Advanced biotechnology最新文献_第4页

Engineering a robust IsPETase for energy-efficient PET depolymerization in natural seawater at ambient temperatures. 设计一种强大的IsPETase，用于在自然海水中在室温下节能的PET解聚。

Advanced biotechnology Pub Date : 2026-04-15 DOI: 10.1007/s44307-026-00104-z

Xin Huang, Qian Jia, Guang Li, Xiangpeng Yang, Shujing Xu, Jianzhong Liu, Wenjun Li, Yuhuan Liu, Wei Xie, Lichuang Cao

{"title":"Engineering a robust IsPETase for energy-efficient PET depolymerization in natural seawater at ambient temperatures.","authors":"Xin Huang, Qian Jia, Guang Li, Xiangpeng Yang, Shujing Xu, Jianzhong Liu, Wenjun Li, Yuhuan Liu, Wei Xie, Lichuang Cao","doi":"10.1007/s44307-026-00104-z","DOIUrl":"10.1007/s44307-026-00104-z","url":null,"abstract":"Enzymatic depolymerization of polyethylene terephthalate (PET), the world's most widely used polyester, in seawater at ambient temperature offers a promising and energy-efficient route for freshwater-free plastic recycling. While a number of PET hydrolases have been reported in recent years, their potential under saline conditions remains largely unexplored. Here, we screened eight enzymes in artificial seawater at 30 °C and engineered the most active one, IsPETase, using a semi-rational strategy focused on rigidifying flexible sites. The resulting variant M8 showed simultaneous enhancementsin thermostability (ΔTm = + 27.3 °C), activity (1.14-fold increase) and soluble expression yield (14.3-fold increase). The overall depolymerization efficiency of M8 surpassed that of the thermostable benchmark enzymes DuraPETase and LCC-ICCG by 32.2- and 10.4-fold, respectively. Notably, M8 achieved continuous and efficient depolymerization of 15% (w/v) PET powder in natural seawater at 37 °C, yielding monomers at a rate of 15.4 mM/day, a concentration sufficient to support downstream bacterial assimilation. This work provides an efficient enzymatic platform and paves the way for fully integrated, seawater-based plastic bioconversion processes.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13083688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147694562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EVmiRED: a curated database of miRNA editing landscape in extracellular vesicles. evmire：细胞外囊泡中miRNA编辑景观的策划数据库。

Advanced biotechnology Pub Date : 2026-04-09 DOI: 10.1007/s44307-026-00107-w

KaHei Kou, Lanqi Wen, Luo Yang, Zhoufeng Gao, Bei Jin, Jingxuan Pan, Rui Zhang

{"title":"EVmiRED: a curated database of miRNA editing landscape in extracellular vesicles.","authors":"KaHei Kou, Lanqi Wen, Luo Yang, Zhoufeng Gao, Bei Jin, Jingxuan Pan, Rui Zhang","doi":"10.1007/s44307-026-00107-w","DOIUrl":"10.1007/s44307-026-00107-w","url":null,"abstract":"Metastasis accounts for the vast majority of tumor-related mortality. Certain populations of tumor cells exhibit organotropism by preferentially colonizing specific distant organs. The organ specificity of metastatic cells is determined by unique interactions between tumor cells and the microenvironment in target organs. Tumor extracellular vesicles (EVs), particularly exosomes, delivering tumor cell components including nucleic acid complexes, proteins, and lipids, play a crucial role in mediating intercellular communication between tumor cells and their microenvironment. ADAR-mediated microRNA (miRNA) editing has emerged as a crucial mechanism influencing miRNA stability, processing, and target specificity. Although EVs are increasingly recognized as important vehicles of intercellular signaling and promising biomarkers for cancer, the landscape of miRNA editing within EVs remains largely unexplored. Here, we present EVmiRED (Extracellular Vesicle miRNA Editing Database), a resource that integrates miRNA expression and editing profiles from tumor-derived EVs. The current release includes data from 683 samples across 12 tumor types and cell lines. EVmiRED provides detailed information on miRNA abundance, editing frequency, and the predicted functional impact of specific editing events. EVmiRED enables users to query individual miRNAs, visualize expression and editing patterns, and access raw datasets for customized analyses. Together, EVmiRED offers a valuable platform to advance our understanding of RNA editing-mediated regulation in intercellular communication, tumor progression, and cancer immunology.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13065891/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning-driving optimization and spatial assembly of a cell-free system for high-yield liquiritigenin production. 高效产液酶原的无细胞系统的机器学习驱动优化和空间装配。

