Systems Biology

Deciphering Nutritional Stress Responses via Knowledge-Enriched Transcriptomics for Microbial Engineering

Sun, 2024-06-02 06:00

Metab Eng. 2024 May 31:S1096-7176(24)00073-9. doi: 10.1016/j.ymben.2024.05.007. Online ahead of print.

ABSTRACT

Understanding diverse bacterial nutritional requirements and responses is foundational in microbial research and biotechnology. In this study, we employed knowledge-enriched transcriptomic analytics to decipher complex stress responses of Vibrio natriegens to supplied nutrients, aiming to enhance microbial engineering efforts. We computed 64 independently modulated gene sets that comprise a quantitative basis for transcriptome dynamics across a comprehensive transcriptomics dataset containing a broad array of nutrient conditions. Our approach led to the i) identification of novel transporter systems for diverse substrates, ii) a detailed understanding of how trace elements affect metabolism and growth, and iii) extensive characterization of nutrient-induced stress responses, including osmotic stress, low glycolytic flux, proteostasis, and altered protein expression. By clarifying the relationship between the acetate-associated regulon and glycolytic flux status of various nutrients, we have showcased its vital role in directing optimal carbon source selection. Our findings offer deep insights into the transcriptional landscape of bacterial nutrition and underscore its significance in tailoring strain engineering strategies, thereby facilitating the development of more efficient and robust microbial systems for biotechnological applications.

PMID:38825177 | DOI:10.1016/j.ymben.2024.05.007

Categories: Literature Watch

Resistance training in women with myotonic dystrophy type 1: a multisystemic therapeutic avenue

Sun, 2024-06-02 06:00

Neuromuscul Disord. 2024 May 16;40:38-51. doi: 10.1016/j.nmd.2024.05.009. Online ahead of print.

ABSTRACT

Myotonic dystrophy type 1 (DM1) is a hereditary disease characterized by muscular impairments. Fundamental and clinical positive effects of strength training have been reported in men with DM1, but its impact on women remains unknown. We evaluated the effects of a 12-week supervised strength training on physical and neuropsychiatric health. Women with DM1 performed a twice-weekly supervised resistance training program (3 series of 6-8 repetitions of squat, leg press, plantar flexion, knee extension, and hip abduction). Lower limb muscle strength, physical function, apathy, anxiety and depression, fatigue and excessive somnolence, pain, and patient-reported outcomes were assessed before and after the intervention, as well as three and six months after completion of the training program. Muscle biopsies of the vastus lateralis were also taken before and after the training program to assess muscle fiber growth. Eleven participants completed the program (attendance: 98.5 %). Maximal hip and knee extension strength (p < 0.006), all One-Repetition Maximum strength measures (p < 0.001), apathy (p = 0.0005), depression (p = 0.02), pain interference (p = 0.01) and perception of the lower limb function (p = 0.003) were significantly improved by training. Some of these gains were maintained up to six months after the training program. Strength training is a good therapeutic strategy for women with DM1.

PMID:38824906 | DOI:10.1016/j.nmd.2024.05.009

Categories: Literature Watch

Predicting gene expression state and prioritizing putative enhancers using 5hmC signal

Sun, 2024-06-02 06:00

Genome Biol. 2024 Jun 3;25(1):142. doi: 10.1186/s13059-024-03273-z.

ABSTRACT

BACKGROUND: Like its parent base 5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC) is a direct epigenetic modification of cytosines in the context of CpG dinucleotides. 5hmC is the most abundant oxidized form of 5mC, generated through the action of TET dioxygenases at gene bodies of actively-transcribed genes and at active or lineage-specific enhancers. Although such enrichments are reported for 5hmC, to date, predictive models of gene expression state or putative regulatory regions for genes using 5hmC have not been developed.

RESULTS: Here, by using only 5hmC enrichment in genic regions and their vicinity, we develop neural network models that predict gene expression state across 49 cell types. We show that our deep neural network models distinguish high vs low expression state utilizing only 5hmC levels and these predictive models generalize to unseen cell types. Further, in order to leverage 5hmC signal in distal enhancers for expression prediction, we employ an Activity-by-Contact model and also develop a graph convolutional neural network model with both utilizing Hi-C data and 5hmC enrichment to prioritize enhancer-promoter links. These approaches identify known and novel putative enhancers for key genes in multiple immune cell subsets.

