Biology subjects

Amacher, J. F.

Publications and source records attributed to Amacher, J. F..

5 recordsLinked to original sources

bioRxiv2026

Amino acid variants at the P94 position in Staphylococcus aureus class A sortase modulate substrate binding and enzyme activity

The surface of gram-positive bacteria is a highly regulated environment with specific attachment of proteins required for viability. Sortase enzymes are cysteine transpeptidases that recognize and ligate substrates to the peptidoglycan layer in these microorganisms, which can be highly pathogenic (e.g., Staphylococcus aureus, Streptococcus pyogenes, etc.). As such, sortases represent a potentially novel target for antibiotic development. In addition, the catalytic activity of sortase enzymes is utilized in sortase-mediated ligation (SML) engineering approaches for a variety of uses. In SML experiments, engineered variants of Staphylococcus aureus sortase A (saSrtA) are the most widely used enzymes. One of the mutated amino acids in the previously engineered pentamutant (or saSrtA5M) enzyme is P94. Structural analyses of experimental saSrtA structures revealed that P94 interacts directly with Y187 when saSrtA is in its inactive conformation. While saSrtA5M, developed via directed evolution, contains a P94R mutation, we wanted to interrogate this position further and ask if other single P94 mutations may reveal a greater effect on activity and/or substrate specificity. We created 18 P94X mutations (excluding P94C), and tested relative activity using a fluorescence resonance energy transfer (FRET) assay for 4 substrate sequences: LPATG, LPETG, LPKTG, and LPSTG. We identified several P94 variants that outperformed the single mutant P94R for all peptides tested, including P94A, P94D, P94E, P94G, P94H, P94N, P94Q, P94S, and P94T. We further observed that the reactivity of substrates with variations in the central position of the pentapeptide recognition motif (LPXTG) can be sensitive to the identity of the P94X residue. We tested P94A and P94D saSrtA5M variants and found that, depending on LPXTG sequence, these variants could outperform saSrtA5M in activity > 3-fold. Finally, we compared saSrtA5M and P94D saSrtA5M in a model sortase-mediated ligation reaction using a LPKTG substrate and saw [~]2-fold greater product formation. Taken together, we characterized an important position that modulates substrate access and activity in saSrtA. Furthermore, we argue that future studies which combine rational design and high throughput approaches, e.g., directed evolution, may result in sortase variants with increased SML potential.

biochemistry↗

bioRxiv2025

Sequence engineering at non-motif modulator residues yields a peptide that effectively targets a single PDZ protein in a disease-relevant cellular context

Highlights- PDZ domains are critical components of many cellular, disease-relevant systems - Overlapping specificity complicates selective targeting of PDZ interaction networks - We engineered a single-PDZ peptide inhibitor using non-motif preferences - Mass-spectrometry based experiments confirm single-PDZ binding - Our inhibitor increases chloride efflux in a cystic fibrosis cellular model PDZ interaction networks are finely-tuned products of evolution. These widespread binding domains recognize short linear motifs (SLiMs), usually at the C-terminus of their interacting partners, and are involved in trafficking and signaling pathways, the formation of tight junctions, and scaffolding of the post-synaptic density of neurons, amongst other roles. Typically, a single PDZ domain binds multiple targets; conversely, each PDZ-binding protein engages several PDZ domains, dependent on cellular conditions. Historical PDZ binding motifs rely on two key positions for binding. However, previous insights on modulator, or non-motif, selectivity preferences reveal that these limited motifs are insufficient to describe PDZ-mediated interactomes, consistent with the observation that the degree of promiscuity is much more limited than predicted by defined binding classes. Here, we use these principles to engineer and test a peptide-based inhibitor capable of interacting with a single PDZ domain-containing protein in a disease-relevant cellular system. We first interrogate a previously developed sequence selective for cystic fibrosis transmembrane conductance regulator (CFTR)-Associated Ligand (CAL), one of five PDZ domains known to bind the CFTR C-terminus, probing for off-target PDZ partners. Once identified, we use parallel biochemical and structural refinement to eliminate these interactions and introduce a CAL PDZ inhibitor with unprecedented PDZ domain selectivity. We test and verify specificity using relevant cellular PDZ target networks in a mass spectrometry-based approach. Our resultant selective inhibitor enhances chloride efflux when applied to polarized patient bronchial epithelial cells, as well as confirms that engineering an effectively single-PDZ peptide is possible when modulator preferences are applied.

