Shengchang Zhang , Huaijuan Zhou , Yao Zhou , Jinhua Li , Jiadong Zhou
{"title":"Tailoring bone microenvironment with 2D layered materials","authors":"Shengchang Zhang , Huaijuan Zhou , Yao Zhou , Jinhua Li , Jiadong Zhou","doi":"10.1016/j.fmre.2024.02.005","DOIUrl":"10.1016/j.fmre.2024.02.005","url":null,"abstract":"<div><div>The bone repair niche, including the physiological and pathological microenvironment, is a complex system that interferes with various cellular/noncellular activities. Thus, a rational perspective of designing tunable biomaterials with the modulation of the bone microenvironment is in high demand in pre/clinical practice for the management of refractory bone defects in combination with severe bone diseases. Two-dimensional (2D) layered materials are emerging biomaterials for bone microenvironment engineering because of their inherent biocompatibility, osteo-inductivity, osteo-conductivity, optical properties, enzyme mimetics, and mechanical properties. In this study, we focus on the latest advances in developing 2D layered materials in bone regeneration, bone cancer therapies, bone-related infections eradication, and articular cartilage repair. In addition, the specific action mechanisms and design regimens of 2D-layered material-based nanoplatforms are clarified. Finally, the current challenges are discussed, and the key inspirations for further broadening the pre/clinical applications of 2D layered materials in orthopedic disorder therapy are proposed.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 2209-2221"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140470413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Congyi Shen , Zuhao Li , Guangfeng Li , Guangchao Wang , Zhen Geng , Jiacan Su
{"title":"DNA-based hydrogels: Ideal biomaterials for cartilage organoids","authors":"Congyi Shen , Zuhao Li , Guangfeng Li , Guangchao Wang , Zhen Geng , Jiacan Su","doi":"10.1016/j.fmre.2024.04.001","DOIUrl":"10.1016/j.fmre.2024.04.001","url":null,"abstract":"<div><div>Osteoarthritis (OA) is a common degenerative disease with high disability rate, imposing significant economic burdens on individuals and society. Due to the limited self-repair ability of articular cartilage, the existing treatment methods still cannot effectively treat OA. Organoids are multicellular structures differentiated from stem cells or organ progenitors and can be used to model disease. Future applications can provide alternative organ replacement strategies. Therefore, constructing cartilage organoids is expected to overcome the shortcomings of the existing treatment methods to achieve effective treatment of OA. The construction of organoids requires three-dimensional network scaffolds resembling extracellular matrix (ECM) to support cell expansion. Hydrogel has a hydrophilic natural network structure. Hence it can mimic the ECM, providing mechanical support and a favorable microenvironment for cell growth. DNA hydrogel is mainly formed by DNA. It preserves DNA's programmability, biocompatibility and biodegradability, and has unique mechanical properties. Thus, it is an ideal material for constructing cartilage organoids. This review summarized the preparation methods and discussed the use of DNA hydrogels in the construction of cartilage organoids, aiming to provide a reference for the construction and design of cartilage organoids based on DNA hydrogels.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 2222-2240"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140766142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gene circuit-based sensors","authors":"Xinyue Guo, Min Li, Xiaolei Zuo","doi":"10.1016/j.fmre.2024.06.011","DOIUrl":"10.1016/j.fmre.2024.06.011","url":null,"abstract":"<div><div>As an important branch of biosensors, gene circuit-based biosensors constructed based on synthetic biology concepts can sense specific substances to be measured and converted into specific signal outputs. Such sensors have great potential in the fields of biomanufacturing process monitoring, environmental monitoring, food safety, medical diagnosis, and monitoring. With the development of synthetic biology technology and the abundance of genetic components, more and more cell-free microbial sensors with different response mechanisms, logic gates, and logic loops have been developed. This review integrates the basic concepts of synthetic biology to comprehensively describe the design and engineering of synthetic biology gene circuits, an overview of synthetic biology based on cell-free systems (CFS), and the development of biosensors based on CFS. Emphasis is placed on the design concepts, construction principles, and applications of cell-free-based biosensors in the field of bioassay. We also discuss the new frontiers in the field and the challenges to be addressed.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 1876-1888"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chaoqun Mu , Yali Hou , Zeyuan Zhang , Haifei Liu , Chenxing Guo , Mingming Zhang