CONCLUSIONS: Our work highlights the importance of 5hmC in gene regulation through proximal and distal mechanisms and provides a framework to link it to genome function. With the recent advances in 6-letter DNA sequencing by short and long-read techniques, profiling of 5mC and 5hmC may be done routinely in the near future, hence, providing a broad range of applications for the methods developed here.

PMID:38825692 | DOI:10.1186/s13059-024-03273-z

Categories: Literature Watch

Inside the microbial black box: a redox-centric framework for deciphering microbial metabolism

Sun, 2024-06-02 06:00

Trends Microbiol. 2024 Jun 1:S0966-842X(24)00134-3. doi: 10.1016/j.tim.2024.05.003. Online ahead of print.

ABSTRACT

Microbial metabolism influences the global climate and human health and is governed by the balance between NADH and NAD+ through redox reactions. Historically, oxidative (i.e., catabolism) and reductive (i.e., fermentation) pathways have been studied in isolation, obscuring the complete metabolic picture. However, new omics technologies and biotechnological tools now allow an integrated system-level understanding of the drivers of microbial metabolism through observation and manipulation of redox reactions. Here we present perspectives on the importance of viewing microbial metabolism as the dynamic interplay between oxidative and reductive processes and apply this framework to diverse microbial systems. Additionally, we highlight novel biotechnologies to monitor and manipulate microbial redox status to control metabolism in unprecedented ways. This redox-focused systems biology framework enables a more mechanistic understanding of microbial metabolism.

PMID:38825550 | DOI:10.1016/j.tim.2024.05.003

Categories: Literature Watch

Energy Transfer Between i-Motif DNA Encapsulated Silver Nanoclusters and Fluorescein Amidite Efficiently Visualizes the Redox State of Live Cells

Sun, 2024-06-02 06:00

Small. 2024 Jun 2:e2401629. doi: 10.1002/smll.202401629. Online ahead of print.

ABSTRACT

The redox regulation, maintaining a balance between oxidation and reduction in living cells, is vital for cellular homeostasis, intricate signaling networks, and appropriate responses to physiological and environmental cues. Here, a novel redox sensor, based on DNA-encapsulated silver nanoclusters (DNA/AgNCs) and well-defined chemical fluorophores, effectively illustrating cellular redox states in live cells is introduced. Among various i-motif DNAs, the photophysical property of poly-cytosines (C20)-encapsulated AgNCs that sense reactive oxygen species (ROS) is adopted. However, the sensitivity of C20/AgNCs is insufficient for evaluating ROS levels in live cells. To overcome this drawback, the ROS sensing mechanism of C20/AgNCs through gel electrophoresis, mass spectrometry, and small-angle X-ray scattering is primarily defined. Then, by tethering fluorescein amidite (FAM) and Cyanine 5 (Cy5) dyes to each end of the C20/AgNCs sensor, an Energy Transfer (ET) between AgNCs and FAM is achieved, resulting in intensified green fluorescence upon ROS detection. Taken together, the FAM-C20/AgNCs-Cy5 redox sensor enables dynamic visualization of intracellular redox states, yielding insights into oxidative stress-related processes in live cells.

PMID:38824675 | DOI:10.1002/smll.202401629

Categories: Literature Watch

A quality by design approach to optimise disulfide-linked hyaluronic acid hydrogels

Sat, 2024-06-01 06:00

Carbohydr Polym. 2024 Sep 1;339:122251. doi: 10.1016/j.carbpol.2024.122251. Epub 2024 May 11.

