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Biology subjects

Wei, T.

Publications and source records attributed to Wei, T..

At least 19 recordsLinked to original sources

DNA aptamers to interfere with HasA, the hemophore of the heme assimilation system in Pseudomonas aeruginosa, as a potential antimicrobial strategy

Pseudomonas aeruginosa relies on heme acquisition to sustain growth and virulence in the iron-limited environment of the host, particularly in the acidic airways of patients with cystic fibrosis where antibiotic efficacy is markedly reduced. The Has heme assimilation system is initiated by the secreted hemophore HasA, which binds extracellular heme and delivers it to the outer-membrane receptor HasR. During infection, HasA is proteolytically processed, generating a truncated form that constitutes the biologically relevant species. Here, we characterise the structural and functional properties of truncated HasA under disease-associated acidic conditions (pH 6.5) and perform a rationally designed Systemic Evolution of Ligands by EXponential enrichment (SELEX) method to identify DNA aptamers capable of binding this hemophore. Biophysical analyses revealed that truncated HasA is folded, displays a mixed /{beta} secondary structure, and exists as a concentration-dependent mixture of monomers and domain-swapped dimers. Circular dichroism and nano-differential scanning fluorimetry identified two thermal transitions, consistent with the coexistence of apo/holo and monomer/dimer species. The apo protein bound heme with high affinity (KD = 113 nM) and a 1:1 stoichiometry, confirming preservation of its functional binding mechanism. Twelve rounds of SELEX, incorporating target switching and platform switching, yielded a highly enriched aptamer pool dominated by two sequences, HasA_1 and HasA_2. ELONA (Enzyme-Linked Oligonucleotide Assay) assays demonstrated that both aptamers bind specifically to truncated HasA, and biolayer interferometry revealed nanomolar dissociation constants (KD = 0.59 M and 0.32 M, respectively). These aptamers did not bind full-length HasA, BSA, or control sequences, confirming that selection under acidic conditions drove specificity toward the physiologically relevant form of the hemophore. Our findings identify HasA-binding DNA aptamers that retain function in acidic environments where antibiotic potency is compromised, highlighting their potential as molecular tools to disrupt heme acquisition in P. aeruginosa. This work establishes a foundation for developing aptamer-based antimicrobial strategies targeting the Has system, particularly under acidic conditions where conventional antibiotics are compromised.

biophysics↗

The cellular and genetic basis of inflorescence divergence between maize and teosinte

The domestication of maize from teosinte involved dramatic remodeling of the ear, yet the cellular and genetic bases of this transformation remain unclear. Here, we generate a single-nucleus and spatial transcriptome atlas of developing maize and teosinte ears. Comparative analysis reveals divergence in cob-associated cell types, with enhanced cytokinin signaling and reduced growth-inhibitory signals collectively driving cob thickening and enlargement in maize. We further demonstrate that domestication expanded the spatial expression domain of key transcription factors in maize meristem cells, enhancing the potential for increasing kernel number. Additionally, we verified a major domestication gene, ZmSPD1, in which two nonsynonymous SNPs differentiate maize from teosinte and alter jasmonic acid (JA) levels in the ear, thereby suppressing spikelet abortion to effectively double kernel production. These findings provide a cell-resolved mechanistic framework for how cob architecture and kernel number were shaped during maize domestication, offering new insights into the formation of key agronomic traits.

plant biology↗

TEDlm: domain-centric protein language models with optional structural pre-training

Conventional protein language models are pretrained on full-length sequences that interleave multiple domains with linkers and disordered regions, diluting fold-specific signals. Our approach pretrains masked language models on structurally-defined domain segments from The Encyclopedia of Domains. TEDlm learns from domain sequences alone with a standard MLM objective, while its variant TEDlm3D adds a C distance-guided contact loss that supervises the attention maps. On CATH S40 remote-homology detection (<40% identity), the domain-centric pretraining has a bigger effect than model scale: at the final layer, a 650M-parameter TEDlm achieves an AUROC1 of 0.28 compared to 0.22 for ESM2 3B, whereas TEDlm3D reaches 0.50, approaching the structure-based search tool Foldseek (0.53) from sequence alone at inference. Attention-map and categorical Jacobian probes show that the contact signal is encoded in the model representations themselves, not only in a trained output head. TEDlm variants also substantially improve zero-shot Molecular Function prediction over ESM2, while matching it on various biophysical property tasks, indicating that signals are largely domain-intrinsic. Together, these results position domain-centric pretraining as a route to compact, structurally informed protein language models.

