Biology subjects

Ing, G.

Publications and source records attributed to Ing, G..

3 recordsLinked to original sources

bioRxiv2024

Imaging Abeta aggregation by liquid-phase transmission electron microscopy

The amyloid beta peptide (A{beta}) readily aggregates into amyloid fibrils. This process has been the subject of intense investigations since it is associated with Alzheimers disease. However, it has been highly challenging to observe the microscopic steps in the aggregation reaction directly and to characterize the oligomeric assemblies formed as intermediates. To achieve this goal, we apply liquid-phase transmission electron microscopy (LTEM) in combination with all-atom molecular dynamics simulations. Our results offer an initial visualization of the dynamics of A{beta} oligomers, the formation of A{beta} protofibrils, and the presence of A{beta} oligomers on the surface of A{beta} fibrils. This work illustrates how the application of LTEM to the study of protein aggregation in solution enables the imaging of key molecular events in the aggregation process of A{beta}.

biophysics↗

bioRxiv2023

SimpliPyTEM: An open-source Python library and app to simplify Transmission Electron Microscopy and in situ-TEM image analysis.

Introducing SimpliPyTEM, a Python library and accompanying GUI that simplifies the post-acquisition evaluation of transmission electron microscopy (TEM) images, helping streamline the workflow. After an imaging session, a folder of image and/or video files, typically containing low contrast and large file size 32-bit images, can be quickly processed via SimpliPyTEM into high-quality, high-contrast .jpg images with suitably sized scale-bars. The app can also generate HTML or PDF files containing the processed images for easy viewing and sharing. Additionally, SimpliPyTEM has a specific focus on in situ TEM videos, an emerging field of EM, allowing for fast data processing into preview movies, averages, image series, or motion corrected averages using MotionCor2. The accompanying Python library offers many standard image processing methods, all simplified to a single command, plus a module to analyse particle morphology and population. This latter application is particularly useful for life sciences investigations. User-friendly tutorials and clear documentation are included to help guide users through the processing and analysis. We invite the EM community to contribute to and further develop this open-source package.

biophysics↗

bioRxiv2021

Imaging protein conformational space in liquid water

Withdrawal StatementThe authors have withdrawn their manuscript owing to a mistake in one of the proteins used for the data used to generate Fig.1, where we believed we used the apoferritin but instead used the ferritin proteins. Therefore, the authors do not wish this work to be cited as a reference for the project. If you have any questions, please get in touch with the corresponding author.

biophysics↗