Biology subjects

Wheeler, M.

Publications and source records attributed to Wheeler, M..

15 recordsLinked to original sources

bioRxiv2026

Cardiac REDD1 alters glucose and fatty acid metabolic gene expression via an mTORC1-independent, PPAR alpha-dependent mechanism and drives hypertrophic growth

BackgroundRegulated in development and DNA damage 1 (REDD1) is a highly inducible molecule that plays a role in numerous physiological and pathophysiological processes. It is a well-established negative regulator of mammalian target of rapamycin complex 1 (mTORC1), which is critical for maintaining elevated fatty acid-to-glucose oxidation ratio in the heart. In addition, REDD1 deletion results in hyperglycemia, suggesting that REDD1 is critical for tissue glucose metabolism. The role of REDD1 in regulating cardiac glucose and/or fatty acid metabolism in response to physiologic or pathophysiologic cues, however, remains unexplored. MethodsHerein, we utilize AC16 cardiomyocytes with REDD1 deletion, as well as mice with global or cardiomyocyte-specific deletion of Redd1, and their respective controls. We also subject these mice cardiac pressure overload using transverse aortic constriction (TAC) for 2 weeks or sham operation as a control. To examine the molecular regulators of glucose oxidation, we utilized qPCR and western blotting to evaluate pyruvate dehydrogenase (PDH) kinase (PDK) and phospho-PDH (pPDH) levels, respectively. We also directly measured PDH activity and glucose-driven cellular respiration. To investigate the complete REDD1-dependent transcriptome and metabolome, we performed RNA-sequencing (RNA-Seq) and untargeted metabolomics, respectively. To determine if the observed gene expression changes were dependent upon transcription factor peroxisome proliferator-activated receptor alpha (PPAR), we utilized an established pharmacologic PPAR inhibitor, GW6471. Here, we measured PPAR activity directly, as well as the expression of its target genes. In order to determine if our observed effects were mTORC1-dependent, we utilized mTORC1-specific inhibitor, everolimus. Finally, we measured cardiac hypertrophy using gravimetric analyses (heart weight (HW)-to-body weight (BW) or HW-to-tibia length (TL) ratios) and histological analyses of cardiomyocyte cross sectional area (CSA). We also measured mRNA and protein levels of pathological hypertrophic markers Natriuretic Peptide B (Nppb) and Cardiac Ankyrin Repeat Protein (CARP), respectively. ResultsOur data demonstrate that physiological levels of glucose induce REDD1 expression in cardiomyocytes. Further, we show that in cardiomyocytes or the hearts of mice with REDD1 deletion, there is elevated PDK4 expression, as well as increased levels of pPDH (S300 and/or S293) and reduced PDH activity. Interestingly, everolimus treatment has no effect on these alterations. In vitro, we also observe elevated glycolysis and glycolytic capacity, and reduced maximal respiratory capacity (MRC) in the presence of glucose. Interestingly, our RNA-Seq data reveals the upregulation of genes involved in fatty acid catabolism. Further, we demonstrate that PPAR activity is enhanced, and everolimus treatment also has no effect on this parameter. Additionally, we show that treatment of cardiomyocytes with GW6471 normalizes the expression of its target genes (PDK4, ACSL1) and levels of pPDH (S300), that are elevated in cells with REDD1 deletion. Finally, we observe elevated REDD1 in the hearts of mice following TAC. Moreover, we show reduced HW/BW, HW/TL, cardiomyocyte CSA, and levels of cardiac Nppb and CARP in mice with cardiomyocyte Redd1 deletion subjected to TAC versus controls also subjected to TAC. Importantly, TAC-induced reductions in cardiac Pdk4 and pPDH (S293 and S300), are normalized to control levels in mice with Redd1 deletion subjected to TAC. ConclusionsTogether, our findings suggest that physiological glucose-induced and pathological pressure overload-induced REDD1 is required for enhancing glucose oxidation and suppressing fatty acid oxidation in cardiomyocytes. In this way, REDD1 supports cardiac hypertrophic growth. We also outline a mechanism whereby REDD1 inhibits PPAR activity, thereby inhibiting the expression of its target genes, including PDK4 and those involved in fatty acid oxidation. Finally, we demonstrate that these effects are independent of REDD1s ability to inhibit mTORC1.