bioinformatics↗

Advancing ab initio genome annotation with OrionGeno

The rapid expansion of eukaryotic genome sequencing has created an urgent demand for accurate and scalable genome annotation. Existing ab initio methods often struggle to reconstruct complex gene architectures and generalize across distant lineages, limiting their use for large-scale annotation. Here we present OrionGeno, a phylogeny-aware deep learning model for end-to-end eukaryotic genome annotation. OrionGeno integrates phylogenetic context, long-range sequence modeling and joint prediction of gene structures and repetitive elements to annotate exons, introns, untranslated regions and repeats directly from genomic sequences. Applied to chromosome-level eukaryotic genomes from NCBI that lack annotations, OrionGeno generates annotations for more than 5,300 genomes, substantially expanding public annotation resources. Across diverse eukaryotic lineages, OrionGeno outperforms state-of-the-art methods at the exon, gene, protein-sequence, and protein-structural levels. It also identifies candidate protein-coding loci absent from reference protein-coding annotations in well-curated genomes. Together with a web platform and integrated annotation database, OrionGeno provides a scalable and accessible framework for translating genome assemblies into functional biological resources and supporting large-scale biodiversity initiatives such as the Earth BioGenome Project.

bioinformatics↗

OneGenomeRice (OGR): A Genomic Foundation Model for Rice

The transition of genomics to a predictive intelligence discipline is driven by the advent of genomic foundation models. While substantial progress has been observed in all-life and human-centric models, plant species, particularly for the staple crops, remains hindered by a lack of models. Here we introduce OneGenome-Rice (OGR), a rice (Oryza sativa) genomic foundation model pre-trained on a genomic dataset comprising 422 high-quality genomes of cultivated and wild rice. OGR is engineered upon a Mixture of Experts (MoE) transformer architecture with 1.25-billion parameters and supports an ultra-long context window of up to 1 million base (Mb) pairs at single-nucleotide resolution. A comprehensive benchmark demonstrated that OGR significantly outperforms existing state-of-the-art multi-plant or all-life genome models in 11 categories (e.g. motif identification, sweep detection, etc). We further demonstrated the utility of OGR in several downstream applications, such as indica-japonica subspecies introgression analysis, identification of agronomy trait-associated functional loci and prediction of gene expression from DNA sequences. These results establish OGR as a promising foundational computational infrastructure for rice functional genomics and precision breeding. The OGR and its fine-tuned models, including pretrained weights, training code and the rice genomic benchmark suit, have been fully opened.

genomics↗

Sustained interferon exposure creates a hyper-metastatic subset of melanoma cells

We generated interferon signaling reporters in human and mouse melanoma cells and observed heterogeneity in interferon responses among cells in the same tumors. This was marked by inflamed regions within primary tumors that contained increased numbers of interferon-expressing macrophages/monocytes and elevated type I interferon signaling in melanoma cells. Melanoma cells that expressed GFP-Interferon stimulated gene 15 (ISG15) or GFP-Interferon-induced protein with tetraticopeptide repeats 3 (IFIT3) fusion reporters exhibited a profoundly increased ability to form metastatic tumors as compared to GFP-ISG15- melanoma cells from the same tumors, particularly when transplanted into immunocompetent mice. The increased metastatic potential of GFP-ISG15+ cells was driven partly by increased CD47 expression, which protected metastasizing cells from phagocytosis by macrophages. Macrophages are thus a double-edged sword, inhibiting the development of metastatic disease by phagocytosing disseminated melanoma cells, but promoting the emergence of a hyper-metastatic subpopulation of cells in inflamed regions of primary tumors as a consequence of sustained interferon production. One sentence summarySustained interferon exposure within inflamed regions of primary tumors dramatically increases the metastatic potential of a subpopulation of melanoma cells, partly by promoting CD47 expression, which protects against phagocytosis by macrophages.