ABSTRACT

In this study, the disulfide-linked hyaluronic acid (HA) hydrogels were optimised for potential application as a scaffold in tissue engineering through the Quality by Design (QbD) approach. For this purpose, HA was first modified by incorporating the cysteine moiety into the HA backbone, which promoted the formation of disulfide cross-linked HA hydrogel at physiological pH. Utilising a Design of Experiments (DoE) methodology, the critical factors to achieve stable biomaterials, i.e. the degree of HA substitution, HA molecular weight, and coupling agent ratio, were explored. To establish a design space, the DoE was performed with 65 kDa, 138 kDa and 200 kDa HA and variable concentrations of coupling agent to optimise conditions to obtain HA hydrogel with improved rheological properties. Thus, HA hydrogel with a 12 % degree of modification, storage modulus of ≈2321 Pa and loss modulus of ≈15 Pa, was achieved with the optimum ratio of coupling agent. Furthermore, biocompatibility assessments in C28/I2 chondrocyte cells demonstrated the non-toxic nature of the hydrogel, underscoring its potential for tissue regeneration. Our findings highlight the efficacy of the QbD approach in designing HA hydrogels with tailored properties for biomedical applications.

PMID:38823918 | DOI:10.1016/j.carbpol.2024.122251

Categories: Literature Watch

Kuwanon C inhibits proliferation and induction of apoptosis via the intrinsic pathway in MDA-MB231 and T47D breast cancer cells

Sat, 2024-06-01 06:00

Steroids. 2024 May 30:109450. doi: 10.1016/j.steroids.2024.109450. Online ahead of print.

ABSTRACT

Breast cancer ranks as the most prevalent malignancy, presenting persistent therapeutic challenges encompassing issues such as drug resistance, recurrent occurrences, and metastatic progression. Therefore, there is a need for targeted drugs that are less toxic and more effective against breast cancer. Kuwanon C, an isoamylated flavonoid derived from mulberry resources, has shown promise as a potential candidate due to its strong cytotoxicity against cancer cells. The present study focused on investigating the anticancer activity of kuwanon C in two human breast cancer cell lines, MDA-MB231 and T47D cells. MTS assay results indicated a decrease in cell proliferation with increasing concentrations of kuwanon C. Furthermore, kuwanon C upregulated the expression levels of the cyclin-dependent kinase inhibitor p21 and effectively inhibited cell DNA replication and induced DNA damage. Flow cytometry confirmed that kuwanon C induced cell apoptosis and upregulated the expression levels of pro-apoptotic proteins (Bax and c-caspase3). Additionally, it stimulated the production of reactive oxygen species (ROS) in the cells. Transmission electron microscopy and Fluo-4 AM-calcium ion staining experiments provided insights into the endoplasmic reticulum (ER), revealing that kuwanon C induced ER stress. Kuwanon C upregulated the expression levels of unfolded protein response-related proteins (ATF4, GADD34, HSPA5, and DDIT3). Overall, the present findings suggested that kuwanon C exerts a potent inhibitory effect on breast cancer cell proliferation through modulating of the p21, induction of mitochondrial-mediated apoptosis, activation of ER stress and induction of DNA damage. These results position kuwanon C as a potential targeted therapeutic agent for breast cancer.

PMID:38823755 | DOI:10.1016/j.steroids.2024.109450

Categories: Literature Watch

Tissue module discovery in single-cell-resolution spatial transcriptomics data via cell-cell interaction-aware cell embedding

Sat, 2024-06-01 06:00

Cell Syst. 2024 May 29:S2405-4712(24)00124-8. doi: 10.1016/j.cels.2024.05.001. Online ahead of print.

ABSTRACT

Computational methods are desired for single-cell-resolution spatial transcriptomics (ST) data analysis to uncover spatial organization principles for how individual cells exert tissue-specific functions. Here, we present ST data analysis via interaction-aware cell embedding (SPACE), a deep-learning method for cell-type identification and tissue module discovery from single-cell-resolution ST data by learning a cell representation that captures its gene expression profile and interactions with its spatial neighbors. SPACE identified spatially informed cell subtypes defined by their special spatial distribution patterns and distinct proximal-interacting cell types. SPACE also automatically discovered "cell communities"-tissue modules with discernible boundaries and a uniform spatial distribution of constituent cell types. For each cell community, SPACE outputs a characteristic proximal cell-cell interaction network associated with physiological processes, which can be used to refine ligand-receptor-based intercellular signaling analyses. We envision that SPACE can be used in large-scale ST projects to understand how proximal cell-cell interactions contribute to emergent biological functions within cell communities. A record of this paper's transparent peer review process is included in the supplemental information.