cell biology↗

bioRxiv2025

Attractors are less stable than their basins: Canalization creates a coherence gap in gene regulatory networks

Waddingtons epigenetic landscape has served as biologys central metaphor for cellular differentiation for over half a century, depicting mature cell types as balls resting in stable valley floors. Boolean networks - introduced by Kauffman in 1969 to model gene regulatory dynamics - provide a mathematical formalization of this landscape, where attractors represent phenotypes and basins of attraction correspond to developmental valleys. Traditional stability measures quantify robustness by perturbing arbitrary states, yet biological systems typically reside at attractors rather than in transient states. Here we formalize and systematically analyze attractor coherence - a stability measure Kauffman originally envisioned but never rigorously developed - which quantifies how likely a perturbation of an attractor state causes phenotype switching. Analyzing 122 expertcurated biological Boolean models, we reveal a striking paradox: attractors representing mature cell types are consistently less stable than the developmental trajectories approaching them. Largescale simulations of random networks demonstrate that this coherence gap arises from canalization - a hallmark of biological regulation where individual genes can override others. While canalization increases overall network stability, it disproportionately stabilizes transient states, positioning attractors near basin boundaries. The gaps magnitude is almost perfectly predicted by network bias (Spearmans{rho} = -0.997), itself modulated by canalization. These findings revise Waddingtons landscape: canalization carves deep protective valleys ensuring developmental robustness, yet simultaneously flattens ridges near valley floors, facilitating phenotypic plasticity when multiple fates coexist. This explains how biological systems achieve both reliable development and plasticity, with implications for understanding development, disease-related transitions, and designing robust yet controllable synthetic gene circuits.

systems biology↗

bioRxiv2025

Two-Year Field Trial of Genetically Engineered American Chestnut Reveals Greater Fungal Blight Tolerance Compared to Wild-Type Full-Sibling Trees

The American chestnut (Castanea dentata [Marsh.] Borkh.) was a foundational forest canopy species in eastern North America until an accidentally imported fungal blight (caused by Cryphonectria parasitica [Murr.] Barr.) rendered it functionally extinct across its native range. Biotechnological approaches, such as the bioengineered Darling 54 line, have potential for future restoration of American chestnut, but field-based evaluations of blight tolerance have been limited. Progress has been slowed by the many years it takes for seedlings to grow to saplings, then to full-fledged trees. Current regulatory restrictions also constrain the testing of transgenic chestnuts to within permitted orchards. This research reports on a two-year field trial of Darling 54, their non-transgenic wild-type siblings and Chinese chestnut (Castanea mollissima Blume) controls deployed a randomized block design to test for blight tolerance. In the two years, three replicates each of 261 trees were branch-inoculated with EP-155, a highly virulent isolate of the fungal blight. Based on canker length, Darling 54 trees consistently outperformed their non-transgenic wild-type siblings and Chinese chestnut. To our knowledge, this is the first report of a multi-year field trial of fungal blight inoculations comparing advanced generation Darling 54 families. This field-based evaluation suggests that reintroduction programs using Darling 54 American chestnuts, which can commence after federal approval, may offer a promising path to success.

synthetic biology↗

bioRxiv2025

Pericyte and Endothelial Cell Responses within Murine Cerebral Capillaries After Blood Flow Cessation

