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Biomedical subjects

Wei Li

Publications and source records attributed to Wei Li.

At least 37 records · Page 2Linked to original sources

Allelic variation in UVR8 modulates thermotolerance-yield tradeoffs in plants.

Industrial activities have driven stratospheric ozone depletion, increasing surface UV-B radiation while exacerbating global warming. These changes limit crop productivity, alter species distributions, and disrupt plant metabolic processes, but the mechanisms linking energy signaling to heat-stress responses remain unclear. Here, we identify the photoreceptor UV RESISTANCE LOCUS 8b (OsUVR8b) as a substrate of SNF1-related protein kinase 1 (SnRK1) in rice and reveal a natural variation at its SnRK1-mediated phosphorylation site (Ser177) that is correlated with adaptation to tropical climates. The thermotolerant OsUVR8bAla177 accessions show geographic enrichment in low-latitude regions with elevated temperatures. Functional validation through prime editing demonstrated that a Ser177-to-Ala177 substitution enhances heat tolerance, whereas the reverse edit compromises it. Mechanistically, OsUVR8bSer177 exhibits reduced stability and an impaired capacity for scavenging reactive oxygen species under heat stress. The regulatory function of the OsUVR8b Ser177 phosphorylation site, a molecular switch that governs UVR8 stability and thermotolerance, can be functionally re-established across rice, Arabidopsis, tobacco, and soybean, indicating its preservation during domestication. Notably, OsUVR8bSer177 maintains higher fertility and yield under non-stress conditions, indicating a tradeoff between heat adaptation and productivity. Our findings thus establish this switch as a key regulator of the yield-resilience balance and a promising target for breeding of climate-resilient crops.

Thermotolerance

A multi-analyte cfDNA-based blood test for early detection of hepatocellular carcinoma.

BACKGROUND & AIMS: Patients at high risk for hepatocellular carcinoma (HCC) are recommended to undergo biannual abdominal ultrasound surveillance; however, ultrasound has low sensitivity for small HCC nodules and is associated with poor adherence. To address these limitations, the multianalyte HelioLiver Dx blood test was developed to aid in the detection of HCC in patients with cirrhosis who are at high risk for HCC. METHODS: The performance of the HelioLiver Dx test and ultrasound for the detection of HCC in adults with cirrhosis was evaluated in a cross-sectional, prospective, blinded, multicenter validation study. All participants provided blood specimens for the HelioLiver Dx test and underwent ultrasound. All participants also underwent multiphasic MRI, which served as the reference standard for determining HCC status. RESULTS: Of 1,268 evaluable participants, 46 (3.6%) were considered to have HCC as determined by MRI, with many (46%) having small HCC lesions ≤2 cm in diameter. The HelioLiver Dx test had a sensitivity of 47.8% (95% CI 32.9-63.1) for all HCC lesions and 28.6% (95% CI 11.3-52.2) for HCC lesions ≤2 cm. In contrast, ultrasound demonstrated a lower sensitivity of 28.3% (95% CI 16.0-43.5) for all HCC lesions and failed to detect any (0%; 95% CI 0.0-16.1) HCC lesions ≤2 cm. The specificity of HelioLiver Dx and ultrasound were 87.6% (95% CI 85.6-89.4) and 93.9% (95% CI 92.5-95.2), respectively. The HelioLiver Dx test met prespecified co-primary endpoints for superior sensitivity and non-inferior specificity compared to ultrasound. CONCLUSION: Compared with ultrasound and alpha-fetoprotein, the HelioLiver Dx test identified more HCC lesions overall, including more small lesions. A convenient and accurate blood-based test may improve HCC surveillance by facilitating earlier detection and reducing patient barriers to testing. GOV IDENTIFIER: NCT03694600 IMPACT AND IMPLICATIONS: There is a significant, unmet clinical need for more sensitive and accessible methods for the early detection of hepatocellular carcinoma (HCC) in high-risk patient populations. The current study is the first blinded, multicenter, prospective study to evaluate the performance of a multianalyte blood test compared to abdominal ultrasound for the detection of HCC among patients with cirrhosis. The multianalyte HelioLiver Dx test met prespecified co-primary endpoints for superior sensitivity and non-inferior specificity compared to ultrasound for detection of HCC lesions. The availability of a more accessible, convenient and sensitive blood test to aid in the detection of HCC may improve utilization and consequently clinical outcomes for high-risk patients via reduction of care barriers and improved early HCC detection. CLINICALTRIALS: gov identifier: NCT03694600.

