The first downstream processing step in the purification of a biopharmaceutical protein secreted into mammalian cell culture fluid is the primary clarification of the culture fluid. As cell densities in the fed-batch and increasingly more common perfusion bioreactors have increased over last two decades through intensified upstream bioreactor production processes, the traditional primary clarification unit operations of centrifugation and/or microfiltration become more challenging with issues like frequent desludging, cell disruption due to shear damage and quick fouling of membranes. We have developed a novel compact cell settler device exploiting the enhanced sedimentation on inclined surfaces and demonstrated that this settler device can be adapted easily to remove and contain cells or cell clumps from the clarified supernatant collected via the top effluent of the settler. In this work, we present high product recovery results during primary clarification of mammalian cell culture supernatant using our novel single-use disposable BioSettler150 while processing about 10 L of cell culture broth within short processing times of about 4 h.
{"title":"Primary clarification of mammalian cell culture fluid using enhanced sedimentation on inclined surfaces inside the single-use disposable Sudhin BioSettler150","authors":"Christopher B. Glascock, Dhinakar S. Kompala","doi":"10.1002/btpr.3489","DOIUrl":"10.1002/btpr.3489","url":null,"abstract":"<p>The first downstream processing step in the purification of a biopharmaceutical protein secreted into mammalian cell culture fluid is the primary clarification of the culture fluid. As cell densities in the fed-batch and increasingly more common perfusion bioreactors have increased over last two decades through intensified upstream bioreactor production processes, the traditional primary clarification unit operations of centrifugation and/or microfiltration become more challenging with issues like frequent desludging, cell disruption due to shear damage and quick fouling of membranes. We have developed a novel compact cell settler device exploiting the enhanced sedimentation on inclined surfaces and demonstrated that this settler device can be adapted easily to remove and contain cells or cell clumps from the clarified supernatant collected via the top effluent of the settler. In this work, we present high product recovery results during primary clarification of mammalian cell culture supernatant using our novel single-use disposable BioSettler150 while processing about 10 L of cell culture broth within short processing times of about 4 h.</p>","PeriodicalId":8856,"journal":{"name":"Biotechnology Progress","volume":"40 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141426249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fiona C. Kanis, Caroline N. Broude, Elle B. Hellwarth, William J. Gibbons Jr, Abhishek K. Sen, Alexandra M. Adams, Xin Wang, J. Andrew Jones
N-methylated tryptamines, such as the hallucinogenic natural products, psilocybin and N,N-dimethyltryptamine (DMT), are gaining interest from the medical community due to their potential as next generation treatments for mental health disorders. The clinical relevance of these compounds has driven scientists to develop biosynthetic production routes to a number of tryptamine drug candidates, and efforts are ongoing to expand and further develop these biosynthetic capabilities. To that end, we have further characterized the substrate preferences of two enzymes involved in tryptamine biosynthesis: TrpM, a tryptophan N-methyltransferase from Psilocybe serbica, and PsiD, the gateway decarboxylase of the psilocybin biosynthesis pathway. Here, we show that TrpM can N-methylate the non-native amino acid substrate, 4-hydroxytryptophan, a key intermediate in the Escherichia coli-based recombinant psilocybin biosynthesis pathway. However, the ability to incorporate TrpM into a functional psilocybin biosynthesis pathway was thwarted by PsiD's inability to use N,N-dimethyl-4-hydroxytryptophan as substrate, under the culturing conditions tested, despite demonstrating activity on N-methylated and 4-hydroxylated tryptophan derivatives individually. Taken together, this work expands upon the known substrates for TrpM and PsiD, further increasing the diversity of tryptamine biosynthetic products.
