Biology subjects

Gerber, S.

Publications and source records attributed to Gerber, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2023

A mathematical model of the Alzheimer's Disease biomarker cascade demonstrates statistical pitfalls in identifying neurobiological surrogates of cognitive reserve

IntroductionIn order to investigate neurobiological surrogates of cognitive reserve, statistical interaction analyses have been put forward and used by several studies. However, as these neurobiological surrogates are potentially affected by neurodegeneration as part of the amyloid cascade, which is characterized by chronological time-moderated associations between biomarkers, cross sectional sampling in combination with the disregard of time as a confounder could introduce interaction effects that may be misinterpretabed as cognitive reserve in statistical analyses. MethodsWe modeled the amyloid cascade with a minimal set of three biomarkers amyloid load, corticospinal fluid tau, hippocampal volume and cognitive outcome using a differential equation system, whose parameters were estimated from empirical data from the ADNI. Interaction effects between pathology markers amyloid and tau with hippocampal volume as potential marker of cognitive reserve were estimated on two simulated data samples. Both samples were calculated from varying amyloid, tau and hippocampal volume for the initial configuration of individual trajectories. For Sample 1, data points were sampled at a fixed time after baseline. For Sample 2, data points were sampled at random time points. ResultsRegression analyses on Sample 1 yielded estimates for interaction effects of 0. For Sample 2, estimates were -.1692 and -.0807 for amyloid and tau with hippocampal volume, respectively. The interaction effect estimates for Sample 2 decreased several orders of magnitude when taking into account the timepoint of sampling. ConclusionStudies aiming to investigate neurobiological surrogates of cognitive reserve that are affected by Alzheimers Disease-related neurodegenerative processes need to consider inter-individually varying sampling time points in the data to avoid misinterpreting interaction effects.

neuroscience↗

bioRxiv2023

HyperPRI: A Dataset of Hyperspectral Images for Underground Plant Root Study

Collecting and analyzing hyperspectral imagery (HSI) of plant roots over time can enhance our understanding of their function, responses to environmental factors, turnover, and relationship with the rhizosphere. Current belowground red-green-blue (RGB) root imaging studies infer such functions from physical properties like root length, volume, and surface area. HSI provides a more complete spectral perspective of plants by capturing a high-resolution spectral signature of plant parts, which have extended studies beyond physical properties to include physiological properties, chemical composition, and phytopathology. Understanding crop plants physical, physiological, and chemical properties enables researchers to determine high-yielding, drought-resilient genotypes that can withstand climate changes and sustain future population needs. However, most HSI plant studies use cameras positioned above ground, and thus, similar belowground advances are urgently needed. One reason for the sparsity of belowground HSI studies is that root features often have limited distinguishing reflectance intensities compared to surrounding soil, potentially rendering conventional image analysis methods ineffective. Here we present HyperPRI, a novel dataset containing RGB and HSI data for in situ, non-destructive, underground plant root analysis using ML tools. HyperPRI contains images of plant roots grown in rhizoboxes for two annual crop species - peanut (Arachis hypogaea) and sweet corn (Zea mays). Drought conditions are simulated once, and the boxes are imaged and weighed on select days across two months. Along with the images, we provide hand-labeled semantic masks and imaging environment metadata. Additionally, we present baselines for root segmentation on this dataset and draw comparisons between methods that focus on spatial, spectral, and spatialspectral features to predict the pixel-wise labels. Results demonstrate that combining HyperPRIs hyperspectral and spatial information improves semantic segmentation of target objects.

plant biology↗

bioRxiv2023

Analysis of human BBS protein homologues in insects support alternative non-ciliary functions