{"title":"Tetraphenylethylene-based giant emissive hexagonal metallaprisms for biomolecule sensing","authors":"Chaoqun Mu , Yali Hou , Zeyuan Zhang , Haifei Liu , Chenxing Guo , Mingming Zhang","doi":"10.1016/j.fmre.2023.03.012","DOIUrl":"10.1016/j.fmre.2023.03.012","url":null,"abstract":"<div><div>The development of giant emissive metallacages is not only a synthetic challenge but also important for their applications. Herein, we report a type of tetraphenylethylene (TPE)-based emissive hexagonal metallaprism with diameters as large as 3.7 nm, which represents one of the largest TPE-based metallacages. They can interact with polymers and small molecules via electrostatic interactions in different modes. They form dense aggregations with DNA, which would inhibit the molecular motions and offer enhanced emission. However, photoinduced electron transfer from nucleotides to metallaprisms occurs after complexation, so they show decreased emission for ATP and ADP. This study provides a type of giant emissive metallaprism for selective biosensing, which will guide the future design of metallacages for bio-applications.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 2018-2024"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45356236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiabin Wang , Yanbo Lou , Huanrong He , Shengshuai Liu , Jietai Jing
{"title":"Experimental realization of orbital angular momentum multiplexed four-beam quadrature squeezing","authors":"Jiabin Wang , Yanbo Lou , Huanrong He , Shengshuai Liu , Jietai Jing","doi":"10.1016/j.fmre.2023.05.021","DOIUrl":"10.1016/j.fmre.2023.05.021","url":null,"abstract":"<div><div>We experimentally generate 9 sets of orbital angular momentum (OAM) multiplexed four-beam quadrature squeezing by utilizing four-wave mixing processes in a rubidium vapor. The degree of four-beam quadrature squeezing decreases with the increase of topological charge <span><math><mrow><mo>|</mo><mi>l</mi><mo>|</mo></mrow></math></span>. In addition, we investigate the four-beam quadrature squeezing with OAM superposition modes. Our results provide an efficient way to generate OAM multiplexed multi-beam quadrature squeezing and may find potential applications in multi-parameter estimation.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 1954-1957"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44132583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julien Milon Essola , Haiyin Yang , Wenjing Liu , Abid Hussain , Abid Naeem , Huining He , Stefan Barth , Zhuoran Wang , Kelong Fan , Mengjie Zhang , Mengliang Zhu , Xing-Jie Liang , Yuanyu Huang
{"title":"Tumor suppressor protein-inspired peptide for siRNA delivery and synergistic cancer therapy","authors":"Julien Milon Essola , Haiyin Yang , Wenjing Liu , Abid Hussain , Abid Naeem , Huining He , Stefan Barth , Zhuoran Wang , Kelong Fan , Mengjie Zhang , Mengliang Zhu , Xing-Jie Liang , Yuanyu Huang","doi":"10.1016/j.fmre.2025.03.006","DOIUrl":"10.1016/j.fmre.2025.03.006","url":null,"abstract":"<div><div>Small interfering RNA (siRNA) has shown promising therapeutic prospects in many major diseases. However, two main reasons limit the application of siRNA: poor endocytosis efficiency and weak endosomal escape ability. Therefore, the development of efficient and safe delivery vectors has always been an important study aspect of RNAi technology. Herein, we designed a self-assembled nanoparticle based on functionalized peptides to deliver siRNA to the down-regulated polo-like kinase 1 (PLK1) gene, which can inhibit tumor cells in the G2 phase. The functional polypeptide consists of cell membrane-penetrating peptide (CPP44) and p16 minimal inhibitory sequence (p16MIS). CPP44 can effectively mediate endocytosis, while p16MIS can inhibit tumor growth in the G1 phase and synergistically promote the apoptosis of tumor cells with siPLK1. <em>In vitro</em> and <em>in vivo</em> studies demonstrate that the developed nanoparticle exhibits high levels of silencing efficiency, antitumor activity, and therapeutic efficacy. Consequently, this study provides a novel approach to cancer treatment by simultaneously disrupting two stages of tumor cell division.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 1920-1929"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yawen Zheng , Hiroyuki Inuzuka , Wenyi Wei , Yi Sun
{"title":"Protein neddylation in lung tumorigenesis: Target validation and targeted therapy","authors":"Yawen Zheng , Hiroyuki Inuzuka , Wenyi Wei , Yi Sun","doi":"10.1016/j.fmre.2023.10.005","DOIUrl":"10.1016/j.fmre.2023.10.005","url":null,"abstract":"<div><div>Much akin to ubiquitylation, neddylation is catalyzed by a cascade of three enzymes: E1 NEDD8-activating enzyme, E2 NEDD8-conjugating enzyme (UBE2M or UBE2F), and E3 NEDD8 ligases. The best-known neddylation substrates are the members of cullin family, leading to the activation of Cullin-RING ligases, which regulate a variety of downstream biological processes largely via promoting ubiquitylation and subsequent proteasomal degradation of many key signaling proteins. Notably, neddylation enzymes and components of the Cullin-RING ligases are frequently altered in many human cancers and have been validated as promising cancer targets. As such, drug discovery efforts are underway to target neddylation-Cullin-RING ligases with a few selective small molecule inhibitors being advanced into various phases of clinical trials. This review firstly provides a brief introduction to neddylation, then focuses on lung cancer, and summarizes a wealth of current data showing how neddylation-Cullin-RING ligases are altered and affect the growth and survival of lung cancer cells, lung tumorigenesis, lung tumor microenvironment, and inflammatory response. A few reported small molecule inhibitors of neddylation enzymes as well as their activity against lung cancer cells are also summarized, and future perspectives with an ultimate goal of discovering effective treatment of lung cancer via targeting neddylation-Cullin-RING ligases are proposed.