cancer biology↗

Leptin Receptor+ cells create a perisinusoidal niche for thrombopoiesis in the bone marrow by synthesizing CXCL14

Leptin Receptor-expressing (LepR+) stromal cells in the bone marrow are a critical source of growth factors for the maintenance of hematopoietic stem cells (HSCs) and most restricted hematopoietic progenitors. An important unresolved question is whether they also regulate terminal differentiation in some hematopoietic cells. We found that LepR+ cells promote thrombopoiesis by synthesizing the chemokine CXCL14, which is expressed in the bone marrow by a subset of LepR+ cells. Cxcl14-expressing LepR+ cells extend fine processes that wrap around perisinusoidal megakaryocytes. Deletion of Cxcl14 from LepR+ cells did not significantly alter HSC function or most aspects of bone marrow hematopoiesis, including megakaryocyte generation; however, it significantly reduced the numbers of proplatelet-forming megakaryocytes in the bone marrow and platelets in the blood. CXCL14 promoted platelet formation by remodeling lipid metabolism in megakaryocytes, increasing fatty acid transporter expression and enabling megakaryocytes to take up more polyunsaturated fatty acids from circulation. A high fat diet rescued the formation of proplatelet-forming megakaryocytes and platelets in Lepr-cre; Cxcl14 fl/fl mice. CXCL14 protein was sufficient to promote platelet formation by megakaryocytes in vitro and in vivo. LepR+ cells thus create a perisinusoidal niche for thrombopoiesis by producing CXCL14, which regulates lipid metabolism and terminal differentiation in megakaryocytes. Key pointsO_LILeptin Receptor+ stromal cells regulate terminal differentiation in megakaryocytes in addition to maintaining stem and progenitor cells C_LIO_LICXCL14 from Leptin Receptor+ cells promotes the formation of platelets by remodeling lipid metabolism in megakaryocytes in the bone marrow C_LI

cell biology↗

Cross-Species Cortical Geometry Reveals Conserved Gradients Across Primates and Human-Specific Expansion

The primate cerebral cortex, characterized by its complex structural geometry, underlies advanced cognitive functions and represents a defining feature distinguishing primates from other mammals. However, cross-species patterns of cortical geometry and the links between human cortical geometry and transcriptional architecture remain poorly understood. We developed a geometry-based cross-species cortical alignment framework to systematically investigate the similarities and differences in structural connectivity and cortical expansion characteristics among macaques, chimpanzees, and humans, and additionally explored the transcriptional underpinnings of human cortical geometry. Our analysis revealed conserved spatial patterns of cortical geometric features across species, providing the foundation for constructing a cross-species structural common space to support the alignment framework. We found that primary sensory, somatomotor, and face-selective regions exhibited high structural connectivity similarity across species, whereas prefrontal and parietal association cortices displayed significant divergence. We also identified disproportionate cortical expansion in the default mode network, with a consistent expansion trend across different evolutionary lineages in primates. Furthermore, neuroimage-transcription analysis indicated that cortical geometric features were correlated with transcriptional profiles enriched in neurodevelopmental and connectivity-related pathways. These results highlight a conserved yet hierarchically differentiated organization of the cerebral cortex in primates, providing new insights into the biological basis of human brain evolution.

neuroscience↗

β-Nicotinamide mononucleotide: a novel broad-spectrum CRISPR inhibitor

CRISPR-Cas systems have revolutionized genome editing with their precision and versatility, enabling transformative applications in various fields, especially in the treatment of genetic diseases. However, the clinical translation of this technology is hindered by challenges such as off-target effects and uncontrolled nuclease activity. At the same time, it has the possibility of causing biosecurity risks, underscoring the urgent need for reliable regulatory tools. Existing CRISPR inhibitors, primarily anti-CRISPR protein or exogenously synthesized small molecules, are limited by their specificity or bioavailability and long research period, unable to address the diverse CRISPR nucleases used in research and therapy. Based on the phenomena obtained from various in vitro and cell experiments, combining molecular dynamics simulation and bio - layer interferometry (BLI) analysis, here we report a naturally occurring small-molecule {beta}-nicotinamide mononucleotide (NMN), the first known endogenous metabolite with broad-spectrum inhibitory activity against multiple CRISPR-associated proteins (Cas9, Cas12, and Cas13) through various mechanisms. Our findings establish NMN as a dual-purpose tool, which reduces cell damage caused by gene editing and mitigates risks of unintended genetic modifications in research and clinical settings. This discovery further shortens the distance between basic medicine and translational medicine, providing a new approach for developing endogenous regulatory molecules in genome engineering.