Cilia and flagella were one of the characteristic traits of the last eukaryotic common ancestor and as such, are highly conserved among eukaryotes. Their proteomic makeup is consequently remarkably similar throughout all eukaryotic lineages. Recently, one subgroup of ciliary transport proteins in mammalian cells, the Bardet-Biedl Syndrome (BBS) proteins, was shown to have the ability to traverse the nuclear envelope, and to engage in protein-protein-interactions that modulate gene expression, signalling cascades, and cell homeostasis. Insects have been critically understudied in cilia biology because of their highly specialised cilia being localised on only a small subset of cell types. In this study, we present evidence that the BBSome, a hetero-octameric ciliary transport complex of BBS proteins, is largely conserved in multiple insect lineages. Using the honeybee Apis mellifera as a study system to explore BBS-associated gene expression, our analyses suggest that not all BBSome-associated genes are expressed equally, indicating possible non-ciliary functions. We also demonstrate that the expression of individual BBS proteins varies significantly between the tissues of queens and males in A. mellifera, especially in neuronal tissue. This result raises the question of what role BBS proteins play in these tissues and whether they are involved in gene regulation in insects. The potential gene regulatory function of BBS proteins should be explored in other eukaryotes due to their high degree of conservation.

evolutionary biology↗

bioRxiv2023

Dynamic X-chromosomal reactivation enhances female brain resilience

While random X-chromosome inactivation in female cells of placental mammalians silences one allele of the majority of X-chromosomal genes, a considerable fraction is only incompletely and variably inactivated resulting in a tissue-specific pattern of mono- and biallelic expression. Here we used clonal human female induced pluripotent stem cells (iPSCs) allowing to trace the (in)activation status of the two X-chromosomes individually along neural differentiation trajectories. We discovered X-chromosome-wide locus- and lineage-specific dynamic usage of the two X-chromosomal alleles in female cells induced by differentiation. Leveraging iPSCs derived from patients with an X-linked neurodevelopmental disorder, we demonstrate that activation of alleles on the inactive X-chromosome can exert protective effects on the manifestation of disease phenotypes in female neural cells and tissue. Taken together, our data demonstrate that alleles on the inactive X-chromosome can serve as a critical reservoir reactivated during differentiation, thereby enhancing resilience of female neural tissue.

neuroscience↗

bioRxiv2023

Nanopore adaptive sampling of a metagenomic sample derived from a human monkeypox case

In 2022, a series of human monkeypox cases in multiple countries led to the largest and most widespread outbreak outside the known endemic areas. Genomic surveillance is of utmost importance to control such outbreaks. To this end, we performed Nanopore Whole Genome Sequencing of a local monkeypox sample on a PromethION 24. Adaptive sampling was applied for in silico depletion of the human host genome, allowing for the enrichment of low abundance viral DNA without a priori knowledge of sample composition. Nanopore sequencing allowed for high viral genome coverage, tracking of sample composition during sequencing, strain determination, and preliminary assessment of mutational pattern. Nanopore sequencing is a highly versatile method to characterize a virus in real-time without pre-sequencing target enrichment.

microbiology↗

bioRxiv2022

NanopoReaTA: a user-friendly tool for nanopore-seq real-time transcriptional analysis

SummaryOxford Nanopore Technologies (ONT) sequencing platform offers an excellent opportunity to perform real-time analysis during sequencing. This feature allows for early insights into experimental data and accelerates a potential decision-making process for further analysis, which can be particularly relevant in the clinical context. Although some tools for the real-time analysis of DNA-sequencing data already exist, there is currently no application available for differential transcriptome data analysis designed for scientists or physicians with limited bioinformatics knowledge. Here we introduce NanopoReaTA, a user-friendly real-time analysis toolbox for RNA sequencing data from ONT. Sequencing results from a running or finished experiment are processed through an R Shiny-based graphical user interface (GUI) with an integrated Nextflow pipeline for whole transcriptome or gene-specific analyses. NanopoReaTA provides visual snapshots of a sequencing run in progress, thus enabling interactive sequencing and rapid decision-making that could also be applied to clinical cases. Availabilityhttps://github.com/AnWiercze/NanopoReaTA Contactbuttamer@uni-mainz.de and sugerber@uni-mainz.de

bioinformatics↗

bioRxiv2022

An rRNA fragment in extracellular vesicles secreted by human airway epithelial cells increases the fluoroquinolone sensitivity of P. aeruginosa

