Trends in biotechnology最新文献_第3页

In vitro platforms for reconstructing skin-microbiome interactions. 重建皮肤微生物组相互作用的体外平台。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-03-25 DOI: 10.1016/j.tibtech.2026.02.006

Jimin Park, Jeongmin Kim, Sungchan Cho, Woojung Shin

引用次数: 0

Biotechnology as a platform for hair cosmetic science. 生物技术作为头发美容科学的平台。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 DOI: 10.1016/j.tibtech.2026.09.011

Ana Tinoco, José Pedro Carvalho, Filipa Gonçalves, André da Costa, Madalena Martins, Artur Cavaco-Paulo

引用次数: 0

Toward unbiased objective functions in constraint-based modeling. 约束建模中的无偏目标函数。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-03-11 DOI: 10.1016/j.tibtech.2026.01.004

Weihang Dong, Jens Nielsen, Haiyan Li, Feiran Li, Yu Chen

引用次数: 0

Green volumetric bioprinting: building photosynthetically active structures with light-scattering microalgae. 绿色体积生物打印：用光散射微藻构建光合活性结构。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-04-17 DOI: 10.1016/j.tibtech.2026.03.025

Johannes Windisch, Csaba Gergely, Maximilian Pfeiffle, Lisa Galaba, Finn Dani, Michael Gelinsky, Anja Lode, Tomasz Jungst

{"title":"Green volumetric bioprinting: building photosynthetically active structures with light-scattering microalgae.","authors":"Johannes Windisch, Csaba Gergely, Maximilian Pfeiffle, Lisa Galaba, Finn Dani, Michael Gelinsky, Anja Lode, Tomasz Jungst","doi":"10.1016/j.tibtech.2026.03.025","DOIUrl":"10.1016/j.tibtech.2026.03.025","url":null,"abstract":"Microalgae are robust microorganisms with versatile metabolic functions, including oxygen generation, making them crucial components in wastewater treatment plants, food production, or extraterrestrial life-support systems. Immobilizing microalgae in hydrogels could eliminate costly separation steps required in free-floating cultivation. Volumetric bioprinting (VBP), enabling rapid fabrication of large, complex constructs from cell-laden hydrogels, presents a promising solution. This study investigates the possibilities and limitations of VBP with microalgae in poly(ethylene glycol) diacrylate-cellulose nanofibrils (PEGDA-CNF) hydrogels. Despite chlorophyll-induced interference, the printing of stable 3D structures is achievable in high-resolution up to certain cell densities. During cultivation, printed microalgae exhibited exceptionally high viability and cell density compared to alternative bioprinting methods, and their photosynthetic efficiency remained high even in the nonphysiological PEGDA-CNF environment, as confirmed by pulse-amplitude modulated fluorometry and oxygen measurements. This work demonstrates the feasibility of integrating microalgae into VBP, enabling scalable production of photosynthetically active geometries and significantly simplifying their implementation in cascade-based processes.","PeriodicalId":23324,"journal":{"name":"Trends in biotechnology","volume":" ","pages":"3034-3053"},"PeriodicalIF":16.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147718397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning-guided discovery and engineering of binding peptides for accelerated enzymatic degradation of polyethylene terephthalate. 深度学习引导下发现和工程结合肽加速酶降解聚对苯二甲酸乙二醇酯。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-04-16 DOI: 10.1016/j.tibtech.2026.03.012

Yidi Liu, Jianqiang Hu, Ke Tong, Xiaoyan Chen, Zhisheng Wei, Yihang Shen, Yueheng Niu, Jun Wan, Zhiyu Shen, Hanzhi Weng, Zihao Zhang, Yiming Zhao, Zhanzhi Liu, Jing Wu

{"title":"Deep learning-guided discovery and engineering of binding peptides for accelerated enzymatic degradation of polyethylene terephthalate.","authors":"Yidi Liu, Jianqiang Hu, Ke Tong, Xiaoyan Chen, Zhisheng Wei, Yihang Shen, Yueheng Niu, Jun Wan, Zhiyu Shen, Hanzhi Weng, Zihao Zhang, Yiming Zhao, Zhanzhi Liu, Jing Wu","doi":"10.1016/j.tibtech.2026.03.012","DOIUrl":"10.1016/j.tibtech.2026.03.012","url":null,"abstract":"Enzymatic polyethylene terephthalate (PET) degradation holds promise for environmental restoration. However, limited substrate catalytic capacity hinders its application in addressing PET plastic contamination. To enhance enzyme-substrate interaction, effective anchoring strategies are essential. This study presents a novel deep learning approach to identify and engineer high-performance PET-binding peptides from genomic data. Utilizing this approach, we discovered promising PET-binding peptides from the Ideonella sakaiensis genome and fused them with an optimized Ideonella sakaiensis PETase mutant to enhance PET hydrolysis. Remarkably, the Efficient Attention-Based Model for Computational Protein Design-optimized fusion proteins achieved a 2.0- to 24.8-fold increase in PET hydrolysis compared with the enzyme without an anchor. Importantly, we elucidated the mechanism by which the binding peptide domain enhances the catalytic activity of the enzyme against PET substrates, supported by comprehensive molecular dynamics simulations. This work establishes a robust deep learning framework for biocatalyst design and provides potent enzymatic solutions to address global PET plastic pollution.","PeriodicalId":23324,"journal":{"name":"Trends in biotechnology","volume":" ","pages":"2957-2982"},"PeriodicalIF":16.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147718321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synonymous sequence design controls the folding, processing, and activity of the therapeutic protein ADAMTS13. 同义序列设计控制治疗蛋白ADAMTS13的折叠、加工和活性。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 DOI: 10.1016/j.tibtech.2026.09.003