PMID:38823396 | DOI:10.1016/j.cels.2024.05.001

Categories: Literature Watch

Pleiotropy, a feature or a bug? Toward co-ordinating plant growth, development, and environmental responses through engineering plant hormone signaling

Sat, 2024-06-01 06:00

Curr Opin Biotechnol. 2024 May 30;88:103151. doi: 10.1016/j.copbio.2024.103151. Online ahead of print.

ABSTRACT

The advent of gene editing technologies such as CRISPR has simplified co-ordinating trait development. However, identifying candidate genes remains a challenge due to complex gene networks and pathways. These networks exhibit pleiotropy, complicating the determination of specific gene and pathway functions. In this review, we explore how systems biology and single-cell sequencing technologies can aid in identifying candidate genes for co-ordinating specifics of plant growth and development within specific temporal and tissue contexts. Exploring sequence-function space of these candidate genes and pathway modules with synthetic biology allows us to test hypotheses and define genotype-phenotype relationships through reductionist approaches. Collectively, these techniques hold the potential to advance breeding and genetic engineering strategies while also addressing genetic diversity issues critical for adaptation and trait development.

PMID:38823314 | DOI:10.1016/j.copbio.2024.103151

Categories: Literature Watch

A cis-regulatory module underlies retinal ganglion cell genesis and axonogenesis

Sat, 2024-06-01 06:00

Cell Rep. 2024 May 31;43(6):114291. doi: 10.1016/j.celrep.2024.114291. Online ahead of print.

ABSTRACT

Atoh7 is transiently expressed in retinal progenitor cells (RPCs) and is required for retinal ganglion cell (RGC) differentiation. In humans, a deletion in a distal non-coding regulatory region upstream of ATOH7 is associated with optic nerve atrophy and blindness. Here, we functionally interrogate the significance of the Atoh7 regulatory landscape to retinogenesis in mice. Deletion of the Atoh7 enhancer structure leads to RGC deficiency, optic nerve hypoplasia, and retinal blood vascular abnormalities, phenocopying inactivation of Atoh7. Further, loss of the Atoh7 remote enhancer impacts ipsilaterally projecting RGCs and disrupts proper axonal projections to the visual thalamus. Deletion of the Atoh7 remote enhancer is also associated with the dysregulation of axonogenesis genes, including the derepression of the axon repulsive cue Robo3. Our data provide insights into how Atoh7 enhancer elements function to promote RGC development and optic nerve formation and highlight a key role of Atoh7 in the transcriptional control of axon guidance molecules.

PMID:38823017 | DOI:10.1016/j.celrep.2024.114291

Categories: Literature Watch

Noise or signal? Spontaneous activity of dorsal horn neurons: patterns and function in health and disease

Sat, 2024-06-01 06:00

Pflugers Arch. 2024 Jun 1. doi: 10.1007/s00424-024-02971-8. Online ahead of print.

ABSTRACT

Spontaneous activity refers to the firing of action potentials by neurons in the absence of external stimulation. Initially considered an artifact or "noise" in the nervous system, it is now recognized as a potential feature of neural function. Spontaneous activity has been observed in various brain areas, in experimental preparations from different animal species, and in live animals and humans using non-invasive imaging techniques. In this review, we specifically focus on the spontaneous activity of dorsal horn neurons of the spinal cord. We use a historical perspective to set the basis for a novel classification of the different patterns of spontaneous activity exhibited by dorsal horn neurons. Then we examine the origins of this activity and propose a model circuit to explain how the activity is generated and transmitted to the dorsal horn. Finally, we discuss possible roles of this activity during development and during signal processing under physiological conditions and pain states. By analyzing recent studies on the spontaneous activity of dorsal horn neurons, we aim to shed light on its significance in sensory processing. Understanding the different patterns of activity, the origins of this activity, and the potential roles it may play, will contribute to our knowledge of sensory mechanisms, including pain, to facilitate the modeling of spinal circuits and hopefully to explore novel strategies for pain treatment.