Lung infection by antibiotic resistant strains of Pseudomonas aeruginosa is a well-known concern for immunocompromised hosts including people with lung diseases such as cystic fibrosis. We have previously demonstrated that extracellular vesicles (EVs) secreted by primary human airway epithelial cells (AEC) deliver miRNA let-7b-5p to P. aeruginosa where it suppresses biofilm formation and increases sensitivity to beta-lactam antibiotics. In this study we used RNA-seq to characterize the small RNA (sRNA) content of EVs secreted by AEC and demonstrate transfer of multiple distinct RNA fragments from EVs to P. aeruginosa. Bioinformatic predictions reveal that several sRNAs may target all three subunits of the fluoroquinolone efflux pump MexHI-OpmD, an effect predicted to increase antibiotic sensitivity to fluoroquinolone antibiotics. Exposure of P. aeruginosa to EVs resulted in a significant reduction in the protein levels of MexH (-48%), MexI (-50%) and OpmD (-35%). Moreover, EVs reduced planktonic growth of P. aeruginosa in the presence of the fluoroquinolone antibiotic ciprofloxacin by 20%. A mexGHI-opmD deletion mutant of P. aeruginosa phenocopied this increased sensitivity to ciprofloxacin. Finally, we found that a fragment of an 18S rRNA external transcribed spacer that was transferred to P. aeruginosa by EVs was sufficient to reduce planktonic growth of P. aeruginosa in the presence of ciprofloxacin, to reduce the minimum inhibitory concentration (MIC) of P. aeruginosa for ciprofloxacin by over 50%, and to significantly reduce protein levels of MexH and OpmD. In conclusion, an rRNA fragment secreted by AEC in EVs increases the ciprofloxacin sensitivity of P. aeruginosa by targeting and down-regulating the fluoroquinolone efflux pump MexHI-OpmD. A combination of rRNA fragments and ciprofloxacin packaged in nanoparticles or EVs may benefit patients with antibiotic-resistant P. aeruginosa infections. Author SummaryAccording to the World Health Organization and the U.S. Centers for Disease Control and Prevention the development of antibiotic resistant strains of bacteria, including Pseudomonas aeruginosa, are a significant global threat to human health. Thus, development of new approaches to eliminate antibiotic resistant infections is required. In this study, we report that lung epithelial cells secrete extracellular vesicles (EVs) that fuse with and deliver small rRNAs to P. aeruginosa, and that the rRNAs increase the sensitivity of P. aeruginosa to the antibiotic ciprofloxacin by reducing protein levels of the drug efflux pump MexHI-OpmD. We identified one rRNA fragment that by itself significantly reduced the protein levels of MexH and OpmD and increased the ability of ciprofloxacin to kill P. aeruginosa. We propose that developing synthetic vesicles containing a combination of the rRNA that inhibits antibiotic efflux pumps and ciprofloxacin would benefit patients with antibiotic resistant P. aeruginosa infections.

microbiology↗

bioRxiv2021

Tobramycin suppresses cystic fibrosis lung inflammation by increasing 5' tRNA-fMet halves secreted by P. aeruginosa

Although inhaled tobramycin increases lung function in people with cystic fibrosis (pwCF), the density of P. aeruginosa in the lungs is only modestly reduced by tobramycin; hence, the mechanism whereby tobramycin improves lung function is unclear. Here, we demonstrate that tobramycin increases the abundance of two 5' tRNA-fMet halves in outer membrane vesicles (OMVs) secreted by P. aeruginosa and that the 5' tRNA-fMet halves reduce IL-8 secretion by CF bronchial epithelial cells (CF-HBECs). In mouse lung, the 5' tRNA-fMet halves attenuate KC secretion and neutrophil recruitment. We also report that the 5' tRNA-fMet halves suppress pro-inflammatory network gene expression by an Argonaut 2 (AGO2)-mediated gene silencing mechanism, thereby reducing IL-8 secretion in CF-HBECs. Moreover, tobramycin reduces the IL-8 concentration and neutrophil content in bronchoalveolar lavage fluid of pwCF. Thus, we conclude that tobramycin improves lung function in part by reducing chronic inflammation and neutrophil-mediated lung damage in pwCF.

