Biology subjects

Hergenrother, P. J.

Publications and source records attributed to Hergenrother, P. J..

8 recordsLinked to original sources

bioRxiv2026

Fatty acid biosynthesis inhibitors fabimycin and triclosan trigger distinct resistance mutations in FabI and potently kill Gram-negative pathogens

In the effort to develop efficacious antibacterials that engage targets for which there is no pre-existing resistance, inhibition of the enoyl-acyl carrier protein reductase FabI has shown promise, with triclosan and fabimycin as representative members of the two major drug classes that show activity against important bacterial pathogens. Here, we use a morbidostat and whole genome sequencing to comprehensively evaluate the resistance profiles that arise in pathogenic bacteria in response to these FabI inhibitors. When assessed against E. coli, fabimycin and triclosan were found to induce primarily non-overlapping resistance profiles leading to minimal cross-resistance between the two compounds. Furthermore, in vivo evaluation of the prominent resistant mutants indicates poor fitness, with the most fit mutant still susceptible to fabimycin. Collectively, these results suggest the combination use of two antibiotics that engage different positions on the same target as a means to kill pathogenic bacteria and limit resistance.

microbiology↗

bioRxiv2025

Multicellular model of temozolomide resistance in glioblastoma reveals phenotypic shifts in drug response and migratory potential

Glioblastoma (GBM) is the most common and aggressive primary malignant brain tumor in adults, with limited survival outcomes due to tumor recurrence, mainly driven by GBM cell invasion and therapy resistance. Although temozolomide (TMZ) remains the standard-of-care chemotherapeutic, its long-term efficacy is often compromised by rapid emergence of acquired resistance, largely mediated by the DNA repair enzyme, methylguanine methyltransferase (MGMT). To investigate the interplay between tumor heterogeneity, drug resistance, and the extracellular matrix (ECM) microenvironment, we adapted a 3D methacrylamide-functionalized gelatin (GelMA) hydrogel model to study the behavior of mixed populations of TMZ-sensitive and TMZ-resistant GBM cells. Using both single-cell distributions and multicellular spheroids, we report the impact of heterogeneous cell populations and TMZ dosing regimens, including physiological, supraphysiological, and metronomic TMZ schedules, on drug response and migration. We show that the combination therapy of TMZ with an MGMT inhibitor, lomeguatrib, can modulate TMZ resistance in vitro. This hydrogel model enables systematic investigation of GBM heterogeneity, "go-or-grow" phenotypic plasticity, and therapeutic resistance in an ECM-rich microenvironment, offering a valuable platform for future translational research.

bioengineering↗

bioRxiv2023

Structures of the Staphylococcus aureus ribosome inhibited by fusidic acid and fusidic acid cyclopentane

The antibiotic fusidic acid (FA) is used to treat Staphylococcus aureus infections. It inhibits protein synthesis by binding to elongation factor G (EF-G) and preventing its release from the ribosome after translocation. While FA is only effective against gram-positive bacteria, the available structures of FA-inhibited complexes are from gram-negative model organisms. To fill this knowledge gap, we solved cryo-EM structures of the S. aureus ribosome in complex with mRNA, tRNA, EF-G and FA to 2.5 [A] resolution and the corresponding complex structures with the recently developed FA derivative FA-cyclopentane (FA-CP) to 2.0 [A] resolution. With both FA variants, the majority of the ribosomal particles are observed in chimeric hybrid state and only a minor population in post-translocational state. As expected, FA binds in a pocket between domains I, II and III of EF-G and the sarcin-ricin loop of 23S rRNA. FA-CP binds in an identical position, but its cyclopentane moiety provides additional contacts to EF-G and 23S rRNA, suggesting that its improved resistance profile towards mutations in EF-G is due to higher-affinity binding. These high-resolution structures reveal new details about the S. aureus ribosome, including confirmation of many rRNA modifications, and provide an optimal starting point for future structure-based drug discovery on an important clinical drug target.

molecular biology↗

bioRxiv2023

Re-education of myeloid immune cells to reduce regulatory T cell expansion and impede breast cancer progression

Immune checkpoint blockade (ICB) has revolutionized cancer therapy but has had limited utility in several solid tumors such as breast cancer, a major cause of cancer-related mortality in women. Therefore, there is considerable interest in alternate strategies to promote an anti-cancer immune response. We demonstrate that NR0B2, a protein involved in cholesterol homeostasis, functions within myeloid immune cells to modulate the NLRP3 inflammasome and reduce the expansion of immune-suppressive regulatory T cells (Treg). Loss of NR0B2 increased mammary tumor growth and metastasis. Small molecule agonists, including one developed here, reduced Treg expansion, reduced metastatic growth and improved the efficacy of ICB. This work identifies NR0B2 as a target to re-educate myeloid immune cells providing proof-of-principle that this cholesterol-homeostasis axis may have utility in enhancing ICB. Brief SummaryImmune therapy has been disappointing for breast cancer. NR0B2 within myeloid immune cells reduces the expansion of Tregs, a highly immune suppressive subtype historically challenging to target. NR0B2 within myeloid immune cells represses the inflammasome, leading to reduced Treg expansion and subsequent tumor growth/metastasis. Activation of NR0B2 with small molecule agonists, including one developed herein, attenuates tumor growth and metastasis in murine models of mammary cancer.

cancer biology↗

bioRxiv2021

Investigation of gating in outer membrane porins provides new perspectives on antibiotic resistance mechanisms