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 2052-2061"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135411331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mei Lu , Zhixing Luo , Yujie Cang , Nan Zhang , Liu Yang
{"title":"Methods for calculating building-embodied carbon emissions for the whole design process","authors":"Mei Lu , Zhixing Luo , Yujie Cang , Nan Zhang , Liu Yang","doi":"10.1016/j.fmre.2022.07.015","DOIUrl":"10.1016/j.fmre.2022.07.015","url":null,"abstract":"<div><div>Energy conservation and emissions reduction in the construction industry are important steps in achieving China's goals of peak carbon emissions by 2030 and carbon neutrality by 2060. The premise for building carbon emission (CE) reduction is to produce accurate CE calculations. Existing calculation methods for building CEs have many problems, such as complicated calculations, large data demands, time-consuming and laborious processes, weak design orientation of results, and poor feedback on emission reduction. At the same time, the calculation of CEs during the process of architectural design faces obstacles such as uncertainty of information, incomplete data, and difficulty in obtaining a bill of quantities based on design information. To resolve these obstacles, this study, based on a designer's vocabulary and thinking mode, describes the construction of a “design-oriented” calculation methods for building-embodied carbon emissions (ECEs). The prediction and assessment of the impact on the building environment during the architectural design process were helpful for identifying the key areas for carbon reduction, exploring potential emission reduction hotspots, and providing timely feedback for design optimization, which can have important theoretical value and practical significance in promoting the construction of low-carbon buildings.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 2187-2198"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140468048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xufan Li , Zhenhua Wu , Gerhard Rzepa , Markus Karner , Haoqing Xu , Zhicheng Wu , Wei Wang , Guanhua Yang , Qing Luo , Lingfei Wang , Ling Li
{"title":"Overview of emerging semiconductor device model methodologies: From device physics to machine learning engines","authors":"Xufan Li , Zhenhua Wu , Gerhard Rzepa , Markus Karner , Haoqing Xu , Zhicheng Wu , Wei Wang , Guanhua Yang , Qing Luo , Lingfei Wang , Ling Li","doi":"10.1016/j.fmre.2024.01.010","DOIUrl":"10.1016/j.fmre.2024.01.010","url":null,"abstract":"<div><div>Advancements in the semiconductor industry introduce novel channel materials, device structures, and integration methods, leading to intricate physics challenges when characterizing devices at circuit level. Nevertheless, accurate models for emerging devices are crucial for physics-driven TCAD-to-SPICE flows to enable the increasingly vital design technology co-optimization (DTCO). Particularly for ultra-scaled devices where quantum effects become significant, this led to the introduction of empirical model parameters and a disconnection to manufacturing processes. To catch up with these developments, an alternative to the traditional <em>white-box</em> modeling methods has attracted much attention: machine learning-assisted compact modeling (MLCM). These <em>black-box</em> methods target towards general-purpose modeling of complex mathematics and physics through training of neural networks on experimental and simulated data, generating an accurate closed-form mapping between output characteristics and input parameters for fabrication process and device operation. To address this new trend, this work provides a comprehensive overview of emerging device model methodologies, spanning from device physics to machine learning engines. By analyzing, structuring, and extending distributed efforts on this topic, it is shown how MLCM can overcome limitations of traditional compact modeling and contribute to effective DTCO to further advance semiconductor technologies.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 2149-2160"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139881063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Soil phosphorus regulates summer CO2 flux response to air temperature in nitrogen-poor northern permafrost ecosystems","authors":"Muhammed Mustapha Ibrahim, Enqing Hou","doi":"10.1016/j.fmre.2025.04.005","DOIUrl":"10.1016/j.fmre.2025.04.005","url":null,"abstract":"","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"5 5","pages":"Pages 2049-2051"},"PeriodicalIF":6.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}