PMID:38822875 | DOI:10.1007/s00424-024-02971-8

Categories: Literature Watch

Ceftriaxone reverses diet-induced deficits in goal-directed control

Sat, 2024-06-01 06:00

Psychopharmacology (Berl). 2024 Jun 1. doi: 10.1007/s00213-024-06621-w. Online ahead of print.

ABSTRACT

RATIONALE: Obesity is associated with numerous health risks and ever-increasing rates are a significant global concern. However, despite weight loss attempts many people have difficulty maintaining weight loss. Previous studies in animals have shown that chronic access to an obesogenic diet can disrupt goal-directed behavior, impairing the ability of animals to flexibly adjust food-seeking behavior following changes in the value of earned outcomes. Changes in behavioral control have been linked to disruption of glutamate transmission in the dorsal medial striatum (DMS), a region critical for the acquisition and expression of goal-directed behavior.

OBJECTIVES: The goal of this study was to test whether ceftriaxone, a beta-lactam antibiotic shown elsewhere to upregulate the expression of the glutamate transporter GLT-1, would improve goal-directed control following long-term exposure to an obesogenic diet.

METHODS: Male and female rats were given access to either standard chow or chow plus sweetened condensed milk (SCM) for 6 weeks. Access to SCM was ended and rats received daily injections of either ceftriaxone or saline for 6 days. Rats were then trained to press a lever to earn a novel food reward and, finally, were assessed for sensitivity to outcome devaluation. Histological analyses examined changes to GLT-1 protein levels and morphological changes to astrocytes, within the DMS.

RESULTS: We found that ceftriaxone robustly restored goal-directed behavior in animals following long-term exposure to SCM. While we did not observe changes in protein levels of GLT-1 in the DMS, we observed that SCM induced changes in the morphology of astrocytes in the DMS, and that ceftriaxone mitigated these changes.

CONCLUSIONS: These results demonstrate that long-term access to a SCM diet impairs goal-directed behavior while also altering the morphology of astrocytes in the DMS. Furthermore, these results suggest that ceftriaxone administration can reverse the impairment of goal-directed behavior potentially through its actions on astrocytes in decision-making circuitry.

PMID:38822850 | DOI:10.1007/s00213-024-06621-w

Categories: Literature Watch

Adaptation to bioinvasions: When does it occur?

Sat, 2024-06-01 06:00

Glob Chang Biol. 2024 Jun;30(6):e17362. doi: 10.1111/gcb.17362.

ABSTRACT

The presence of alien species represents a major cause of habitat degradation and biodiversity loss worldwide, constituting a critical environmental challenge of our time. Despite sometimes experiencing reduced propagule pressure, leading to a reduced genetic diversity and an increased chance of inbreeding depression, alien invaders are often able to thrive in the habitats of introduction, giving rise to the so-called "genetic paradox" of biological invasions. The adaptation of alien species to the new habitats is therefore a complex aspect of biological invasions, encompassing genetic, epigenetic, and ecological processes. Albeit numerous studies and reviews investigated the mechanistic foundation of the invaders' success, and aimed to solve the genetic paradox, still remains a crucial oversight regarding the temporal context in which adaptation takes place. Given the profound knowledge and management implications, this neglected aspect of invasion biology should receive more attention when examining invaders' ability to thrive in the habitats of introduction. Here, we discuss the adaptation mechanisms exhibited by alien species with the purpose of highlighting the timing of their occurrence during the invasion process. We analyze each stage of the invasion separately, providing evidence that adaptation mechanisms play a role in all of them. However, these mechanisms vary across the different stages of invasion, and are also influenced by other factors, such as the transport speed, the reproduction type of the invader, and the presence of human interventions. Finally, we provide insights into the implications for management, and identify knowledge gaps, suggesting avenues for future research that can shed light on species adaptability. This, in turn, will contribute to a more comprehensive understanding of biological invasions.

PMID:38822565 | DOI:10.1111/gcb.17362

Categories: Literature Watch

Simplifications and approximations in a single-gene circuit modeling

Fri, 2024-05-31 06:00

Sci Rep. 2024 May 31;14(1):12498. doi: 10.1038/s41598-024-63265-8.

