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Protein purification remains a formidable and costly technical obstacle in biotechnology. Here, we present a new column-free method, utilizing the cleavable self-aggregating tag 2.0 (cSAT2.0) scheme, to streamline protein production in Escherichia coli, yielding high quantities with exceptional purity. In shake-flask experiments using lysogeny broth (LB) medium, the cSAT2.0 scheme successfully produced one peptide and five proteins, with yields ranging from 24 mg/l to 89 mg/l, and purity levels exceeding 98%. The cSAT2.0 scheme also enabled high-throughput protein preparation on microplates. Furthermore, we scaled up the fermentation process for caplacizumab, achieving 1.4 g/l of highly purified protein in a 5-l fermenter. Our results demonstrate that the cSAT2.0 scheme can serve as an economical and robust platform for protein production from microplate to fermenter scales.
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http://dx.doi.org/10.1016/j.tibtech.2024.10.008 | DOI Listing |
Inorg Chem
September 2025
State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Photocatalysis has emerged as a promising strategy to address water pollution caused by heavy metals and antibiotics. Zeolites exhibit significant potential in petrochemical catalysis; however, the development of zeolite-based photocatalysts remains a critical challenge for researchers. Herein, a novel Z-scheme heterojunction was designed and fabricated on the titanium-silicon zeolite TS-1 by modifying g-CN via a simple calcination process.
View Article and Find Full Text PDFSci Prog
September 2025
School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
At present, significant progress has been made in the research of image encryption, but there are still some issues that need to be explored in key space, password generation and security verification, encryption schemes, and other aspects. Aiming at this, a digital image encryption algorithm was developed in this paper. This algorithm integrates six-dimensional cellular neural network with generalized chaos to generate pseudo-random numbers to generate the plaintext-related ciphers.
View Article and Find Full Text PDFIEEE Trans Med Imaging
September 2025
Computed Tomography (CT) to Cone-Beam Computed Tomography (CBCT) image registration is crucial for image-guided radiotherapy and surgical procedures. However, achieving accurate CT-CBCT registration remains challenging due to various factors such as inconsistent intensities, low contrast resolution and imaging artifacts. In this study, we propose a Context-Aware Semantics-driven Hierarchical Network (referred to as CASHNet), which hierarchically integrates context-aware semantics-encoded features into a coarse-to-fine registration scheme, to explicitly enhance semantic structural perception during progressive alignment.
View Article and Find Full Text PDFCyberattacks on transmitted signals are the most critical threats to modern microgrid (MG) systems and should be accurately addressed to ensure safe and reliable operation. This article investigates the cybersecurity of dc MGs against FDI attacks and develops a novel model-based observer system. The proposed projection operator (PO)-based UIO is uniquely designed to detect attacks on the transmitted data from other distributed generation units.
View Article and Find Full Text PDFIEEE Trans Cybern
September 2025
To combine the strengths of Gaussian and non-Gaussian latent variable models, a novel information fusion strategy has recently been proposed under the deep learning framework. Although promising results have been obtained, the critical structure learning problem remains unsolved, which seriously hinders the automation of data-driven modeling and analytics. In this article, the maximal information coefficient (MIC) method is introduced as a measurement of the AS between two latent variables, which has no restriction in the type of data distribution.
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