ABSTRACT/SUMMARYBlood flow provides critical inputs for mechanisms governing vascular homeostasis. Altered hemodynamics can therefore trigger a wide range of cellular responses in blood vessels. Endothelial cells (ECs) downstream of atherosclerotic plaques for instance are exposed to turbulent flow, activating inflammatory pathways that promote immune cell infiltration. In conditions like stroke and myocardial infarction, the abrupt loss of blood flow prompts responses in vascular cells such as ECs and pericytes (PCs) to adapt to ischemic or no-flow conditions. To better understand how cerebral capillary ECs and PCs react to the sudden loss of blood flow, we used a murine brain slice model cultured for 12- and 24-hours in artificial cerebrospinal fluid (aCSF) with 95% oxygen supplementation. As expected, inflammation mediators were upregulated in cultured slices compared to non-cultured samples, particularly those associated with leukocyte recruitment. Additionally, transcriptional markers of extracellular matrix (ECM) remodeling and cell-ECM interactions were elevated, consistent with reduced PC coverage along capillaries. We initially presumed these changes reflected blood-brain barrier (BBB) degradation, but instead we found an increase in mRNA transcripts for EC junctions and stable protein levels for junction molecules, with an apparent rearrangement of Claudin5-based tight junctions. Some capillaries also exhibited reduced diameters, suggesting constriction by PCs or a subset thereof. Consistent with these observations, we found an upregulation of the vasoconstrictor Endothelin-1 (ET-1) with its receptors and contractile proteins found in a subpopulation of PCs. Suppressing ET-1 activity prevented Claudin5 upregulation, indicating that ET-1 might regulate microvascular constriction and associated changes in endothelial tight junctions. Overall, these results suggest that in the absence of blood flow, PCs contribute to capillary wall remodeling by (i) potentially mediating a mechanism driven by ET-1 that affects EC Claudin5 dynamics, and (ii) reducing capillary ECM and detaching from microvessel walls.

cell biology↗

bioRxiv2025

When does additional information improve accuracy of RNA secondary structure prediction?

The secondary structure of an RNA sequence plays an important role in determining its function, and accurate prediction of the structure is still a major goal in computational biology. Improvements in the prediction accuracy of the secondary structure can be achieved via auxiliary information. In this paper, we study features based on suboptimal formations competing with the minimum-free energy formation and investigate their role in determining the improvement of accuracy via auxiliary information, which we call directability. Here, we introduce a similarity measure among competing substructures called profiles. Then, we present an n-dimensional representation of the profiles which allows the use of topological data analysis (i.e., persistence landscapes) to obtain different metrics that represent topological features. Then, we built random forest classifiers using these novel features. We show how the similarity feature is more important for classifiers trained on sequences with similar structures while the topological features are more important for classifiers trained on sequences with dissimilar structures. We perform extensive testing on two sets of RNA sequences where we studied the sensitivity of the classification accuracy and their feature importance.

bioinformatics↗

bioRxiv2024

The heme-scavenger, hemopexin, protects against fungal lung injury by mitigating NETosis: an experimental and computational study.

Invasive aspergillosis is characterized by lung hemorrhage and release of extracellular heme, which promotes fungal growth. Heme can also mediate tissue injury directly, and both fungal growth and lung injury may induce hemorrhage. To assimilate these interdependent processes, we hypothesized that, during aspergillosis, heme mediates direct lung injury independent of fungal growth, leading to worse infection outcomes, and the scavenger protein, hemopexin, mitigates these effects. Mice with neutropenic aspergillosis were found to have a time-dependent increase in lung extracellular heme and a corresponding hemopexin induction. Hemopexin deficiency resulted in markedly increased lung injury, fungal growth, and lung hemorrhage. Using a computational model of the interactions of Aspergillus, heme, and the host, we predicted a critical role for heme-mediated generation of neutrophil-extracellular traps in this infection. We tested this prediction using a fungal strain unable to grow at body temperature, and found that extracellular heme and fungal exposure synergize to induce lung injury by promoting NET release, and disruption of NETs was sufficient to attenuate lung injury and fungal burden. These data implicate heme-mediated NETosis in both lung injury and fungal growth during aspergillosis, resulting in a detrimental positive feedback cycle that can be interrupted by scavenging heme or disrupting NETs.

immunology↗

bioRxiv2023

Modularity of biological systems: a link between structure and function

This paper addresses two topics in systems biology, the hypothesis that biological systems are modular and the problem of relating structure and function of biological systems. The focus here is on gene regulatory networks, represented by Boolean network models, a commonly used tool. Most of the research on gene regulatory network modularity has focused on network structure, typically represented through either directed or undirected graphs. But since gene regulation is a highly dynamic process as it determines the function of cells over time, it is natural to consider functional modularity as well. One of the main results is that the structural decomposition of a network into modules induces an analogous decomposition of the dynamic structure, exhibiting a strong relationship between network structure and function. An extensive simulation study provides evidence for the hypothesis that modularity might have evolved to increase phenotypic complexity while maintaining maximal dynamic robustness to external perturbations.

