Biology subjects

McMillan, J.

Publications and source records attributed to McMillan, J..

5 recordsLinked to original sources

bioRxiv2025

Spatially Resolved Determination of Small Molecule Protein Affinities by Hydrogen Deuterium Exchange Mass Spectrometry

Hydrogen Deuterium Exchange Mass Spectrometry (HDX-MS) is an established tool in drug discovery, used to characterize target engagement and conformational dynamics, frequently used in both biopharmaceutical and small molecule development. Conventional HDX-MS experiments are performed at saturating ligand concentrations to generate a binding "footprint", where decreased solvent exchange reflects a local structural stabilization and/or reduced solvent accessibility upon binding. Here, we present an extended HDX-MS and HDX-MS/MS titration workflow with electron capture dissociation (ECD) fragmentation capable of estimating apparent dissociation constants (KDapp) at global, peptide and single amino acid resolution by fitting uptake-concentration relationships under EX2 exchange and Langmuir binding assumptions. The ability to determine affinity constants in a spatially resolved manner combined with the automation available in HDX-MS sample handling and data analysis enables quantitative mapping of ligand-protein interactions and provides a scalable approach for structure-activity relationship studies in drug discovery.

biophysics↗

bioRxiv2025

Mechanistic Insights into Dual-Active Liver and Blood-Stage Antiplasmodials

The identification of novel antimalarials with activity against both the liver and blood stages of the parasite lifecycle would have the dual benefit of prophylactic and curative potential. However, one challenge of leveraging chemical hits from phenotypic screens is subsequent target identification. Here, we use in vitro evolution of resistance to investigate nine compounds from the Tres Cantos Antimalarial Set (TCAMS) with dual liver and asexual blood stage activity. We succeeded in eliciting resistance to four compounds, yielding mutations in acetyl CoA synthetase (AcAS), cytoplasmic isoleucine tRNA synthetase (cIRS), and protein kinase G (PKG) respectively. Using a combination of CRISPR editing and in vitro activity assays with recombinant proteins, we validate these as targets for TCMDC-125075 (AcAS), TCMDC-124602 (cIRS), and TCMDC-141334 and TCDMC-140674 (PKG). Notably, for the latter two compounds, we obtained a T618I mutation in the gatekeeper residue of PKG, consistent with direct interaction with the active site, which we modelled with molecular docking. Finally, we performed cross-resistance evaluation of the remaining five resistance-refractory compounds using the Antimalarial Resistome Barcode sequencing assay (AReBar), which examined a pool of 52 barcoded lines with mutations covering >30 common modes of action. None of the five compounds where in vitro evolution of resistance was not successful yielded validated hits using AReBar, indicating they likely act via novel mechanisms and may be candidates for further exploration.

microbiology↗

bioRxiv2025

Combined generalist and host-specific transcriptional strategies enable host generalism in the fungal pathogen Botrytis cinerea

How generalist pathogens infect phylogenetically diverse hosts remains a central question in plant-pathogen biology. In particular, the extent to which broad host range is enabled by genetic variation versus transcriptional plasticity is unclear. To investigate how variation and plasticity contribute to generalism, we studied the generalist necrotrophic fungus Botrytis cinerea that infects more than 1,500 plant species. Using a cross-infection matrix of 72 B. cinerea isolates infected on 57 plant genotypes distributed across 15 eudicot species, we identified general and host-dependent fungal components of lesion formation. Transcriptome profiling at 48 hours post-inoculation revealed two distinct pathogen gene modules: (1) a set of general lesion-associated genes enriched in primary metabolism, showing similar expression across hosts but varied among isolates; and (2) a set of high-entropy, host specific-inducible genes, organized into distinct co-regulated modules that respond dynamically to specific host cues. Both gene sets were genomically dispersed, lacking structural clustering, and were under different levels of selective constraints. Our results demonstrate that B. cinerea employs a modular transcriptional strategy that integrates a core metabolic program along with a plastic, host-responsive regulatory network to achieve broad host colonization. This study presents the most comprehensive cross-species co-transcriptomic dataset to date for any fungal phytopathogen, highlighting transcriptional plasticity as a key mechanism underlying generalism in plant-fungal interactions. Moreover, the identification of conserved fungal gene targets across diverse hosts offers a foundation for developing broad-spectrum resistance strategies in multiple crops.

genomics↗

bioRxiv2021

Exonic Disruption Facilitates Antiviral CRISPR-Cas9 Activity for Multistrain HIV-1 Elimination

A barrier to HIV-1 cure rests in the persistence of proviral DNA in infected CD4+ leukocytes. The high mutation rate of HIV-1 gives rise to numerous circulating strains with increased capacity for immune evasion and antiretroviral drug resistance. To facilitate viral elimination while accounting for this diversity, we propose genetic inactivation of proviral DNA with CRISPR-spCas9. We designed a library of "mosaic gRNAs" against a HIV-1 consensus sequence constructed from 4004 clinical strains, targeting the viral transcriptional regulator tat. Testing in 7 HIV-1 transmitted founder strains led, on average, to viral reductions of 82% with tandem TatD and TatE (TatDE) treatment. No off-target cleavages were recorded. Lentiviral transduction of TatDE attenuated latency reversal by 94% in HIV-infected, transcriptionally silent ACH2 T cells. In all, TatDE guide RNAs successfully disrupted 5 separate HIV-1 exons (tat1-2/rev1-2/gp41) providing a pathway for CRISPR-directed HIV-1 cure therapies. Significance StatementOver 38 million individuals worldwide are infected with HIV-1, which necessitates lifelong dependence on antiretroviral therapy (ART) to prevent viral replication that leads to AIDS. Efforts to rid hosts of HIV-1 are limited by the virus abilities to integrate proviral DNA in nuclei, mutate their genomes, and lay dormant for decades during ART treatment. We developed mosaic guide RNAs, TatD and TatE, for CRISPR-Cas9 that recognize the majority of known HIV-1 strains and inactivate 94% of proviral DNA in latently infected cells. Tandem TatDE-CRISPR inactivation of 5 viral exons (tat1-2, rev1-2, and gp41), which blocked HIV-1 replication for 28 days in CD4+ T cells without unwanted editing to the host genome, may serve as a viable strategy for HIV cure.

microbiology↗

bioRxiv2019

YeasTSS: An Integrative Web Database of Yeast Transcription Start Sites

The transcription initiation landscape of eukaryotic genes is complex and highly dynamic. In eukaryotes, genes can generate multiple transcript variants that differ in 5 boundaries due to usages of alternative transcription start sites (TSSs), and the abundance of transcript isoforms are highly variable. Due to a large number and complexity of the TSSs, it is not feasible to depict details of transcript initiation landscape of all genes using text-format genome annotation files. Therefore, it is necessary to provide data visualization of TSSs to represent quantitative TSS maps and the core promoters. In addition, the selection and activity of TSSs are influenced by various factors, such as transcription factors, chromatin remodeling, and histone modifications. Thus, integration and visualization of functional genomic data related to these features could provide a better understanding of the gene promoter architecture and regulatory mechanism of transcription initiation. Yeast species play important roles for the research and human society, yet no database provides visualization and integration of functional genomic data in yeast. Here, we generated quantitative TSS maps for twelve important yeast species, inferred their core promoters, and built a public database, YeasTSS (www.yeastss.org). YeasTSS was designed as a central portal for visualization and integration of the TSS maps, core promoters and functional genomic data related to transcription initiation in yeast. YeasTSS is expected to benefit the research community and public education for improving genome annotation, studies of promoter structure, regulated control of transcription initiation and inferring gene regulatory network.

bioinformatics↗