Humans

COMMD9-regulated endothelial cell abnormality-induced hypercoagulability is associated with Budd-Chiari syndrome.

BACKGROUND: Budd-Chiari syndrome (BCS) presents diagnostic and treatment challenges owing to its insidious onset. Genetic variants associated with BCS vary geographically; in Asian populations, the condition is primarily caused by membranous obstruction composed of endothelial cells (ECs). A better understanding of the genetic pathogenesis of membranous BCS may offer new insights into disease mechanisms. METHODS: This study employed whole-exome sequencing to identify candidate genes responsible for EC abnormalities in 485 patients with membranous BCS and 329 patients with vascular malformations (VaMs). Functional investigations were conducted to validate the selected genes in vitro and in vivo. RESULTS: Whole-exome data revealed that the frequency of variants in the vascular function-related KLHDC2 exceeded that of JAK2 in BCS. Knockdown of KLHDC2 promoted adhesion and suppressed proliferation of ECs. In addition, 92 genes enriched for rare variants overlapped between BCS and VaMs. Systems biology analysis revealed two gene clusters, including COMMD9, enriched in proteins intolerant to loss-of-function mutations. Furthermore, suppression of COMMD9 impaired EC migration and tube formation, inhibited subintestinal angiogenic sprouting in zebrafish, and elevated EC adhesion. Transcriptomic analysis linked COMMD9 to EC abnormalities via the PI3K-Akt pathway. Commd9 knockdown promoted venous hypercoagulability in vivo following drug or ligation-induced stenosis. CONCLUSIONS: These findings indicate that multiple rare genetic variants, particularly in COMMD9, are involved in the development of membranous BCS by regulating hypercoagulability induced by EC abnormalities. These findings may help guide future clinical research towards improved understanding and treatment of BCS.

Budd–Chiari syndrome

A multi-modal survival prediction framework with group-based batch training and structural consistency alignment.

OBJECTIVE: Integrating whole-slide images (WSIs) with transcriptomic profiles is pivotal for enhancing cancer survival prediction. However, the intrinsic gigapixel resolution and variable sequence lengths of WSIs create a fundamental trade-off between training efficiency and the preservation of data heterogeneity in existing frameworks. Furthermore, substantial statistical and structural discrepancies between histological and genomic modalities often impede effective cross-modal alignment and fusion, thereby limiting prognostic accuracy. METHODS: We propose PRISM, an efficient multi-modal learning framework for integrating WSIs with transcriptomic profiles. To reconcile training efficiency with full data heterogeneity, PRISM first stochastically partitions variable-length WSI sequences into a main subset and a complementary residual subset, both of which are packed into fixed-length groups for batch training. The main subset is processed in the main branch, utilizing isolation masking to maintain intra-group sequence independence. Simultaneously, the residual subset is consolidated into "hyperslides" within a residual branch that leverages tailored supervision, effectively capturing inter-slide correlations. Furthermore, PRISM integrates an Informative Token Aggregation (ITA) module to reduce redundancy in WSIs and employs Cross-batch Structural Consistency Alignment (CBSCA) mechanism to enhance inter-modal structural connectivity. Finally, efficient cross-modal feature interaction is achieved through a Low-rank Bilinear Gated Fusion (LBGF) module. Code is available at https://github.com/Alisa2080/PRISM. RESULTS: Compared with existing methods, PRISM achieves the best overall C-index across five TCGA cohorts. On the larger TCGA-BRCA dataset, PRISM requires only 6 hours of training time, substantially reducing computational cost relative to strong multimodal baselines. Furthermore, comprehensive evaluations demonstrate that PRISM achieves the best overall IBS ranking and favorable time-dependent AUC performance at 1, 3, and 5 years, thereby delivering a more favorable trade-off between prognostic performance and computational efficiency. CONCLUSION: PRISM provides a favorable balance between predictive performance, calibration quality, and computational efficiency, highlighting its potential for practical deployment in multimodal survival modeling for computational pathology.

