Development of taxon‐specific markers for high‐throughput screening of microbial‐feeding nematodes

In an effort to assess the taxonomic identity of large‐scale samplings of nematodes from the Konza Tallgrass Prairie, we sequenced a portion of the 18S rRNA gene and its associated internally transcribed spacer (ITS1) from 74 nematodes encompassing four taxonomic families. From these sequences, we have developed a series of molecular probes to distinguish 16 distinct microbivorous nematode taxa. Using a combination of low power microscopy and taxon‐specific real‐time probes, the 74 nematodes were correctly assigned to their respective taxonomic groups. This optimized method provides a high‐throughput assay to determine nematode identities across larger data sets.     

Miniaturized fluid array for high‐throughput protein expression

We describe a miniaturized fluid array device for high‐throughput cell‐free protein synthesis (CFPS), aiming to match the throughput and scale of gene discovery. Current practice of using E. coli cells for production of recombinant proteins is difficult and cost‐prohibitive to implement in a high‐throughput format. As more and more new genes are being identified, there is a considerable need to have high‐throughput methods to produce a large number of proteins for studying structures and functions of the corresponding genes. The device consists of 96 units and each unit is for expression of one protein; thus up to 96 proteins can be produced simultaneously. The function of the fluid array was demonstrated by expression of a variety of proteins, with more than two orders of magnitude reduction in reagent consumption compared with a commercially available CFPS instrument. The protein expression yield in the device was up to 87 times higher for β‐glucoronidase than that in a conventional microplate. The concentration of β‐galactosidase expressed in the device was determined at 5.5 μg/μL. The feasibility of using the device for drug screening was demonstrated by measuring the inhibitory effects of mock drug compounds on synthesized β‐lactamase without the need for harvesting proteins, which enabled us to reduce the analysis time from days to hours. © 2010 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Advances in clone selection using high‐throughput bioreactors

Effective clone selection is a crucial step toward developing a robust mammalian cell culture production platform. Currently, clone selection is done by culturing cells in well plates and picking the highest producers. Ideally, clone selection should be done in a stirred tank bioreactor as this would best replicate the eventual production environment. The actual number of clones selected for future evaluation in bioreactors at bench‐scale is limited by the scale‐up and operational costs involved. This study describes the application of miniaturized stirred high‐throughput bioreactors (35 mL working volume; HTBRs) with noninvasive optical sensors for clone screening and selection. We investigated a method for testing several subclones simultaneously in a stirred environment using our high throughput bioreactors (up to 12 clones per HTBR run) and compared it with a traditional well plate selection approach. Importantly, it was found that selecting clones solely based on results from stationary well plate cultures could result in the chance of missing higher producing clones. Our approach suggests that choosing a clone after analyzing its performance in a stirred bioreactor environment is an improved method for clone selection. © 2010 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Thirty‐eight single nucleotide polymorphism markers for high‐throughput genotyping of chum salmon

We characterize 38 single nucleotide polymorphism genotyping assays for chum salmon (Oncorhynchus keta), an important species for both commercial and subsistence fisheries in western Alaska. These assays are based on the 5′‐nuclease reaction and thus facilitate high‐throughput genotyping with minimal optimization time. Minor allele frequency differences (Δq) among collections were between 0.01 and 0.50 resulting in per locus F_ST estimates of 0.00–0.08 with an average of 0.03.     

Three‐dimensional cell culture microarray for high‐throughput studies of stem cell fate

We have developed a novel three‐dimensional (3D) cellular microarray platform to enable the rapid and efficient tracking of stem cell fate and quantification of specific stem cell markers. This platform consists of a miniaturized 3D cell culture array on a functionalized glass slide for spatially addressable high‐throughput screening. A microarray spotter was used to deposit cells onto a modified glass surface to yield an array consisting of cells encapsulated in alginate gel spots with volumes as low as 60 nL. A method based on an immunofluorescence technique scaled down to function on a cellular microarray was also used to quantify specific cell marker protein levels in situ. Our results revealed that this platform is suitable for studying the expansion of mouse embryonic stem (ES) cells as they retain their pluripotent and undifferentiated state. We also examined neural commitment of mouse ES cells on the microarray and observed the generation of neuroectodermal precursor cells characterized by expression of the neural marker Sox‐1, whose levels were also measured in situ using a GFP reporter system. In addition, the high‐throughput capacity of the platform was tested using a dual‐slide system that allowed rapid screening of the effects of tretinoin and fibroblast growth factor‐4 (FGF‐4) on the pluripotency of mouse ES cells. This high‐throughput platform is a powerful new tool for investigating cellular mechanisms involved in stem cell expansion and differentiation and provides the basis for rapid identification of signals and conditions that can be used to direct cellular responses. Biotechnol. Bioeng. 2010; 106: 106–118. © 2010 Wiley Periodicals, Inc.     

