Search Results (4,012)

Lactobacillus species are widely used in various food products, including conventional food products, dairy products, and health food products. To achieve the desired functional properties, manufacturers commonly incorporate two or more distinct Lactobacillus species during production. In this study, a multiplex PCR detection method was developed for four Lactobacillus species commonly used in food based on TaqMan real-time fluorescent PCR technology, enabling the efficient and rapid identification of multiple Lactobacillus strains in food matrices. The research team selected and validated four representative species—Lactobacillus rhamnosus, Lactobacillus plantarum, Lactobacillus acidophilus, and Lactobacillus paracasei—as targets for the multiplex PCR assay, designing specific primer–probe combinations for each. The accuracy and reliability of the detection method were rigorously evaluated through a series of validation experiments, including the assessment of primer–probe specificity, optimization of fluorescent signal labeling chemistries, determination of the limits of detection for individual strains, evaluation of the method’s repeatability, and analysis of commercial food samples. The results demonstrated that the selected primer–probe sets exhibited no cross-reactivity in the multiplex system and specifically amplified their target Lactobacillus species, with no amplification observed for non-target strains. The established method achieved a minimum LOD for L. acidophilus of 10² CFU/g and showed high repeatability across replicates. Furthermore, the successful detection of labeled Lactobacillus strains in commercial products confirmed the method’s practical applicability. Therefore, the developed multiplex real-time PCR assay provides a reliable, sensitive, and high-throughput tool for the simultaneous detection of multiple Lactobacillus species in complex food products and holds potential for application in quality control, product authentication, and regulatory compliance monitoring. Full article

Vector-borne protozoal infections—including babesiosis, theileriosis, hepatozoonosis, trypanosomosis, and leishmaniosis—impose a substantial burden on livestock and companion animal health worldwide and carry important zoonotic and public health implications. Accurate diagnosis is essential yet challenging, given the diversity of parasite genera, their markedly different tissue tropisms, and the uneven distribution of diagnostic resources across veterinary settings. This review provides an integrated overview of the principal diagnostic approaches available, structured around the biological logic that guides test selection in practice. Microscopic examination remains the first-line method; its strengths and limitations are discussed for intraerythrocytic parasites (Plasmodium spp., Babesia spp., Theileria spp., Cytauxzoon spp.—the latter two with additional extra-erythrocytic schizont stages in leukocytes and tissue macrophages, respectively), leukocyte-associated forms (Hepatozoon spp.), extracellular trypanosomes, and tissue-stage parasites, including emerging applications of artificial intelligence. Serological methods—enzyme-linked immunosorbent assay (ELISA), indirect fluorescence antibody test (IFAT), and point-of-care lateral flow assays—are evaluated for their role in exposure detection, population screening, and international trade certification, with attention to cross-reactivity and the active-versus-past-infection distinction. Molecular diagnostics, encompassing conventional PCR, qPCR, droplet digital PCR, isothermal amplification, and next-generation sequencing, are reviewed with respect to target selection, sensitivity, and point-of-care applicability. Finally, diagnostic challenges are contextualised within a One Health framework, highlighting the fragmentation of veterinary surveillance and the need for integrated, cross-sector approaches to detect emerging threats. Full article

