Biology subjects

Moore, C. M.

Publications and source records attributed to Moore, C. M..

At least 19 recordsLinked to original sources

bioRxiv2026

Differential Expression Analysis for Longitudinal Single-Cell RNA-Sequencing Studies Using REBEL

Longitudinal scRNA-seq experiments offer a powerful approach for dissecting temporal gene expression dynamics in individual cell types. However, few methods have been developed specifically to address the unique statistical challenges of repeated measures in scRNA-seq data. Here, we introduce a novel method, REBEL (Repeated measures Empirical Bayes differential Expression analysis using Linear mixed models), for analyzing cell type-specific differential expression in repeated measures scRNA-seq experiments. Using simulation studies, we demonstrate that, relative to conventional repeated measures analysis methods and other scRNA-seq approaches, REBEL controls the false discovery rate and exhibits competitive power across a range of simulation scenarios. We further validate REBEL by analyzing a longitudinal scRNA-seq dataset from patients with B-cell lymphoma receiving chimeric antigen receptor (CAR)-T cell therapy. REBEL is implemented as an R package, available at https://github.com/ewynn610/REBEL.

genomics↗

bioRxiv2026

Adaptive immunity shapes baseline physiology of M. tuberculosis in high-dose versus low-dose infection BALB/c mouse drug treatment models

Preclinical tuberculosis (TB) drug evaluation relies heavily on mouse infection models. Drug efficacy varies depending on inoculum and the timing of treatment initiation. These differences reflect, in part, physiological adaptations of Mycobacterium tuberculosis (Mtb) to host immune pressure. We used novel molecular markers of pathogen health (RS ratio and SEARCH-TB) to contrast Mtb phenotypes in the BALB/c high dose aerosol (HDA) subacute TB and low dose aerosol (LDA) chronic TB infection models, focusing on the transition from innate to adaptive immunity. We found that the onset of adaptive immunity coincided with a rapid reprogramming of Mtb physiology, characterized by suppressed respiration, metabolism, and biosynthesis, together with induction of stress and nutrient acquisition pathways. Changes in key Mtb processes were concordant with changes in host expression of canonical features of adaptive immunity. Our results also explain key model-specific differences in drug efficacy: when used for drug evaluation, the HDA model begins treatment during the innate immune phase when Mtb are metabolically active, whereas the LDA model initiates therapy after host adaptive immunity has already activated and the bacterial population is immune-constrained. The HDA model is shown to be a mixed model, spanning immune phases with initial treatment acting on replicating bacteria and later treatment acting on immune-constrained populations. Together, the two models offer complementary perspectives on therapeutic activity across the spectrum of bacterial states and provide a framework for designing regimens that are effective against both active and immune-constrained Mtb.

genomics↗

bioRxiv2025

Statistical Methods for Binary Outcomes Adjusting for Outcome Dependent Sampling in Longitudinal Studies with Nonignorable Dropout

1.Longitudinal clinical trials and cohort studies often collect clinical data paired with stored biospecimens. An increasing focus of biomedical research is aimed at leveraging these existing specimens to address new research questions. When a hypothesis of interest proposes to utilize costly, limited or difficult to obtain samples, it may not be possible or desirable to assay all samples. In these situations informed sampling strategies (ISS) can be used to minimize costs and preserve biospecimens by providing a framework to select a subset of subjects that is more informative than a simple random sample. The samples from selected subjects can be assayed and the resulting data can be analyzed in concert with an analytical correction. Dropout is common in longitudinal studies but existing ISS methods do not address nonignorable dropout. Ignoring cases where poor outcomes may influence the propensity to dropout could bias study results. We propose an expansion of current ISS frameworks to account for nonignorable dropout. Mixture models, commonly used to adjust for dropout, are modified to accommodate analysis of data from ISS designs. Methods are available in the BUILD R package.

