Advanced genetics (Hoboken, N.J.)最新文献

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Issue Information: (Advanced Genetics 2/07) 发行信息:(Advanced Genetics 2/07)
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-30 DOI: 10.1002/ggn2.70035
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引用次数: 0
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-30
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引用次数: 0
Biomaterial Physical Cues as Gene Regulators for Cellular Agriculture 生物材料物理线索作为细胞农业的基因调控因子
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-30 DOI: 10.1002/ggn2.202500052
Jianuo Liu, Ye Liu
{"title":"Biomaterial Physical Cues as Gene Regulators for Cellular Agriculture","authors":"Jianuo Liu,&nbsp;Ye Liu","doi":"10.1002/ggn2.202500052","DOIUrl":"10.1002/ggn2.202500052","url":null,"abstract":"<p>Cultured meat relies on biomaterial scaffolds that not only sustain cell proliferation but also regulate lineage commitment and tissue maturation. Increasing evidence shows that the biophysical properties of biomaterials—such as stiffness, incorporated force fields, wettability, surface charge, and geometry—profoundly influence gene expression through mechanotransduction and epigenetic remodeling pathways. This review outlines how these material-driven cues modulate myogenic and adipogenic programs relevant to meat engineering, and how their integration with synthetic biology enables programmable control of cell fate. Emerging strategies including 4D-adaptive scaffolds, high-throughput material–gene mapping, and AI-guided scaffold design are discussed as future directions. Collectively, these advances establish the concept of a “material genome”, providing a rational framework to engineer structured, nutritious, and scalable cultured meat.</p>","PeriodicalId":72071,"journal":{"name":"Advanced genetics (Hoboken, N.J.)","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://advanced.onlinelibrary.wiley.com/doi/epdf/10.1002/ggn2.202500052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147668883","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
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-16
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引用次数: 0
From Disease-Specific Models to Broad Clinical Utility: A Perspective on AI Hybrid Ensemble Frameworks 从疾病特异性模型到广泛的临床应用:人工智能混合集成框架的观点
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-16 DOI: 10.1002/ggn2.202500053
Haonan Zhang, Ge Zhang, Chaoyang Yu, Ruhao Wu, Shiqian Zhang, Xufeng Huang, Yingxue Yuan, Yaxin Chen, Shaotong Pei, Ge Zhang
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引用次数: 0
From Disease-Specific Models to Broad Clinical Utility: A Perspective on AI Hybrid Ensemble Frameworks 从疾病特异性模型到广泛的临床应用:人工智能混合集成框架的观点
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-16 DOI: 10.1002/ggn2.202500053
Haonan Zhang, Ge Zhang, Chaoyang Yu, Ruhao Wu, Shiqian Zhang, Xufeng Huang, Yingxue Yuan, Yaxin Chen, Shaotong Pei, Ge Zhang
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引用次数: 0
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-14
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引用次数: 0
PDMSA: A Web-Based Tool for Pan-Cancer Survival Analysis Using DNA Methylation Levels as Biomarkers PDMSA:使用DNA甲基化水平作为生物标志物进行泛癌症生存分析的基于网络的工具
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-14 DOI: 10.1002/ggn2.202500069
Weiwei Guo, Ying Shi, Shanshan Wu, Hong Yang, Anqi Lin, Peng Luo
{"title":"PDMSA: A Web-Based Tool for Pan-Cancer Survival Analysis Using DNA Methylation Levels as Biomarkers","authors":"Weiwei Guo,&nbsp;Ying Shi,&nbsp;Shanshan Wu,&nbsp;Hong Yang,&nbsp;Anqi Lin,&nbsp;Peng Luo","doi":"10.1002/ggn2.202500069","DOIUrl":"10.1002/ggn2.202500069","url":null,"abstract":"<p>DNA methylation levels are intimately associated with tumor development, progression, and therapeutic outcomes. Accurate analysis of the relationship between DNA methylation levels and tumor prognosis facilitates comprehensive investigation of tumor development mechanisms, enabling optimization of clinical decision-making and subsequent enhancement of cancer patient survival rates. However, current web-based tools for analyzing tumor methylation levels and survival prognosis exhibit significant limitations. We have developed a web-based tool called Pan-cancer DNA Methylation Survival Analysis (PDMSA) implemented in Shiny, which integrates DNA methylation data and clinical information from large public databases (TCGA and GEO). PDMSA currently encompasses tumor DNA methylation data from 30 TCGA datasets and 15 GEO datasets, consisting of 16 205 211 records that span 39 cancer types, 45 datasets, 19 909 genes, and 8369 samples. The tool executes prognostic Kaplan–Meier survival analysis and Cox regression analysis utilizing two distinct cutoff value grouping methods, offering customizable visualization options for the results. As a user-friendly analytical platform, PDMSA serves as a comprehensive tool for biomedical researchers to investigate the relationship between methylation levels at specific gene loci and tumor survival outcomes, thereby facilitating the advancement of precision medicine in oncology. Access PDMSA at robinl-lab.com/PDMSA.</p>","PeriodicalId":72071,"journal":{"name":"Advanced genetics (Hoboken, N.J.)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ggn2.202500069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147565848","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
Antioxidation is a Common Defense Strategy for Different Species Under Mechanical Stress 抗氧化是不同物种在机械应力作用下的共同防御策略
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-13 DOI: 10.1002/ggn2.202500043
Feixiang Zhu, Kai Huang
{"title":"Antioxidation is a Common Defense Strategy for Different Species Under Mechanical Stress","authors":"Feixiang Zhu,&nbsp;Kai Huang","doi":"10.1002/ggn2.202500043","DOIUrl":"10.1002/ggn2.202500043","url":null,"abstract":"<p>Mechanical stress, a ubiquitous physical stimulus, triggers oxidative stress through mechanotransduction in diverse organisms, driving the evolution of antioxidant defense systems. This perspective deciphers the molecular evolutionary principles governing these antioxidant strategies, uncovering both conserved and lineage-specific adaptations across biological kingdoms. We demonstrate that redox regulation—an ancient and evolutionarily conserved mechanism—serves as a core defense against mechanical stress-induced oxidative damage, albeit with kingdom-specific variations. Notably, mechanosensors such as Piezo channels are conserved in animals and plants, initiating antioxidant responses via Ca<sup>2</sup><sup>+</sup> signaling. While animals rely on the Nrf2 regulatory axis to upregulate antioxidant enzymes, plants deploy intricate networks involving SOD, CAT, and non-enzymatic antioxidants (e.g., ascorbic acid). In contrast, extremophilic microorganisms employ streamlined yet highly efficient strategies, including multifunctional molecules like DMSP, to mitigate oxidative stress. Our comparative analysis highlights the evolutionary significance of these adaptations, shaped by ecological pressures and physiological constraints. Beyond elucidating life's evolutionary trajectory, these insights hold translational potential—from enhancing crop stress tolerance to informing biomaterial innovations and therapeutic interventions for oxidative disorders.</p>","PeriodicalId":72071,"journal":{"name":"Advanced genetics (Hoboken, N.J.)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ggn2.202500043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147565790","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
Advanced genetics (Hoboken, N.J.) Pub Date : 2026-03-13
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":72071,"journal":{"name":"Advanced genetics (Hoboken, N.J.)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148107621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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