{"title":"Evaluation of TrpM and PsiD substrate promiscuity reveals new biocatalytic capabilities","authors":"Fiona C. Kanis, Caroline N. Broude, Elle B. Hellwarth, William J. Gibbons Jr, Abhishek K. Sen, Alexandra M. Adams, Xin Wang, J. Andrew Jones","doi":"10.1002/btpr.3492","DOIUrl":"10.1002/btpr.3492","url":null,"abstract":"<p><i>N</i>-methylated tryptamines, such as the hallucinogenic natural products, psilocybin and <i>N,N</i>-dimethyltryptamine (DMT), are gaining interest from the medical community due to their potential as next generation treatments for mental health disorders. The clinical relevance of these compounds has driven scientists to develop biosynthetic production routes to a number of tryptamine drug candidates, and efforts are ongoing to expand and further develop these biosynthetic capabilities. To that end, we have further characterized the substrate preferences of two enzymes involved in tryptamine biosynthesis: TrpM, a tryptophan <i>N</i>-methyltransferase from <i>Psilocybe serbica</i>, and PsiD, the gateway decarboxylase of the psilocybin biosynthesis pathway. Here, we show that TrpM can <i>N</i>-methylate the non-native amino acid substrate, 4-hydroxytryptophan, a key intermediate in the <i>Escherichia coli</i>-based recombinant psilocybin biosynthesis pathway. However, the ability to incorporate TrpM into a functional psilocybin biosynthesis pathway was thwarted by PsiD's inability to use <i>N,N</i>-dimethyl-4-hydroxytryptophan as substrate, under the culturing conditions tested, despite demonstrating activity on <i>N</i>-methylated and 4-hydroxylated tryptophan derivatives individually. Taken together, this work expands upon the known substrates for TrpM and PsiD, further increasing the diversity of tryptamine biosynthetic products.</p>","PeriodicalId":8856,"journal":{"name":"Biotechnology Progress","volume":"40 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/btpr.3492","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lillian McAfee, Zach Heath, William Anderson, Marvin Hozi, John Walker Orr, Youngbok (Abraham) Kang
Microscopy image analysis plays a crucial role in understanding cellular behavior and uncovering important insights in various biological and medical research domains. Tracking cells within the time-lapse microscopy images is a fundamental technique that enables the study of cell dynamics, interactions, and migration. While manual cell tracking is possible, it is time-consuming and prone to subjective biases that impact results. In order to solve this issue, we sought to create an automated software solution, named cell analyzer, which is able to track cells within microscopy images with minimal input required from the user. The program of cell analyzer was written in Python utilizing the open source computer vision (OpenCV) library and featured a graphical user interface that makes it easy for users to access. The functions of all codes were verified through closeness, area, centroid, contrast, variance, and cell tracking test. Cell analyzer primarily utilizes image preprocessing and edge detection techniques to isolate cell boundaries for detection and analysis. It uniquely recorded the area, displacement, speed, size, and direction of detected cell objects and visualized the data collected automatically for fast analysis. Our cell analyzer provides an easy-to-use tool through a graphical user interface for tracking cell motion and analyzing quantitative cell images.
{"title":"The development of an automated microscope image tracking and analysis system","authors":"Lillian McAfee, Zach Heath, William Anderson, Marvin Hozi, John Walker Orr, Youngbok (Abraham) Kang","doi":"10.1002/btpr.3490","DOIUrl":"10.1002/btpr.3490","url":null,"abstract":"<p>Microscopy image analysis plays a crucial role in understanding cellular behavior and uncovering important insights in various biological and medical research domains. Tracking cells within the time-lapse microscopy images is a fundamental technique that enables the study of cell dynamics, interactions, and migration. While manual cell tracking is possible, it is time-consuming and prone to subjective biases that impact results. In order to solve this issue, we sought to create an automated software solution, named cell analyzer, which is able to track cells within microscopy images with minimal input required from the user. The program of cell analyzer was written in Python utilizing the open source computer vision (OpenCV) library and featured a graphical user interface that makes it easy for users to access. The functions of all codes were verified through closeness, area, centroid, contrast, variance, and cell tracking test. Cell analyzer primarily utilizes image preprocessing and edge detection techniques to isolate cell boundaries for detection and analysis. It uniquely recorded the area, displacement, speed, size, and direction of detected cell objects and visualized the data collected automatically for fast analysis. Our cell analyzer provides an easy-to-use tool through a graphical user interface for tracking cell motion and analyzing quantitative cell images.</p>","PeriodicalId":8856,"journal":{"name":"Biotechnology Progress","volume":"40 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elaina M. Blair, Jennifer L. Brown, Dong Li, Patricia A. Holden, Michelle A. O'Malley
Anaerobic microbial communities are often highly degradative, such as those found in the herbivore rumen and large-scale anaerobic digesters. Since the microbial communities in these systems degrade recalcitrant organic polymers, we hypothesize that some microbes in anaerobic environments may be involved in man-made plastic association, deformation, or even breakdown. While efforts have been put toward characterizing microbial communities, many microbes remain unidentified until they can be sufficiently cultivated to generate enough genetic material to assemble high-quality metagenome assemblies and reference genomes. In this study, microbial consortia from goat fecal pellets and anaerobic digester sludge were cultivated for over 6 weeks to assemble metagenomes from novel anaerobic taxa with potential degradative activity. To select for microbes with potential plastic-degrading abilities, plastic strips were included in culture, though the presence of plastic did not appear to enrich for particularly degradative consortia, yet it did select for novel species that otherwise may not have been characterized. Whole-genome shotgun sequencing enabled assembly of 72 prokaryotic metagenome-assembled genomes (MAGs) with >90% completion, <5% contamination, and an N50 >10,000 bp; 17 of these MAGs are classified as novel species given their lack of similarity to publicly available genomes and MAGs. These 72 MAGs vary in predicted carbohydrate-degrading abilities, with genes predicted to encode fewer than 10 or up to nearly 400 carbohydrate-active enzymes. Overall, this enrichment strategy enables characterization of less abundant MAGs in a community, and the MAGs identified here can be further mined to advance understanding of degradative anaerobic microbial consortia.