Background/Objectives: Hepatocellular carcinoma (HCC) exhibits enhanced glycolytic activity, primarily facilitated by Class I glucose transporters (GLUTs), particularly GLUT-2. Phloretin, a natural polyphenol, is known to modulate glucose transport; however, its isoform-specific interactions and functional impact on HCC metabolism remain unclear. This study compared phloretin’s inhibitory effects on glucose uptake in HCC cells versus normal liver cell models and assessed its binding affinity across Class I GLUTs using molecular docking. Methods: Cytotoxicity was evaluated in HepG2 (HCC) and THLE-2 (normal hepatocyte) cells using 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assays to determine biologically relevant concentrations. Glucose uptake at sub-cytotoxic levels was quantified using the fluorescent analog 2-(N-(7-Nitrobenz-2-oxa-1,3-diazol-4-yl)Amino)-2-Deoxyglucose. To elucidate the molecular mechanism, in silico docking simulations were performed to compare the binding affinities of phloretin, glucose, and reference inhibitors (glutor and cytochalasin B) with the outward-facing conformations of GLUT-1 through GLUT-4. Results: Phloretin induced dose- and time-dependent cytotoxicity, with HepG2 cells exhibiting significantly higher sensitivity than THLE-2 cells. Functionally, phloretin markedly reduced glucose uptake in HepG2 cells, whereas THLE-2 cells showed minimal inhibition. Molecular docking revealed that phloretin occupies the central substrate-binding cavity of Class I GLUTs, forming its most stable interaction network with GLUT-2. Conclusions: These results demonstrate that phloretin selectively inhibits glucose uptake in liver cancer cells, likely through its high-affinity interaction with GLUT-2. Collectively, these findings highlight phloretin’s potential as a metabolic therapeutic agent and support GLUT-2 as a viable target for HCC intervention. Full article

Cell lineage relationship studies in developmental and regenerative biology have been greatly advanced using techniques such as fluorescent labeling driven by cell-type-specific promoters. Nevertheless, unbiased non-invasive tools for distinguishing cell lineages are inevitably desired. Mitochondrial DNA (mtDNA) exhibits wide-range single-nucleotide polymorphisms (SNPs) among individual cells. Here, we aim to distinguish cell types in organs/tissues of the same individual and in the regenerated liver based on the use of mtDNA SNPs. For this, two approaches—“Mitochondrial Alteration Enrichment and Sequencing” (MAESTER) and “mitochondrial single-cell assay for transposase-accessible chromatin with sequencing” (mtscATAC-seq)—were adopted to facilitate the detection of mtDNA SNPs in single cells. With MAESTER, we show that specific cell types in the liver and spleen of the same individual can be successfully defined using collective individual-specific markers composed of panels of unique mtDNA SNP combinations. For its application, we performed partial hepatectomy (PH) on a Krt19:Dre^ERT2/+;R26:Rox-ZsGreen-Stop-Rox-tdTomato/+ mouse harboring tdTomato-labeled cholangiocytes following tamoxifen injection and demonstrated that utilizing panels of unique mtDNA SNP combinations detected by mtscATAC-seq in the pre-PH cholangiocytes as markers can faithfully trace the cell fate in the post-PH liver samples. Hence, this approach may serve as an unbiased tool for investigating cell lineage relationships in relevant research areas such as liver regeneration. Full article

Three-dimensional (3D) bioreactor systems are essential for vascular tissue engineering as they provide controlled environments that better mimic physiological conditions compared to static culture systems. In this study, an IoT-enabled modular rotating 3D bioreactor platform was designed, fabricated using Fused Deposition Modeling (FDM), and biologically validated. The system integrates a Wi-Fi-supported ESP8266 controller and a touchscreen human–machine interface (HMI), enabling real-time monitoring and remote operation. Agarose-chitosan-based tubular hydrogel constructs were seeded with human aortic smooth muscle cells (HASMCs) and cultured under dynamic conditions for 14 days. Biocompatibility was assessed using a lactate dehydrogenase (LDH) assay, while cellular distribution and mitochondrial activity were evaluated by confocal microscopy using DAPI and MitoTracker staining. Fluorescence intensity was further quantified using ImageJ, and 3D surface plots were generated to visualize spatial signal distribution. The results demonstrated sustained cell viability with decreasing cytotoxicity over time. Confocal analysis confirmed a homogeneous distribution of cells within the hydrogel matrix, and quantitative fluorescence analysis showed significantly higher MitoTracker intensity compared to DAPI, indicating increased metabolic activity under dynamic conditions. These findings suggest that the developed bioreactor provides a stable, controllable, and effective platform for vascular tissue engineering applications. Full article