immunology↗

bioRxiv2021

Quality-preserving low-cost probabilistic 3D denoising with applications to Computed Tomography

We propose a pipeline for a synthetic generation of personalized Computer Tomography (CT) images, with a radiation exposure evaluation and a lifetime attributable risk (LAR) assessment. We perform a patient-specific performance evaluation for a broad range of denoising algorithms (including the most popular Deep Learning denoising approaches, wavelets-based methods, methods based on Mumford-Shah denoising etc.), focusing both on accessing the capability to reduce the patient-specific CT-induced LAR and on computational cost scalability. We introduce a parallel probabilistic Mumford-Shah denoising model (PMS), showing that it markedly-outperforms the compared common denoising methods in denoising quality and cost scaling. In particular, we show that it allows an approximately 22-fold robust patient-specific LAR reduction for infants and a 10-fold LAR reduction for adults. Using a normal laptop the proposed algorithm for PMS allows a cheap and robust (with the Multiscale Structural Similartity index > 90%) denoising of very large 2D videos and 3D images (with over 107 voxels) that are subject to ultra-strong Gaussian and various non-Gaussian noises, also for Signal-to-Noise Ratios much below 1.0. The code is provided for open access. One-sentence summaryProbabilisitc formulation of Mumford-Shah principle (PMS) allows a cheap quality-preserving denoising of ultra-noisy 3D images and 2D videos.

bioinformatics↗

bioRxiv2021

Cellular calcium levels influenced by NCA-2 impact circadian period determination in Neurospora

Intracellular calcium signaling has been implicated in control of a variety of circadian processes in animals and plants but its role in microbial clocks has remained largely cryptic. To examine the role of intracellular Ca2+ in the Neurospora clock we screened knockouts of calcium transporter genes and identified a gene encoding a calcium exporter, nca-2, uniquely as having significant period effects. Loss of NCA-2 results in an increase in cytosolic calcium level, and this leads to hyper-phosphorylation of core clock components, FRQ and WC-1, and a short period as measured by both the core oscillator and overt clock. Genetic analyses showed that mutations in certain frq phospho-sites, and in Ca2+-calmodulin-dependent kinase (camk-2), are epistatic to nca-2 in controlling the pace of the oscillator. These data are consistent with a model in which elevated intracellular Ca+2 leads to increased activity of CAMK-2 leading to enhanced FRQ phosphorylation, accelerated closure of the circadian feedback loop, and a shortened circadian period length. At a mechanistic level some CAMKs undergo more auto-phosphorylations in {Delta}nca-2, consistent with high calcium in the {Delta}nca-2 mutant influencing the enzymatic activity of CAMKs. NCA-2 interacts with multiple proteins including CSP-6, a protein known to be required for circadian output. Most importantly, expression of nca-2 is circadian clock-controlled at both the transcriptional and translational levels, and this in combination with the period effects seen in strains lacking NCA-2, firmly places calcium signaling within the larger circadian system where it acts as both an input to and output from the core clock. ImportanceCircadian rhythms are based on cell-autonomous, auto-regulatory, feedback loops formed by interlocked positive and negative arms, and they regulate myriad molecular and cellular processes in most eukaryotes including fungi. Intracellular calcium signaling is also a process that impacts a broad range of biological events in most eukaryotes. Clues have suggested that calcium signaling can influence circadian oscillators through multiple pathways; however, mechanistic details have been lacking in microorganisms. Building on prior work describing calcium transporters in the fungus Neurospora, one such transporter, NCA-2, was identified as a regulator of circadian period length. Increased intracellular calcium levels caused by loss of NCA-2 results in over-activation of calcium-responsive protein kinases, in turn leading to a shortened circadian period length. Importantly, expression of NCA-2 is itself controlled by the molecular clock. In this way calcium signaling can be seen as providing both input to and output from the circadian system.

