Universal WB Toolkit (20T)
KTD106-EN
Western blotting is a method for detecting a certain protein in complex samples based on the specific binding of antigen and antibody. Due to the high resolution of SDS-PAGE and the high specificity and sensitivity of solid-phase immunoassays, western blotting has become a routine technique for protein analysis.
Abbkine has developed a Universal WB Toolkit. After careful design and research, one-stop operation can meet the needs of routine WB experiments and obtain excellent experimental results.
Abbkine has developed a Universal WB Toolkit. After careful design and research, one-stop operation can meet the needs of routine WB experiments and obtain excellent experimental results.
Kit components
• Lysis Buffer-2 mL • Running Buffer (10×)-100 mL • Transfer Buffer (10×)-100 mL • TBST (10×)-100 mL • BSA-3 g • PVDF Membrane (8.5 cm×6 cm)-2 • SuperKine™ West Femto Maximum Sensitivity Substrate A-4 mL • SuperKine™ West Femto Maximum Sensitivity Substrate B-4 mL • WB Positive Control-40 μL • Anti-GAPDH Mouse Monoclonal Antibody (2B5)-6 μL • Colorcode Prestained Protein Marker (10-180 kDa)-5 μL • HRP, Goat Anti-Mouse IgG-3 μL • HRP, Goat Anti-Rabbit IgG-3 μL • SDS-PAGE Loading Buffer (5×)-1 mL |
Features & Benefits
• Standardization of results: A ready-to-use WB positive control, which can be directly loaded to provide a real WB experimental reference; • Ultra-high sensitivity: SuperKine™ West Femto Maximum Sensitivity Substrate provides a highly sensitive color developing solution to enhance the chemical signal of immunological experiments; • Convenient and ready to use: Easy to operate, ready-to-use reagents, no need to prepare complex reagents, you can start the experiment right out of the box; • High efficiency Lysate: Optimized lysate for sample WB needs. Publication
Comparative efficacy evaluation of disinfectants against severe acute respiratory syndrome coronavirus-2(KTD106-EN-6.9)Author:Lee, Gun-Hee, et al. Publication name:Journal of Hospital Infection IF:6.9 Constructing a prognostic risk model for Alzheimer's disease based on ferroptosis(KTD106-EN-4.8)Author:Wang, Xiao-Li, et al. Publication name:Frontiers in Aging Neuroscience IF:4.8 |