{"title":"Metagenomics analysis yields assembled genomes from prokaryotic anaerobes with polymer-degrading potential","authors":"Elaina M. Blair, Jennifer L. Brown, Dong Li, Patricia A. Holden, Michelle A. O'Malley","doi":"10.1002/btpr.3484","DOIUrl":"10.1002/btpr.3484","url":null,"abstract":"<p>Anaerobic microbial communities are often highly degradative, such as those found in the herbivore rumen and large-scale anaerobic digesters. Since the microbial communities in these systems degrade recalcitrant organic polymers, we hypothesize that some microbes in anaerobic environments may be involved in man-made plastic association, deformation, or even breakdown. While efforts have been put toward characterizing microbial communities, many microbes remain unidentified until they can be sufficiently cultivated to generate enough genetic material to assemble high-quality metagenome assemblies and reference genomes. In this study, microbial consortia from goat fecal pellets and anaerobic digester sludge were cultivated for over 6 weeks to assemble metagenomes from novel anaerobic taxa with potential degradative activity. To select for microbes with potential plastic-degrading abilities, plastic strips were included in culture, though the presence of plastic did not appear to enrich for particularly degradative consortia, yet it did select for novel species that otherwise may not have been characterized. Whole-genome shotgun sequencing enabled assembly of 72 prokaryotic metagenome-assembled genomes (MAGs) with >90% completion, <5% contamination, and an N50 >10,000 bp; 17 of these MAGs are classified as novel species given their lack of similarity to publicly available genomes and MAGs. These 72 MAGs vary in predicted carbohydrate-degrading abilities, with genes predicted to encode fewer than 10 or up to nearly 400 carbohydrate-active enzymes. Overall, this enrichment strategy enables characterization of less abundant MAGs in a community, and the MAGs identified here can be further mined to advance understanding of degradative anaerobic microbial consortia.</p>","PeriodicalId":8856,"journal":{"name":"Biotechnology Progress","volume":"40 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/btpr.3484","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141330307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scott H. Altern, Jessica Y. Lyall, John P. Welsh, Sean Burgess, Vijesh Kumar, Chris Williams, Abraham M. Lenhoff, Steven M. Cramer
While high-throughput (HT) experimentation and mechanistic modeling have long been employed in chromatographic process development, it remains unclear how these techniques should be used in concert within development workflows. In this work, a process development workflow based on HT experiments and mechanistic modeling was constructed. The integration of HT and modeling approaches offers improved workflow efficiency and speed. This high-throughput in silico (HT-IS) workflow was employed to develop a Capto MMC polishing step for mAb aggregate removal. High-throughput batch isotherm data was first generated over a range of mobile phase conditions and a suite of analytics were employed. Parameters for the extended steric mass action (SMA) isotherm were regressed for the multicomponent system. Model validation was performed using the extended SMA isotherm in concert with the general rate model of chromatography using the CADET modeling software. Here, step elution profiles were predicted for eight RoboColumn runs across a range of ionic strength, pH, and load density. Optimized processes were generated through minimization of a complex objective function based on key process metrics. Processes were evaluated at lab-scale using two feedstocks, differing in composition. The results confirmed that both processes obtained high monomer yield (>85%) and removed