ABSTRACT

The absence of detailed knowledge about regulatory interactions makes the use of phenomenological assumptions mandatory in cell biology modeling. Furthermore, the challenges associated with the analysis of these models compel the implementation of mathematical approximations. However, the constraints these methods introduce to biological interpretation are sometimes neglected. Consequently, understanding these restrictions is a very important task for systems biology modeling. In this article, we examine the impact of such simplifications, taking the case of a single-gene autoinhibitory circuit; however, our conclusions are not limited solely to this instance. We demonstrate that models grounded in the same biological assumptions but described at varying levels of detail can lead to different outcomes, that is, different and contradictory phenotypes or behaviors. Indeed, incorporating specific molecular processes like translation and elongation into the model can introduce instabilities and oscillations not seen when these processes are assumed to be instantaneous. Furthermore, incorporating a detailed description of promoter dynamics, usually described by a phenomenological regulatory function, can lead to instability, depending on the cooperative binding mechanism that is acting. Consequently, although the use of a regulating function facilitates model analysis, it may mask relevant aspects of the system's behavior. In particular, we observe that the two cooperative binding mechanisms, both compatible with the same sigmoidal function, can lead to different phenotypes, such as transcriptional oscillations with different oscillation frequencies.

PMID:38822072 | DOI:10.1038/s41598-024-63265-8

Categories: Literature Watch

Targeting MYC effector functions in pancreatic cancer by inhibiting the ATPase RUVBL1/2

Fri, 2024-05-31 06:00

Gut. 2024 May 31:gutjnl-2023-331519. doi: 10.1136/gutjnl-2023-331519. Online ahead of print.

ABSTRACT

OBJECTIVE: The hallmark oncogene MYC drives the progression of most tumours, but direct inhibition of MYC by a small-molecule drug has not reached clinical testing. MYC is a transcription factor that depends on several binding partners to function. We therefore explored the possibility of targeting MYC via its interactome in pancreatic ductal adenocarcinoma (PDAC).

DESIGN: To identify the most suitable targets among all MYC binding partners, we constructed a targeted shRNA library and performed screens in cultured PDAC cells and tumours in mice.

RESULTS: Unexpectedly, many MYC binding partners were found to be important for cultured PDAC cells but dispensable in vivo. However, some were also essential for tumours in their natural environment and, among these, the ATPases RUVBL1 and RUVBL2 ranked first. Degradation of RUVBL1 by the auxin-degron system led to the arrest of cultured PDAC cells but not untransformed cells and to complete tumour regression in mice, which was preceded by immune cell infiltration. Mechanistically, RUVBL1 was required for MYC to establish oncogenic and immunoevasive gene expression identifying the RUVBL1/2 complex as a druggable vulnerability in MYC-driven cancer.

CONCLUSION: One implication of our study is that PDAC cell dependencies are strongly influenced by the environment, so genetic screens should be performed in vitro and in vivo. Moreover, the auxin-degron system can be applied in a PDAC model, allowing target validation in living mice. Finally, by revealing the nuclear functions of the RUVBL1/2 complex, our study presents a pharmaceutical strategy to render pancreatic cancers potentially susceptible to immunotherapy.

PMID:38821858 | DOI:10.1136/gutjnl-2023-331519

Categories: Literature Watch

Glycyrrhizic acid conjugates with amino acid methyl esters target the main protease, exhibiting antiviral activity against wild-type and nirmatrelvir-resistant SARS-CoV-2 variants

Fri, 2024-05-31 06:00

Antiviral Res. 2024 May 29:105920. doi: 10.1016/j.antiviral.2024.105920. Online ahead of print.

