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Biology subjects

Tan, R.

Publications and source records attributed to Tan, R..

At least 19 recordsLinked to original sources

The molecular asynchrony of single cells

Integrating single-cell transcriptomic and epigenomic data provides a robust framework for investigating gene regulation mechanisms. Existing analyses typically treat these modalities as synchronized features that can be translated in a static manner; however, the temporal delays that underpin cellular kinetics are intrinsic to dynamic biological systems. To address this limitation, we propose utilizing the "molecular asynchrony" within regulatory hierarchies to determine the thermodynamic properties of individual cells. Here, we present SeqTag, a single-cell multiomics sequencing method that simultaneously profiles the transcriptome, chromatin accessibility, and histone modifications, supported by an analytical framework to identify asynchronous states across regulatory layers for characterization of single-cell kinetics. By measuring the epigenetic priming potential and remodeling rates during adult mouse oligodendrogenesis, we delineated a sequential program for bivalency resolution as maturing cells traverse Waddingtons landscape. This process becomes increasingly decoupled with age, a change linked to a drift in progenitor cell-fate probabilities. By identifying entropy-driving regulatory elements, we characterized the aging-related decline in cell identity across various cell types and proposed a dynamic model linking static genetic variants to the risk of late-onset diseases. In summary, our integrated approach established a unified framework for employing multimodal single-cell genomics to model the kinetics of complex cellular processes.

genomics↗

Tetrahydrocurcumin Suppresses Bladder Carcinogenesis via Reprogramming O-GlcNAcylation-Phosphorylation Crosstalk

Bladder cancer exhibits high recurrence rates and limited therapeutic options in advanced stages. Although post-translational modifications (PTMs) are critical regulators of tumor biology, their systems-level remodeling during bladder carcinogenesis remains insufficiently defined. Using a BBN-induced murine bladder cancer model combined with tumor-derived organoids and bladder cancer cell lines, we observed a consistent global elevation of protein O-GlcNAcylation across tumor-associated contexts. Site-resolved quantitative proteomics revealed that this increase reflected selective redistribution rather than uniform accumulation, with differential O-GlcNAc sites nearly evenly divided between up-and down-regulated events. Integrated analyses demonstrated preferential enrichment of up-regulated O-GlcNAcylation within cytoskeleton-adhesion modules and Notch-related domains, whereas down-regulated events were more closely associated with structural maintenance and homeostatic programs. Approximately half of differentially O-GlcNAcylated proteins exhibited concurrent phosphorylation changes, indicating coordinated multi-layer PTM remodeling. Pharmacological inhibition of O-GlcNAc transferase suppressed bladder cancer cell proliferation and organoid growth, supporting a functional association between elevated O-GlcNAcylation and tumor growth. Tetrahydrocurcumin (THC) reduced global O-GlcNAcylation and induced directional remodeling of BBN-associated O-GlcNAc patterns. Cross-comparative analyses identified subsets of sites exhibiting opposite regulation trends following THC intervention. Collectively, these findings define a spatially and functionally organized PTM remodeling landscape in bladder cancer and suggest that THC exerts anti-tumor effects in part through coordinated reprogramming of O-GlcNAcylation and phosphorylation networks.

cancer biology↗

Red yeast rice-derived MKA ameliorates cardiac hypertrophy in hypertensive rats by inhibiting ERK1/2/c-Fos pathway