Advanced biotechnology Pub Date : 2026-03-27 DOI: 10.1007/s44307-026-00103-0

Fei Liu, Si-Bo Zhao, Yan-Hua Liu, Jun-Feng Li, Nuo-Qiao Lin, Meihereayi Mutailifu, Pei Xu, Jian-Zhong Liu

{"title":"Machine learning-driving optimization and spatial assembly of a cell-free system for high-yield liquiritigenin production.","authors":"Fei Liu, Si-Bo Zhao, Yan-Hua Liu, Jun-Feng Li, Nuo-Qiao Lin, Meihereayi Mutailifu, Pei Xu, Jian-Zhong Liu","doi":"10.1007/s44307-026-00103-0","DOIUrl":"10.1007/s44307-026-00103-0","url":null,"abstract":"Liquiritigenin is a medicinal flavonoid whose production is constrained by inefficient plant extraction and complex chemical synthesis. To overcome this, we developed a modular cell-free multi-enzyme system for its efficient biosynthesis from tyrosine, integrating spatial enzyme assembly with machine learning-guided optimization. Using a combined cell-free metabolic engineering (CFME) and cell-free protein synthesis-driven metabolic engineering (CFPS-ME) approach, we screened and optimized five key pathway enzymes to establish a one-pot reaction. The optimal enzyme combination (phenylalanine ammonia-lyase from Zea mays, 4-coumarate-coenzyme A ligase 4 from Arabidopsis thaliana, chalcone synthase from Glycine max, chalcone reductase from Medicago sativa, chalcone flavonone isomerase from Zea mays) was identified through systematic screening and ratio optimization. After Plackett-Burman and steepest-ascent experiments, three rounds of iterative machine learning fine-tuned key parameters, including enzyme ratios and cofactor concentrations, yielding 155.32 ± 14.39 mg/L. Spatial enzyme assembly was further enhanced via covalent peptide tags and scaffold proteins (γPFD-SpyCatcher) under CFME. Combining CFPS-ME with scaffold-assisted co-immobilization significantly boosted production, reaching a final titer of 439.42 ± 19.53 mg/L. This study demonstrates that machine learning-driven optimization and spatial assembly of multienzyme complexes is a powerful approach for cell-free biosynthesis.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13031608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structural pharmacology of Chinese medicine: technological breakthroughs in decoding multi-target synergy and precision mechanisms. 中药结构药理学：解码多靶点协同与精准机制的技术突破。

Advanced biotechnology Pub Date : 2026-03-13 DOI: 10.1007/s44307-026-00095-x

Caiyan Wang, Yanling Li, Lin Zhuo, Songzhu Xu, Mengyao Wang, Zhongqiu Liu

{"title":"Structural pharmacology of Chinese medicine: technological breakthroughs in decoding multi-target synergy and precision mechanisms.","authors":"Caiyan Wang, Yanling Li, Lin Zhuo, Songzhu Xu, Mengyao Wang, Zhongqiu Liu","doi":"10.1007/s44307-026-00095-x","DOIUrl":"10.1007/s44307-026-00095-x","url":null,"abstract":"Traditional Chinese Medicine (TCM) offers valuable therapeutic strategies for chronic and infectious diseases, yet the inherent complexity of its multi-component, multi-target formulations and synergistic effects presents substantial challenges to pharmacological mechanistic understanding. Structural pharmacology of Chinese Medicine has emerged as a transformative discipline, integrating structural biology, computational chemistry, and pharmacology to elucidate the precise mechanisms underlying TCM efficacy. This review synthesizes technological advancements that enable the characterization of synergistic mechanisms and dynamic molecular interactions in TCM. Key advancements include high-resolution structural techniques such as X-ray crystallography, cryo-electron microscopy, sophisticated computational approaches such as AI-driven predictive modeling, and advanced analytical platforms. We critically examine persistent technical hurdles, such as capturing transient binding events and modeling complex multi-component system dynamics. Finally, we outline future research trajectories to establish a predictive and adaptable scientific foundation for TCM modernization, facilitating its evidence-based global integration and application in precision medicine.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12988076/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147461350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acriflavine-empowered IR780-PTX albumin nanoparticles for reinforced synergistic photochemotherapy. 增强吖啶黄素的IR780-PTX白蛋白纳米颗粒增强协同光化学疗法。

