Methods in molecular biology
-
Bioluminescence resonance energy transfer (BRET) is a prominent biophysical technology for monitoring molecular interactions, and has been widely used to study protein-protein interactions (PPI) in live cells. This technology requires proteins of interest to be associated with an energy donor (i.e., luciferase) and an acceptor (e.g., fluorescent protein) molecule. Upon interaction of the proteins of interest, the donor and acceptor will be brought into close proximity and energy transfer of chemical reaction-induced luminescence to its corresponding acceptor will result in an increased emission at an acceptor-defined wavelength, generating the BRET signal. ⋯ We term this NLuc-based BRET platform "BRET(n)". BRET(n) has been demonstrated to have significantly improved assay performance, compared to previous BRET technologies, in terms of sensitivity and scalability. This chapter describes a step-by-step practical protocol for developing a BRET(n) assay in a multi-well plate format to detect PPIs in live mammalian cells.
-
This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.
-
Autoantibodies against myelin oligodendrocyte glycoprotein (MOG) occur in a proportion of patients with different inflammatory demyelinating diseases of the central nervous system, such as childhood multiple sclerosis (MS), acute disseminated encephalomyelitis (ADEM), and neuromyelitis optica spectrum disorders (NMOSD). We describe here in detail a sensitive cell-based assay that allows the identification of autoantibodies against MOG in serum.
-
In recent years, mass spectrometry-based phosphoproteomics has propelled our knowledge about the regulation of cellular pathways. Nevertheless, typically applied bottom-up strategies have several limitations. Trypsin, the preferentially used proteolytic enzyme shows impaired cleavage efficiency in the vicinity of phosphorylation sites. ⋯ To overcome these limitations, we introduce an alternative and simple approach based on the usage of the nonspecific serine protease subtilisin, which enables a fast and reproducible digestion and provides access to "hidden" areas of the proteome. Thus, in a single LC-MS experiment >1800 phosphopeptides were confidently identified and localized from 125 μg of HeLa digest, compared to >2100 sites after tryptic digestion. While the overlap was less than 20 %, subtilisin allowed the identification of many phosphorylation sites that are theoretically not accessible via tryptic digestion, thus considerably increasing the coverage of the phosphoproteome.
-
A high number of infectious diseases affecting livestock and companion animals are caused by pathogens of viral etiology. Ensuring the maximum standards of quality and welfare in animal production requires developing effective tools to halt and prevent the spread of those infectious diseases affecting animal husbandry. ⋯ One step ahead is needed to improve and adapt vaccine manufacturing to the use of new generation vaccine technologies already tested in experimental settings. Here we present in the context of animal viral diseases of veterinary interest, an overview of some current vaccine technologies that can be approached for virus pathogens with a brief insight in the type of immunity elicited.