BackgroundCardiac hypertrophy is a key pathological process in hypertensive heart failure, yet current antihypertensive therapies do not directly target it. Red yeast rice (RYR), rich in monacolin K {beta}-hydroxy acid (MKA), is known for lipid-lowering effects, but its potential to ameliorate cardiac hypertrophy is unreported. PurposeTo investigate the effects of RYR-derived MKA on cardiac hypertrophy in spontaneously hypertensive rats (SHR) and elucidate its molecular mechanisms. MethodsSpontaneously hypertensive rats (SHR) were treated with 0.6% red yeast rice for 8 weeks to assess its effects on blood pressure, cardiac function (echocardiography), cardiac hypertrophy and fibrosis (histopathology), and multi-organ toxicity (histopathology). A multigenerational study was conducted to evaluate protective effects in offspring. Network pharmacology and transcriptomic analysis were integrated to predict molecular targets, which were subsequently validated by molecular docking and experiments. ResultsEight-week RYR treatment significantly reduced blood pressure, inhibited cardiac hypertrophy and fibrosis, and improved cardiac function without gender differences. No pulmonary, hepatic, or renal toxicity was observed. Offspring from treated parents exhibited further reduced hypertrophy upon continued treatment. Mechanistically, MKA bound ERK1/2 with high affinity, inhibiting its phosphorylation and downstream c-Fos expression, thereby downregulating hypertrophy markers. ConclusionRed yeast rice improves hypertensive cardiac hypertrophy via MKA-mediated inhibition of the ERK1/2/c-Fos pathway. Its multi-organ safety and transgenerational effects offer a novel dual-therapy strategy for hypertension and cardiac hypertrophy. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=139 HEIGHT=200 SRC="FIGDIR/small/710945v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@8225acorg.highwire.dtl.DTLVardef@775f43org.highwire.dtl.DTLVardef@10f5201org.highwire.dtl.DTLVardef@d0cd88_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

evoCancerGPT: Generating Zero-Shot Single-Cell and Single-Sample Cancer Progression Through Transfer Learning

Cancer evolution is driven by complex changes in gene expression as cells transition and change states during tumorigenesis. Single-cell RNA sequencing has provided snapshot insights into how the transcriptomics of tumors evolve, but whether the existing knowledge can be used to reliably learn and generate the patterns behind the evolution of cancers remains unknown. Here, we introduce evoCancerGPT, a generative pre-trained transformer decoder-only single-cell foundation model designed to forecast future gene expression profiles in cancer evolution by leveraging previous cell states at the level of single patients. This model integrates the continuous gene expression data of each cell to create a comprehensive representation of a cell token. Training sentences are constructed for each cancer type, each patient and each cell type separately, ordered via inferred pseudotime algorithms, using 2.76 million cell tokens, each with 12,639 genes, spanning 7 cancer types. By learning from long-range dependencies between cells arranged in pseudotime from a large corpus of data, evoCancerGPT captures key transitions in cancer evolution, achieving high concordance to ground truth trajectories and outperforming linear and scGPT baselines in held-out test samples in low-context scenarios. Our work suggests evoCancerGPTs potential utility in characterizing tumor progression at a single-cell and single-patient level and ultimately contributing to more personalized cancer care.

bioinformatics↗

Organoid-Based Transcriptomics Indicate IFIT-Associated Immune Modulation during Cryptotanshinone Treatment in Bladder Cancer

Bladder cancer (BC), particularly muscle-invasive and metastatic disease, remains a major clinical challenge despite recent advances in immunotherapy. In this study, we aimed to identify a promising antitumor compound from five candidate small molecules and to explore its potential roles in BC progression. Through antiproliferative screening, cryptotanshinone (CTS) was identified as the promising candidate. Using both two-dimensional BC cell lines and three-dimensional bladder tumor organoid models, we comprehensively evaluated the effects of CTS on cell proliferation, migration, apoptosis, and organoid growth. To further explore the underlying mechanisms, transcriptomic sequencing based on bladder cancer organoid models, protein-protein interaction network analysis, and public databases (TCGA-BLCA, TIMER, and TISIDB) were integrated to examine immune-related pathways and potential molecular targets associated with CTS. GeneMANIA network prediction and molecular docking analyses were subsequently performed to investigate upstream regulatory networks and the potential interactions between CTS and key components of the cGAS-STING-IFN-I-JAK-STAT signaling pathway. Integrative analyses suggested that IFIT1, IFIT2, and IFIT3 may function as immune-associated genes potentially linked to BC progression, patient prognosis, immune cell infiltration, and PD-1/PD-L1 expression. Molecular docking results suggested that CTS may interact with core regulatory proteins within the cGAS-STING-IFN-I-JAK-STAT pathway, potentially influencing IFIT transcriptional regulation. Collectively, these findings indicate that CTS exhibits measurable antitumor and immunomodulatory effects, which may be associated with modulation of the cGAS-STING-IFN-I-JAK-STAT-IFIT signaling axis, supporting its potential as a small-molecule candidate for bladder cancer.

