were purchased from Fisher Chemical. S-Trap micro columns were purchased from ProtiFi (Huntington, NY). Evotips were purchased from Evosep (Odense, Denmark).
MTT Assay for Cell Viability
The index of metabolic activity (IMA) was calculated using the formula CMTT/CCV, where CMTT (%) is the calculated percentage of metabolically active cells relative to control cells taken as 100%; CCV (%) is the calculated percentage of adherent viable cells relative to control cells taken as 100%. Since the values of the control cells are taken as 100% in both the MTT and SV assays, their metabolic activity index is 1.
Adsorption of Proteins on Biomaterial Surfaces
protein adsorption on biomaterial surfaces, both 2D and 3D samples
were immersed in DMEM supplemented with 10% fetal bovine serum (HyClone,
GE Healthcare, Utah, U.S.A.) and incubated at 37 °C for 24 h.
Tissue culture plates were used as controls. After incubation, the
samples were washed with DPBS and then incubated in 2% sodium dodecyl
sulfate (Sigma-Aldrich) for 20 h. Total protein content was quantified
using a commercially available protein assay kit (Pierce BCA Protein
Assay, Rockford, IL, U.S.A.) according to the manufacturer’s
instructions. Label-free mass spectrometry was then used to determine
the relative abundance of proteins adsorbed on the nanocellulose surfaces,
as previously described.37 (link) Protein solutions
were lyophilized and mixed with urea solution for unfolding. After
trypsin digestion, the samples were purified, lyophilized and subjected
to mass spectrometric analysis using a Dionex Ultimate NCS-3500RS
liquid chromatography system (Sunnyvale, CA, USA). After protein identification,
filtering, and mapping, the raw data were processed using Perseus
(version 2.0.9.0). We performed a log2 transformation without additional
normalization, as the relative label-free quantification (LFQ) intensity
column already includes normalized abundance values. The processed
data underwent differential expression analysis (DE) using ANOVA.
A list of differentially expressed proteins was generated and subjected
to Post hoc Tukey’s Honestly Significant Difference (HSD) test,
with a False Discovery Rate threshold of 0.05. These proteins were
then grouped into clusters based on the Euclidean distance metric
and Average Linkage method. The data table was exported to a .txt
file for further analysis in Python, enabling additional analyses
beyond those available in Perseus. Python was used to identify the
unique and overlapping adsorbed proteins in all groups.
For
each protein, it was considered adsorbed in each treatment if at least
one biological replicate had a value greater than 0. This data was
then used to generate Venn diagrams and heatmaps.
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