Background/Objectives: The present study aims to test three different types of PMMA (Fotodent Guide—3D printed (M1), Aidite Temp—milled (M2), Duracryl—self-polymerized (M3) on HFIB-G and on OECM-1. Methods: The two cell types (HFIB-G and OECM-1) were kept in contact with the materials, Fotodent Guide, Aidite Temp, and Duracryl (n = 6), for 24 and 48 h, and subsequently subjected to the following tests: MTT, LDH, NO (according to ISO 10993-5:2009), and immunofluorescent detection of proteins associated with autophagy and apoptosis (mitochondria and caspases 3/7; detection of autophagosomes). Statistical interpretation was made using t-test and ANOVA (* p < 0.05; ** p < 0.01; *** p < 0.001). Results: The MTT assay revealed a reduction in cell viability for all tested materials on gingival fibroblasts compared to control cells, with the most pronounced decrease observed for the 3D-printed material (M1 viability 66.77% for 24 and 52.45% 48 h—p < 0.001), while the self-polymerizing resin (M3 viability 85.92% for 24 h and 85.63% for 48 h) showed the highest level of cellular tolerance (p < 0.001 at 24 h and p < 0.01 at 48 h). Regarding OECM-1 cells, all materials reduced cell viability, particularly M3 after 48 h of incubation (viability 61.79%—p < 0.001). LDH levels generally indicated low membrane damage for all materials. Statistically significant increases in NO levels were recorded for both cell types, suggesting a mild proinflammatory response, especially for M2 OECM-1 48 h—p < 0.05 and M3 (HFIB-G 48 h—p < 0.05, OECM-1 48 h p < 0.05). For both 24 and 48 h, fluorescence analysis demonstrated a significant increase in mitochondrial activity in gingival fibroblasts (p < 0.001), whereas tumor cells exhibited a significantly decreased mitochondrial activity (p < 0.001), particularly for the 3D-printed material M1 (p < 0.001). Caspase-3/7 expression increased in gingival fibroblasts incubated with materials for 24 and 48 h (p < 0.001), while tumor cells showed reduced caspase activity both after 24 and 48 h (p < 0.001). Autophagosome formation decreased initially in fibroblasts at 24 h (p < 0.001) but increased significantly after 48 h (p < 0.001), while tumor cells generally showed enhanced autophagic activity under most experimental conditions (p < 0.001). Conclusions: Our results suggest that all three PMMA-based materials exhibit acceptable biocompatibility profiles, of more than 70%, according to ISO 10993-5:2009, although cellular responses vary depending on the manufacturing technique and the cellular model used. In our study conditions, self-polymerized resin (M3) was the most compatible with gingival fibroblasts, while the 3D-printed and CAD/CAM milled materials (M1 and M2) had a more pronounced impact on cells’ viability and metabolic activity. Full article

Bitter gourd (Momordica charantia L.) is an important vegetable and medicinal crop in tropical/subtropical regions, but suffers severe yield losses (even total failure) from Fusarium wilt caused by Fusarium oxysporum f. sp. momordicae (Fom). There is no specific detection system available to detect this pathogen, and the methods used for other pathogens exhibit cross-reactivity and require specialized equipment. Therefore, this study developed a loop-mediated isothermal amplification (LAMP) assay for early Fom diagnosis. Initially, five sets of LAMP primers targeting the conserved regions of Fom, located within the region amplified by the FOMM-SPF/SPR PCR primers, were tested for specificity and sensitivity. In this experiment, FoM-1-2 showed optimal specificity, identifying 44 Fom strains without cross-reactivity with 10 other non-Fom species after a 60 min incubation at 64 °C. A visual readout based on a fluorescent dye (green for positive, pale orange for negative) eliminated the need for gel electrophoresis and specialized instruments. The LAMP assay was 100-fold more sensitive than conventional PCR (detection limit: 5.6 pg/μL vs. 560 pg/μL). In inoculated seedlings, LAMP detected Fom in basal stems at four days post-inoculation and top leaves at six days, whereas conventional PCR yielded faint bands in the basal stem after eight days. Moreover, LAMP enabled non-destructive detection. Thus, the present study developed a rapid, specific, and sensitive visual LAMP assay, supporting early diagnosis of bitter gourd Fusarium wilt. Full article