cancer biology↗

Electrophysiological abnormalities associated with a CACNA1D variant are rescued by AAV6-Cav1.3-C-terminus gene therapy in patient-iPSC-CMs

Inherited arrhythmia syndromes are caused by genetic variants that alter cardiac ion channel function. We investigated a complex presentation in a pediatric patient with ventricular tachycardia and conduction abnormalities, harboring a de novo CACNA1D (c.3786G>T) variant, and two inherited variants, the SCN5A (c.2618C>G), and a DSP desmosome (c.1582C>G). The CACNA1D variant, which encodes Cav1.3 L-type calcium channel is the focus of this study, because the C-terminus fragment of Cav1.3 has recently been identified as a transcription auto-enhancer of its own gene and able to prevent arrhythmic events in a mouse model of ischemic heart failure. Leveraging this intrinsic property, we hypothesized that the Cav1.3-C-terminus could reverse the arrhythmic events associated with the CACNA1D variant. Patch-clamp and optical mapping experiments demonstrated a loss of Cav1.3 function, characterized by reduced L-type calcium current densities, and decrease of conduction velocity, leading to inducible re-entrant arrhythmias in human induced pluripotent stem cell-cardiomyocytes (hiPSC-CMs). RNA sequencing confirmed this loss-of-function via the downregulation CACNA1D gene expression. Interestingly, Cav1.3-C-terminus treatment of hiPSC-CMs successfully normalized Cav1.3 gene expression, restored calcium currents, and conduction velocity, and prevented the susceptibility to arrhythmias. These findings highlight the electrophysiological consequences resulting from a de novo Cav1.3 variant and demonstrate an important transcriptional role of Cav1.3-C-terminus as a transcriptional regulator and as a promising therapeutic tool to restore normal electrical properties in patients with calcium channels loss of function.

physiology↗

The cloacal outgrowth orchestrates co-development of the bladder and umbilical arteries

The urinary bladder is an innovation of eutherian mammals to manage liquid wastes. However, bladder development and its embryonic function remain poorly understood. Here, we report that in both humans and mice the bladder emerges from the cloaca as the rostral outgrowth, which is flanked by the umbilical arteries. Arrest of the outgrowth, as seen in Shh-null mouse embryos, causes bladder agenesis and unexpected severe defect of the umbilical arteries, suggesting that the outgrowth epithelial signal Shh coordinates development of both the bladder and umbilical arteries. Wnt2 signaling molecule is restricted to the rostral outgrowth mesenchyme; and its expression is dramatically down-regulated in Shh-null mutants. Furthermore, Wnt2-null mutants develop small bladder and single umbilical artery defects. Findings here uncover an unexpected co-development mechanism of the bladder and umbilical arteries orchestrated by the cloacal outgrowth signals. The co-development paradigm offers a conceptual framework to understand evolution and development of the bladder. Significance StatementThe urinary bladder is found in the eutherian mammals but largely absent from other vertebrates. Innovation of the bladder has been viewed as a necessity to manage liquid metabolic wastes on dry land. In this study, we report that the bladder emerges from the rostral outgrowth of the cloaca. We also report an unexpected developmental link between the bladder and umbilical arteries and, demonstrate that their co-development is orchestrated by the outgrowth epithelial signal Shh and mesenchymal signal Wnt2. Findings here highlight a possibility that, in addition to managing metabolic wastes, normal bladder development is required for growth of mammalian embryos by supporting development of the umbilical arteries.

developmental biology↗

Disruption of the Wnt-antagonist Apc in the pituitary stem cells drives the development of adamantinomatous craniopharyngioma.