ABSTRACT

COVID-19 pandemic is predominantly caused by SARS-CoV-2, with its main protease, Mpro, playing a pivotal role in viral replication and serving as a potential target for inhibiting different variants. In this study, potent Mpro inhibitors were identified from glycyrrhizic acid (GL) derivatives with amino acid methyl/ethyl esters. Out of the 17 derivatives semisynthesized, Compounds 2, 6, 9, and 15, with methionine methyl esters, D-tyrosine methyl esters, glutamic acid methyl esters, and methionines in the carbohydrate moiety, respectively, significantly inhibited wild-type SARS-CoV-2 Mpro-mediated proteolysis, with IC50 values ranging from 0.06 μM to 0.84 μM. They also demonstrated efficacy in inhibiting trans-cleavage by mutant Mpro variants (Mpro_P132H, Mpro_E166V, Mpro_P168A, Mpro_Q189I), with IC50 values ranging from 0.05 to 0.92 μM, surpassing nirmatrelvir (IC50: 1.17∼152.9 μM). Molecular modeling revealed stronger interactions with Valine166 in the structural complex of Mpro_E166V with the compounds compared to nirmatrelvir. Moreover, these compounds efficiently inhibited the post-entry viral processes of wild-type SARS-CoV-2 single-round infectious particles (SRIPs), mitigating viral cytopathic effects and reducing replicon-driven GFP reporter signals, as well as in vitro infectivity of wild-type, Mpro_E166V, and Mpro_Q189I SRIPs, with EC50 values ranging from 0.02 to 0.53 μM. However, nirmatrelvir showed a significant decrease in inhibiting the replication of mutant SARS-CoV-2 SRIPs carrying Mpro_E166V (EC50: > 20 μM) and Mpro_Q189I (EC50: 13.2 μM) compared to wild-type SRIPs (EC50: 0.06 μM). Overall, this study identifies four GL derivatives as promising lead compounds for developing treatments against various SARS-CoV-2 strains, including Omicron, and nirmatrelvir-resistant variants.

PMID:38821317 | DOI:10.1016/j.antiviral.2024.105920

Categories: Literature Watch

Differential cell type-specific function of the aryl hydrocarbon receptor and its repressor in diet-induced obesity and fibrosis

Fri, 2024-05-31 06:00

Mol Metab. 2024 May 29:101963. doi: 10.1016/j.molmet.2024.101963. Online ahead of print.

ABSTRACT

OBJECTIVE: The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor regulating xenobiotic responses as well as physiological metabolism. Dietary AhR ligands activate the AhR signaling axis, whereas AhR activation is negatively regulated by the AhR repressor (AhRR). While AhR-deficient mice are known to be resistant to diet-induced obesity (DIO), the influence of the AhRR on DIO has not been assessed so far.

METHODS: In this study, we analyzed AhRR-/- mice and mice with a conditional deletion of either AhRR or AhR in myeloid cells under conditions of DIO and after supplementation of dietary AhR ligands. Moreover, macrophage metabolism was assessed using Seahorse Mito Stress Test and ROS assays as well as transcriptomic analysis.

RESULTS: We demonstrate that global AhRR deficiency leads to a robust, but not as profound protection from DIO and hepatosteatosis as AhR deficiency. Under conditions of DIO, AhRR-/- mice did not accumulate TCA cycle intermediates in the circulation in contrast to wild-type (WT) mice, indicating protection from metabolic dysfunction. This effect could be mimicked by dietary supplementation of AhR ligands in WT mice. Because of the predominant expression of the AhRR in myeloid cells, AhRR-deficient macrophages were analyzed for changes in metabolism and showed major metabolic alterations regarding oxidative phosphorylation and mitochondrial activity. Unbiased transcriptomic analysis revealed increased expression of genes involved in de novo lipogenesis and mitochondrial biogenesis. Mice with a genetic deficiency of the AhRR in myeloid cells did not show alterations in weight gain after high fat diet (HFD) but demonstrated ameliorated liver damage compared to control mice. Further, deficiency of the AhR in myeloid cells also did not affect weight gain but led to enhanced liver damage and adipose tissue fibrosis compared to controls.

CONCLUSIONS: AhRR-deficient mice are resistant to diet-induced metabolic syndrome. Although conditional ablation of either the AhR or AhRR in myeloid cells did not recapitulate the phenotype of the global knockout, our findings suggest that enhanced AhR signaling in myeloid cells deficient for AhRR protects from diet-induced liver damage and fibrosis, whereas myeloid cell-specific AhR deficiency is detrimental.

