Academic Journal

Comparison of Automated and Traditional Western Blotting Methods

التفاصيل البيبلوغرافية
العنوان: Comparison of Automated and Traditional Western Blotting Methods
المؤلفون: Aino Sormunen, Emma Koivulehto, Kari Alitalo, Kalle Saksela, Nihay Laham-Karam, Seppo Ylä-Herttuala
المصدر: Methods and Protocols; Volume 6; Issue 2; Pages: 43
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2023
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: Western blotting, automation, protein analysis, JESS Simple Western™, iBind™ Flex, SARS-CoV-2
الوصف: Traditional Western blotting is one of the most used analytical techniques in biological research. However, it can be time-consuming and suffer from a lack of reproducibility. Consequently, devices with different degrees of automation have been developed. These include semi-automated techniques and fully automated devices that replicate all stages downstream of the sample preparation, including sample size separation, immunoblotting, imaging, and analysis. We directly compared traditional Western blotting with two different automated systems, iBind™ Flex, which is a semi-automated system designed to perform the immunoblotting, and JESS Simple Western™, a fully automated and capillary-based system performing all steps downstream of sample preparation and loading, including imaging and image analysis. We found that a fully automated system can save time and importantly offer valuable sensitivity. This is particularly beneficial for limited sample amounts. The downside of automation is the cost of devices and reagents. Nevertheless, automation can be a good option to increase output and facilitate sensitive protein analyses.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Biochemical and Chemical Analysis & Synthesis; https://dx.doi.org/10.3390/mps6020043
DOI: 10.3390/mps6020043
الاتاحة: https://doi.org/10.3390/mps6020043
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.41971920
قاعدة البيانات: BASE