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Parkinson, E. I.

Publications and source records attributed to Parkinson, E. I..

8 recordsLinked to original sources

Tertiary structure of a Nif11-like leader peptide mediates protein-protein interactions with a RiPP biosynthetic enzyme

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are produced from precursor peptides that typically contain a short, unstructured N-terminal leader region that engages RiPP biosynthetic enzymes through peptide-protein contacts. A distinct subclass of leader peptides, the nitrogen-fixing protein 11-like leader peptides (Nif11-LPs), are unusually long and conspicuously enriched in cyanobacteria. No atomic structures of Nif11-LPs have been reported. Here, we report the solution structure of MppEleader, a Nif11-LP from the marine cyanobacterium Moorena producens PAL. MppEleader adopts a bipartite architecture with a rigid N-terminal tetrahelical bundle stabilized around a hydrophobic nucleus, followed by a dynamic, largely disordered C-terminal region containing a conserved L(X)L motif. We show that the -ketoglutarate/non-heme iron enzyme MppG dihydroxylates the macrocyclized MppEcore peptide in a strictly leader-dependent manner. NMR titrations and structure-guided mutagenesis demonstrate that both the tetrahelical hydrophobic nucleus and the L(X)L motif of MppE make direct, functionally required contacts with MppG, including its RiPP recognition element (RRE) domain. An AlphaFold3-guided structural model rationalizes these contacts. Together, these findings establish a tertiary structure-dependent protein-protein interaction paradigm for RiPP core peptide modification, distinguishing Nif11-LP recognition from canonical short-leader mechanisms and expanding the understanding of substrate recognition in RiPP biosynthesis.

biochemistry↗

DAP-seq Reveals Cluster-Situated Regulator Control of Numerous Streptomyces Natural Product Biosynthetic Genes

Natural products (NPs) are a rich source of therapeutic and agricultural compounds. Unfortunately, many promising metabolites are not expressed under standard laboratory conditions. Deepening our understanding of the regulatory networks governing NP biosynthetic genes is essential for unlocking this hidden chemical diversity. Cluster-situated regulators (CSRs) are transcription factors involved in the regulation of NPs, but their full regulatory range has remained elusive due to limited genome-wide data. Using DNA Affinity Purification Sequencing (DAP-seq), we defined the predicted regulons for 84 CSR homologs across 78 Streptomyces strains. CSRs in this cohort exerted influence across multiple cellular processes, with particularly strong impacts on other transcription factors throughout the genome. Approximately 30% of predicted NP biosynthetic gene clusters (BGCs) contained CSR-regulated genes. In strains encoding multiple CSR homologs, we observed substantial overlap in BGC regulation. Together, these results greatly expand the genomic landscape of CSR activity and provide a foundation for improved bioinformatic strategies to predict and interpret regulatory control of NP biosynthesis.

genetics↗

Streptomyces Autoregulator Biosensors from Natural Product Cluster-Situated Regulators

The soil dwelling bacteria Streptomyces is an abundant producer of numerous anticancer, antifungal, and antibiotic compounds (i.e. Natural Products, NPs). The sophisticated cellular machinery required to produce NPs is frequently regulated by quorum-sensing systems, consisting of cluster situated regulators (CSRs), such as TetR-like repressors, and small-molecule autoregulator (AR) ligands. Only a small fraction of bioinformatically predicted quorum-sensing AR circuits have been experimentally determined, and fewer still have been engineered as inducible expression systems for synthetic biology. This research details the development of eight CSR-based AR biosensors and the synthetic routes to their AR ligands. Overall, the AR biosensors exhibit a range of maximum activation, AR affinity, and AR selectivity. We examined crosstalk between noncognate CSRs and ARs, as well as the ability of CSRs to regulate alternative operators. Additionally, we establish these biosensors can be cocultured with Streptomyces for rapid analysis of AR production. Finally, we demonstrate the CSR-based biosensor vectors can be combined to create orthogonal signaling systems in bacterial coculturing or multi-input genetic circuits. Longterm, these Streptomyces AR biosensors will contribute to the elucidation of small molecule quorum sensing circuits employed by Streptomyces as well as increasing the complexity of genetic circuits used in industrial or agricultural settings.

synthetic biology↗

Discovery of Chirally-dependent Protein O-2-Hydroxyglutarylation by D2HG and L2HG

Mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2 are common in multiple types of human cancer, leading to the accumulation of D-2-hydroxyglutarate (D2HG) and the promotion of tumorigenesis1. Here we discovered a novel O-2- hydroxyglutarylation by D2HG using chemical proteomics and further revealed distinct chiral preferences for D/L2HG modifications. Notably, we identified two kinases, MRCKA and SLK, modified by D2HG and L2HG respectively, and detected reduced phosphorylation of their substrates, suggesting an inhibitory effect of D/L 2HG modifications on the kinases activity.

biochemistry↗

Biocatalytic Tetrapeptide Macrocyclization by Cryptic Penicillin-binding Protein-type Thioesterases