Advanced biotechnology Pub Date : 2026-03-11 DOI: 10.1007/s44307-026-00097-9

Dazhao Li, Tong Wang, Hongchao Liu, Yao Yao, Taiyuan Lu, Rong Wang, Xinyi Jiang, Xiaoyang Zhang, Minjie Sun, Ya Peng, Yilin Yang, Naiyuan Shao, Dawei Ding, Feng Zhi

{"title":"Acriflavine-empowered IR780-PTX albumin nanoparticles for reinforced synergistic photochemotherapy.","authors":"Dazhao Li, Tong Wang, Hongchao Liu, Yao Yao, Taiyuan Lu, Rong Wang, Xinyi Jiang, Xiaoyang Zhang, Minjie Sun, Ya Peng, Yilin Yang, Naiyuan Shao, Dawei Ding, Feng Zhi","doi":"10.1007/s44307-026-00097-9","DOIUrl":"10.1007/s44307-026-00097-9","url":null,"abstract":"Traditional chemotherapy and radiotherapy for glioma are challenging due to the hypoxia in tumor microenvironment and the inability of chemotherapeutic agents to enter into tumor cells. Phototherapy is a novel therapeutic approach against various tumors in recent years. When combined with chemotherapy, the antitumor efficacy of phototherapy is superior than each alone. However, the combination of chemotherapy and phototherapy is still hampered by the hypoxic tumor microenvironment which upregulates the expression of hypoxia-inducible factor 1 (HIF-1) and its downstream pathways, as well as the thermoresistance caused by the overexpression of heat shock proteins (HSPs). To solve this, the biocompatible albumin-based nanoparticles (NPs) are developed to co-deliver IR780 iodine (IR780) and paclitaxel (PTX) simultaneously at an optimized ratio (IR780-PTX NPs) for synergistic photochemotherapy. Moreover, acriflavine (ACF), a chemical inhibitor of HIF-1, is formulated into intratumorally formed hydrogels to reinforce synergistic photochemotherapy. The continuously released ACF from hydrogel not only relieves the impact of photodynamic therapy-exacerbated tumor hypoxia by suppressing HIF-1 activity, but also efficiently attenuates HSP70 upregulation. The collaboration between IR780-PTX NPs and ACF hydrogels leads to an extraordinary antitumor effect in vitro and in vivo. The reinforced synergistic photochemotherapy via a single molecule by overcoming HIF-1 activity and HSP overexpression provides an effective therapeutic example to treat tumors, especially in those undergone severe hypoxia and/or therapy-induced thermoresistance.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12979732/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147438964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nanopore direct RNA sequencing for RNA modification analysis: workflow assessment and computational tool benchmarking. 用于RNA修饰分析的纳米孔直接RNA测序：工作流程评估和计算工具基准。

Advanced biotechnology Pub Date : 2026-03-10 DOI: 10.1007/s44307-025-00093-5

Zhixing Wu, Jiayi Li, Rong Xia, Jiayin Dai, Jionglong Su, Jia Meng, Yuxin Zhang

{"title":"Nanopore direct RNA sequencing for RNA modification analysis: workflow assessment and computational tool benchmarking.","authors":"Zhixing Wu, Jiayi Li, Rong Xia, Jiayin Dai, Jionglong Su, Jia Meng, Yuxin Zhang","doi":"10.1007/s44307-025-00093-5","DOIUrl":"10.1007/s44307-025-00093-5","url":null,"abstract":"Recent advancements in sequencing technologies have transformed the characterization of genomic and transcriptomic complexity. In this review, we present a comprehensive overview of Oxford Nanopore Technologies (ONT), emphasizing its unique capability for real-time, long-read, and direct RNA sequencing. We begin by outlining the core ONT analytical workflow-base calling, alignment, re-squiggling, and quality control-and summarize the major computational tools applied at each stage. Then extensive illustrations of various RNA modification detection techniques are provided, spanning from statistical models, machine learning and deep learning frameworks to advanced strategies incorporating large language models. To assess methodological performance, additional benchmark analyses of m6A and pseudouridine (Ψ) are carried out across two publicly available datasets. These results demonstrate substantial variability across different tools, underscoring the inherent difficulties in reliably detecting modifications from ONT signals. We further examine the biological roles of key RNA modifications and contrast ONT-based approaches with conventional detection technologies. Finally, we discuss persistent limitations such as sequencing error rates, data and computational demands, and the complexity of multi-modification inference, and further propose future directions aimed at improving accuracy, robustness, and biological interpretability in ONT-based epitranscriptomic research.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12976157/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147438994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unlocking the black box: multimodal imaging and quantitative analysis of plant vesicular trafficking. 打开黑盒子：植物囊泡贩运的多模态成像和定量分析。

