Rapid characterization of secreted recombinant proteins by native mass spectrometry. (December 2018)
- Record Type:
- Journal Article
- Title:
- Rapid characterization of secreted recombinant proteins by native mass spectrometry. (December 2018)
- Main Title:
- Rapid characterization of secreted recombinant proteins by native mass spectrometry
- Authors:
- Ben-Nissan, Gili
Vimer, Shay
Warszawski, Shira
Katz, Aliza
Yona, Meital
Unger, Tamar
Peleg, Yoav
Morgenstern, David
Cohen-Dvashi, Hadas
Diskin, Ron
Fleishman, Sarel
Sharon, Michal - Abstract:
- Abstract Characterization of overexpressed proteins is essential for assessing their quality, and providing input for iterative redesign and optimization. This process is typically carried out following purification procedures that require pronounced cost of time and labor. Therefore, quality assessment of recombinant proteins with no prior purification offers a major advantage. Here, we report a native mass spectrometry method that enables characterization of overproduced proteins directly from culture media. Properties such as solubility, molecular weight, folding, assembly state, overall structure, post-translational modifications and binding to relevant biomolecules are immediately revealed. We show the applicability of the method for in-depth characterization of secreted recombinant proteins from eukaryotic systems such as yeast, insect, and human cells. This method, which can be readily extended to high-throughput analysis, considerably shortens the time gap between protein production and characterization, and is particularly suitable for characterizing engineered and mutated proteins, and optimizing yield and quality of overexpressed proteins. Ben-Nissan et al. present a rapid mass-spectrometry method for characterizing recombinant proteins directly from culture media. They test their method on secreted recombinant proteins from yeast, insect, and human cells, revealing solubility, molecular weight, structure, ligand binding and post-translational modifications.
- Is Part Of:
- Communications biology. Volume 1:Number 1(2018)
- Journal:
- Communications biology
- Issue:
- Volume 1:Number 1(2018)
- Issue Display:
- Volume 1, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 1
- Issue:
- 1
- Issue Sort Value:
- 2018-0001-0001-0000
- Page Start:
- 1
- Page End:
- 12
- Publication Date:
- 2018-12
- Subjects:
- Systems biology -- Periodicals
570.113 - Journal URLs:
- http://link.springer.com/ ↗
https://www.nature.com/commsbio/ ↗ - DOI:
- 10.1038/s42003-018-0231-3 ↗
- Languages:
- English
- ISSNs:
- 2399-3642
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12692.xml