PMID:38821174 | DOI:10.1016/j.molmet.2024.101963

Categories: Literature Watch

Integrated Antigenic and Nucleic Acid Detection in Single Virions and Extracellular Vesicles with Viral Content

Fri, 2024-05-31 06:00

Adv Healthc Mater. 2024 May 31:e2400622. doi: 10.1002/adhm.202400622. Online ahead of print.

ABSTRACT

Virion-mediated outbreaks are imminent and despite rapid responses, continue to cause adverse symptoms and death. Therefore, tunable, sensitive, high-throughput assays are needed to help diagnose future virion-mediated outbreaks. Herein, we developed a tunable in situ assay to selectively enrich virions and extracellular vesicles (EVs) and simultaneously detect antigens and nucleic acids at a single-particle resolution. The Biochip Antigen and RNA Assay (BARA) enhanced sensitivities compared to quantitative reverse-transcription polymerase chain reaction (qRT-PCR), enabling the detection of virions in asymptomatic patients, genetic mutations in single virions, and enabling the continued long-term expression of viral RNA in the EV-enriched subpopulation in the plasma of patients with post-acute sequelae of COVID-19. BARA revealed highly accurate diagnoses of COVID-19 by simultaneously detecting the spike glycoprotein and nucleocapsid-encoding RNA in saliva and nasopharyngeal swab samples. Altogether, the single-particle detection of antigens and viral RNA provides a tunable framework for the diagnosis, monitoring, and mutation screening of current and future outbreaks. This article is protected by copyright. All rights reserved.

PMID:38820600 | DOI:10.1002/adhm.202400622

Categories: Literature Watch

Advances in Engineering Nucleotide Sugar Metabolism for Natural Product Glycosylation in <em>Saccharomyces cerevisiae</em>

Fri, 2024-05-31 06:00

ACS Synth Biol. 2024 May 31. doi: 10.1021/acssynbio.3c00737. Online ahead of print.

ABSTRACT

Glycosylation is a ubiquitous modification present across all of biology, affecting many things such as physicochemical properties, cellular recognition, subcellular localization, and immunogenicity. Nucleotide sugars are important precursors needed to study glycosylation and produce glycosylated products. Saccharomyces cerevisiae is a potentially powerful platform for producing glycosylated biomolecules, but it lacks nucleotide sugar diversity. Nucleotide sugar metabolism is complex, and understanding how to engineer it will be necessary to both access and study heterologous glycosylations found across biology. This review overviews the potential challenges with engineering nucleotide sugar metabolism in yeast from the salvage pathways that convert free sugars to their associated UDP-sugars to de novo synthesis where nucleotide sugars are interconverted through a complex metabolic network with governing feedback mechanisms. Finally, recent examples of engineering complex glycosylation of small molecules in S. cerevisiae are explored and assessed.

PMID:38820348 | DOI:10.1021/acssynbio.3c00737

Categories: Literature Watch

Influence of point mutations on PR65 conformational adaptability: Insights from molecular simulations and nanoaperture optical tweezers

Fri, 2024-05-31 06:00

Sci Adv. 2024 May 31;10(22):eadn2208. doi: 10.1126/sciadv.adn2208. Epub 2024 May 31.

ABSTRACT

PR65 is the HEAT repeat scaffold subunit of the heterotrimeric protein phosphatase 2A (PP2A) and an archetypal tandem repeat protein. Its conformational mechanics plays a crucial role in PP2A function by opening/closing substrate binding/catalysis interface. Using in silico saturation mutagenesis, we identified PR65 "hinge" residues whose substitutions could alter its conformational adaptability and thereby PP2A function, and selected six mutations that were verified to be expressed and soluble. Molecular simulations and nanoaperture optical tweezers revealed consistent results on the specific effects of the mutations on the structure and dynamics of PR65. Two mutants observed in simulations to stabilize extended/open conformations exhibited higher corner frequencies and lower translational scattering in experiments, indicating a shift toward extended conformations, whereas another displayed the opposite features, confirmed by both simulations and experiments. The study highlights the power of single-molecule nanoaperture-based tweezers integrated with in silico approaches for exploring the effect of mutations on protein structure and dynamics.

PMID:38820156 | DOI:10.1126/sciadv.adn2208

Categories: Literature Watch

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