Katarzyna I Jankowska, Upendra K Katneni, Brian C Lin, Hannah M Brenner, Randilu Amarasinghe, Nigam Padhiar, Patrick Dopler, Nobuko Hamasaki-Katagiri, Wells W Wu, Haojie Zhu, Hideki Taguchi, Je-Nie Phue, Paul Rahul, Sean Smith, Luis Santana-Quintero, Ofer Kimchi, Ryan C Hunt, Nicholas C Hurst, Emilee Knowlton, Nikolai F Schwabe, Anton A Komar, Jeremy W Fry, Chava Kimchi-Sarfaty

{"title":"Synonymous sequence design controls the folding, processing, and activity of the therapeutic protein ADAMTS13.","authors":"Katarzyna I Jankowska, Upendra K Katneni, Brian C Lin, Hannah M Brenner, Randilu Amarasinghe, Nigam Padhiar, Patrick Dopler, Nobuko Hamasaki-Katagiri, Wells W Wu, Haojie Zhu, Hideki Taguchi, Je-Nie Phue, Paul Rahul, Sean Smith, Luis Santana-Quintero, Ofer Kimchi, Ryan C Hunt, Nicholas C Hurst, Emilee Knowlton, Nikolai F Schwabe, Anton A Komar, Jeremy W Fry, Chava Kimchi-Sarfaty","doi":"10.1016/j.tibtech.2026.09.003","DOIUrl":"https://doi.org/10.1016/j.tibtech.2026.09.003","url":null,"abstract":"Synonymous recoding is widely used to enhance therapeutic protein expression, yet its broader effects on biogenesis and function remain unclear. We systematically examined how synonymous recoding shapes protein structure, processing, and activity using plasma protease ADAMTS13 (a disintegrin and metalloprotease with thrombospondin type 1 repeats, member 13) and its truncated MDTCS (metalloprotease, disintegrin-like, thrombospondin type 1, cysteine-rich, and spacer) variant across cell-free expression, transient transfection, lentiviral delivery, and targeted genomic integration. Wild-type, codon-optimized, and codon-pair-optimized constructs displayed pronounced, system-dependent differences in intracellular proteolysis, secretion, enzymatic performance, and post-translational modifications. Targeted genomic integration produced the highest protein fidelity, whereas transient and lentiviral systems yielded lower extracellular protein levels, particularly for codon-pair-optimized variants. Glycoproteomic analyses revealed distinct glycosylation patterns among synonymous constructs, indicating altered maturation, while Ankyron-based assays detected differences in molecular surface properties of recoding variants. Optimized MDTCS exhibited increased catalytic activity but reduced substrate affinity. These findings demonstrate that synonymous recoding can reshape proteostasis and activity, emphasizing the need for comprehensive evaluation of engineered therapeutic genes beyond yield.","PeriodicalId":23324,"journal":{"name":"Trends in biotechnology","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149115357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing artificial cofactors and their enzymes together. 设计人工辅因子及其酶。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-09-19 DOI: 10.1016/j.tibtech.2026.09.007

Alexandra P Platt, Yannick J Bomble, Robert S Paton

引用次数: 0

Next-generation discovery: empowering organoid research with machine learning, artificial intelligence, and mathematical modeling. 新一代发现：通过机器学习、人工智能和数学建模增强类器官研究的能力。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-03-13 DOI: 10.1016/j.tibtech.2026.01.009

Sneha Pushpa Ramesan, Jasmitha Boovadira Poonacha, Dilan Pathirana, Simon Merkt, Christian Maass, Jan Hasenauer, Elena S Reckzeh

引用次数: 0

Can nanozymes make the leap to the clinic? Advances, hurdles, and prospects. 纳米酶能飞跃到临床吗？进步、障碍和前景。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-04-02 DOI: 10.1016/j.tibtech.2025.12.028

Nil K Pandey, Hong Huy Tran, Edward B Steager, David P Cormode, Hyun Koo

{"title":"Can nanozymes make the leap to the clinic? Advances, hurdles, and prospects.","authors":"Nil K Pandey, Hong Huy Tran, Edward B Steager, David P Cormode, Hyun Koo","doi":"10.1016/j.tibtech.2025.12.028","DOIUrl":"10.1016/j.tibtech.2025.12.028","url":null,"abstract":"Nanozymes (enzyme-like catalytic nanomaterials) represent a new generation of artificial enzymes designed to overcome key limitations of their natural counterparts, including high production costs, low stability, and challenging storage requirements. Their versatility spans biosensing, bioimaging, therapeutics, and environmental remediation, attracting widespread interest across disciplines. Recent advances have moved nanozymes beyond benchtop proof of concept, with multiple in vivo studies and early clinical investigations demonstrating their translational potential. However, progress toward the clinic remains constrained by limited mechanistic understanding under physiologically relevant conditions; concerns over safety, biodegradability, and long-term efficacy; and uncertainties in scalable manufacturing, market feasibility, and regulatory approval. This review highlights recent breakthroughs in biomedical nanozymes and identifies key knowledge gaps that must be addressed to accelerate successful clinical translation and commercialization.","PeriodicalId":23324,"journal":{"name":"Trends in biotechnology","volume":" ","pages":"2870-2890"},"PeriodicalIF":16.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13054652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147616830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantum computing for biotechnological innovation: transformative potential in biomedicine and drug discovery. 生物技术创新的量子计算：生物医学和药物发现的变革潜力。

IF 16.6 1区工程技术

Trends in biotechnology Pub Date : 2026-10-01 Epub Date: 2026-03-05 DOI: 10.1016/j.tibtech.2026.01.008

Ji-Yong Sung, Seung-Min Park, Jae-Ho Cheong

引用次数: 0