molecular biology↗

bioRxiv2021

tbg - a new file format for genomic data

MotivationThe question of determining whether a Single-Nucleotide Polymorphism (SNP) or a variant in general leads to a change in the amino acid sequence of a protein coding gene is often a laborious and time-consuming challenge. Here, we introduce the tbg file format for storing genomic data and tbg-tools, a user-friendly toolbox for the faster analysis of SNPs. The file format stores information for each nucleotide in each gene, allowing to predict which change in the amino acid sequence will be caused by a variant in the nucleotide sequence. Our new tool therefore has the potential to make biological sense of the unprecedented amount of genome-wide genetic variation that researchers currently face. ResultsThe new tab-separated file for storing the nucleotide data can be easily analyzed and used for a wide variety of biological research. It is also possible to automate some of these analyses using the additional analysis tools from tbg-tools Availabilitytbg-tools is written in Python and allows the installation from the command line. It can be found on https://github.com/Croxa/tbg-tools. Contactpschoenn@students.uni-mainz.de

genomics↗

bioRxiv2021

Streamlining differential exon and 3 UTR usage with diffUTR

BackgroundDespite the importance of alternative poly-adenylation and 3 UTR length for a variety of biological phenomena, there are limited means of detecting UTR changes from standard transcriptomic data. ResultsWe present the diffUTR Bioconductor package which streamlines and improves upon differential exon usage (DEU) analyses, and leverages existing DEU tools and alternative polyadenylation site databases to enable differential 3 UTR usage analysis. We demonstrate the diffUTR features and show that it is more flexible and more accurate than state-of-the-art alternatives, both in simulations and in real data. ConclusionsdiffUTR enables differential 3 UTR analysis and more generally facilitates DEU and the exploration of their results.

bioinformatics↗

bioRxiv2021

Surface-aerosol stability and pathogenicity of diverse MERS-CoV strains from 2012 - 2018

Middle East Respiratory Syndrome coronavirus (MERS-CoV) is a coronavirus that infects both humans and dromedary camels and is responsible for an ongoing outbreak of severe respiratory illness in humans in the Middle East. While some mutations found in camel-derived MERS-CoV strains have been characterized, the majority of natural variation found across MERS-CoV isolates remains unstudied. Here we report on the environmental stability, replication kinetics and pathogenicity of several diverse isolates of MERS-CoV as well as SARS-CoV-2 to serve as a basis of comparison with other stability studies. While most of the MERS-CoV isolates exhibited similar stability and pathogenicity in our experiments, the camel derived isolate, C/KSA/13, exhibited reduced surface stability while another camel isolate, C/BF/15, had reduced pathogenicity in a small animal model. These results suggest that while betacoronaviruses may have similar environmental stability profiles, individual variation can influence this phenotype, underscoring the importance of continual, global viral surveillance.

microbiology↗

bioRxiv2020

Genomic basis of drought resistance in Fagus sylvatica

In the course of global climate change, central Europe is experiencing more frequent and prolonged periods of drought. The drought years 2018 and 2019 affected European beeches (Fagus sylvatica L.) differently: even in the same stand, drought damaged trees neighboured healthy trees, suggesting that the genotype rather than the environment was responsible for this conspicuous pattern. We used this natural experiment to study the genomic basis of drought resistance with Pool-GWAS. Contrasting the extreme phenotypes identified 106 significantly associated SNPs throughout the genome. Most annotated genes with associated SNPs (>70%) were previously implicated in the drought reaction of plants. Non-synonymous substitutions led either to a functional amino acid exchange or premature termination. A SNP-assay with 70 loci allowed predicting drought phenotype in 98.6% of a validation sample of 92 trees. Drought resistance in European beech is a moderately polygenic trait that should respond well to natural selection, selective management, and breeding. Impact StatementEuropean beech harbours substantial genetic variation at genomic loci associated with drought resistance and the loci identified in this study can help to accelerate and monitor adaptation to climate change.

plant biology↗

bioRxiv2020

Isolation of nuclei and downstream processing of cell-type-specific nuclei from micro-dissected mouse brain regions - techniques and caveats.