bioinformatics↗

bioRxiv2025

Spatial Heterogeneity of Macrophages in the Human Lung

RationaleTranscriptionally-defined populations of interstitial macrophages (IMs) and airspace macrophages (AMs) have recently been identified in the human lung. However, the anatomic locations occupied by these populations (i.e. alveoli, pleura, airways, or arteries) have not been fully defined. ObjectivesTo determine the distribution of transcriptionally-defined human macrophages in the major anatomical lung structures and to identify alterations in their distribution and programming induced by cigarette smoking. MethodsSingle-cell RNA sequencing was performed on lung tissue from eight human donors without pulmonary disease (four smokers and four nonsmokers). Microdissection was used to isolate distinct pulmonary anatomical structures from each lung: alveoli, pleura, airways, and arteries. Transcriptional profiles of subpopulations of interstitial macrophages (IMs) and alveolar macrophages (AMs) were analyzed based on their anatomical structure of origin and smoking status. Measurements and Main ResultsFive major IM and five AM subpopulations in human lungs are identified. We demonstrate significant differences in the accumulation patterns of each macrophage subset within anatomical structures, though each subset was detected in each. Immunofluorescent microscopy confirmed anatomical structure-specific accumulation patterns of IMs. ConclusionsIn this study, we highlight key differences in the accumulation of lung macrophage subpopulations in anatomical structures but find programming within macrophage subpopulations is largely conserved, regardless of structure of origin or smoking status. We also detect populations of inflammatory AMs and IMs which accumulate within the airways, but not the alveolar parenchyma, of human cigarette smokers. We introduce a novel three-tiered hierarchy nomenclature to distinguish transcriptionally defined human lung IM subsets as 1{degrees}) Monocyte-like vs Antigen Presenting, 2{degrees}) Quiescent vs Inflammatory, and 3{degrees}) FOLR2high vs FOLR2low. This study is the first to report the fractional accumulation of human lung macrophage subsets by lung anatomical structure. SummaryLung anatomical structure-specific single cell RNA sequencing is introduced to identify and determine the local composition of human lung leukocytes, including 5 populations of human interstitial macrophages.

immunology↗

bioRxiv2025

Deconvoluting drug interactions based on M. tuberculosis physiologic processes:Transcriptional disaggregation of the BPaL regimen in vivo

Identification of optimal antibiotic combination treatments for tuberculosis (TB) in preclinical studies is impeded by the limited information conventional pharmacodynamic (PD) markers provide about drug interactions. Measurement of individual drug activity based on colony forming units (CFU) does not reliably predict the activity of drug combinations, potentially because one drug may affect the physiology of Mycobacterium tuberculosis (Mtb) in a way that either favors or disfavors the activity of a second drug. SEARCH-TB is a novel candidate PD approach which uses targeted in vivo transcriptional profiling to evaluate the effects of drugs on Mtb physiology. To test the capacity of SEARCH-TB to elucidate drug interactions, we deconstructed the BPaL (bedaquiline, pretomanid, linezolid) regimen in the BALB/c high-dose aerosol mouse infection model, measuring the effect of 2, 7, and 14-day treatment with drugs in monotherapy, pairwise combinations, and as a 3-drug combination. Monotherapy rapidly induced drug-specific Mtb transcriptional responses by day 2 with continued evolution over 14 days. Bedaquiline dominated pairwise combinations with both pretomanid and linezolid. The pretomanid-linezolid combination gave a blended response, inducing transcriptional profiles "intermediate" between either drug. In the 3-drug BPaL regimen, the addition of both pretomanid and linezolid to bedaquiline yielded a greater transcriptional response than expected based on pairwise results. This work demonstrates that physiologic perturbations induced by a single drug may be modified in complex ways when drugs are combined. This establishes proof of concept that SEARCH-TB is a highly granular readout of drug interactions in vivo, providing information distinct from CFU burden and suggesting a future in which regimen selection is informed by in vivo molecular measures of Mtb physiology.

genomics↗

bioRxiv2025

Physiologic recovery of Mycobacterium tuberculosis from drug injury: A molecular study of post antibiotic effect in mice

