Results 51 to 60 of about 5,423 (208)

Metabolic engineering of Bacillus subtilis for high-yield surfactin production

Biotechnology for Biofuels and Bioproducts
The industrial application of surfactin has been constrained by the low production capacity of Bacillus subtilis. This study developed a high-yield, high-tolerance surfactin-producing strain through a multi-level metabolic engineering strategy. First, we
Yong Wang, Hanqing Li, Yue Mao, Pengfei Li, Haizhen Wu, Jiang Ye, Huizhan Zhang   +6 more
doaj   +1 more source

Continuous Evolution System Based on Toxin–Antitoxin System Combined with Base Deaminase Accelerates the In Vivo Modification of Target Proteins

Advanced Science, EarlyView.
The promoted Escherichia coli‐assisted continuous evolution (PEACE) system operates through a stringent three step genetic circuit: target gene mutation via a deaminase–T7 RNA polymerase (T7 RNAP) fusion, coupling variant function to antitoxin expression, and growth based selection of surviving cells.
Xinyu Zhang, Zhanzhi Liu, Ying Xu, Mingjing Sun, Guangzhen Zhou, Deming Rao, Xiaoqian Chen, Sheng Wang, Zhigang Li, Yan Huang, Jing Wu   +10 more
wiley   +1 more source

Receptogenesis in a Vascularized Robotic Embodiment

Advanced Science, EarlyView.
Functional augmentation of situated robots via ex novo hardware generation extends physical adaptability. Drawing inspiration from open circulatory systems for mass and function redistribution, this study presents a vascularized robotic composite exhibiting receptogenesis ‐ the on‐demand construction of sensors ‐ from internal fluid reserves based on ...
Kadri‐Ann Pankratov, Leonid Zinatullin, Hans Priks, Adele Metsniit, Urmas Johanson, Tarmo Tamm, Alvo Aabloo, Edoardo Sinibaldi, Indrek Must   +8 more
wiley   +1 more source

Energy-coupled CO2 capture–conversion via membrane–adsorption integration: Quantitative benchmarks and pilot-scale design

Carbon Capture Science & Technology
This review advances a unified framework for engineering low-energy, high-efficiency CO2 capture–conversion platforms by co-designing membranes, adsorbents, and multi-field catalytic modules.
Hailing Ma, Xin Zhang, Yao Tong, Yew Mun Hung, Xin Wang   +4 more
doaj   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source

Enhanced editing of Bifidobacterium lactis using the endogenous Type I-G CRISPR-Cas system

Applied and Environmental Microbiology
Diverse Bifidobacterium animalis subsp. lactis strains are widely used as commercial probiotics. While proof-of-concept studies have shown that some strains can be edited using several CRISPR-Cas approaches, this species remains difficult to engineer ...
Ourania Raftopoulou, Kendall Malmstrom, Meichen Pan, Rodolphe Barrangou   +3 more
doaj   +1 more source

Beyond PEG: Emerging Polymer Lipid Alternatives for Lipid Nanoparticle (LNP) Formulations

Advanced Science, EarlyView.
This review discusses recent advances in PEG‐alternative LNP designs, including non‐PEG polymers, zwitterionic lipids, and polypeptides. It evaluates how surface‐engineering chemistry influences LNP formation and biological behavior, and highlights current limitations and opportunities of PEG‐alternative LNPs.
Zihnil A. I. Mazrad, Yi Ju, Stephen J. Kent, Colin W. Pouton, Kristian Kempe   +4 more
wiley   +1 more source

Modular multi-enzyme cascades enable green and sustainable synthesis of non-canonical amino acids from glycerol

Nature Communications
Non-canonical amino acids (ncAAs) bearing diverse functional groups hold transformative potential in drug discovery, protein engineering, and biomaterial science.
Shuai Xu, Shu-hong Wang, Long-wei Lou, Yu Ji, Ulrich Schwaneberg, Zhi-min Li, Feng Cheng, Zong-lin Li   +7 more
doaj   +1 more source

Machine learning-assisted rational design and evolution of novel signal peptides in Yarrowia lipolytica

Synthetic and Systems Biotechnology
Microbial proteins hold great promise as sustainable alternatives for future protein sources, and oleaginous yeast Yarrowia lipolytica has emerged as a recognized platform for heterologous protein expression and secretion. N-terminal signal peptides (SPs)
Zizhao Wu, Wenhao Chen, Yuxiang Hong, Yongkai Wang, Peng Xu   +4 more
doaj   +1 more source

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

Advanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang, Shijie He, Yuheng Chang, Sheng Mao, Jianan Canal Li, Binbin Chen, Hongxun Gao, Mingchun Xu, Chenxu Liu, Yajie Wang   +9 more
wiley   +1 more source