Humans

Genetic and physical interactions reveal overlapping and distinct contributions to meiotic double-strand break formation in C. elegans.

Double-strand breaks (DSBs) are the most deleterious lesions experienced by our genome. Yet, DSBs are intentionally induced during gamete formation to promote the exchange of genetic material between homologous chromosomes. While the conserved topoisomerase-like enzyme Spo11 catalyzes DSBs, additional regulatory proteins-referred to as 'Spo11 accessory factors'-regulate the number, timing, and placement of DSBs during meiotic prophase, ensuring that SPO-11 does not wreak havoc on the genome. Despite the importance of the accessory factors, they are poorly conserved at the sequence level, suggesting that these factors may adopt unique functions in different species. In this work, we present a detailed analysis of the genetic and physical interactions between the DSB factors in the nematode Caenorhabditis elegans, providing new insights into conserved and novel functions of these proteins. This work shows that HIM-5 is the determinant of X-chromosome-specific crossovers and that its retention in the nucleus is dependent on DSB-1, the sole accessory factor that interacts with SPO-11. We further provide evidence that HIM-5 mediates interactions with the different accessory factors subgroups, providing insights into how components on the DNA loops may interact with the chromosome axis.

Animals

Integrating histology and spatial transcriptomics via multimodal transformers and contrastive representation learning for accurate gene expression prediction.

Predicting spatial gene expression from Histological images is a fundamental task in understanding tissue organization and molecular phenotypes. However, existing methods often rely on single-model representations or lack effective alignment between image and transcriptomic features. To address these limitations, we propose a unified multimodal learning framework that integrates histological imaging and spatial transcriptomics through a shared latent representation space. Specifically, histological H&E images are encoded by a ResNet50-based convolutional stem and a MobileViT Transformer backbone to extract hierarchical visual representations. Both modalities are projected into a shared latent space via linear-GELU-dropout transformation blocks, enabling cross-modal alignment through a contrastive learning objective that maximizes agreement between the corresponding image and the spot embeddings. Experimental results on the 10x Genomics Visium dataset of human liver tissue demonstrate that MViTGene achieves significantly higher prediction accuracy than existing methods across multiple gene subsets, with improvements of 20%, 33%, and 12% in predicting marker genes, highly expressed genes, and highly variable genes, respectively. The significant improvement in relevance indicates that the model can more accurately capture the true correspondence between tissue morphology and gene expression, therefore enabling more reliable biological interpretation. It provides a computational tool for high-throughput spatial gene expression prediction that balances performance and interpretability.

Humans

Multiomics analysis reveals that senescent CXCL16+ macrophages promote lung adenocarcinoma progression through TGF-β signalling.

BACKGROUND: Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer and remains a leading cause of cancer-related mortality worldwide. Although, immunotherapy has become a cornerstone of first-line treatment, only 20-30% of patients achieve a durable clinical benefit, largely because of the complexity and heterogeneity of the tumour immune microenvironment. Emerging evidence indicates that cellular senescence, particularly within immune cells, contributes to tumour progression by impairing antitumour immunity; however, its mechanistic role in LUAD remains incompletely understood. METHODS: We performed an integrative multiomics analysis incorporating genome-wide association studies (GWASs), bulk RNA sequencing, single-cell RNA sequencing, and spatial transcriptomics to characterize immune heterogeneity in LUAD. Cellular senescence was validated by performing staining for senescence-associated β-galactosidase and the canonical markers p16 and p21. SHAP analysis was applied to evaluate the contribution of CXCL16+ macrophages. Functional roles were assessed using coculture assays, in vitro and in vivo tumour models, orthotopic tumour implantation, and multiplex immunofluorescence staining of clinical specimens. RESULTS: A summary data-based on Mendelian randomization analysis integrating GWAS and TCGA data identified CXCL16 as a senescence-associated gene that is causally linked to the LUAD risk. Single-cell RNA sequencing revealed that CXCL16 is predominantly expressed in macrophages, and the pseudotime analysis together with β-galactosidase staining confirmed its association with macrophage senescence. Spatial transcriptomics and immunofluorescence staining showed the marked enrichment of CXCL16+ macrophages in LUAD tissues. The cell-cell communication analysis further revealed a strong association between the number of CXCL16+ macrophages and the activation of the TGF-β signalling pathway within the tumour microenvironment. Functionally, CXCL16+ macrophages promoted LUAD progression via TGF-β signalling, as validated in vitro and in subcutaneous and orthotopic tumour models. Molecular dynamics simulations additionally suggested that LUAD patients with high levels of CXCL16+ macrophage infiltration may exhibit increased sensitivity to bosutinib. CONCLUSIONS: CXCL16 promotes macrophage senescence, and senescent CXCL16+ macrophages drive LUAD progression through TGF-β signalling. These findings identify CXCL16+ macrophages as a biologically and therapeutically relevant immune cell population, highlighting a potential target for precision intervention in LUAD.