Post-antibiotic effect (PAE) describes the delayed recovery of bacteria following antibiotic exposure. PAE is thought to underlie tuberculosis (TB) treatment forgiveness, i.e. the capacity of regimens to tolerate non-adherence. The basis of PAE in Mycobacterium tuberculosis (Mtb) remains poorly understood, partly because PAE has conventionally been measured based on change in Mtb burden in vitro rather than change in Mtb physiology in vivo. We investigated Mtb physiologic recovery in the BALB/c mouse model following sub-curative 2- and 4-week durations of the standard isoniazid, rifampin, pyrazinamide, ethambutol (HRZE) treatment. Measurement of rRNA synthesis via the RS ratio(R) and the entire transcriptome via SEARCH-TB elucidated the dynamics of physiologic recovery. Mtb burden did not increase over 28 days of drug-free post-treatment recovery, indicating prolonged PAE in vivo. The RS ratio indicated that Mtb ribosomal RNA synthesis resumed within four days of treatment interruption. However, transcriptional changes indicative of metabolic reactivation were delayed for over two weeks. Processes critical for replication, including expression of genes involved in protein and cell wall synthesis, remained suppressed throughout 28 days post-treatment. Longer treatment induced more extensive physiologic perturbation and was associated with slower and less complete recovery. Expression of processes that are typically induced by environmental stress (e.g., DosR regulon, universal stress proteins, and heat shock proteins) exhibited the reverse, decreasing during drug treatment and rising during recovery. These findings provide a new basis for understanding PAE based on drug-induced injury and physiologic recovery. Following relatively short durations of HRZE, physiologic recovery of Mtb was a slow, sequential and incomplete process in vivo. Our observation that longer treatment resulted in even slower recovery suggests that Mtb may progressively lose capacity to recover. This work establishes a tractable experimental framework for quantifying the forgiveness of new TB treatment regimens in vivo.

microbiology↗

bioRxiv2025

Simulating Longitudinal Single-cell RNA Sequencing Data with RESCUE

As single-cell RNA-sequencing (scRNA-seq) becomes more widely used in transcriptomic research, complex experimental designs, such as longitudinal studies, become increasingly feasible. Longitudinal scRNA-seq enables the study of transcriptomic changes over time within specific cell types, yet guidance on analytical approaches and resources for study planning, such as power analysis, remains limited. Data simulation is a valuable tool for evaluating analysis method performance and informing study design decisions, including sample size selection. Currently, most scRNA-seq simulation methods simulate cells for a single sample, thus ignoring the between-sample and between-subject variability inherent to longitudinal scRNA-seq data. Here, we introduce RESCUE (REpeated measures Single Cell RNA-seqUEncing data simulation), a novel method that simulates longitudinal scRNA-seq data using a gamma-Poisson frame-work and incorporates additional variability between samples and subjects. We demonstrate our methods ability to reproduce important data properties and demonstrate its application in study planning. RES-CUE is implemented as an R package and is available at https://github.com/ewynn610/RESCUE.

genomics↗

bioRxiv2024

ATP-dependent remodeling of chromatin condensates uncovers distinct mesoscale effects of two remodelers

ATP-dependent chromatin remodeling enzymes mobilize nucleosomes, but how such mobilization affects chromatin condensation is unclear. Here, we investigate effects of two major remodelers, ACF and RSC using chromatin condensates and single-molecule footprinting. We find that both remodelers inhibit the formation of condensed chromatin. However, the remodelers have distinct effects on pre-formed chromatin condensates. ACF spaces nucleosomes without de-condensing the chromatin, explaining how ACF maintains nucleosome organization in transcriptionally repressed genomic regions. In contrast, RSC catalyzes ATP-dependent de-condensation of chromatin. Surprisingly, RSC also drives micron-scale movements of entire condensates. These newly uncovered activities of RSC explain its central role in transcriptional activation. The biological importance of remodelers may thus reflect both their effects on nucleosome mobilization and the corresponding consequences on chromatin dynamics at the mesoscale.

biochemistry↗

bioRxiv2024

HMGB1 restores a dynamic chromatin environment in the presence of linker histone by deforming nucleosomal DNA

The essential architectural protein HMGB1 increases accessibility of nucleosomal DNA and counteracts the effects of linker histone H1. However, HMGB1 is less abundant than H1 and binds nucleosomes more weakly raising the question of how HMGB1 effectively competes with H1. Here, we show that HMGB1 rescues H1s inhibition of nucleosomal DNA accessibility without displacing H1. HMGB1 also increases the dynamics of condensed, H1-bound chromatin. Cryo-EM shows that HMGB1 binds at internal locations on a nucleosome and locally distorts the DNA. These sites, which are away from the binding site of H1, explain how HMGB1 and H1 co-occupy a nucleosome. Our findings lead to a model where HMGB1 counteracts the activity of H1 by distorting nucleosomal DNA and by contacting the H1 C-terminal tail. Compared to direct competition, nucleosome co-occupancy by HMGB1 and H1 allows a greater diversity of dynamic chromatin states and may be generalizable to other chromatin regulators.