Thirty‐two single nucleotide polymorphism markers for high‐throughput genotyping of sockeye salmon

We characterize 32 single nucleotide polymorphism genotyping assays for resolving genotypic variation in sockeye salmon Oncorhynchus nerka in the Pacific Rim. These assays are based on the 5′‐nuclease reaction and thus facilitate high‐throughput genotyping with minimal optimization time. Minor allele frequency differences (Δq) among collections were between 4.7% and 97.9%, resulting in per locus F_ST estimates of 0.02–0.71 with an average of 0.22.     

A method for high‐throughput production of sequence‐verified DNA libraries and strain collections

The low costs of array‐synthesized oligonucleotide libraries are empowering rapid advances in quantitative and synthetic biology. However, high synthesis error rates, uneven representation, and lack of access to individual oligonucleotides limit the true potential of these libraries. We have developed a cost‐effective method called Recombinase Directed Indexing (REDI), which involves integration of a complex library into yeast, site‐specific recombination to index library DNA, and next‐generation sequencing to identify desired clones. We used REDI to generate a library of ~3,300 DNA probes that exhibited > 96% purity and remarkable uniformity (> 95% of probes within twofold of the median abundance). Additionally, we created a collection of ~9,000 individually accessible CRISPR interference yeast strains for > 99% of genes required for either fermentative or respiratory growth, demonstrating the utility of REDI for rapid and cost‐effective creation of strain collections from oligonucleotide pools. Our approach is adaptable to any complex DNA library, and fundamentally changes how these libraries can be parsed, maintained, propagated, and characterized.     

A high‐throughput capillary isoelectric focusing immunoassay for fingerprinting protein sialylation

The serum half‐life, biological activity, and solubility of many recombinant glycoproteins depend on their sialylation. Monitoring glycoprotein sialylation during cell culture manufacturing is, therefore, critical to ensure product efficacy and safety. Here a high‐throughput method for semi‐quantitative fingerprinting of glycoprotein sialylation using capillary isoelectric focusing immunoassay on NanoPro (Protein Simple) platform was developed. The method was specific, sensitive, precise, and robust. It could analyze 2 μL of crude cell culture samples without protein purification, and could automatically analyze from 8 samples in 4 h to 96 samples in 14 h without analyst supervision. Furthermore, its capability to detect various changes in sialylation fingerprints during cell culture manufacturing process was indispensable to ensure process robustness and consistency. Moreover, the changes in the sialylation fingerprints analyzed by this method showed strong correlations with intact mass analysis using liquid chromatography and mass spectrometry. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 32:235–241, 2016     

Metabolic profiling of recombinant Escherichia coli cultivations based on high‐throughput FT‐MIR spectroscopic analysis

Escherichia coli is one of the most used host microorganism for the production of recombinant products, such as heterologous proteins and plasmids. However, genetic, physiological and environmental factors influence the plasmid replication and cloned gene expression in a highly complex way. To control and optimize the recombinant expression system performance, it is very important to understand this complexity. Therefore, the development of rapid, highly sensitive and economic analytical methodologies, which enable the simultaneous characterization of the heterologous product synthesis and physiologic cell behavior under a variety of culture conditions, is highly desirable. For that, the metabolic profile of recombinant E. coli cultures producing the pVAX‐lacZ plasmid model was analyzed by rapid, economic and high‐throughput Fourier Transform Mid‐Infrared (FT‐MIR) spectroscopy. The main goal of the present work is to show as the simultaneous multivariate data analysis by principal component analysis (PCA) and direct spectral analysis could represent a very interesting tool to monitor E. coli culture processes and acquire relevant information according to current quality regulatory guidelines. While PCA allowed capturing the energetic metabolic state of the cell, e.g. by identifying different C‐sources consumption phases, direct FT‐MIR spectral analysis allowed obtaining valuable biochemical and metabolic information along the cell culture, e.g. lipids, RNA, protein synthesis and turnover metabolism. The information achieved by spectral multivariate data and direct spectral analyses complement each other and may contribute to understand the complex interrelationships between the recombinant cell metabolism and the bioprocess environment towards more economic and robust processes design according to Quality by Design framework. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 33:285–298, 2017     

Automatic annular laser trapping: a system for high‐throughput sperm analysis and sorting

An automatic microscope system is designed to study the response of sperm motility to an annular laser trap. A continuous annular laser trap provides a parallel way to analyze and sort sperm based on their motility and to study the effects of laser radiation, optical force and external obstacles. In the described automatic microscope system, the phase contrast images of swimming sperm are digitized to the computer at video rates. The microscope stage is controlled in real‐time to relocate the sperm of interest to the annular trap with a normal or tangential entering angle. The sperm is continuously tracked and the swimming behavior is identified. Using this system, parallel sorting on human and gorilla sperm are achieved and threshold power levels separating the “fast” group and the “slow” group are compared for those two species. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Application of high‐throughput mini‐bioreactor system for systematic scale‐down modeling,process characterization,and control strategy development