The mammalian brain consists of several structurally and functionally distinct regions equipped with an equally complex cell-type system. Due to its relevance in uncovering disease mechanisms, the study of cell-type-specific molecular signatures of different brain regions has increased. The rapid evolution of newer and cheaper sequencing techniques has also boosted the interest in cell-type-specific epigenetic studies. In fact, the nucleus holds most of the cells epigenetic information and is quite resistant to tissue dissociation processes as compared to cells. As such, nuclei are continually preferred over cells for epigenetic studies. However, the isolation of nuclei from cells is still a biochemically complex process, with every step affecting downstream results. Therefore, it is necessary to use protocols that fit the experimental design to yield nuclei of high quality and quantity. However, the current protocols are not suitable for nuclei isolation of small volumes of micro-dissected brain regions from individual mouse brains. Additionally, the caveats associated with centrifugation steps of nuclei extraction and the effects of different buffers have not been thoroughly investigated. Therefore, in this study, we describe an iodixanol based density gradient ultracentrifugation protocol suitable for micro-dissected brain regions from individual mice using ArccreERT2 (TG/WT).R26CAG-Sun1-sfGFP-Myc (M/WT or M/M). This mouse model shows sfGFP expression (sfGFP+) in the nuclear membrane of specific stimulus activated cells, thereby providing a good basis for the study - nuclei isolation and separation of cell-type-specific nuclei. The study also introduces new tools for rapid visualization and assessment of quality and quantity of nascent extracted nuclei. These tools were then used to examine critical morphological features of nuclei derived from different centrifugation methods and the use of different buffers to uncover underlying effects. Finally, to obtain cell-type-specific nuclei (sfGFP+ nuclei) from the isolated nuclei pool of high viscosity, an optimized protocol for fluorescence activated nuclei sorting (FANS) was established to speed up sorting. Additionally, we present a 1% PFA protocol for fixation of isolated nuclei for long term microscopic visualization.

cell biology↗

bioRxiv2020

mTOR inhibition in primary neurons and the developing brain represses transcription of cholesterol biosynthesis genes and alters cholesterol levels

Dysregulated mammalian target of rapamycin (mTOR) activity is associated with various neurodevelopmental disorders ranging from idiopathic autism spectrum disorders to syndromes caused by single gene defects. This suggests that maintaining mTOR activity levels in a physiological range is essential for brain development and functioning. Upon activation, mTOR regulates a variety of cellular processes such as cell growth, autophagy and metabolism. On a molecular level, however, the consequences of mTOR activation in the brain are not well understood. Low levels of cholesterol are associated with a wide variety of neurodevelopmental disorders. We here describe numerous genes of the sterol/cholesterol biosynthesis pathway to be transcriptionally regulated by mTOR complex 1 (mTORC1) signaling in vitro in primary neurons and in vivo in the developing cerebral cortex of the mouse. We find that these genes are shared targets of the transcription factors SREBP, SP1 and NF-Y. Prenatal as well as postnatal mTORC1 inhibition downregulated expression of these genes which directly translated into reduced cholesterol levels pointing towards a substantial metabolic function of the mTORC1 signaling cascade. Altogether, our results indicate that mTORC1 is an essential transcriptional regulator of the expression of sterol/cholesterol biosynthesis genes in the developing brain. Altered expression of these genes may be an important factor contributing to the pathogenesis of neurodevelopmental disorders associated with dysregulated mTOR signaling.

neuroscience↗

bioRxiv2020

The folate antagonist methotrexate diminishes replication of the coronavirus SARS-CoV-2 and enhances the antiviral efficacy of remdesivir in cell culture models