Introduction: Glioblastoma (GBM) is the most aggressive primary tumor of the central nervous system and is highly resistant to temozolomide (TMZ). Rutin is a potent antioxidant with immunomodulatory and anti-glioma effects in vitro, although its mechanisms of action remain incompletely understood. This study investigated the effects of rutin on morphology, viability, redox balance, and pro-tumoral signaling in GBM 2D cultures and 3D spheroids, as well as its association with TMZ sensitivity. Methods: GL15 and U343 human GBM cell lines and primary astrocytes were treated with rutin (5–30 μM) and/or TMZ (125–4000 μM). Cell metabolic activity and viability were assessed by MTT, PI/DiOC18(3) or PI/Hoechst. Cell migration was assessed from spheroid-derived cells, and extracellular matrix (ECM) components (fibronectin and laminin) were evaluated by immunofluorescence. Intracellular reactive oxygen species (ROS) were measured by DCFH-DA fluorescence. IL-6, STAT3, NOS2, and IDO1 gene expression were determined by RT-qPCR, and protein expression of MMP2, fibronectin, STAT3, PI3K, and AKT by Western blotting. Nitric oxide (NO) and L-kynurenine levels were quantified in the supernatant by colorimetric assays. Results: Rutin reduced cell viability and enhanced TMZ cytotoxicity in both 2D and 3D cultures, while exerting selective effects by increasing metabolic activity and attenuating TMZ-induced effects in non-tumoral primary astrocytes. In 3D spheroids, rutin affected structural organization and reduced spheroid-derived cell migration, accompanied by changes in ECM components, including MMP2, fibronectin, and laminin. Rutin decreased intracellular ROS levels and suppressed the TMZ-induced increase in ROS and NOS signaling. These effects were accompanied by modulation of IL-6/STAT3 signaling, along with reduced STAT3, PI3K, and AKT protein levels. Rutin also modulated immunometabolic parameters, including extracellular L-kynurenine and nitric oxide levels, and enhanced TMZ responsiveness following pre-sensitization. Conclusions: Rutin enhances TMZ responsiveness by modulating interconnected pro-tumoral mechanisms, including redox balance, pro-survival signaling, ECM remodeling and migratory behavior, and immunometabolic pathways linked to chemoresistance, supporting its potential as an adjuvant therapeutic strategy. Full article

Background/Objectives: Allomyrinasin is a cationic antimicrobial peptide derived from Allomyrina dichotoma larvae with known antibacterial and anti-inflammatory properties; however, its effects on migration-related mechanisms in oral squamous cell carcinoma (OSCC) remain poorly understood. This study investigated the anti-migratory potential of allomyrinasin in OSCC cells, focusing on Na⁺/HCO₃⁻ cotransporter (NBC) activity as a key migratory module. Methods: NBC activity was assessed in YD-38 OSCC cells treated with allomyrinasin. Cell migration was evaluated by wound healing and Transwell assays, and MMP expression. Intracellular reactive oxygen species (ROS), apoptosis-related markers, and lamin A/C expression were analyzed using fluorescence-based assays and gene expression analysis. Results: Allomyrinasin inhibited NBC activity and suppressed cell migration without substantial loss of cell viability. MMP-13 was selectively downregulated among the tested MMPs. Lamin A/C expression was markedly upregulated, suggesting enhanced nuclear stiffness that may restrict confined cell migration. Intracellular ROS levels were elevated, and apoptotic progression was confirmed by increased Annexin V/PI positivity along with downregulation of B-cell lymphoma 2 (BCL2) and upregulation of BCL-2–associated X genes (BAX), through a p53-independent pathway consistent with the TP53-deleted status of YD-38 cells. Conclusions: Allomyrinasin suppresses OSCC cell migration by targeting NBC activity as a key component of the migratory machinery, accompanied by oxidative stress induction and pro-apoptotic signaling. These findings identify allomyrinasin as a potential anti-migratory therapeutic candidate and highlight NBC activity as a promising target for attenuating cancer metastasis. Full article