genetics↗

Nanoplastics Penetration Across the Blood-Brain Barrier

Microplastics and nanoplastics (MNPs), originating from plastic degradation, have arisen to be a threat to ecology and human health. Alarmingly, the penetration of MNPs across the highly selective blood-brain barrier (BBB) poses an emerging and urgent risk, yet its molecular mechanism remains unexplored. In this work, using long-time-scale (over 27 s) all-atom explicit solvent steered molecular dynamics, we examine the free energy of the passive permeation of four polymer nanoparticles: polyethylene, polypropylene, polystyrene, and polyethylene terephthalate. Polyethylene and polypropylene nanoparticles exhibited a remarkable preference for entering the BBB, attributed to their high hydrophobicity. Our study reveals that polymers can enter the BBB as polymerized nanoplastics and exit as dispersed polymer chains as the nanoparticles dissolve within the BBB. Further, the crystalline structure of polyethylene nanoparticles is found to adopt varying orientations. Our work advances the knowledge about the mechanism of nanoplastic penetration across the BBB, which could aid in the rational design of therapeutics for nanoplastic penetration inhibitors. TOC Graphics O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/675462v1_ufig1.gif" ALT="Figure 1"> View larger version (71K): org.highwire.dtl.DTLVardef@1b20796org.highwire.dtl.DTLVardef@1102985org.highwire.dtl.DTLVardef@15fc22org.highwire.dtl.DTLVardef@15c2260_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

Strain variation identifies a neural substrate for behavioral evolution in Drosophila

Sexual selection acts on heritable differences within species, driving the parallel diversification of signal production in one sex and behavioral responses in the other. This coevolution implies that sensory preferences are themselves variable traits, yet the neural basis of such variation remains unclear. Here, we identify striking strain-specific differences in Drosophila melanogaster male mate preferences that arise from differential sensitivity to heterospecific female pheromones. We map this variation to an ascending inhibitory pathway targeting a central circuit node known to dynamically pattern courtship. Inhibitory circuits thus emerge as a key locus for shaping mate discrimination via transient suppression of a males pursuit. Our findings highlight how variation within sensory circuitry serves as a substrate for selection, fueling the evolution of reproductive barriers between species.

neuroscience↗

High glucose levels impair the body's renal protective function during water deprivation by blunting the FXR-TonEBP axis

BackgroundDehydration often leads to kidney-related complications, yet its impact on diabetic patients remains underexplored. This study aimed to investigate the effects of dehydration on diabetic nephropathy(DN) and the underlying mechanisms of injury. MethodsWe analyzed clinical outcomes in 81 dehydration-induced acute kidney injury patients (35 with diabetes) and validated findings in streptozotocin-induced diabetic mice subjected to intermittent water deprivation (WD). Renal function, histopathology, and molecular markers (FXR, TonEBP, AQP2, gp91, apoptosis regulators) were assessed. ResultsKidney injury was aggravated after water deprivation in patients with diabetics and it is difficult to recover after water supplementation, with poor prognosis. Animal experiments have shown that compared with mice in a normal state, dehydration challenge aggravated renal damage in diabetic mice with increased serum creatinine, pathological damage, and renal interstitial cell apoptosis. Mechanistically, in a normal state FXR-TonEBP axis was enhanced to protect the kidney after water deprivation challenge, but this compensatory protective response was blunted in the diabetic state. ConclusionHyperglycemia blunts the FXR-TonEBP-osmolyte pathway during dehydration, compromising renal medullary protection. Targeting this axis may mitigate dehydration risks in diabetic nephropathy.