Cyclic tetrapeptides (CTPs) are a diverse class of natural products with a broad range of biological activities. However, they are challenging to synthesize due to the ring strain associated with their small ring size. While chemical methods have been developed to access CTPs, they generally require the presence of certain amino acids, limiting their substrate scopes. Herein, we report the first bioinformatics-guided discovery of a thioesterase from a cryptic biosynthetic gene cluster for peptide cyclization. Specifically, we hypothesized that predicted penicillin-binding type thioesterases (PBP-TEs) from cryptic nonribosomal peptide synthetase (NRPS) gene clusters containing four adenylation domains would catalyze tetrapeptide cyclization. We found that one of the predicted PBP-TEs, WP516, efficiently cyclizes a wide variety of tetrapeptide substrates. To date, it is only the second stand-alone enzyme capable of cyclizing tetrapeptides, and its substrate scope greatly surpasses that of the only other reported tetrapeptide cyclase Ulm16. AlphaFold modeling, covalent docking, molecular dynamics, and mutational analyses were used to rationalize the broad substrate scope of WP516. Overall, the bioinformatics guided workflow outlined in this paper, and the discovery of WP516, represent promising tools for the biocatalytic production of head-to-tail CTPs, as well as a more general strategy for discovery of enzymes for peptide cyclization.

biochemistry↗

Discovery of cyclic peptide natural product inhibitors of Balamuthia mandrillaris

Balamuthia mandrillaris is a pathogenic free-living amoeba that causes infection of central nervous system, called Balamuthia amoebic encephalitis (BAE), as well as cutaneous and systemic diseases. Patients infected with B. mandrillaris have a high mortality rate due to the lack of effective treatments. A combination of non-optimized antimicrobial drug regimen is typically recommended; however, they have poor parasite activity and can cause various severe side effects. Cyclic peptides exhibit a broad spectrum of antimicrobial activities and lower cytotoxicity. In this study, we evaluated the anti-B. mandrillaris effect of cyclic peptides. The predicted natural product-43 (pNP-43), identified from the SNaPP (Synthetic Natural Product Inspired Cyclic Peptides) library, and its derivates displayed a significant inhibition for B. mandrillaris trophozoites. Eight pNPs had IC50s <5 M. Furthermore, all hit pNPs demonstrated minimal hemolytic and cytotoxic effects on human cells. Our study first indicates the anti-B. mandrillaris effect of cyclic peptides, which provides a new direction for drug development. Further studies of the mechanism of action and in vivo effects will be elucidated to confirm the potency as a treatment for B. mandrillaris infection in the future.

pharmacology and toxicology↗

The target gene regulatory network of miR-497 in angiosarcoma

Angiosarcoma (AS) is a vascular sarcoma that is highly aggressive and metastatic. Due to its rarity, treatment options for patients are limited, therefore more research is needed to identify possible therapeutic vulnerabilities. We previously found that conditional deletion of Dicer1 drives AS development in mice. Given the role of DICER1 in canonical microRNA (miRNA) biogenesis, this suggests that miRNA loss is important in AS development. After testing miRNAs previously suggested to have a tumor-suppressive role in AS, microRNA-497-5p (miR-497) suppressed cell viability most significantly. We also found that miR-497 overexpression led to significantly reduced cell migration and tumor formation. To understand the mechanism of miR-497 in tumor suppression, we identified clinically relevant target genes using a combination of RNA-sequencing data in an AS cell line, expression data from AS patients, and target prediction algorithms. We validated miR-497 direct regulation of CCND2, CDK6, and VAT1. One of these genes, VAT1, is an understudied protein that has been suggested to promote cell migration and metastasis in other cancers. Indeed, we find that pharmacologic inhibition of VAT1 with the natural product Neocarzilin A reduces AS migration. This work provides insight into the mechanisms of miR-497 and its target genes in AS pathogenesis.

cancer biology↗

Synthetic Natural Product-Inspired Peptides

Natural products (NPs) are a bountiful source of bioactive molecules. Unfortunately, discovery of novel bioactive NPs is challenging due to cryptic biosynthetic gene clusters (BGCs), low titers, and arduous purifications. Herein, we describe SNaPP (Synthetic Natural Product Inspired Peptides), a method for identifying NP-inspired bioactive molecules. SNaPP expedites bioactive molecule discovery by combining bioinformatics predictions of non-ribosomal peptide synthetases (NRPS) with chemical synthesis of the predicted NPs (pNPs). SNaPP utilizes a recently discovered cyclase, the penicillin binding protein (PBP)-like cyclase, as the lynchpin for the development of a library of cyclic peptide pNPs. Analysis of 500 BGCs allowed for identification of 131 novel pNPs. 51 diverse pNPs were synthesized using solid phase peptide synthesis and in-solution cyclization. Antibacterial testing revealed 14 pNPs with antibiotic activity, including activity against multidrug-resistant Gram-negative bacteria. Overall, SNaPP demonstrates the power of combining bioinformatics predictions with chemical synthesis to accelerate the discovery of bioactive molecules.

microbiology↗