Gram-negative bacteria pose a serious public health concern, primarily due to a higher frequency of antibiotic resistance conferred to them as a result of low permeability of their outer membrane (OM). Antibiotics capable of traversing the OM typically permeate through OM porins; thus, understanding the permeation properties of these porins is instrumental to the development of new antibiotics. A common macroscopic feature of many OM porins is their ability to transition between functionally distinct open and closed states that regulate transport properties and rate. To obtain a molecular basis for these processes, we performed tens of microseconds of molecular dynamics simulations of E. coli OM porin, OmpF. We observed that large-scale motion of the internal loop, L3, leads to widening and narrowing of the pore, suggesting its potential role in gating. Furthermore, Markov state analysis revealed multiple energetically stable conformations of L3 corresponding to open and closed states of the porin. Dynamics between these functional states occurs on the time scale of tens of microseconds and are mediated by the movement of highly conserved acidic residues of L3 to form H-bonds with opposing sides of the barrel wall of the pore. To validate our mechanism, we mutated key residues involved in the gating process that alter the H-bond pattern in the open/closed states and performed additional simulations. These mutations shifted the dynamic equilibrium of the pore towards open or closed states. Complementarily, the mutations favoring the open/closed states lead to increased/decreased accumulation of multiple antibiotics in our whole-cell accumulation assays. Notably, porins containing one of the mutations favoring the closed state has previously been found in antibiotic resistant bacterial strains. Overall, our 180 {micro}s of simulation data (wild type and mutants) with concerted experiments suggests that regulation of the dynamic equilibrium between open and closed states of OM porins could be a mechanism by which Gram-negative bacteria acquire antibiotic resistance.

biophysics↗

bioRxiv2021

Rationalizing generation of broad spectrum antibiotics with the addition of a primary amine

Antibiotic resistance of Gram-negative bacteria is largely attributed to the low permeability of their outer membrane (OM). Recently, we disclosed the eNTRy rules, a key lesson of which is that the introduction of a primary amine enhances OM permeation in certain contexts. To understand the molecular basis for this finding, we perform an extensive set of molecular dynamics (MD) simulations and free energy calculations comparing the permeation of aminated and amine-free antibiotic derivatives through the most abundant OM porin of E. coli, OmpF. To improve sampling of conformationally flexible drugs in MD simulations, we developed a novel, Monte Carlo and graph theory based algorithm to probe more efficiently the rotational and translational degrees of freedom visited during the permeation of the antibiotic molecule through OmpF. The resulting pathways were then used for free-energy calculations, revealing a lower barrier against the permeation of the aminated compound, substantiating its greater OM permeability. Further analysis revealed that the amine facilitates permeation by enabling the antibiotic to align its dipole to the luminal electric field of the porin and while forming favorable electrostatic interactions with specific, highly-conserved charged residues. The importance of these interactions in permeation was further validated with experimental mutagenesis and whole cell accumulation assays. Overall, this study provides insights on the importance of the primary amine for antibiotic permeation into Gram-negative pathogens that could help the design of future antibiotics. We also offer a new computational approach for calculating free-energy of processes where relevant molecular conformations cannot be efficiently captured.

biophysics↗

bioRxiv2020

Saliva-Based Molecular Testing for SARS-CoV-2 that Bypasses RNA Extraction

Convenient, repeatable, large-scale molecular testing for SARS-CoV-2 would be a key weapon to help control the COVID-19 pandemic. Unfortunately, standard SARS-CoV-2 testing protocols are invasive and rely on numerous items that can be subject to supply chain bottlenecks, and as such are not suitable for frequent repeat testing. Specifically, personal protective equipment (PPE), nasopharyngeal (NP) swabs, the associated viral transport media (VTM), and kits for RNA isolation and purification have all been in short supply at various times during the COVID-19 pandemic. Moreover, SARS-CoV-2 is spread through droplets and aerosols transmitted through person-to-person contact, and thus saliva may be a relevant medium for diagnosing SARS-CoV-2 infection status. Here we describe a saliva-based testing method that bypasses the need for RNA isolation/purification. In experiments with inactivated SARS-CoV-2 virus spiked into saliva, this method has a limit of detection of 500-1000 viral particles per mL, rivalling the standard NP swab method, and initial studies also show excellent performance with 100 clinical samples. This saliva-based process is operationally simple, utilizes readily available materials, and can be easily implemented by existing testing sites, thus allowing for high-throughput, rapid, and repeat testing of large populations. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

microbiology↗

bioRxiv2017

Single-cell analysis of early antiviral gene expression reveals a determinant of stochastic IFNB1 expression

RIG-I-like receptors (RLRs) are cytoplasmic sensors of viral RNA that trigger the signaling cascade that leads to type I interferon (IFN) production. Transcriptional induction of RLRs by IFN is believed to play the role of positive feedback to further amplify viral sensing. We found that RLRs and several other IFN-stimulated genes (ISGs) are induced early in viral infection independent of IFN. Expression of these early ISGs requires IRF3/IRF7 and is highly correlated amongst them. Simultaneous detection of mRNA of IFNB1, viral replicase, and ISGs revealed distinct populations of IFNB1 expressing and non-expressing cells which are highly correlated with the levels of early ISGs but are uncorrelated with IFN-dependent ISGs and viral gene expression. Individual expression of RLRs made IFNB1 expression more robust and earlier, suggesting a causal relation between levels of RLR and induction of IFN.

biophysics↗