physiology↗

Prediction of soil probiotics based on foundation model representation enhancement and stacked aggregation classifier

Soil probiotics are indispensable in agro-ecosystem, which enhances crop yield through nutrient solubilization, pathogen suppression, and soil structure improvement. However, reliable prediction methods for soil probiotics remain absent. In this study, we utilize genomic foundation models to generate representations from samples sequences, and then, enhance them by deeply integrating domain-specific engineered features. The enhanced representations enable training a powerful classifier for a target task, instead of common parameter fine-tuning. Inspired by the stacking ensemble learning framework, we also design a stacked aggregation classifier. It predicts the label of a sample with only leveraging partial sequence segments from this sample, effectively addressing the challenges in processing long sequences. The proposed method is applied on prediction of soil probiotics and obtains 97.50% accuracy and 0.9807 AUC value on balanced and imbalanced test sets, respectively. Potential functional genes are revealed from the predicted probiotics, providing biologically insights for more related studies.

bioinformatics↗

Treating Myotonic Dystrophy with artificial RNA endonucleases to specifically degrade toxic RNA expansions

Myotonic dystrophy type 1 (DM1), the most common autosomal dominant muscular disorder, is driven by expanded CUG repeats in the 3' UTR of DMPK gene, which sequester RNA-binding proteins and cause aberrant alternative splicing. Despite extensive study, no effective treatment exists, and current care remains limited to symptomatic management. Using a customized dual-color reporter carrying RNA repeats in different lengths, we engineered a new class of programmable artificial enzymes (artificial RNA cleavers, or ARCs) that preferentially degrade the pathogenic repeats both in cells and in a mouse model. We further examined the in vivo efficacy of ARCs by systematically delivering ARCs into the DM1 mouse model with muscle-specific adeno-associated viruses, and validated that ARCs can rescue the muscular pathology and movement ability. The treatment by ARCs showed sustained efficacy, low immunogenicity, and minimal off-target effects in animal model, which are key concerns in clinical translation of gene therapies. Collectively, these findings establish ARCs as a potent and precise RNA-targeting platform with strong clinical potential for the treatment of DM1 and other repeat expansion disorders.

synthetic biology↗

DynaRNA: Dynamic RNA Conformation Ensemble Generation with Diffusion Model

RNA plays a wide variety of roles in biological processes. In addition to serving as the coding messenger RNA (mRNA), the vast majority of RNAs function as non-coding RNAs (ncRNAs), where their dynamic structural ensemble is critical for mediating diverse biological functions. However, traditional experimental techniques and molecular dynamics (MD) simulations face significant challenges in characterizing the conformational dynamics of RNA, due to inherent methodological limitations and high computing power cost. We herein presented DynaRNA, a diffusion-based generative model for RNA conformation ensemble. DynaRNA employs denoising diffusion probabilistic model (DDPM) with equivariant graph neural network (EGNN) to directly model RNA 3D coordinates, enabling rapid exploration of RNA conformational space. DynaRNA enables end-to-end generation of RNA conformation ensemble reproducing experimental geometries without the need for Multiple Sequence Alignments (MSA) information. Our results demonstrate that DynaRNA effectively and accurately generate tetranucleotides ensemble with lower intercalation rate than molecular dynamics simulations. Besides, DynaRNA has the ability to capture rare excited states of HIV TAR(trans-activation response) element, and recapitulate de novo folding of tetraloops. DynaRNA serve as a versatile and efficient platform for modeling RNA structural dynamics, with broad implications potential in RNA structural biology, synthetic biology, and therapeutic development.

bioinformatics↗

Extrusion-modulated DnaA activity oscillations coordinate DNA replication with biomass growth

