Quantifying Protein–Protein Interactions in the Ubiquitin Pathway by Surface Plasmon Resonance

Design and synthesis of tripeptidyl furylketones as selective inhibitors against the β5 subunit of human 20S proteasome

A series of tripeptidic proteasome inhibitors with furylketone as C-terminus were designed and synthesized. Biochemical evaluations against β1, β2 and β5 subunits revealed that they acted selectively on β5 subunit with IC₅₀s against chymotrypsin-like (CT-L) activity in micromolar range. LC-MS/MS analysis of the ligand-20S proteasome mixture showed that the most potent compound 11m (IC₅₀ = 0.18 μM) made no covalent modification on 20S proteasome. However, it was identified acting in a slowly reversible manner in wash-out assay and the reversibility was much lower than that of MG132, suggesting the possibility of these tripeptidic furylketones forming reversible covalent bonds with 20S proteasome. Several compounds were selected for anti-proliferative assay towards multiple cancer cell lines, and compound 11m displayed comparable potency to positive control (MG132) in all cell lines tested. Furthermore, the pharmacokinetic (PK) data in rats indicated 11m behaved similarly (C_max, 2007 μg/L; AUC_0-t, 680 μg/L·h; V_ss, 0.66 L/kg) to the clinical used agent carfilzomib. All these data suggest 11m is a good lead compound to be developed to novel anti-tumor agent.

Quantification of Recombinant Products in Yeast

Quantification of various proteins expressed in yeast can be performed by different methods. In this respect, classical as well as advanced techniques can be applied, where the analysis of crude supernatants is of special interest in screening but also manufacturing.The following chapter addresses the analytical background of the introduced methods followed by specific recommendations for the quantification of different products of industrial interest. The method portfolio includes electrophoresis, chromatography, and ELISA as classical techniques, but also biosensor-based, microfluidic and automated, miniaturized methods are introduced. Furthermore, individual strengths and perceived limitations are summarized.Although prominent examples are described, it should be noted that individual modifications are required according to host and cultivation mode.

Advances in Polymer and Polymeric Nanostructures for Protein Conjugation

Linear polymers have been considered the best molecular structures for the formation of efficient protein conjugates due to their biological advantages, synthetic convenience and ease of functionalization. In recent years, much attention has been dedicated to develop synthetic strategies that produce the most control over protein conjugation utilizing linear polymers as scaffolds. As a result, different conjugate models, such as semitelechelic, homotelechelic, heterotelechelic and branched or star polymer conjugates, have been obtained that take advantage of these well-controlled synthetic strategies. Development of protein conjugates using nanostructures and the formation of said nanostructures from protein-polymer bioconjugates are other areas in the protein bioconjugation field. Although several polymer-protein technologies have been developed from these discoveries, few review articles have focused on the design and function of these polymers and nanostructures. This review will highlight some recent advances in protein-linear polymer technologies that employ protein covalent conjugation and successful protein-nanostructure bioconjugates (covalent conjugation as well) that have shown great potential for biological applications.

Survey of the year 2005 commercial optical biosensor literature

We identified 1113 articles (103 reviews, 1010 primary research articles) published in 2005 that describe experiments performed using commercially available optical biosensors. While this number of publications is impressive, we find that the quality of the biosensor work in these articles is often pretty poor. It is a little disappointing that there appears to be only a small set of researchers who know how to properly perform, analyze, and present biosensor data. To help focus the field, we spotlight work published by 10 research groups that exemplify the quality of data one should expect to see from a biosensor experiment. Also, in an effort to raise awareness of the common problems in the biosensor field, we provide side-by-side examples of good and bad data sets from the 2005 literature.