Adamantinomatous craniopharyngiomas (aCPs) are complex intracranial neoplasms that generally arise in the sellar and suprasellar region of the brain which affect the endocrine and nervous systems causing severe sequelae. Activating mutations resulting in degradation-resistant forms of {beta}-catenin (CTNNB1) have been shown to be the main driver for many of these neoplasms. However, the underlying genetic driver for a proportion of these tumours is still unknown. Using murine transgenic models, we show that genetic disruption of the Wnt-antagonist and tumour suppressor, adenomatous polyposis coli (Apc), within the pituitary progenitors/stem cells, leads to pituitary tumours that closely resemble human aCPs. These tumours present classic histopathological hallmarks of aCPs, such as large deposits of wet keratin, stellar-reticular-like cells, large cystic components and clusters of accumulating nucleo-cytoplasmic {beta}-catenin that are slow-dividing and exhibit a secretory phenotype. We show that a hypomorphic allele of Apc is sufficient for tumour development, indicating that disruption of Apc function can lead to aCP formation. Moreover, we identify that bi-allelic loss of Apc in the Sox2+ve pituitary stem cells is sufficient to initiate tumour formation, indicating that Sox2+ve stem cells are the cell origin of these Apc-driven aCPs. Transcriptomic analyses of early tumour-initiating cells revealed that Apc-driven clusters of accumulating {beta}-catenin undergo senescence-associated secretory phenotype (SASP), which is p21-mediated and results in secretion of inflammasome, angiosome and developmental growth factors. Our data unequivocally show a causal role for the disruption of the tumour suppressor Apc as a primary driver of aCPs independent of mutations in {beta}-catenin. We provide murine models representing a novel genetic subtype of human aCPs offering insights into aCP pathogenesis. Our work reinforces the importance of genetic testing for mutations in APC in patients with aCPs and identifies a potential need to screen patients with familial adenomatous polyposis (FAP) or spectrum of APC-pathogenic syndromes for aCPs in early life.

cancer biology↗

Potent Efficacy of Computer-Aided Designed Peptide Degrader Drug on PCSK9-Mediated Hypercholesterolemia

Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a key regulator of low-density lipoprotein receptor (LDLR) degradation, which leads to increased levels of low-density lipoprotein cholesterol (LDL-C) and a heightened risk of hypercholesterolemia. Existing therapeutic strategies--such as monoclonal antibodies and gene-editing approaches--are limited by high production costs, potential safety concerns, and limited effectiveness in targeting intracellular PCSK9. Targeted protein degradation (TPD) represents a promising alternative capable of overcoming these limitations. In this study, we utilized computer-aided drug design (CADD) to develop a peptide-based degrader, Cadd4, aimed at selectively reducing PCSK9 levels. Through molecular docking and structural refinement, a peptide sequence with strong binding affinity to PCSK9 was identified. Functional evaluation was conducted both in vitro using human LX-2 cells and in vivo in high-fat diet (HFD)-induced hypercholesterolemic mouse models. Cellular uptake, PCSK9 degradation, and LDLR restoration were assessed via confocal microscopy, western blotting, and biochemical analysis. Safety was evaluated by monitoring liver enzyme levels and general physiological parameters. Cadd4 exhibited efficient intracellular delivery and selective PCSK9 degradation in LX-2 cell. In HFD-fed mice, hepatic PCSK9 expression was reduced by 38%, accompanied by a marked increase in LDLR levels. These changes translated into a 25% reduction in total plasma cholesterol and a 29% decrease in LDL-C concentrations. Biodistribution studies indicated liver-specific accumulation of Cadd4, consistent with its intended site of action. Experiments using human liver tissue further confirmed its ability to decrease PCSK9 and enhance LDLR levels. No signs of liver toxicity or adverse systemic effects were observed throughout the study. This work introduces Cadd4 as a CADD-designed peptide-based degrader capable of lowering plasma cholesterol by promoting LDLR recovery via PCSK9 degradation. Its intracellular mechanism of action addresses key gaps in current PCSK9-targeted therapies and supports the broader utility of TPD platforms in managing hypercholesterolemia. These findings offer a foundation for developing cost-effective, scalable therapies within the context of precision cardiovascular medicine.

pharmacology and toxicology↗

Biological Reasoning with Reinforcement Learning through Natural Language Enables Generalizable Zero-Shot Cell Type Annotations

