A protocol for recombinant protein quantification by densitometry

Abstract:

The protein purity is generally checked using SDS-PAGE, where densitometry could be used to quantify the protein bands. In literature, few studies have been reported using image analysis for the quantification of protein in SDS-PAGE: that is, imaged with Stain-Free™ technology. This study presents a protocol of image analysis for electrophoresis gels that allows the quantification of unknown proteins using the molecular weight markers as protein standards. Escherichia coli WK6/pHEN6 encoding the bispecific nanobody CH10-12 engineered by the Pasteur Institute of Tunisia was cultured in a bioreactor and induced with isopropyl β-D-1-thiogalactopyranoside (IPTG) at 28°C for 12 hr. Periplasmic proteins extracted by osmotic shock were purified by immobilized metal affinity chromatography (IMAC). Images of the SDS-PAGE gels were analyzed using ImageJ, and the lane profiles were obtained in grayscale and uncalibrated optical density. Protein load and peak area were linearly correlated, and optimal image processing was then performed by background subtraction using the rolling ball algorithm with radius size 250 pixels. No brightness and contrast adjustment was applied. The production of the nanobody CH10-12 was obtained through a fed-batch strategy and quantified using the band of 50 kDa in the marker as reference for 750 ng of recombinant protein. The molecular weight marker was used as a sole protein standard for protein quantification in SDS-PAGE gel images.

Citation: MicrobiologyOpen 9(6):1175-1182

Date Published: 1st Jun 2020

Registered Mode: by DOI

Authors: Susana María Alonso Villela, Hazar Kraïem, Balkiss Bouhaouala‐Zahar, Carine Bideaux, César Arturo Aceves Lara, Luc Fillaudeau

Citation
Alonso Villela, S. M., Kraïem, H., Bouhaouala‐Zahar, B., Bideaux, C., Aceves Lara, C. A., & Fillaudeau, L. (2020). A protocol for recombinant protein quantification by densitometry. In MicrobiologyOpen (Vol. 9, Issue 6, pp. 1175–1182). Wiley. https://doi.org/10.1002/mbo3.1027
Activity

Views: 81

Created: 17th Apr 2025 at 13:31

Last updated: 17th Apr 2025 at 13:36

help Attributions

None

Powered by
(v.1.16.2)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH
IBISBA is a pan-European research infrastructure that is currently funded by the EU Horizon 2020 projects
IBISBA 1.0 (grant agreement number 730976) and PREP-IBISBA (grant agreement number 871118).
Registering data or other knowledge assets on this platform is the sole responsibility of Users.
IBISBA cannot be held responsible for misuse or misappropriation of data and assets belonging to a Third Party..