Advanced biotechnology Pub Date : 2026-03-10 DOI: 10.1007/s44307-026-00101-2

Yanyan Zhang, Changwen Xu, Xinxiu Zuo, Hongping Qian, Xi Zhang, Jinxing Lin, Yaning Cui

{"title":"Unlocking the black box: multimodal imaging and quantitative analysis of plant vesicular trafficking.","authors":"Yanyan Zhang, Changwen Xu, Xinxiu Zuo, Hongping Qian, Xi Zhang, Jinxing Lin, Yaning Cui","doi":"10.1007/s44307-026-00101-2","DOIUrl":"10.1007/s44307-026-00101-2","url":null,"abstract":"How do plants, lacking a central nervous system, translate environmental stimuli into physiological actions within milliseconds? Vesicular trafficking acts as a cellular core signal and material transport hub that facilitates this rapid adaptation, yet its dynamic nature has long remained a \"black box\". Traditional imaging approaches have struggled not only with optical resolution (the \"unseen\"), but critically with a lack of quantitative precision (the \"immeasurable\") and the inability to track molecular history (the \"unknown age\"). This review synthesizes a new paradigm that unlocks this black box by integrating advanced chemical biology with deep learning computational analysis. We detail how multimodal strategies combining pH-sensitive probes (e.g., pHluorin), covalent tags (HaloTag), and fluorescent timers visualize molecular events with unprecedented fidelity. Furthermore, we explore how integrating next generation FRAP/FCS variants (DeepFRAP, FCSNet) with deep learning allows for the rigorous mathematical modeling of vesicle kinetics. By resolving long-standing controversies such as endocytic stoichiometry and secretory sorting logic, this quantitative framework maps nanoscale membrane dynamics to organismal phenotypes, ultimately refining our understanding of plant stress resilience and signal transduction.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12972500/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147392061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The expanding role of m⁶A RNA modification in plant-virus dynamics: friend, foe, or both? m6A RNA修饰在植物病毒动力学中的扩展作用：是友，是敌，还是两者都有？

Advanced biotechnology Pub Date : 2026-03-06 DOI: 10.1007/s44307-026-00100-3

Jia-Hui Liu, Hao Yu, Cheng-Guo Duan

{"title":"The expanding role of m6A RNA modification in plant-virus dynamics: friend, foe, or both?","authors":"Jia-Hui Liu, Hao Yu, Cheng-Guo Duan","doi":"10.1007/s44307-026-00100-3","DOIUrl":"10.1007/s44307-026-00100-3","url":null,"abstract":"N6-methyladenosine (m6A), the most prevalent internal mRNA modification, regulates plant development and stress responses through modulating various mRNA metabolic processes and epigenetic effects. Although well studied in animals, its roles in plant-virus interactions have only recently begun to be elucidated. Multiple plant viruses carry m6A modifications on their RNAs, validated by MeRIP-seq, LC-MS/MS, and direct RNA sequencing. Viral RNAs acquire m6A through the recruitment or relocalization of host methyltransferase complexes, which is often mediated by viral proteins. Functionally, m6A can restrict infection by promoting viral RNA decay via YTH-domain readers and RNA surveillance pathways, or alternatively stabilize viral RNAs to enhance replication and systemic spread. In turn, viruses disrupt the functionality of host m6A machinery to promote infection. Moreover, viral infection reprograms host m6A homeostasis, altering methylation landscapes in immune and hormone pathways. These findings establish m6A as a dynamic epitranscriptomic switch in plant-virus interactions, with promising implications for antiviral strategies and crop improvement.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12965944/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147367871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of plasma EV-associated TRAIL by nanoscale flow cytometry for liver metastasis prediction in PDAC. 纳米级流式细胞术检测血浆ev相关TRAIL用于预测PDAC患者肝转移。

