Biotechnology Journal最新文献

Existing low pH viral inactivation methods for continuous downstream processing of biologics typically rely on predictive models to estimate the necessary pH adjustments. However, these methods are of limited use during the process development stage due to the dynamic nature of capture chromatography, where batch variations can alter the eluted protein titer. This study introduces an inline viral inactivation system (IVIS) that utilizes real-time adaptive control and inline sensor readings to precisely regulate the pH manipulation for inline acidification and continuous viral inactivation. The IVIS, which includes a coiled flow inversion reactor (CFIR), is integrated with a multicolumn capture chromatography system to demonstrate a fully continuous process from protein capture chromatography to inline pH manipulation. The system achieved precise inline pH manipulation within ±0.15 and a narrow residence time distribution of 13.5 min with a relative width of 0.7. The introduction of real-time inline pH manipulation with the IVIS signifies a notable advancement in managing critical process parameters (CPPs) and ensuring consistent product quality across varied production environments for continuous downstream bioprocessing.

Targeted integration (TI) Chinese hamster ovary (CHO) platforms are commonly used for protein expression. However, the impact of epigenetic modifications on protein expression in TI cell lines remains elusive since almost all the epigenetic studies focus on random integration (RI) of the gene of interest and only within the promoter region. To address the impact of epigenetic modifications on TI CHO cells, we utilized a standard mAb-1 to identify and characterize TI clones with the same transgene copy numbers but different levels of transgene transcription and titer. Surprisingly, while CMV promoters were not methylated and histone acetylation/methylation was present, these epigenetic markers did not trend with mRNA transcription and protein expression in our TI model. Instead, ATAC-seq data analysis revealed that differences in chromatin accessibility within the TI site could be a major factor impacting these observed differences. However, neither chromatin accessibility nor histone acetylation/methylation profiles in early cultures were predictive of high-expressing clones early during the CLD process. Finally, modulation of the histone profiles (H3K27ac and H3K4me3) at the CMV promoters within the TI integration site using dCas9 fusion proteins was not effective in further increasing mAb titers which could have been likely due to interference of the dCas9 fusion proteins with transcription from the CMV promoters. Overall, our data suggests increasing chromatin accessibility at the TI site is the most effective way to increase mRNA transcription and hence, productivity in TI cell lines.

A new method has been developed to improve the detection of norovirus (NoV) in complex fecal samples using nanocatalyst-based immunoassays. The method involves using multifunctional trimetallic nanoparticles, known as Ag@Fe₃O₄@Au NPs. These nanoparticles consist of a core of silver (Ag) and a shell of iron oxide (Fe₃O₄) decorated with isolated gold nanoparticles (Au NPs). The nanoparticles have enhanced catalytic activity, making them an ideal nanocatalyst for reducing 4-nitrophenol (4-NP, yellow) to 4-aminophenol (4-AP, colorless). The developed Ag@Fe₃O₄@Au NPs-based immunoassay achieved a limit of detection (LOD) of 1.9 pg/mL for norovirus-like particles (NoV-LP) and 6.97 RNA copy number/mL for fecal NoV. In fecal sample analysis for NoV, a heat treatment at 65°C was necessary to prevent degradation of the target protein, ensuring sensitive detection. This work successfully combined multifunctional nanocatalysts for advanced immunoassays, which could contribute to developing nano-biosensing platforms.

Pichia pastoris possesses the unique ability to utilize methanol as its sole carbon source, which makes it a proper host for producing various high-value-added products via metabolic engineering. Nevertheless, cell death has been observed during the fermentation of modified P. pastoris, with limited literature elucidating the underlying causes and mechanisms. Understanding the death mechanisms during methanol-based fermentation is crucial for optimizing fermentation strategies, enhancing the accumulation of target products, and reducing production costs. Here, we first sought to eliminate the potential causes of cell death during fermentation, such as inadequate inorganic salts and toxic by-product accumulation. The elimination of these potential causes was achieved efficiently utilizing the high-throughput fermentation equipment. Subsequently, we established a correlation between yeast cell death and the duration of the methanol metabolism period by monitoring the growth of the yeast at different fermentation stages. A critical revelation from this work came from analyzing the yeast's transcriptomic data at various stages of methanol metabolism. It was observed that a significant characteristic of yeast cell death during fermentation was the marked down-regulation of transcript levels of key enzymes involved in the methanol assimilation pathway and genes related to their biosynthesis process. The findings of this work are crucial for better understanding the causes and mechanisms of cell death for engineered P. pastoris during methanol-utilized fermentation.

How to use and deliver drugs to diseased and damaged areas has been one of the main concerns of pharmacologists and doctors for a long time. With the efforts of researchers, the advancement of technology, and the involvement of engineering in the health field, diverse and promising approaches have been studied and used to achieve this goal. A better understanding of biomaterials and the ability of production equipment led researchers to offer new drug delivery systems to the world. In recent decades, responsive polymers (exclusively to temperature and pH) and supramolecular polymers have received much attention due to their unique capabilities. Although this field of research still needs to be scrutinized and studied more, their recognition, examination, and use as drug delivery systems is a start for a promising future. This review study, focusing on temperature-responsive and supramolecular biomaterials and their application as drug delivery systems, deals with their structure, properties, and role in the noninvasive and effective delivery of medicinal agents.

Glucose sensors are essential tools for monitoring blood glucose concentration in diabetic patients. In recent years, with the increasing number of individuals suffering from diabetes, blood glucose monitoring has become extremely necessary, which expedites the iteration and upgrade of glucose sensors greatly. Currently, two main types of glucose sensors are available for blood glucose testing: enzyme-based glucose sensor (EBGS) and enzyme-free glucose sensor (EFGS). For EBGS, several progresses have been made to comprehensively improve detection performance, ranging from enhancing enzyme activity, thermostability, and electron transfer properties, to introducing new materials with superior properties. For EFGS, more and more new metallic materials and their oxides are being applied to further optimize its blood glucose monitoring. Here the latest progress of electrochemical glucose sensors, their manufacturing methods, electrode materials, electrochemical parameters, and applications were summarized, the development glucose sensors with various noninvasive sampling modes were also compared.

The performance of industrial strains has gradually improved with the rapid development of synthetic biotechnology. The production efficiency of traditional batch and fed-batch culture is limited and product quality varies since both are dynamic processes, whereas multi-stage continuous culture can maximise the production efficiency of specific fermentation processes and achieve consistent product quality. However, each single-stage fermentation under multi-stage continuous fermentation requires accurate steady-state control, and a model with adequate accuracy is required for designing and controlling a multi-stage continuous fermentation process. At present, there are few reports on kinetic models for the control of multi-stage continuous fermentation. In this work, we constructed a hybrid model for Saccharomyces cerevisiae multi-stage continuous culture, taking both oxygen limitation and Crabtree effect. The accuracy of the model was ∼80%, the advantages and limitations of the model are discussed and a potential improvement strategy is proposed.