Protein–protein interactions (PPIs) are fundamental to viral replication, regulating processes such as assembly, genome packaging, and virion maturation. Despite their biological importance, these interactions remain challenging to study and are relatively underexploited as therapeutic targets. Split reporter systems, based on protein-fragment complementation, provide quantitative platforms to measure PPIs by reconstituting reporter activity when interacting protein partners are brought into proximity. These systems can be applied in vitro and in live cells which enables detection of dynamic and multimeric interactions in physiologically relevant contexts. Major classes of split reporter systems include β-lactamase, alkaline phosphatase, luciferase-based platforms, green fluorescent protein, and horseradish peroxidase. Assay performance depends on factors such as fusion protein stability, expression levels, and reporter kinetics, which influence sensitivity, dynamic range, and reliability. These approaches have been applied to study viral protein interactions across diverse systems, including HIV-1 matrix and nucleocapsid proteins, flaviviral capsid proteins, hepatitis B virus core protein, and chikungunya virus capsid. Split reporter assays also enable high-throughput screening for small-molecule inhibitors that disrupt viral PPIs and multimerization. This provides a functional readout linked to viral replication. Despite the challenges that exist in assay optimization and protein stability, the sensitivity and versatility of these systems provide a framework to interrogate viral protein interactions and support the development of antiviral therapeutics.: Full article

Objective: In this study, Dehydroepiandrosterone (DHEA-induced Polycystic Ovary Syndrome (PCOS) mice were used as models to evaluate the improvement effect of Vitexin (Vit) on ovarian fibrosis and explore the mechanism of action of the NR4A1/NLRP3 signaling pathway. Method: Sixty 4-week-old female ICR mice of the same batch number were selected and their systems were divided into 6 groups (n = 10): normal (Control, Ctrl) group, model (Polycystic Ovary Syndrome, PCOS) group, treatment (Vitexin, The Vit group, normal NR4A1 gene silencing group (Ctrl NR4A1^-/-), NR4A1 gene silencing model group (PCOS NR4A1^-/-), and NR4A1 gene silencing treatment group (Vit NR4A1^-/-). Silencing gene modeling was performed by tail vein injection of adeno-associated virus (serotype AAV-8), and the mouse genotypes were detected by qRT-PCR technology 14 days after injection. After the genotype was determined, the PCOS group and the PCOS NR4A1^-/- group were administered dehydroepandrosterone (6 mg/100 g/d) by gavage for 28 consecutive days for modeling, while the Vit group and the Vit NR4A1^-/- group were treated with dehydroepandrosterone + vitexin (10 mg/kg/d) by gavage for 28 consecutive days. All mice were raised with pure water and regular maintenance food. After 4 weeks of drug intervention, the mice were euthanized and samples were collected. The pathological changes in ovarian tissue were observed by H&E staining, and the degree of ovarian tissue fibrosis was observed by Masson staining. The levels of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSH-Px), malondialdehyde (MDA), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in mouse serum were detected by biochemical kits. The levels of inflammatory factors (IL-1β, IL-6, IL-18, TNF-α) in mouse serum were determined by enzyme-linked immunosorbent assay. Real-time fluorescence quantitative PCR (qRT-PCR) was used to detect oxidative kinase (Gsta4, Prdx3, Mgst1, Gpx3, Gsr), inflammatory factors (Nlrp3, Caspase-1, Asc, Il-1β, Il-18, Tnf-α) and fibrotic pathway-related genes (Tgf-β1, Smad3, Collagen1, CTGF, α-SMA, Mmp-13, and β-catenin) in ovarian tissues. The levels of inflammatory factors (NLRP3, Caspase-1, ASC, IL-1β, IL-18, TNF-α, IκBα) and fibrosis in mice were determined by Western blot method, and statistical description and analysis were performed using SPSS software. Result: In the wild-type genotype group, compared with the PCOS group, Vit treatment could effectively regulate the metabolic abnormalities of PCOS mice, including inhibiting excessive weight gain, restoring normal glucose tolerance, and reducing body fat content. After Vit treatment, the levels of MDA, TC, TG, LDL, IL-1β, IL-6, IL-18 and TNF-α in the serum of PCOS mice were significantly reduced, while the levels of SOD and HDL in the serum of PCOS mice were increased. The staining results indicated that Vit treatment could significantly inhibit the process of ovarian fibrosis in PCOS mice. The results of WB and PCR demonstrated that after Vit gavage treatment in mice, inflammatory and fibrotic factors such as Nlrp3, Caspase-1, Asc, Il-1β, Il-18, Tgf-β1, Smad3, Collagen1, CTGF, and α-SMA in ovarian tissues could be significantly down-regulated, and the fibrotic level of ovarian tissues could be reduced. Among the same measurement indicators, the silenced NR4A1 group showed a certain degree of increase compared with the wild genotype group, but there was no significant difference. Conclusions: Vit intervention can restore the sex hormone levels and follicular development in ovarian tissues of PCOS mice, regulate reproductive endocrine disorders and abnormal lipid metabolism levels, and regulate the expression of Collagen I, a-SMA and CTGF in the ovaries by inhibiting the NR4A1/NLRP3 signaling pathway, thereby improving the ovarian fibrosis level of PCOS mice. It is suggested that it may play a key role in the treatment of PCOS and the prevention and delay of its long-term complications. Full article