biochemistry↗

bioRxiv2022

Saturation mutagenesis of a predicted ancestral Syk-family kinase

Many tyrosine kinases cannot be expressed readily in E. coli, limiting facile production of these proteins for biochemical experiments. We used ancestral sequence reconstruction to generate a spleen tyrosine kinase (Syk) variant that can be expressed in bacteria and purified in soluble form, unlike the human members of this family (Syk and ZAP-70). The catalytic activity, substrate specificity, and regulation by phosphorylation of this Syk variant are similar to the corresponding properties of human Syk and ZAP-70. Taking advantage of the ability to express this novel Syk-family kinase in bacteria, we developed a two-hybrid assay that couples the growth of E.coli in the presence of an antibiotic to successful phosphorylation of a bait peptide by the kinase. Using this assay, we screened a site-saturation mutagenesis library of the kinase domain of this reconstructed Syk-family kinase. Sites of loss-of-function mutations identified in the screen correlate well with residues established previously as critical to function and/or structure in protein kinases. We also identified activating mutations in the regulatory hydrophobic spine and activation loop, which are within key motifs involved in kinase regulation. Strikingly, one mutation in an ancestral Syk-family variant increases the soluble expression of the protein by 75-fold. Thus, through ancestral sequence reconstruction followed by deep mutational scanning, we have generated Syk-family kinase variants that can be expressed in bacteria with very high yield.

biochemistry↗

bioRxiv2021

A second specificity-determining loop in Class A sortases: Biochemical characterization of natural sequence variation in chimeric SrtA enzymes

Gram-positive bacteria contain sortase enzymes on their cell surfaces that catalyze transpeptidation reactions critical for proper cellular function. In vitro, sortases are used in sortase-mediated ligation (SML) reactions for a variety of protein engineering applications. Historically, sortase A from Staphylococcus aureus (saSrtA) has been the enzyme of choice for SML reactions. However, the stringent specificity of saSrtA for the sequence motif LPXTG limits its uses. Here, we use principal component analysis to identify a structurally conserved loop with a high degree of variability in all classes of sortases. We investigate the contribution of this {beta}7-{beta}8 loop, located between the catalytic cysteine and arginine residues and immediately adjacent to the target binding cleft, by designing and testing chimeric sortase enzymes. Our chimeras utilize natural sequence variation of Class A sortases from 8 species engineered into the SrtA sequence from Streptococcus pneumoniae (spSrtA). While some of our chimeric enzymes mimic the activity and selectivity of the wild-type protein from which the loop sequence is derived (e.g., that of saSrtA), others result in chimeric spSrtA enzymes able to accommodate a range of residues in the final position of the substrate motif (LPXTX). Using mutagenesis, structural, and sequence analyses, we identify three interactions facilitated by {beta}7-{beta}8 loop residues that appear to be broadly characteristic of Class A sortase enzymes. These studies provide the foundation for a deeper understanding of sortase target selectivity and can expand the sortase toolbox for future SML applications.

biochemistry↗

bioRxiv2020

The evolution of non-motif selectivity determinants in Monosiga brevicollis PDZ domains

The evolution of signaling pathways is complex and well-studied. In particular, the emergence of animal multicellularity had a major impact on protein-protein interactions and signaling systems in eukaryotic cells. However, choanoflagellates, our closest non-metazoan ancestor, contain a number of closely related signaling and trafficking proteins and domains. In addition, because choanoflagellates can adopt a rosette-/multicellular-like state, a lot can be gained by comparing proteins involved in choanoflagellate and human signaling pathways. Here, we look at how selectivity determinants evolved in the PDZ domain. There are over 250 PDZ domains in the human proteome, which are involved in critical protein-protein interactions that result in large multimolecular complexes, e.g., in the postsynaptic density of neuronal synapses. Binding of C-terminal sequences by PDZ domains is often transient and recognition typically involves 6 residues or less, with only 2 residues specifying the binding motif. We solved high resolution crystal structures of Monosiga brevicollis PDZ domains homologous to human Dlg1 PDZ2, Dlg1 PDZ3, GIPC, and SHANK1 PDZ domains to investigate if the non-motif preferences are conserved, despite hundreds of millions of years of evolution. We also calculated binding affinities for GIPC, SHANK1, and SNX27 PDZ domains from M. brevicollis. Overall, we found that peptide selectivity is conserved between these two disparate organisms, with one exception, mbDLG-3. In addition, we identify 178 PDZ domains in the M. brevicollis proteome, including 11 new sequences, which we verified using Rosetta and homology modeling. Overall, our results provide novel insight into signaling pathways in the choanoflagellate organism.

biochemistry↗