Automation of protein purification methods can increase researchers' efficiency in life sciences. However, currently reported automated protein purification methods require cost-intensive fast protein liquid chromatography systems, such as ÄKTA pure and ÄKTA explorer, without any reported application to the more cost-efficient entry-level system, ÄKTA go. To fill this gap, here we propose a fast, efficient, and versatile automated protein purification strategy for the ÄKTA go. Straightforward integration of two additional accessories, a column valve and a sample loop, into the default ÄKTA go system and making minor rearrangements of flow lines, enabled automation of multi-step protein purification processes. Utilizing this established system, we demonstrate the automated purification of three distinct types of proteins: ubiquitin, polyhistidine-tagged talin, and GST-tagged human rhinovirus 14 3C protease. The described automation strategy is suitable even for small budget-conscious laboratories operating on ÄKTA go systems, thus reducing researchers' time and efforts spent on routine sample preparation tasks of their investigations.
Keyphrases
- protein protein
- machine learning
- binding protein
- deep learning
- liquid chromatography
- high throughput
- amino acid
- small molecule
- endothelial cells
- heart failure
- mass spectrometry
- coronary artery disease
- aortic valve
- mitral valve
- high resolution
- recombinant human
- single cell
- atrial fibrillation
- transcatheter aortic valve replacement
- left ventricular
- high resolution mass spectrometry