New Proteomics Method Enables Sensitive Identification of Ligand-binding Proteins and Their Binding Sites in Complex System
Researchers developed a highly sensitive proteomics method called peptide-centric local stability assay (PELSA), which enables the simultaneous identification of ligand-binding proteins and their binding sites in complex systems.
The biochemical functions of proteins invariably involve interactions with ligands of some type, which act as enzyme substrates or inhibitors, signaling molecules, allosteric modulators, structural anchors, etc. Monitoring protein-ligand interactions is thus essential for characterizing proteins with unknown functions, for investigating regulatory mechanisms in cell metabolism, and for elucidating drug mechanisms of action. Knowledge of the ligand-binding regions is also extremely valuable for structure-based drug design and biological hypothesis generation.Traditional methods for determining binding sites and affinities typically require the purification of recombinant proteins, which can be both time-consuming and labor-intensive. Additionally, purified proteins may not fully replicate their native cellular state, resulting in inaccurate affinity measurements due to differences in protein conformations, post-translational modifications, or associated proteins. Modification-based proteomics methods offer a powerful solution for identifying ligand-binding proteins and their sites directly in native cellular lysates. However, they often require ligand modification, which can affect ligand activity and can not be applicable to ligands that cannot be modified.Recently, a research group led by Prof. YE Mingliang from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences (CAS), in collaboration with Prof. LUO Cheng's group from the Shanghai Institute of Materia Medica of CAS, developed a highly sensitive proteomics method called peptide-centric local stability assay (PELSA), which enables the simultaneous identification of ligand-binding proteins and their binding sites in complex systems.PELSA overcomes the above limitations by directly detecting ligand-induced local stability shifts forof proteins in total cell lysate, without the need for chemical modification of ligands. It is broadly applicable to diverse ligands, including metabolites, drugs, and pollutants. This approach allows for systematic analysis of ligand-binding proteins, their binding sites, and local binding affinities in cell lysate, where proteins carry physiological post-translational modifications and are associated with interacting proteins.The study was published in Nature Methods.PELSA allows for systematic analysis of ligand-binding proteins, their binding sites, and local binding affinities in cell lysate (Image by LI Kejia)The researchers found that using a large amount of trypsin to directly digest proteins under native conditions amplified the readout of local stability changes caused by ligand binding. This discovery led to the development of the PELSA method. This method was found to have superior sensitivity in target protein identifications. For example, in identifying the target proteins of a pan-kinase inhibitor staurosporine, PELSA showed a 12-fold increase in kinase target identification compared to the state-of-art modification-free method, LiP-MS. Compared to the widely used thermal proteome profiling (TPP) technique, which lacks binding site information, PELSA identified 2.4-fold more kinase targets. Dose-dependent PELSA experiments can also measure local affinity, providing insights into the dynamic protein structural changes upon ligand binding under physiological conditions.The researchers demonstrated that PELSA can be applied to a wide range of ligands, including drugs, metal ions, post-translational modification peptides, and antibodies. The method consistently showed high sensitivity in identifying target proteins and pinpointing binding regions, highlighting its potential as a versatile platform for studying various ligand-protein interactions.Metabolites, known for their structural diversity and often low-affinityies binding to proteins, pose challenges for traditional methods. However, PELSA proved particularly effective for the systematic identification of metabolite-binding proteins. For example, PELSA identified 40 candidate target proteins for alpha-ketoglutarate in HeLa cell lysates, 30 of which were well-known binding proteins of alpha-ketoglutarate, demonstrating the method’s high sensitivity and reliability. Additionally, PELSA successfully indentified identified binding proteins for other metabolites, such as folate, leucine, fumarate, and succinate, showcasing its broad applicability.