Humans

Evaluation of the efficacy of optical genome mapping in prenatal diagnosis: a retrospective cohort study.

BACKGROUND: Optical genome mapping (OGM) is an emerging cytogenetic method for concurrently detecting structural variants (SVs) and copy number variants (CNVs). However, its clinical application in prenatal diagnosis remains underexplored. METHODS: This study retrospectively evaluated the clinical validity of OGM in prenatal diagnosis by comparing with two routine genetic testing methods: karyotyping and chromosomal microarray analysis (CMA). Both positive and negative cases detected by routine genetic methods were enrolled to evaluate the technical concordance of OGM and its capability to improve diagnostic rate in negative cases. The exclusion criteria were balanced centromeric translocations, mosaic cases with cellular fractions&#x2009;<&#x2009;20%, and loss of heterozygosity (LOH)&#x2009;<&#x2009;25&#xa0;Mb. All samples subjected to OGM testing were anonymized and analyzed blindly. The results from OGM were compared with those from routine genetic testing, and statistical analyses were performed to assess technical concordance and diagnostic rate. RESULTS: Of 217 samples (166 positive samples and 51 negative samples for routine genetic testing), all were successfully tested with OGM, including 2 umbilical cord blood samples, 4 chorionic villi samples, and 211 cultured amniotic fluid samples. Of the 207 reportable chromosomal aberrations from 166 positive samples, the blinded concordance between OGM and CMA, karyotyping, and combination of karyotyping plus CMA was 97.81%, 96.36%, and 97.10%, respectively. OGM missed six aberrations initially, including one LOH, two marker chromosomes, and three microdeletions. However, after reanalysis, its concordance improved to 100% with CMA and 99.03% with karyotyping plus CMA. OGM also diagnosed one additional case of a 3-kb deletion in 51 negative samples, improving the diagnostic rate by 1.96%. Moreover, OGM reclassified the pathogenicity of two microdeletions from pathogenic to uncertain significance in 2 positive cases. Furthermore, OGM clarified the diagnosis suspected by routine genetic testing and improved diagnostic accuracy in some cases. CONCLUSION: As far as we know, this is the largest retrospective study on OGM in prenatal diagnosis, and it includes a broad range of sample types. The results showed that OGM exhibits high concordance among the tested methods and increases the diagnostic rate. Thus, OGM has the potential to become a first-line technique for prenatal diagnosis in the future.

Humans

Angiography-Based Index of Microcirculatory Resistance in Assessing the MVO and Infarct Size in STEMI Patients.