Background: Metabolic syndrome is characterized by dysregulated glucose metabolism and is a major risk factor for type 2 diabetes mellitus and cardiovascular disease. Although glucose-lowering therapies such as glucagon-like peptide-1 receptor (GLP-1R) agonists are effective, their use may be limited by cost, administration route, side effects and tolerability. Bergamot (Citrus bergamia Risso et Poiteau) extract, rich in flavanones, has shown favorable metabolic effects in clinical studies, although its mechanisms of action remain insufficiently defined. This study aimed to investigate the potential glucose-modulating mechanisms of a standardized phospholipid-formulated bergamot extract (BP) (Vazguard™) in vitro. Methods: GLP-1R activation was assessed in a U2OS cell line expressing cyclic adenosine monophosphate (cAMP)-sensitive Nomad Biosensors™. Dipeptidyl peptidase-4 (DPP4) activity was evaluated using a cell-free enzymatic assay, while Glucose transporter type 4 (GLUT4)-mediated glucose uptake was assessed in CHO-K1 cells stably expressing human GLUT4 using an adenosine triphosphate (ATP)-based readout. Cytotoxicity was also using lactate dehydrogenase (LDH), MTT, and nuclei count assays. Results: BP exhibited a dose-dependent (0.31–5 mg/mL) increase in cAMP biosensor fluorescence, consistent with GLP-1R-associated signaling and a maximal response of approximately 60% relative to the positive control (GLP-1R agonist II). No cytotoxic effects were observed. In contrast, BP showed no inhibitory effect on DPP4 activity and did not alter GLUT4-mediated glucose uptake under the experimental conditions tested. Conclusions: These findings provide novel mechanistic evidence that phospholipid-formulated bergamot extract suggests a possible involvement in GLP-1R-associated signaling in vitro, without detectable effects on DPP4 or GLUT4 pathways under the conditions tested. This suggests a mechanism consistent with weak agonist or allosteric modulation of GLP-1R and supports further investigation of bergamot formulated with phospholipids as potential natural adjuncts in metabolic health management. Full article