High‐throughput systems and processes have typically been targeted for process development and optimization in the bioprocessing industry. For process characterization, bench scale bioreactors have been the system of choice. Due to the need for performing different process conditions for multiple process parameters, the process characterization studies typically span several months and are considered time and resource intensive. In this study, we have shown the application of a high‐throughput mini‐bioreactor system viz. the Advanced Microscale Bioreactor (ambr15^TM), to perform process characterization in less than a month and develop an input control strategy. As a pre‐requisite to process characterization, a scale‐down model was first developed in the ambr system (15 mL) using statistical multivariate analysis techniques that showed comparability with both manufacturing scale (15,000 L) and bench scale (5 L). Volumetric sparge rates were matched between ambr and manufacturing scale, and the ambr process matched the pCO₂ profiles as well as several other process and product quality parameters. The scale‐down model was used to perform the process characterization DoE study and product quality results were generated. Upon comparison with DoE data from the bench scale bioreactors, similar effects of process parameters on process yield and product quality were identified between the two systems. We used the ambr data for setting action limits for the critical controlled parameters (CCPs), which were comparable to those from bench scale bioreactor data. In other words, the current work shows that the ambr15^TM system is capable of replacing the bench scale bioreactor system for routine process development and process characterization. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:1623–1632, 2015     

Development of a high‐throughput microscale cell disruption platform for Pichia pastoris in rapid bioprocess design

The time and cost benefits of miniaturized fermentation platforms can only be gained by employing complementary techniques facilitating high‐throughput at small sample volumes. Microbial cell disruption is a major bottleneck in experimental throughput and is often restricted to large processing volumes. Moreover, for rigid yeast species, such as Pichia pastoris, no effective high‐throughput disruption methods exist. The development of an automated, miniaturized, high‐throughput, noncontact, scalable platform based on adaptive focused acoustics (AFA) to disrupt P. pastoris and recover intracellular heterologous protein is described. Augmented modes of AFA were established by investigating vessel designs and a novel enzymatic pretreatment step. Three different modes of AFA were studied and compared to the performance high‐pressure homogenization. For each of these modes of cell disruption, response models were developed to account for five different performance criteria. Using multiple responses not only demonstrated that different operating parameters are required for different response optima, with highest product purity requiring suboptimal values for other criteria, but also allowed for AFA‐based methods to mimic large‐scale homogenization processes. These results demonstrate that AFA‐mediated cell disruption can be used for a wide range of applications including buffer development, strain selection, fermentation process development, and whole bioprocess integration. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 34:130–140, 2018     

Fungal palaeodiversity revealed using high‐throughput metabarcoding of ancient DNA from arctic permafrost

The taxonomic and ecological diversity of ancient fungal communities was assessed by combining next generation sequencing and metabarcoding of DNA preserved in permafrost. Twenty‐six sediment samples dated 16 000–32 000 radiocarbon years old from two localities in Siberia were analysed for fungal ITS. We detected 75 fungal OTUs from 21 orders representing three phyla, although rarefaction analyses suggested that the full diversity was not recovered despite generating an average of 6677 ± 3811 (mean ± SD) sequences per sample and that preservation bias likely has considerable effect on the recovered DNA. Most OTUs (75.4%) represented ascomycetes. Due to insufficient sequencing depth, DNA degradation and putative preservation biases in our samples, the recovered taxa probably do not represent the complete historic fungal community, and it is difficult to determine whether the fungal communities varied geographically or experienced a composition shift within the period of 16 000–32 000 bp . However, annotation of OTUs to functional ecological groups provided a wealth of information on the historic communities. About one‐third of the OTUs are presumed plant‐associates (pathogens, saprotrophs and endophytes) typical of graminoid‐ and forb‐rich habitats. We also detected putative insect pathogens, coprophiles and keratinophiles likely associated with ancient insect and herbivore faunas. The detection of putative insect pathogens, mycoparasites, aquatic fungi and endophytes broadens our previous knowledge of the diversity of fungi present in Beringian palaeoecosystems. A large group of putatively psychrophilic/psychrotolerant fungi was also detected, most likely representing a modern, metabolically active fungal community.     

Characterization and design of chemically selective cationic displacers using a robotic high‐throughput screen

A robotic high‐throughput displacer screen was developed and employed to identify chemically selective displacers for several protein pairs in cation exchange chromatography. This automated screen enabled the evaluation of a wide range of experimental conditions in a relatively short period of time. Displacers were evaluated at multiple concentrations for these protein pairs, and DC‐50 plots were constructed. Selectivity pathway plots were also constructed and different regimes were established for selective and exclusive separations. Importantly, selective displacement was found to be conserved for multiple protein pairs, demonstrating the technique to be applicable for a range of protein systems. Although chemically selective displacers were able to separate protein pairs that had similar retention in ion exchange but different surface hydrophobicities, they were not able to distinguish protein pairs with similar surface hydrophobicities. This corroborates that displacer‐protein hydrophobic interactions play an important role for this class of selective displacers. Important functional group moieties were established and efficient displacers were identified. These results demonstrate that the design of chemically selective displacers requires a delicate balance between the abilities to displace proteins from the resin and to bind to a selected protein. The use of robotic screening of displacers will enable the extension of chemically selective displacement chromatography beyond hydrophobic displacer‐protein interactions to other secondary interactions and more selective displacement systems. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009