Single-cell RNA-sequencing (scRNAseq) has reshaped biomedical research, enabling the high-resolution characterization of cellular populations. Yet cell type annotation, a process typically performed by domain experts interpreting gene expression patterns by manual curation or with specialized algorithms, remains labor-intensive and limited by prior knowledge. In addition, while reasoning large language models (LLMs) have demonstrated remarkable performance on mathematics, coding and general-reasoning benchmarks, their potential in scRNAseq analyses remains underexplored. Here, we investigate the advantages and limitations of employing DeepSeek-R1-0528, a recently developed open-source 671B-parameter reasoning LLM, for zero-shot scRNAseq cell type annotation. We find that DeepSeek-R1 prompted with a ranked list of 10 differentially expressed marker genes per cluster of single cells outperforms both its reasoning-enhanced, non-reasoning equivalent (DeepSeek-V3-0324) and GPT-4o in cluster-level annotations. At the level of single cells, DeepSeek-R1 prompted with the top 500 expressed genes in a cell outperforms its non-reasoning counterpart DeepSeek-V3, illustrating test-time scaling for bioinformatics tasks through natural language. Running DeepSeek-R1 in zero-shot classifier mode, with a prompt that presents a broad catalogue of cell type labels to choose from, improves its performance and generalizability across different datasets. On data curated by the expert model scTab (termed in-domain data), the DeepSeek-R1 classifiers perform better than the expert model scGPT and on par with the specialized cell genomics LLM C2S-Scale-1B, but lag behind scTab. On out-of-distribution data unseen by the two expert models, DeepSeek-R1 and its classifier versions generalize better and outperform the other models in the majority of the evaluated datasets. Notably, DeepSeek-R1 supports its cell type calls with interpretable textual biological rationales underlying its reasoning, providing a learning opportunity for researchers. Nevertheless, peak annotation performance remains modest, highlighting the intrinsic complexity of scRNAseq cell type annotation.

bioinformatics↗

Cytoprotective roles of "E3 ubiquitin ligases-NF-κB-autophagy" axis in Pacific oysters Crassostrea gigas exposed to phenanthrene

Phenanthrene (PHE), as one of the most frequently found polycyclic aromatic hydrocarbons can induce immunotoxicity, oxidative stress, and endocrine disruption in marine organisms. However, whether autophagy can be induced by PHE and the regulatory mechanism and cytoprotective roles of autophagy under PHE stress condition have not been unveiled. Our data first unveil a "E3 ubiquitin ligases-NF-{kappa}B-autophagy" axis, which play cytoprotective roles in Pacific oysters Crassostrea gigas exposed to PHE. The results of confocal laser scanning microscope, flow cytometry and transmission electron microscope confirmed that PHE could induce autophagy in the haemocytes of Pacific oysters, and the presence of autophagosomes was also confirmed. The proteomics results showed that the expression of the E3 ubiquitin ligase HUWE1, TRIM36, and autophagy-related protein 7 (ATG7) were significantly upregulated. The expression of genes of the "axis" were significantly upregulated, and the expression of genes of autophagy was downregulated after the inhibition of the NF-{kappa}B, indicating that the expression of the "axis"-related genes can be stimulated by PHE, and thus autophagy is activated. The upregulation of the expression of "axis"-related genes in mouse macrophages, further demonstrating the existence of the "axis" proposed by this study and the "axis" can be activated by PHE. Incorporating with changes of cell number, apoptosis rate, phagocytic capacity, and ROS levels of lymphocytes, we demonstrated that autophagy plays a cytoprotective role in cellular defence against PHE. This study proposed a novel pathway and supplied a comprehensive understanding of the protective role of autophagy in Pacific oysters to cope with pollutants.

cell biology↗

Viral Infection Detector: Ensemble Learning for Predicting Viral Infection in Single-cell Transcriptomics of Virus-Induced Cancers