systems biology↗

bioRxiv2023

Profiling plasma extracellular vesicle-derived microRNAs for noninvasive diagnosis of alpha-1 antitrypsin deficiency associated liver disease

Alpha-1 antitrypsin deficiency (AATD) is a rare genetic disease characterized by reduced circulating levels of alpha-1 antitrypsin (AAT) due to the retention of misfolded AAT in the hepatocytes. The toxic AAT aggregates in hepatocytes cause liver fibrosis, cirrhosis, and hepatocellular carcinoma. Most patients remain asymptomatic until the final stage in which liver transplantation becomes the only treatment. Timely diagnosis of AATD liver disease plays a critical role in intervention and finding curative solutions. Assessing the prevalence and severity of AATD liver disease remains challenging due to limitations in current methods. Liver biopsy, the gold standard for evaluating the hepatic AAT accumulation, the initiating stage for AATD liver disease, is hindered by invasiveness and sampling errors. To address these limitations, we conducted a study using unique and precious clinical samples. We analyzed plasma extracellular vesicle (EV) derived miRNAs and liver transcriptomes from AATD individuals to develop a sensitive and noninvasive diagnostic approach for AATD liver disease. In the testing stage of our study, we enrolled 17 AATD individuals with different stages of liver disease, as determined by liver biopsy, and 20 controls. We identified differential expression of 178 miRNAs within the AATD group compared to controls by miRNA sequencing. Among those miRNAs, we selected miR-223-3p, miR-23a-3p, miR-15b-5p, let-7a-5p, let-7f-5p, and miR-374a-5p for further validation in an independent cohort of 45 AATD individuals. Using a logistic model that combined three miRNAs, we achieved an AUC of 0.737 for detecting AATD liver disease. Adding a fourth miRNA into this model increased the AUC to 0.751. The changes in EV miRNAs are correlated to dysregulated expression of liver mRNAs in AATD individuals with different stages of liver disease. We propose that plasma-circulating EV exhibit distinct miRNAs in AATD individuals and could serve as clinically significant biomarkers for the early detection of AATD liver disease.

molecular biology↗

bioRxiv2022

The functional impact of rare variation across the regulatory cascade

Each human genome has tens of thousands of rare genetic variants; however, identifying impactful rare variants remains a major challenge. We demonstrate how use of personal multi-omics can enable identification of impactful rare variants by using the Multi-Ethnic Study of Atherosclerosis (MESA) which included several hundred individuals with whole genome sequencing, transcriptomes, methylomes, and proteomes collected across two time points, ten years apart. We evaluated each multi-omic phenotypes ability to separately and jointly inform functional rare variation. By combining expression and protein data, we observed rare stop variants 62x and rare frameshift variants 216x as frequently as controls, compared to 13x to 27x for expression or protein effects alone. We developed a Bayesian hierarchical model to prioritize specific rare variants underlying multi-omic signals across the regulatory cascade. With this approach, we identified rare variants that exhibited large effect sizes on multiple complex traits including height, schizophrenia, and Alzheimers disease.

genomics↗

bioRxiv2022

Computational modeling of macrophage iron sequestration during host defense against Aspergillus