OBJECTIVES: To evaluate angiography-based index of microcirculatory resistance (angio-IMR) in assessing microvascular obstruction (MVO) and infarct size (IS) in ST-segment elevation myocardial infarction (STEMI). BACKGROUND: The effect of thrombolysis on post-percutaneous coronary intervention (PCI) angio-IMR, and its associations with MVO and IS remains unclear. METHODS: One hundred twenty-three STEMI patients randomized to receive 5&#x2009;mg intravenous bolus of recombinant staphylokinase (r-SAK) or normal saline (NS) before PCI were recruited. Angio-IMR was computed in infarct-related arteries. MVO and IS were detected by cardiac magnetic resonance imaging. RESULTS: Compared with NS group, r-SAK group exhibited numerically lower post-PCI angio-IMR (39.12 U vs. 42.57 U; p&#x2009;=&#x2009;0.567), MVO (54.0% vs. 70.9%; p&#x2009;=&#x2009;0.059), MVO extent (0.70% vs. 1.90%; p&#x2009;=&#x2009;0.101) and IS (21.30% vs. 24.50%; p&#x2009;=&#x2009;0.079). Post-PCI angio-IMR was positively correlated with MVO extent (&#x3c1;&#x2009;=&#x2009;0.347; p&#x2009;<&#x2009;0.001) and IS (&#x3c1;&#x2009;=&#x2009;0.324; p&#x2009;<&#x2009;0.001). Receiver operating characteristic analyses showed moderate diagnostic performance of angio-IMR for MVO (area under the curve [AUC] = 0.750; p&#x2009;<&#x2009;0.001), MVO&#x2009;>&#x2009;2.6% (AUC&#x2009;=&#x2009;0.735; p&#x2009;<&#x2009;0.001) and IS&#x2009;>&#x2009;25% (AUC&#x2009;=&#x2009;0.712; p&#x2009;<&#x2009;0.001). The exploratory optimal cut-off values for these endpoints were approximately 40&#x2009;U. CONCLUSIONS: In STEMI patients, a single bolus of r-SAK before PCI was associated with numeric reductions in post-PCI angio-IMR, MVO, MVO extent and IS. Additionally, angio-IMR exhibited a significantly positive correlation with both MVO extent and IS, demonstrating the diagnostic value of this wire-free method for assessing microvascular injury.

Humans

Thrombus Metabolism-Based Molecular Subtyping for Prognostic Risk Stratification in Acute Ischemic Stroke: A Preliminary Study.

AIMS: To preliminarily characterize metabolic molecular subtypes of cerebral thromboemboli and evaluate their clinical significance in anterior circulation acute ischemic stroke due to large vessel occlusion (AIS-LVO). METHODS: Untargeted metabolomics was performed on thromboemboli retrieved from 36 patients with anterior circulation AIS-LVO using ultra-performance coupled liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Unsupervised hierarchical clustering was employed to identify distinct metabolic molecular subtypes, and their associations with stroke etiology, radiographic severity, and functional outcomes were analyzed. RESULTS: Two distinct thrombus metabolic molecular subtypes (C1 and C2) were identified based on 12 metabolites significantly associated with both short-term (7-day &#x2206;NIHSS) and long-term (90-day mRS) functional outcomes. The C1 subtype, predominantly cardioembolic, exhibited enhanced lipid metabolism, whereas the C2 subtype, primarily atherothrombotic, demonstrated increased folate metabolism. Patients with C1 thromboemboli presented more severe admission ischemic lesions (as indicated by ASPECTS) and experienced poorer short-term and long-term outcomes. A six-metabolite signature derived from LASSO regression was identified for exploratory discrimination of thrombus metabolic subtypes, etiological subtypes, and 90-day outcomes. CONCLUSION: This preliminary exploratory study identifies two metabolically distinct thrombus molecular subtypes with clinical implications in anterior circulation AIS-LVO, providing a novel basis for risk stratification and personalized secondary prevention and warrants further investigation.

Humans

Genomic insights into karyotype evolution and adaptive mechanisms in Polygonaceae species.

Polygonaceae, with ecological versatility and global distribution, is an ideal system for investigating plant adaptation. However, the genomic mechanisms underlying its karyotype evolution and environmental resilience remain unclear. We herein present chromosome-level genomes of 11 species from 10 Polygonaceae genera. Our analyses reveal that Gypsy retrotransposons are key drivers of genome size variations in Polygonaceae. We reconstructed a Polygonaceae ancestral karyotype comprising 28 proto-chromosomes and elucidated evolutionary trajectories via extensive chromosomal rearrangements. Furthermore, we constructed a cross-genus super pan-genome for Polygonaceae, identifying 80,055 gene families, of which 9,845 (12.30%) are core gene families. Private genes are found to contribute significantly to interspecific differences in adaptability. Notably, gene copy number variations are identified as a critical factor influencing adaptations to diverse niches involving species-specific increases in metabolic pathways. This study provides a genomic framework for Polygonaceae karyotype plasticity and adaptive innovation, offering insights into plant evolution under environmental challenges.