The search for successful therapies of infections with the coronavirus SARS-CoV-2 is ongoing. We tested inhibition of host cell nucleotide synthesis as a promising strategy to decrease the replication of SARS-CoV-2-RNA, thus diminishing the formation of virus progeny. Methotrexate (MTX) is an established drug for cancer therapy and to induce immunosuppression. The drug inhibits dihydrofolate reductase and other enzymes required for the synthesis of nucleotides. Strikingly, the replication of SARS-CoV-2 was inhibited by MTX in therapeutic concentrations around 1 M, leading to more than 1000-fold reductions in virus progeny in Vero C1008 (Vero E6) as well as Calu-3 cells. Virus replication was more sensitive to equivalent concentrations of MTX than of the established antiviral agent remdesivir. MTX strongly diminished the synthesis of viral structural proteins and the amount of released virus RNA. Virus replication and protein synthesis were rescued by folinic acid (leucovorin) and also by inosine, indicating that purine depletion is the principal mechanism that allows MTX to reduce virus RNA synthesis. The combination of MTX with remdesivir led to synergistic impairment of virus replication, even at 300 nM MTX. The use of MTX in treating SARS-CoV-2 infections still awaits further evaluation regarding toxicity and efficacy in infected organisms, rather than cultured cells. Within the frame of these caveats, however, our results raise the perspective of a two-fold benefit from repurposing MTX for treating COVID-19. Firstly, its previously known ability to reduce aberrant inflammatory responses might dampen respiratory distress. In addition, its direct antiviral activity described here would limit the dissemination of the virus. SIGNIFICANCEO_LIMTX is one of the earliest cancer drugs to be developed, giving rise to seven decades of clinical experience. It is on the World Health Organizations List of Essential Medicines, can be administered orally or parenterally, and its costs are at single digit {euro} or $ amounts/day for standard treatment. In case of its successful further preclinical evaluation for treating SARS-CoV-2 infections, its repurposing to treat COVID-19 would thus be feasible, especially under low-resource conditions. C_LIO_LIAdditional drugs exist to interfere with the synthesis of nucleotides, e.g. additional folate antagonists, inhibitors of GMP synthetase, or inhibitors of dihydroorotate dehydrogenase (DHODH). Such inhibitors have been approved as drugs for different purposes and might represent further therapeutic options against infections with SARS-CoV-2 C_LIO_LIRemdesivir is currently the most established drug for treating COVID-19. Our results argue that MTX and remdesivir, even at moderate concentrations, can act in a synergistic fashion to repress virus replication to a considerably greater extent than either drug alone. C_LIO_LICOVID-19, in its severe forms, is characterized by pneumonia and acute respiratory distress syndrome, and additional organ involvements. These manifestations are not necessarily a direct consequence of virus replication and cytopathic effects, but rather a result of an uncontrolled inflammatory and immune response. Anti-inflammatory drugs such as glucocorticoids are thus being evaluated for treating COVID-19. However, this bears the risk of re-activating virus spread by suppressing a sufficient and specific immune response. In this situation, it is tempting to speculate that MTX might suppress both excessive inflammation as well as virus replication at the same time, thus limiting both the pathogenesis of pneumonia and also the spread of virus within a patient. C_LI

molecular biology↗

bioRxiv2020

Insight into biogeochemical models from Scale Transition Theory: a dimensionless, scale-free approach

Leading an effective response to the accelerating crisis of anthropogenic climate change will require improved understanding of global carbon cycling. A critical source of uncertainty in Earth Systems Models (ESMs) is the role of microbes in mediating both the formation and decomposition of soil organic matter, and hence in determining patterns of CO2 efflux. Traditionally, ESMs model carbon turnover as a first order process impacted primarily by abiotic factors, whereas contemporary biogeochemical models often explicitly represent the microbial biomass and enzyme pools as the active agents of decomposition. However, the combination of non-linear microbial kinetics and ecological heterogeneity across space guarantees that upscaled dyamics will violate mean-field assumptions via Jensens Inequality. Violations of mean-field assumptions mean that parameter estimates from models fit to upscaled data (e.g. eddy covariance towers) are likely systematically biased. Here we present a generic mathematical analysis of upscaled michaelis-menten kinetics, grounded in Scale Transition Theory. We advance the framework by providing solutions in dimensionless form, and illustrate how this approach facilitates qualitative insight into the significance of this scale transition, and argue that it will facilitate future cross site intercomparisons of scale transition effects from flux data. We also discuss the critical terms that need to be constrained in order to unbias parameter estimates.

ecology↗