biochemistry↗

bioRxiv2024

Emergence of antibiotic-specific Mycobacterium tuberculosis phenotypes during prolonged treatment of mice

A major challenge in tuberculosis (TB) therapeutics is that antibiotic exposure leads to changes in the physiologic state of M. tuberculosis (Mtb) which may enable the pathogen to withstand treatment. While antibiotic-treated Mtb have been evaluated in short-term in vitro experiments, it is unclear if and how long-term in vivo treatment with diverse antibiotics with varying treatment-shortening activity (sterilizing activity) affect Mtb physiologic states differently. Here, we used SEARCH-TB, a pathogen-targeted RNA-sequencing platform, to characterize the Mtb transcriptome in the BALB/c high-dose aerosol infection mouse model following 4-week treatment with three sterilizing and three non-sterilizing antibiotics. Certain transcriptional changes were concordant among most antibiotics, including decreased expression of genes associated with protein synthesis and metabolism, and the induction of certain genes associated with stress responses. However, the magnitude of this concordant response differed between antibiotics. Sterilizing antibiotics rifampin, pyrazinamide, and bedaquiline generated a more quiescent Mtb state than did non-sterilizing antibiotics isoniazid, ethambutol, and streptomycin, as indicated by decreased expression of genes associated with translation, transcription, secretion of immunogenic proteins, metabolism, and cell wall synthesis. Additionally, we identified distinguishing transcriptional effects specific to each antibiotic, indicating that different mechanisms of action induce distinct patterns of cellular injury. In addition to elucidating Mtb physiologic changes associated with antibiotic stress, this study demonstrates the value of SEARCH-TB as a highly granular pharmacodynamic assay that reveals antibiotic effects that are not apparent based on culture alone.

genomics↗

bioRxiv2024

Theoretical Models of Obligate Mutualism to Link Micro- with Macro-Coevolutionary Dynamics

There is a need to link micro- and macro-coevolution to bridge mechanistic theory and observations of micro-coevolutionary change with observations of macro-coevolutionary patterns. This need is particularly conspicuous in theoretical models of obligate mutualism, where phylogenetic matching is the predicted outcome. However, these theoretical models of obligate mutualism create a mismatch with empirical studies of obligate mutualism, which experience extensive phylogenetic discordance. Although environmental variation on geographic scales is often invoked, there are other, non-mutually exclusive mechanisms that can possibly explain genetic diversity and co-phylogenetic patterns in mutualistic communities. In this study, we use a genetic-explicit mathematical model of obligate mutualism that explain host-switching outcomes and, consequently, discordance in cophylogenies. We then explore the role of temporal variation in maintenance of genetic variation (i.e., phenology), which can further account for phylogenetic discordance. These insights are possible due to the focus on initial conditions and short-term behavior of model results. This work ultimately supports the continued importance of theoretical work which expands its analysis of outcomes beyond asymptotic behavior.

evolutionary biology↗

bioRxiv2023

How do host population dynamics impact Lyme disease risk dynamics in theoretical models?

Lyme disease is the most common wildlife-to-human transmitted disease reported in North America. The study of this disease requires an understanding of the ecology of the complex communities of ticks and host species involved in harboring and transmitting this disease. Much of the ecology of this system is well understood, such as the life cycle of ticks, and how hosts are able to support tick populations and serve as disease reservoirs, but there is much to be explored about how the population dynamics of different host species and communities impact disease risk to humans. In this study we construct a stage-structured, empirically-informed model with host dynamics to investigate how host population dynamics can affect disease risk to humans. The model describes a tick population and a simplified community of three host species, where primary nymph host populations are made to fluctuate on an annual basis, as commonly observed in host populations. We tested the model under different environmental conditions to examine the effect of environment on the interactions of host dynamics and disease risk. Results show that allowing for host dynamics in the model reduces mean nymphal infection prevalence and increases the maximum annual prevalence of nymphal infection and the density of infected nymphs. Effects of host dynamics on disease measures of nymphal infection prevalence were nonlinear and patterns in the effect of dynamics on amplitude in nymphal infection prevalence varied across environmental conditions. These results highlight the importance of further study of the effect of community dynamics on disease risk. This will involve the construction of further theoretical models and collection of robust field data to inform these models With a more complete understanding of disease dynamics we can begin to better determine how to predict and manage disease risk using these models.