Oncoviruses cause around 15-20% of all human cancers. As 3 end-based single-cell RNA-sequencing (scRNA-seq) methods become more popular, the relationship between viral infection and tumor progression at the transcriptomic level has been increasingly studied at single-cell resolution. However, the identification of infected cells is challenging as viral reads from infected cells may not be captured, leading to high false negative rates. To recover these infected cells that have been missed, we developed VID, a stacked ensemble machine-learning model that predicts virus-infected cells in scRNA-seq datasets. Using VID, we uncovered biologically meaningful differences between infected and uninfected cells across different oncovirus-mediated cancers and different cell types. Our VID tool provides a user-friendly way to study changes induced by viral infections in scRNA-seq datasets.

bioinformatics↗

CDP-DAG synthases regulate plant growth and broad-spectrum disease resistance

Phosphatidic acid (PA) functions as a cell membrane component and signaling molecule in plants. PA metabolism has multiple routes, in one of which PA is converted into cytidine diphosphate diacylglycerol (CDP-DAG) by CDP-DAG synthases (CDSs). CDS genes are highly conserved in plants. Here, we found that knock-down of the CDS gene enhanced the resistance of Arabidopsis thaliana to multiple pathogens, with a growth penalty. When Arabidopsis leaves were treated with chitin or flg22, reactive oxygen species (ROS) production in cds mutants was significantly higher than that in the wild-type (WT). Similarly, phosphorylation of mitogen-activated protein kinases (MAPKs) in the cds1cds2 double mutant was significantly increased compared to the WT. By integrating lipidomics, transcriptomics, and metabolomics data, PA accumulation was observed in mutants cds1cds2, activating the jasmonic acid (JA) and salicylic acid (SA) signaling pathway, and increasing transcript levels of plant defense-related genes. Significant accumulation of the downstream metabolites including serotonin and 5-methoxyindole was also found, which plays important roles in plant immunity. In conclusion, our study indicated the role of CDSs in broad-spectrum disease resistance in Arabidopsis and that CDSs are involved in plant metabolic regulation.

plant biology↗

Enzymatic synthesis of isotopically labeled hydrogen peroxide for mass spectrometry-based applications

Methionine oxidation is involved in multiple biological processes including protein misfolding and enzyme regulation. However, it is often challenging to measure levels of methionine oxidation by mass spectrometry, in part due to the prevalence of artifactual oxidation that occurs during sample preparation and ionization steps of typical proteomic workflows. Isotopically labeled hydrogen peroxide (H218O2) can be used to block unoxidized methionines and enable accurate measurement of in vivo levels of methionine oxidation. However, H218O2 is an expensive reagent that can be difficult to obtain from commercial sources. Here, we report a method for synthesizing H218O2 in house. Glucose oxidase catalyzes the oxidation of {beta}-D-glucose and produces hydrogen peroxide in the process. We took advantage of this reaction to enzymatically synthesize H218O2 from 18O2 and assessed its concentration, purity, and utility in measuring methionine oxidation levels by mass spectrometry.

biochemistry↗

Mutation of phosphatidate phosphohydrolase genes confers broad-spectrum disease resistance in plants

Phosphatidic acid (PA) is considered as a second messenger that interacts with protein kinases, phosphatases and NADPH oxidases, amplifying the signal to initiate plant defense signaling responses (Li and Wang, 2019). In rice, mutation of RBL1 causes the accumulation of PA, enhancing multipathogen resistance (Sha et al., 2023). In our previous study, we attempted to rescue rbl1 mutant by overexpressing phosphatidate phosphohydrolase (PAH) genes. However, overexpression of PAH2 reduced the PA level but did not affect the disease resistance, which made us to reconsider the importance of PA and PAH in rice immunity. Here, we identified that mutation of PAHs caused PA accumulation and enhanced multipathogen resistance in rice and Arabidopsis.

plant biology↗

Nanofibrous Wound Dressing with a Smart Drug Delivery System: Poly(N-Isopropylacrylamide)-Conjugated Polycaprolactone Nanofibers Loaded with Curcumin