Robust control of DNA replication is fundamental to bacterial proliferation. In Escherichia coli, replication initiation is thought to be regulated by oscillations in DnaA activity, driven by DnaA-chromosome interactions that differ among leading models. However, direct evidence linking these oscillations to replication initiation has been lacking, and existing models fail to explain the observed decoupling of replication initiation from dnaA expression. Here, we establish a direct link between DnaA activity and replication initiation by demonstrating robust oscillations in DnaA activity, which peak precisely at replication initiation across diverse growth conditions and genetic perturbations. Notably, these oscillations persist even when dnaA transcription remains constant, suggesting a regulatory mechanism that modulates DnaA activity independently of its expression. Additionally, we propose an extrusion model in which DNA-binding proteins sense biomass-DNA imbalance and extrude DnaA from the chromosome to trigger replication, overcoming limitations of existing models. Consistent with this model, perturbation of the nucleoid-associated protein H-NS modulates DnaA activity and replication timing, supporting its mechanistic validity.

microbiology↗

Specific Pathogen Free Ten Gene-Edited Pig Donor for Xenotransplantation

Xenotransplantation has entered the clinical phase to fulfill the global organ shortage. However, recent clinical studies revealed that the xenograft from current gene-edited (GE) pigs still poses the risk of immune rejection, and biosafety concerns. In this study, we successfully constructed a large batch of 10- (GTKO/CMAHKO/ {beta}4GalNT2KO/hCD46/hCD55/hCD59/hTBM/hEPCR/hCD39/hCD47) GE cloned (GEC) donor pigs by utilizing gene editing and somatic cell cloning technology, and successfully obtained F1 generation. Phenotypic characterization of 10-GEC pigs showed the deletion of three xenoantigens along with expression of seven human transgenes in various tissues. Digital droplet polymerase chain reaction, and whole genome sequencing indicated 2 copies of hCD46/hCD55/hCD59/hTBM/hCD39 and 1 copy of hEPCR/hCD47 in pig genome without significant off-target and damage to the porcine own functional genes. The validation results showed that 10-GEC pigs effectively inhibited the attacks of human antibodies, complement, and macrophages on porcine endothelial cells and alleviated the coagulation abnormalities between pigs and humans. 10-GEC pigs were negative for all zoonotic pathogens (48) including cytomegalovirus, except streptococcal infections. Kidney, heart, and liver xenografts from these 10-GE pigs were transplanted to non-human primates (NHP), which started working normally without hyperacute rejection. Among them, the heart and liver transplant recipient died without resuscitation due to unexpected interruption of oxygen supply, while the 2 kidney transplant recipients survived for 23 and 16 days, respectively. Pathological analysis showed that 10-GE pig kidney xenografts showed mesenchymal congestion, and fibrosis, cellular hyperplasia, with minor antibody and complement deposition, and significantly reduced the infiltration of CD68+ macrophage. In summary, we successfully produced a group of specific pathogen free GEC donor pigs that effectively mitigated immune rejection upon multi-organ transplantation to NHP.

immunology↗

YPEL controls synapse development through p62-Nrf2 antioxidant pathway in Drosophila neuromuscular junction

The Yippee-like (YPEL) genes are highly conserved among all eukaryotic species, yet the molecular and cellular pathways that YPEL regulate are poorly understood. Human and animal studies suggest that YPEL is involved in nervous system functions. Here we report that YPEL is necessary for synapse development in neuromuscular junction and motor functions in Drosophila. YPEL interacts with the Drosophila p62, Refractory to sigma P, which forms cytoplasmic proteinaceous bodies for selective autophagy and signaling. YPEL overexpression decreased p62 bodies, while increased p62 bodies were observed in YPEL mutant neurons. Suppressing p62 bodies by reducing p62 gene dosage significantly alleviated both synaptic and locomotion defects in YPEL mutants, suggesting that YPEL acts through p62 for synapse development. On the other hand, suppressing p62 bodies via autophagy did not restore synapse development in YPEL mutants. Interestingly, reduced levels of reactive oxygen species were found in YPEL mutants, which is consistent with the role of p62 in promoting the nuclear factor erythroid 2-related factor 2 (Nrf2) antioxidant pathway. Overexpressing Drosophila Nrf2, Cap n collar (Cnc), phenocopied the synaptic and locomotion deficits in YPEL mutants. Importantly, both synaptic and locomotion defects were completely rescued by knocking down Cnc in YPEL mutant motor neurons. Taken together, our study demonstrates that YPEL negatively controls p62 - Nrf2 antioxidant pathway for neuromuscular synapse development and locomotion.

neuroscience↗