Iron is essential to the virulence of Aspergillus species, and restricting iron availability is a critical mechanism of antimicrobial host defense. Macrophages recruited to the site of infection are at the crux of this process, employing multiple intersecting mechanisms to orchestrate iron sequestration from pathogens. To gain an integrated understanding of how this is achieved in invasive aspergillosis, we generated a transcriptomic time-series of the response of human monocyte-derived macrophages to Aspergillus and used this and the available literature to construct a mechanistic computational model of iron handling of macrophages during this infection. We found an overwhelming macrophage response beginning 2-4 hours after exposure to the fungus, which included upregulated transcription of iron import proteins transferrin receptor-1, divalent metal transporter-1, and ZIP family transporters, and downregulated transcription of the iron exporter ferroportin. The computational model, based on a discrete dynamical systems framework, consisted of 21 3-state nodes, and was validated with additional experimental data that were not used in model generation. The model accurately captures the steady state and the trajectories of most of the quantitatively measured nodes. In the experimental data, we surprisingly found that transferrin receptor-1 upregulation preceded the induction of inflammatory cytokines, a feature that deviated from model predictions. Model simulations suggested that direct induction of TfR1 after fungal recognition, independent of the Iron Regulatory Protein - Labile Iron Pool system, explains this finding. We anticipate that this model will contribute to a quantitative understanding of iron regulation as a fundamental host defense mechanism during aspergillosis. ImportanceInvasive pulmonary aspergillosis is a major cause of death among immunosuppressed individuals despite the best available therapy. Depriving the pathogen of iron is an essential component of host defense in this infection, but the mechanisms by which the host achieves this are complex. To understand how recruited macrophages mediate iron deprivation during the infection, we developed and validated a mechanistic computational model that integrates the available information in the field. The insights provided by this approach can help in designing iron modulation therapies as anti-fungal treatments.

immunology↗

bioRxiv2021

The Innate Immune Response to Invasive Pulmonary Aspergillosis: A Systems Modeling Approach

Aspergillus species are ubiquitous environmental molds, the spores of which are inhaled daily by most humans. Immunocompromised hosts can develop an invasive infection resulting in high mortality. There is, therefore, a pressing need for host-centric therapeutics for this infection. To address this need, we created a multi-scale computational model of the infection, focused on its interaction with the innate immune system and iron, a critical nutrient for the pathogen. The model, parameterized using published data, was found to recapitulate a wide range of biological features and was experimentally validated in vivo. Conidial swelling was identified as critical in fungal strains with high growth, whereas the siderophore secretion rate is an essential prerequisite for establishment of the infection in low-growth strains. In immunocompetent hosts, high growth, high swelling probability, and impaired leukocyte activation lead to a high conidial germination rate. Similarly, in neutropenic mice, high fungal growth was achieved through synergy between high growth rate, high swelling probability, slow leukocyte activation, and high siderophore secretion. In summary, the model reveals a small set of parameters related to fungal growth, iron acquisition, and leukocyte activation as key determinants of the fate of the infection.

systems biology↗

bioRxiv2020

Mineralized collagen scaffolds fabricated with amniotic membrane matrix increase osteogenesis under inflammatory conditions

Defects in craniofacial bones occur congenitally, after high-energy impacts, and during the course of treatment for stroke and cancer. These injuries are difficult to heal due to the overwhelming size of the injury area and the inflammatory environment surrounding the injury. Significant inflammatory response after injury may greatly inhibit regenerative healing. We have developed mineralized collagen scaffolds that can induce osteogenic differentiation and matrix biosynthesis in the absence of osteogenic media or supplemental proteins. The amniotic membrane is derived from placentas and has been recently investigated as an extracellular matrix to prevent chronic inflammation. Herein, we hypothesized that a mineralized collagen-amnion composite scaffold could increase osteogenic activity in the presence of inflammatory cytokines. We report mechanical properties of a mineralized collagen-amnion scaffold and investigated osteogenic differentiation and mineral deposition of porcine adipose derived stem cells within these scaffolds as a function of inflammatory challenge. Incorporation of amniotic membrane matrix promotes osteogenesis similarly to un-modified mineralized collagen scaffolds, and increases in mineralized collagen-amnion scaffolds under inflammatory challenge. Together, these findings suggest that a mineralized collagen-amnion scaffold may provide a beneficial environment to aid craniomaxillofacial bone repair, especially in the course of defects presenting significant inflammatory complications.

bioengineering↗

bioRxiv2019

Dissociation of disease phenotype and allele silencing in hypertrophic cardiomyopathy