Karyotype

A comparative study highlights superiority of LSTM in crop genomic prediction.

We systematically evaluated three key determinants affecting prediction accuracy and the algorithm performance differences based on fifteen state-of-the-art GP methods, and found LSTM suitable for capturing additive and epistatic effects. Genomic prediction (GP) has been developed as an important method supporting crop breeding. By utilizing the phenotype values result from GP, breeders could make decisions in the seedling stage that consequently benefit for cost saving. In recent years, machine learning emerged as an efficient technology to solve modeling problems in many fields, including crop breeding. However, numerous modeling approaches have hindered the application of GP since breeders struggle to choose. Therefore, a comprehensively methodological research with guiding significance is extremely necessary. In the present study, we systematically evaluated three key determinants affecting prediction accuracy and the algorithm performance differences based on fifteen state-of-the-art GP methods. As for genomic feature processing, we found feature selection (SNP filtering approach) performed better than feature extraction (PCA method). Specifically, the feature relationship dependent methods (GBLUP, RNN, and LSTM) as well as DNN architecture showed superior performance with feature selection. Marker density analysis showed positive correlation with prediction accuracy in a limited threshold. Comparison on effect of population size demonstrated a positive correlation between trait genetic complexity and the optimal population size required. By testing fifteen modeling methods, we found LSTM network displayed superior performance, achieving the highest average STScore (0.967) across six datasets. Further research using all cell states or the latest cell states of LSTM inputs demonstrated its architecture particularly adept with capturing additive and epistatic QTL effects among SNPs. In conclusion, our findings provide basic principles for implementing GP in breeding project to maximize prediction accuracy while maintaining cost-effectiveness.

Plant Breeding

Gut metagenome and plasma metabolome profiles in older adults suggest pyruvate metabolism as a link between sleep quality and frailty.

Poor sleep quality is associated with increased frailty in older adults, but the role of the gut microbiome in this relationship remains unclear. Here, gut metagenome and plasma metabolome were profiled in 1,225 individuals aged 62-96 years. Poor sleep quality was associated with reduced abundances of potential probiotics such as Faecalibacterium prausnitzii and elevated abundances of pathobionts. A gut microbiome sleep quality index (GMSI) was developed to quantify microbial balance related to better sleep quality; higher GMSI scores were inversely associated with frailty and related clinical traits. Pyruvate metabolism emerged as a key microbial pathway linking sleep quality to frailty, with features such as F. prausnitzii abundance and microbial pyridoxal 5'-phosphate biosynthesis implicated in this connection. These findings deepen our understanding of microbiome-metabolome pathways related to sleep quality and frailty in aging and provide a valuable resource for future longitudinal and interventional studies.

Humans

Genomic and phenotypic insights into ST164 blaNDM-1-positive Acinetobacter baumannii from intestinal colonization in China.

BACKGROUND: Carbapenem-resistant Acinetobacter baumannii (CRAB) poses a critical global threat, especially in ICUs. Yet, reports on ST164 CRAB harboring blaNDM-1 remain scarce. This study investigates two clinical CRAB isolates, L4773hy and L4796hy, derived from intestinal colonization in Hangzhou, China, focusing on their phenotypic and genomic characteristics as well as the broader transmission of ST164 A. baumannii. METHODS: Bacterial identification was performed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) mass spectrometry. Antimicrobial susceptibility was assessed via agar and broth microdilution. Whole-genome sequencing employed Illumina NovaSeq 6000 and Oxford Nanopore platforms. Resistance genes, insertion elements, transposons, and integrons were detected using ResFinder, PlasmidFinder, VFDB, ISFinder, pdifFinder, and IntegronFinder. Strains were typed by MLST, and a phylogenetic tree was constructed with kSNP3.0. Genetic environment diagrams were generated using Easyfig 2.2.5. RESULTS: Two blaNDM-1-carrying A. baumannii isolates exhibiting extensive resistance to carbapenems, cephalosporins, and fluoroquinolones. Whole-genome sequencing and genetic environment analysis revealed the presence of a conserved structural sequence (ISAba14-ISAba14-aphA-ISAba125-blaNDM-1-bleMBL) on their chromosomes. Phylogenetic and clonal dissemination analysis showed that ST164 CRAB is primarily distributed in China and exhibits clonal spread. Pathogenicity studies indicated that blaNDM-1-positive ST164 strains have enhanced survival under immune pressure but do not display increased virulence in infection models. CONCLUSION: This study provides the genomic and phenotypic characterization of intestinally colonized ST164 blaNDM-1 positive CRAB in Hangzhou, China. The elucidation of the genetic environment of blaNDM-1 further confirms the clonal dissemination of ST164 isolates, highlighting the importance of enhanced surveillance and infection control measures to mitigate the spread of these multidrug-resistant pathogens.

