Supramolecular Polymeric Assemblies for the Selective Depletion of Abundant Acidic Proteins in Serum

Enzyme Catalysis in Non-Native Environment with Unnatural Selectivity Using Polymeric Nanoreactors

The utilization of enzymes for catalysis in organic solvents, while exhibiting selectivity to different substrates, is a big challenge. We report an amphiphilic random copolymer system that self-assembles with enzymes in an organic solvent to form nanoreactors. These encapsulated enzymes are not denatured and they do preserve the catalytic activity. The cross-linkable functional groups in the hydrophobic compartments of the polymers offer to control accessibility to the enzyme. This varied accessibility due to the polymer host, rather than the enzyme itself, endows the nanoreactor with an unnatural selectivity. The findings here highlight the significant potential of simple polymer-based enzyme nanoreactors to execute selective organic reactions under non-native conditions.

Polymeric nanoassemblies for enrichment and detection of peptides and proteins in human breast milk

Human breast milk is an understudied biological fluid that may be useful for early detection of breast cancer. Methods for enriching and detecting biomarkers in human breast milk, however, are not as well-developed as compared with other biological fluids. In this work, we demonstrate a new enrichment method based on polymeric nanoassemblies that is capable of enhancing the mass spectrometry-based detection of peptides and proteins in human breast milk. In this method, positively charged nanoassemblies are used to selectively deplete abundant proteins in milk based on electrostatic interactions, which simplifies the mixture and enhances detection of positively charged peptides and proteins. Negatively charged nanoassemblies are used in a subsequent enrichment step to further enhance the detection and quantification of trace-level peptides and proteins. Together the depletion and enrichment steps allow model biomarkers to be detected at low nM levels, which are close to instrumental limits of detection. This new method not only demonstrates the ability to detect proteins in human breast milk but also provides an alternative approach for targeted protein detection in complex biological matrices. Graphical abstract.

Efficient enrichment of glycopeptides by supramolecular nanoassemblies that use proximity-assisted covalent binding

Mass spectrometry (MS)-based analysis of glycoproteins and glycopeptides requires selective separation strategies to eliminate interferences from more abundant non-glycosylated biomolecules. In this work, we describe a two-phase liquid-liquid extraction method using supramolecular polymeric nanoassemblies that can selectively and efficiently enrich glycopeptides for enhanced MS detection. The polymeric nanoassemblies are made selective for glycopeptides via the incorporation of hydrazide functional groups that covalently bind to glycans. The enrichment efficiency is further enhanced via the incorporation of acidic functional groups that lead to a proximity-assisted catalysis of the hydrazide-glycan conjugation reaction. Our results further demonstrate the value of designer supramolecular nanomaterials for the selective enrichment of modified peptides from complicated mixtures.

Plasma/serum proteomics: depletion strategies for reducing high-abundance proteins for biomarker discovery

Plasma and serum are widely used for proteomics-based biomarker discovery. However, analysis of these biofluids is highly challenging due to the complexity and wide dynamic range of their proteomes. Notably, highly abundant proteins tend to obscure the detection of potential biomarkers that are usually of lower concentrations. Among the strategies to resolve this problem are: depletion of high-abundance proteins, enrichment of low abundant proteins of interest and prefractionation. In this review, we focus on current and emerging depletion techniques used to enhance the detection and identification of the less abundant proteins in plasma and serum. We discuss the applications and contributions of these methods to proteomics analysis of plasma and serum alongside their limitations and future perspectives.