In response to clinical demands for advanced wound dressings, a "smart bandage" was developed by combining polycaprolactone (PCL) nanofibers and the thermoresponsive polymer poly(N-isopropylacrylamide) (PNIPAAm). This bandage incorporates curcumin, an anti-inflammatory and antioxidant agent, to enhance wound healing. The LCST of PNIPAAm (32{degrees}C) enables an "on-off" drug delivery system, transitioning from a hydrophilic coil to a hydrophobic state. The nanofiber matrix was characterized using FTIR spectroscopy, SEM, water contact angle, and dynamic mechanical analysis. Curcumin release was assessed both above and below the LCST. The bandage is comfortable, easy to apply and remove, and promotes rapid wound healing. In vitro studies confirmed its non-toxicity to human dermal fibroblast cells. This "smart bandage" represents a significant advancement in wound care, with the potential to meet clinical requirements and enhance patient compliance, offering controlled drug delivery combined with the therapeutic benefits of curcumin.

bioengineering↗

Formylation facilitates the reduction of oxidized initiator methionines

Within a cell, protein-bound methionines can be oxidized by reactive oxygen species (ROS) or monooxygenases, and subsequently reduced by methionine sulfoxide reductases (Msrs). Methionine oxidation can result in structural damage or be the basis of functional regulation of enzymes. In addition to participating in redox reactions, methionines play an important role as the initiator residue of translated proteins where they are commonly modified at their -amine group by formylation or acetylation. Here, we investigated how formylation and acetylation of initiator methionines impact their propensity for oxidation and reduction. We show that in vitro, N-terminal methionine residues are particularly prone to chemical oxidation, and that their modification by formylation or acetylation greatly enhances their subsequent enzymatic reduction by MsrA and MsrB. Concordantly, in vivo ablation of methionyl-tRNA formyltransferase (MTF) in E. coli increases the prevalence of oxidized methionines within synthesized proteins. We show that oxidation of formylated initiator methionines is detrimental in part because it obstructs their ensuing deformylation by peptide deformylase (PDF) and hydrolysis by methionyl aminopeptidase (MAP). Thus, by facilitating their reduction, formylation mitigates the misprocessing of oxidized initiator methionines. Classification: Biological Sciences; Biochemistry

biochemistry↗

Capsaicin acts as a novel NRF2 agonist to suppress ethanol induced gastric mucosa oxidative damage by directly disrupting the KEAP1-NRF2 interaction

Excessive alcohol consumption poses significant health risks and is closely associated with oxidative damage. The KEAP1-NRF2-ARE signaling pathway serves as the primary antioxidant system. However, current small molecule inhibitors are all covalently bound to KEAP1, meaning that once bound, they are not easily dissociated, while continuous inhibition of KEAP1 exhibits severe side effects. In this study, BLI, CETSA, Pull-down, Co-IP and HDX-MS assay analysis were conducted to detect the KEAP1 binding behavior of natural product, capsaicin (CAP), both in vitro and in cells. The ethanol-induced acute gastric mucosal damage rat model was also established to evaluate the therapeutic effect of CAP. Our findings demonstrated that CAP mitigated mitochondrial damage, facilitated the nuclear translocation of NRF2, leading to the up-regulation of downstream antioxidant response elements, HMOX1, TXN, GSS and NQO1 in GES-1 cells. Furthermore, CAP directly bind to KEAP1 and inhibit the interaction between KEAP1 and NRF2. In the KEAP1-knockout 293T cells, CAP failed to activate NRF2 expression. We identified that CAP non-covalently bound to Kelch domain and allosterically regulated three specific regions of KEAP1 : L342-L355, D394-G423 and N482-N495. To improve drug solubility and delivery efficiency, we developed IR-Dye800 modified albumin coated CAP nanoparticles. The nanoparticles significantly reduced the gastric mucosal inflammation and activated NRF2 downstream genes in vivo. Our hypothesis was further verified our hypothesis in Nfe2l2-knockout mice. This study provides new insights that CAP is a safe and novel NRF2 agonist by allosterically regulating KEAP1, which may contribute to the development of lead drugs for oxidative stress-related illness, e.g. aging, cancer, neurodegenerative and cardiovascular diseases.

cell biology↗