Acinetobacter baumannii

Multi-Omics Analyses Reveal the Red and Far-Red Light Combination Enhancing Heterologous Protein and Metabolite Production in Nicotiana benthamiana.

Transient expression of exogenous protein in Nicotiana benthamiana leaves via agroinfiltration offers a rapid and efficient platform for functional gene discovery and heterologous production of valuable eukaryotic proteins and metabolites. Though light quality is an important factor for plant photomorphogenesis, its impact on the efficiency of transient expression remains unexplored. In this study, we examined the influence of five representative light qualities with varying wavelength mix on the N. benthamiana growth and recombinant green fluorescent protein (GFP) production. Plants with red and far-red light treatment (LED-red) showed the highest GFP expression, 57.4% higher than white light. Further study showed that a higher dosage of post-infiltration Agrobacterium and the resulting increase in the number of transcripts contribute to the expression rate enhancement. Moreover, as for exogenous metabolites, a 76.5% increase of accumulated taxadiene was also observed in LED-red group. Integrated transcriptomic, proteomic and metabolomic revealed that LED-red plants reduced the resistance pathways before infiltration, inducing a higher dosage of post-agroinfiltration Agrobacterium. Our results suggest that N. benthamiana grown under LED-red creates a more favorable environment for Agrobacterium growth, enhancing heterologous protein and metabolite production. This study highlights the potential utilization of light quality as an implementable tool in plant synthetic biology.

Nicotiana

Decoding heterogeneous single-cell perturbation responses.

Understanding how cells respond differently to perturbation is crucial in cell biology, but existing methods often fail to accurately quantify and interpret heterogeneous single-cell responses. Here we introduce the perturbation-response score (PS), a method to quantify diverse perturbation responses at a single-cell level. Applied to single-cell perturbation datasets such as Perturb-seq, PS outperforms existing methods in quantifying partial gene perturbations. PS further enables single-cell dosage analysis without needing to titrate perturbations, and identifies 'buffered' and 'sensitive' response patterns of essential genes, depending on whether their moderate perturbations lead to strong downstream effects. PS reveals differential cellular responses on perturbing key genes in contexts such as T cell stimulation, latent HIV-1 expression and pancreatic differentiation. Notably, we identified a previously unknown role for the coiled-coil domain containing 6 (CCDC6) in regulating liver and pancreatic cell fate decisions. PS provides a powerful method for dose-to-function analysis, offering deeper insights from single-cell perturbation data.

Single-Cell Analysis

Adult bi-paternal offspring generated through direct modification of imprinted genes in mammals.

Imprinting abnormalities pose a significant challenge in applications involving embryonic stem cells, induced pluripotent stem cells, and animal cloning, with no universal correction method owing to their complexity and stochastic nature. In this study, we targeted these defects at their source-embryos from same-sex parents-aiming to establish a stable, maintainable imprinting pattern de novo in mammalian cells. Using bi-paternal mouse embryos, which exhibit severe imprinting defects and are typically non-viable, we introduced frameshift mutations, gene deletions, and regulatory edits at 20 key imprinted loci, ultimately achieving the development of fully adult animals, albeit with a relatively low survival rate. The findings provide strong evidence that imprinting abnormalities are a primary barrier to unisexual reproduction in mammals. Moreover, this approach can significantly improve developmental outcomes for embryonic stem cells and cloned animals, opening promising avenues for advancements in regenerative medicine.

Animals