Advanced biotechnology Pub Date : 2026-03-04 DOI: 10.1007/s44307-026-00102-1

Chun-Xiang Huang, Jia-Hong Jian, Jun-Sheng Hao, Zi-Wen Zhou, Zhuo-Qun Li, Dong-Ming Kuang, Cai-Yuan Wu

{"title":"Detection of plasma EV-associated TRAIL by nanoscale flow cytometry for liver metastasis prediction in PDAC.","authors":"Chun-Xiang Huang, Jia-Hong Jian, Jun-Sheng Hao, Zi-Wen Zhou, Zhuo-Qun Li, Dong-Ming Kuang, Cai-Yuan Wu","doi":"10.1007/s44307-026-00102-1","DOIUrl":"10.1007/s44307-026-00102-1","url":null,"abstract":"Extracellular vesicles (EVs) mediate tumor-host communication and represent a promising liquid biopsy source for metastasis risk assessment, yet quantitative detection of low-abundance, epitope-defined EV subpopulations in plasma remains technically challenging. Here, we establish a nanoscale flow cytometry workflow on the CytoFLEX platform for sensitive single-EV phenotyping by optimizing violet side scatter (VSSC) triggering, defining an acquisition window that minimizes coincidence or \"swarm\" effects, and applying fluorescence-based analysis with stringent background controls. Using this framework, we quantified EV-associated tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) at the single particle level, with good inter-assay reproducibility (CV ~ 11-13%), and resolved low-abundance TRAIL⁺ EVs at approximately 1% abundance within total EV events. Due to the low abundance of EV-associated TRAIL in pancreatic ductal adenocarcinoma (PDAC) plasma, ELISA lacked sufficient analytical sensitivity to accurately reflect EV-associated TRAIL levels, whereas flow-based enumeration preserved quantitative resolution. Clinically, plasma EV-associated TRAIL was significantly elevated in PDAC patients with liver metastasis and demonstrated predictive utility for postoperative liver metastatic recurrence (AUC = 0.766). These results support nanoscale flow cytometry as a robust platform for plasma EV biomarker profiling and identify EV-associated TRAIL as an informative indicator of liver metastatic risk in PDAC.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12961005/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147358326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiplex gene editing drives revolution in crop breeding: overlaid editing of multiple genes and customization of complex traits. 多重基因编辑推动作物育种革命：多重基因叠加编辑和复杂性状定制。

Advanced biotechnology Pub Date : 2026-02-19 DOI: 10.1007/s44307-026-00099-7

Jieni Lin, Hanipa Hazaisi, Yuefeng Guan, Mengyan Bai

{"title":"Multiplex gene editing drives revolution in crop breeding: overlaid editing of multiple genes and customization of complex traits.","authors":"Jieni Lin, Hanipa Hazaisi, Yuefeng Guan, Mengyan Bai","doi":"10.1007/s44307-026-00099-7","DOIUrl":"10.1007/s44307-026-00099-7","url":null,"abstract":"Modern agriculture currently demands higher standards for the simultaneous improvement of crop yield, quality and stress resistance. However, traditional crop breeding methods can no longer meet the needs of modern agricultural development. Improving a single trait is no longer sufficient to meet the multifaceted demands of modern agricultural production and consumer expectations. Multiple traits breeding has increasingly become a key objective in current crop breeding. Over the past decade, CRISPR/Cas9-based multiplex genome editing (MGE) has enabled efficient pyramiding and precise regulation of multiple traits via targeted editing of multiple gene loci, revolutionizing crop breeding. In this review, we briefly describe the core CRISPR/Cas-based MGE strategies and technical workflows, and thoroughly discuss the practical outcomes of MGE applications in various fields, such as enhancing crop stress resistance, increasing yield and improving quality. This review aims to provide a summary and theoretical reference for crop breeding, as well as open up new ideas for achieving different breeding goals.","PeriodicalId":519913,"journal":{"name":"Advanced biotechnology","volume":"4 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12920966/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146230415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0