Proteome-wide landscape of solubility limits in a bacterial cell

Enhancing Protein Solubility via Glycosylation: From Chemical Synthesis to Machine Learning Predictions

Glycosylation is a valuable tool for modulating protein solubility; however, the lack of reliable research strategies has impeded efficient progress in understanding and applying this modification. This study aimed to bridge this gap by investigating the solubility of a model glycoprotein molecule, the carbohydrate-binding module (CBM), through a two-stage process. In the first stage, an approach involving chemical synthesis, comparative analysis, and molecular dynamics simulations of a library of glycoforms was employed to elucidate the effect of different glycosylation patterns on solubility and the key factors responsible for the effect. In the second stage, a predictive mathematical formula, innovatively harnessing machine learning algorithms, was derived to relate solubility to the identified key factors and accurately predict the solubility of the newly designed glycoforms. Demonstrating feasibility and effectiveness, this two-stage approach offers a valuable strategy for advancing glycosylation research, especially for the discovery of glycoforms with increased solubility.

Study on the properties of a dual-system-based protein scaffold for orthogonal self-assembly

Protein scaffolds possessing the ability to efficiently organize enzymes to improve the catalytic performance, enzyme stability and provide an optimal micro-environment for biocatalysis. Here, SpyCatcher fused to the C-terminus of Treptavidin (a variant of streptavidin) to construct a chimeric tetramers protein scaffold (Tr-SC) with dual orthogonal conjugation moieties. The results showed that the expressed Tr-SC scaffold was an active tetramer with good stability under 80 °C and pH 6.5-8.5, which could bind 4 SpyTag-mCherry and 4 Biotin-EGFP. Tr-SC scaffold can bind 1-4 ligands alone under different conditions. The order in which protein scaffolds bind to proteins has little effect on the final complex structure. It is more difficult for SpyTag-mCherry than Biotin-EGFP to bind to Tr-SC, so incomplete conjugates of a hexameric complex composed of 2 SpyTag-mCherry and 4 Biotin-EGFP form when the molar ratio of scaffold and two ligands is 1:4:4. Therefore, it was suggest that the Tr-SC can first bind to excess SpyTag-protein and mixed with Biotin-protein to promote the formation of higher multimers. The results can be important reference for more extensive use of Tr-SC to construct heterologous protein polymers and assembly of heterologous enzyme molecular machine in vitro to carry on efficient cascade reaction in the future.

Correlation between protein abundance and sequence conservation: what do recent experiments say?

Cells evolve in a space of parameter values set by physical and chemical forces. These constraints create associations among cellular properties. A particularly strong association is the negative correlation between the rate of evolution of proteins and their abundance in the cell. Highly expressed proteins evolve slower than lowly expressed ones. Multiple hypotheses have been put forward to explain this relationship, including, for instance, the requirement for higher mRNA stability, misfolding avoidance, and misinteraction avoidance for highly expressed proteins. Here, we review some of these hypotheses, their predictions, and how they are supported to finally discuss recent experiments that have been performed to test these predictions.