ecology↗

bioRxiv2023

Transcriptional adaptation of drug-tolerant Mycobacterium tuberculosis in mice

Transcriptome evaluation of Mycobacterium tuberculosis in the lungs of laboratory animals during long-term treatment has been limited by extremely low abundance of bacterial mRNA relative to eukaryotic RNA. Here we report a targeted amplification RNA sequencing method called SEARCH-TB. After confirming that SEARCH-TB recapitulates conventional RNA-seq in vitro, we applied SEARCH-TB to Mycobacterium tuberculosis-infected BALB/c mice treated for up to 28 days with the global standard isoniazid, rifampin, pyrazinamide, and ethambutol regimen. We compared results in mice with 8-day exposure to the same regimen in vitro. After treatment of mice for 28 days, SEARCH-TB suggested broad suppression of genes associated with bacterial growth, transcription, translation, synthesis of rRNA proteins and immunogenic secretory peptides. Adaptation of drug-stressed Mycobacterium tuberculosis appeared to include a metabolic transition from ATP-maximizing respiration towards lower-efficiency pathways, modification and recycling of cell wall components, large-scale regulatory reprogramming, and reconfiguration of efflux pumps expression. Despite markedly different expression at pre-treatment baseline, murine and in vitro samples had broadly similar transcriptional change during treatment. The differences observed likely indicate the importance of immunity and pharmacokinetics in the mouse. By elucidating the long-term effect of tuberculosis treatment on bacterial cellular processes in vivo, SEARCH-TB represents a highly granular pharmacodynamic monitoring tool with potential to enhance evaluation of new regimens and thereby accelerate progress towards a new generation of more effective tuberculosis treatment.

microbiology↗

bioRxiv2022

Depletion Assisted Hemin Affinity (DAsHA) Proteomics Reveals an Expanded Landscape of Heme Binding Proteins

Heme b (iron protoporphyrin IX) plays important roles in biology as a metallocofactor and signaling molecule. However, the targets of heme signaling and the network of proteins that mediate the exchange of heme from sites of synthesis or uptake to heme dependent or regulated proteins are poorly understood. Herein, we describe a quantitative mass spectrometry-based chemoproteomics strategy to identify exchange labile hemoproteins in human embryonic kidney HEK293 cells that may be relevant to heme signaling and trafficking. The strategy involves depleting endogenous heme with the heme biosynthetic inhibitor succinylacetone (SA), leaving putative heme binding proteins in their apo-state, followed by the capture of those proteins using hemin-agarose resin and finally elution and identification by mass spectrometry. By identifying only those proteins that interact with high specificity to hemin-agarose relative to control beaded agarose in a SA-dependent manner, we have expanded the number of proteins and ontologies that may be involved in binding and buffering labile heme or are targets of heme signaling. Notably, these include proteins involved in chromatin remodeling, DNA damage response, RNA splicing, cytoskeletal organization and vesicular trafficking, many of which have been associated with heme through complimentary studies published recently. Taken together, these results provide support for the emerging role for heme in an expanded set of cellular processes from genome integrity to protein trafficking and beyond.

biochemistry↗

bioRxiv2022

IL-13-programmed airway tuft cells produce PGE2, which promotes CFTR-dependent mucociliary function

Chronic type 2 (T2) inflammatory diseases of the respiratory tract are characterized by mucus overproduction and disordered mucociliary function, which are largely attributed to the effects of IL-13 on common epithelial cell types (mucus secretory and ciliated cells). The role of rare cells in airway T2 inflammation is less clear, though tuft cells have been shown to be critical in the initiation of T2 immunity in the intestine. Using bulk and single cell RNA sequencing of airway epithelium and mouse modeling, we find that IL-13 expands and programs airway tuft cells towards eicosanoid metabolism, and that tuft cell deficiency leads to a reduction in airway prostaglandin E2 (PGE2) concentration. Allergic airway epithelia bear a signature of prostaglandin E2 activation, and PGE2 activation leads to CFTR-dependent ion and fluid secretion and accelerated mucociliary transport. Together these data reveal a role for tuft cells in regulating epithelial mucociliary function in the allergic airway.