Allele-specific RNA silencing has been shown to be an effective therapeutic treatment in a number of diseases, including neurodegenerative disorders. Studies of allele-specific silencing in hypertrophic cardiomyopathy to date have focused on mouse models of disease. Here, we investigate two methods of allele-specific silencing, short hairpin RNA (shRNA) and antisense oligonucleotide (ASO) silencing, using a human induced pluripotent stem cell-derived cardiomyocyte (hiPSC-CM) model of disease. We used cellular micropatterning devices with traction force microscopy and automated video analysis to examine each strategys effects on contractile defects underlying disease. We find that shRNA silencing ameliorates contractile phenotypes of disease, reducing disease-associated increases in cardiomyocyte velocity, force, and power. We find that ASO silencing, while better able to target and knockdown a specific disease-associated allele, showed more modest improvements in contractile phenotypes. We find a dissociation between allelic-specificity and functional improvements between the two tested therapeutic strategies, suggesting a more complex method of allelic control underlying HCM-associated transcripts.\n\nAuthor summaryAllele-specific silencing, whereby a therapeutic molecule is used to lower the expression of just one of the two copies or alleles of a gene, may be a potential therapeutic strategy in diseases caused by a single mutation. In this paper, we examine two such strategies in hypertrophic cardiomyopathy, a disease characterized by an overgrowth of the left-ventricular heart muscle as well as contractile dysfunction. We used a human cell model of disease, creating induced pluripotent stem cell derived cardiomyocytes from a patient with HCM caused by a single base pair change in just one allele of the gene MYH7. We used two strategies to silence the disease-associated copy of MYH7, both focused on reducing RNA expression from the mutated allele, as well as state-of-the-art biophysical techniques for measuring contractility. We found that one silencing strategy, which reduced expression of both the disease-associated and the healthy alleles of MYH7, showed great improvements in contractility between treated and untreated cells. Our second strategy, which silenced only the disease-associated copy of MYH7, showed more modest improvements in contractility. This suggests that the disease mechanism underlying this type of hypertrophic cardiomyopathy may be more complex than just presence or absence of the mutated RNA.

genetics↗

bioRxiv2019

Targeted Long-Read RNA Sequencing Demonstrates Transcriptional Diversity Driven by Splice-Site Variation in MYBPC3

BackgroundClinical sequencing has traditionally focused on genomic DNA through the use of targeted panels and exome sequencing, rather than investigating the potential transcriptomic consequences of disease-associated variants. RNA sequencing has recently been shown to be an effective additional tool for identifying disease-causing variants. We here use targeted long-read genome and transcriptome sequencing to efficiently and economically identify molecular consequences of a rare, disease-associated variant in hypertrophic cardiomyopathy (HCM).\n\nMethods and ResultsOur study, which employed both Pacific Biosciences SMRT sequencing and Oxford Nanopore Technologies MinION sequencing, as well as two RNA targeting strategies, identified alternatively-spliced isoforms that resulted from a splice-site variant containing allele in HCM. These included a predicted in-frame exon-skipping event, as well as an abundance of additional isoforms with unexpected intron-inclusion, exon-extension, and pseudo-exon events. The use of long-read RNA sequencing allowed us to not only investigate full length alternatively-spliced transcripts but also to phase them back to the variant-containing allele.\n\nConclusionsWe suggest that targeted, long-read RNA sequencing in conjunction with genome sequencing may provide additional molecular evidence of disease for rare or de novo variants in cardiovascular disease, as well as providing new information about the consequence of these variants on downstream RNA and protein expression.

genetics↗

bioRxiv2017

Topography and refractometry of sperm cells using SLIM

Characterization of spermatozoon viability is a common test in treating infertility. Recently, it has been shown that label-free, phase-sensitive imaging can provide a valuable alternative for this type of assay. Here, we employ spatial light interference microscopy (SLIM) to decouple the thickness and refractive index information of individual cells. This procedure was enabled by quantitative phase imaging cells on media of two different refractive indices and using a numerical tool to remove the curvature from the cell tails. This way, we achieved ensemble averaging of topography and refractometry of 100 cells in each of the two groups. The results show that the thickness profile of the cell tail goes down to 150 nm and the refractive index can reach values of 1.6 close to the head.

cell biology↗