Literature DB >> 28301074

High throughput inclusion body sizing: Nano particle tracking analysis.

Wieland N Reichelt1, Andreas Kaineder1, Markus Brillmann1, Lukas Neutsch2, Alexander Taschauer3, Hans Lohninger4, Christoph Herwig1,2.   

Abstract

The expression of pharmaceutical relevant proteins in Escherichia coli frequently triggers inclusion body (IB) formation caused by protein aggregation. In the scientific literature, substantial effort has been devoted to the quantification of IB size. However, particle-based methods used up to this point to analyze the physical properties of representative numbers of IBs lack sensitivity and/or orthogonal verification. Using high pressure freezing and automated freeze substitution for transmission electron microscopy (TEM) the cytosolic inclusion body structure was preserved within the cells. TEM imaging in combination with manual grey scale image segmentation allowed the quantification of relative areas covered by the inclusion body within the cytosol. As a high throughput method nano particle tracking analysis (NTA) enables one to derive the diameter of inclusion bodies in cell homogenate based on a measurement of the Brownian motion. The NTA analysis of fixated (glutaraldehyde) and non-fixated IBs suggests that high pressure homogenization annihilates the native physiological shape of IBs. Nevertheless, the ratio of particle counts of non-fixated and fixated samples could potentially serve as factor for particle stickiness. In this contribution, we establish image segmentation of TEM pictures as an orthogonal method to size biologic particles in the cytosol of cells. More importantly, NTA has been established as a particle-based, fast and high throughput method (1000-3000 particles), thus constituting a much more accurate and representative analysis than currently available methods.
Copyright © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Electron microscopy; Grey scale image segmentation; Inclusion body; Nano particle tracking analysis; Stickiness

Mesh:

Substances:

Year:  2017        PMID: 28301074     DOI: 10.1002/biot.201600471

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  2 in total

1.  Custom made inclusion bodies: impact of classical process parameters and physiological parameters on inclusion body quality attributes.

Authors:  Christoph Slouka; Julian Kopp; Stefan Hutwimmer; Michael Strahammer; Daniel Strohmer; Elisabeth Eitenberger; Andreas Schwaighofer; Christoph Herwig
Journal:  Microb Cell Fact       Date:  2018-09-20       Impact factor: 5.328

2.  Tracking Nanoparticle Degradation across Fuel Cell Electrodes by Automated Analytical Electron Microscopy.

Authors:  Haoran Yu; Michael J Zachman; Kimberly S Reeves; Jae Hyung Park; Nancy N Kariuki; Leiming Hu; Rangachary Mukundan; Kenneth C Neyerlin; Deborah J Myers; David A Cullen
Journal:  ACS Nano       Date:  2022-07-22       Impact factor: 18.027

  2 in total

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