immunology↗

bioRxiv2021

Combination of Mycobacterium tuberculosis RS ratio and CFU improves the ability of murine efficacy experiments to distinguish between drug treatments

Murine tuberculosis drug efficacy studies have historically monitored bacterial burden based on colony forming units of M. tuberculosis in lung homogenate. In an alternative approach, a recently described molecular pharmacodynamic marker called the RS ratio quantifies drug effect on a fundamental cellular process: ongoing ribosomal RNA synthesis. Here we evaluated the ability of different pharmacodynamic markers to distinguish between treatments in three BALB/c mouse experiments at two institutions. We confirmed that different pharmacodynamic markers measure distinct biological responses. We found that a combination of pharmacodynamic markers distinguishes between treatments better than any single marker. The combination of the RS ratio with colony forming units showed the greatest ability to recapitulate the rank order of regimen treatment-shortening activity, providing proof of concept that simultaneous assessment of pharmacodynamic markers measuring different properties will enhance insight gained from animal models and accelerate development of new combination regimens. These results suggest potential for a new era in which antimicrobial therapies are evaluated not only on culture-based measures of bacterial burden but also on molecular assays that indicate how drugs impact the physiological state of the pathogen.

microbiology↗

bioRxiv2021

Single-fiber nucleosome density shapes the regulatory output of a mammalian chromatin remodeling enzyme

ATP-dependent chromatin remodelers regulate the DNA accessibility required of virtually all nuclear processes. Biochemical studies have provided insight into remodeler action at the nucleosome level, but how these findings translate to activity on chromatin fibers in vitro and in vivo remains poorly understood. Here, we present a massively multiplex single-molecule platform allowing high-resolution mapping of nucleosomes on fibers assembled on mammalian genomic sequences. We apply this method to distinguish between competing models for chromatin remodeling by the essential ISWI ATPase SNF2h: linker-length-dependent dynamic positioning versus fixed-linker-length static clamping. Our single-fiber data demonstrate that SNF2h operates as a density-dependent, length-sensing chromatin remodeler whose ability to decrease or increase DNA accessibility depends on single-fiber nucleosome density. In vivo, this activity manifests as different regulatory modes across epigenomic domains: at canonically-defined heterochromatin, SNF2h generates evenly-spaced nucleosome arrays of multiple nucleosome repeat lengths; at SNF2h-dependent accessible sites, SNF2h slides nucleosomes to increase accessibility of motifs for the essential transcription factor CTCF. Overall, our generalizable approach provides molecularly-precise views of the processes that shape nuclear physiology. Concurrently, our data illustrate how a mammalian chromatin remodeling enzyme can effectively sense nucleosome density to induce diametrically-opposed regulatory effects within the nucleus.

genomics↗

bioRxiv2021

Selective inhibition of PfATP6 by artemisinins and identification of new classes of inhibitors after expression in yeast

Treatment failures with artemisinin combination therapies (ACTs) threaten global efforts to eradicate malaria. They highlight the importance of identifying drug targets and new inhibitors and of studying how existing antimalarial classes work. Herein we report the successful development of an heterologous expression-based compound screening tool. Validated drug target P. falciparum calcium ATPase6 (PfATP6) and a mammalian ortholog (SERCA1a) were functionally expressed in yeast providing a robust, sensitive, and specific screening tool. Whole-cell and in vitro assays consistently demonstrated inhibition and labelling of PfATP6 by artemisinins. Mutations in PfATP6 resulted in fitness costs that were ameliorated in the presence of artemisinin derivatives when studied in the yeast model. As previously hypothesised, PfATP6 is a target of artemisinins. Mammalian SERCA1a can be mutated to become more susceptible to artemisinins. The inexpensive, low technology yeast screening platform has identified unrelated classes of druggable PfATP6 inhibitors. Resistance to artemisinins may depend on mechanisms that can concomitantly address multi-targeting by artemisinins and fitness costs of mutations that reduce artemisinin susceptibility.

pharmacology and toxicology↗