Maize (Zea mays L.), a typical thermophilic crop originating from tropical regions, exhibits an inherent sensitivity to low-temperature stress. Cold stress severely restricts maize seed germination, seedling growth, the physiological metabolism, and the final grain yield, which greatly limits its geographical cultivation range and sustainable industrial development. Elucidating the molecular regulatory mechanisms underlying maize cold tolerance and excavating cold-resistant functional genes are essential for the molecular breeding of cold-tolerant maize varieties and expanding maize planting areas in high-latitude and low-temperature-prone regions. In this study, using the strongly cold-tolerant maize inbred line B144 as the experimental material, we cloned the ZmMAPKKKA gene (NCBI accession: LOC103651289) and systematically screened and verified its cold-stress-specific interacting proteins via multiple molecular biological assays. The full-length coding sequence (CDS) of ZmMAPKKKA is 1134 bp, encoding a 377-amino-acid protein with a predicted molecular weight of 40.37 kDa. The quantitative real-time PCR (qRT-PCR) results demonstrated that the ZmMAPKKKA expression was significantly upregulated by 16.56-fold in maize roots after 12 h of low-temperature treatment, indicating a tissue-specific and robust cold response in root tissues. A total of 25 interacting proteins were identified through yeast two-hybrid screening, among which three stress-responsive proteins, including a protein kinase (LOC100286253), a protein phosphatase 2C (PP2C) (LOC542176), and a NAC transcription factor (LOC118474710), were selected for subsequent verification. The Pull-Down, Co-immunoprecipitation (Co-IP), and bimolecular fluorescence complementation (BiFC) assays consistently confirmed that ZmMAPKKKA specifically interacts with these three proteins both in vitro and in vivo under cold stress conditions. This study is the first to construct a ZmMAPKKKA-centered protein interaction module in the maize mitogen-activated protein kinase (MAPK) cascade under cold stress, establishing a novel kinase–phosphatase–transcription factor regulatory cascade that improves the current understanding of cold signal transduction mechanisms in maize. Homologous genes of ZmMAPKKKA in gramineous crops including rice (Oryza sativa) and sorghum (Sorghum bicolor) have been proven to participate in diverse abiotic stress responses, suggesting the conserved functional roles of MAPKKK family genes across gramineous species. Collectively, our findings provide comprehensive insights into the molecular mechanism of the maize MAPK signaling pathway mediating cold stress adaptation and supply valuable functional gene resources for cold-tolerant maize germplasm innovation and molecular breeding. Full article

Maize (Zea mays L.) is a vital global crop whose productivity is severely threatened by abiotic stresses. Epicuticular waxes provide a hydrophobic barrier that protects land plants from environmental stresses. However, the role of key wax biosynthetic enzymes, such as aldehyde decarbonylase CER1, in maize stress adaptation remains unclear. In this study, we performed a functional characterization of ZmCER1 in maize. Our results show that the overexpression of ZmCER1 in both Arabidopsis and maize substantially improved tolerance to these abiotic stresses. Under stress conditions, the transgenic plants displayed better growth performance, elevated activities of antioxidant enzymes, and reduced levels of oxidative damage markers. Additionally, the alkane content—especially that of C29 and C31—was significantly increased in the ZmCER1OE lines. Through a yeast two-hybrid screening (Y2H screening), we identified the peroxisomal membrane protein ZmPEX14 as an interacting partner of ZmCER1, and the interaction was further confirmed by luciferase complementation (LUC) and bimolecular fluorescence complementation (BiFC) assays. We propose a model wherein ZmCER1 enhances stress tolerance not only by reinforcing the cuticular wax barrier but also by potentially regulating reactive oxygen species (ROS) detoxification via association with ZmPEX14. Collectively, our findings establish ZmCER1 as a key regulator of abiotic stress tolerance in maize and a promising candidate for the molecular breeding of stress-resilient crops. Full article

Biophysical sensing technologies have become central to modern drug discovery because they enable direct, quantitative characterization of ligand–target interactions. In contrast to conventional biochemical and cellular assays that infer binding from downstream functional responses, biophysical methods detect interaction events through measurable physical changes such as refractive index, heat, fluorescence, mass, or protein stability. This review surveys the major classes of biophysical sensors used in drug discovery, including surface-based optical methods, calorimetry, solution-state spectroscopic techniques, mass spectrometry-based approaches, and cellular target engagement assays. For each modality, we outline the measurement principle, the key parameters obtained, and its value across hit identification, hit validation, lead optimization, and mechanism-of-action studies. We also emphasize the growing importance of combining orthogonal methods to improve confidence in binding data, resolve assay artifacts, and strengthen early decision-making. Finally, we discuss how biophysical measurements are increasingly integrated with structural biology and computational analysis to support more predictive and mechanism-driven discovery workflows. Collectively, these technologies provide a richer and more reliable understanding of molecular recognition and thereby improve the progression of drug candidates. Full article