scholarly journals High‐Throughput Analyses of Glycans, Glycosites, and Intact Glycopeptides Using C4‐and C18/MAX‐Tips and Liquid Handling System

2021 ◽  
Vol 1 (7) ◽  
Author(s):  
Shao‐Yung Chen ◽  
David J. Clark ◽  
Hui Zhang
Keyword(s):  
High Throughput ◽  
Handling System ◽  
Liquid Handling

scholarly journals High-throughput Quant-iT PicoGreen assay using an automated liquid handling system

BioTechniques ◽  
2019 ◽  
Vol 66 (6) ◽  
pp. 290-294 ◽  
Author(s):  
Kay Anantanawat ◽  
Nicola Pitsch ◽  
Caroline Fromont ◽  
Caroline Janitz
Keyword(s):  
High Throughput ◽  
Handling System ◽  
Liquid Handling ◽  
Picogreen Assay

scholarly journals Fully Automated Peptide Mapping Protocol for Multi-Attribute Method by Liquid Chromatography–Tandem Mass Spectroscopy with a High-Throughput Robotic Liquid Handling System

2020 ◽  
Author(s):  
Chen Qian ◽  
Ben Niu ◽  
Rod Brian Jimenez ◽  
Jihong Wang ◽  
Methal Albarghouthi ◽  
...  
Keyword(s):  
Liquid Chromatography ◽  
Mass Spectroscopy ◽  
High Throughput ◽  
Peptide Mapping ◽  
Tandem Mass ◽  
Handling System ◽  
Liquid Handling ◽  
Hands On ◽  
Liquid Chromatography Tandem Mass ◽  
Tandem Mass Spectroscopy

ABSTRACTThe multi-attribute method (MAM) based on liquid chromatography–tandem mass spectroscopy is emerging as a powerful tool to directly monitor multiple product quality attributes simultaneously. Preparation of samples for MAM, however, is labor intensive, involving protein denaturation, disulfide bond reduction, free cysteine alkylation, and enzymatic digestion steps, which require significant analyst hands-on time while limiting result turnaround. Such complexity can also render nontrivial variations across analysts and laboratories. We describe the development of a fully automated peptide mapping procedure with a high-throughput robotic liquid handling system to improve sample handling capability and outcome reproducibility while saving analyst hands-on time. The automated procedure is completely hands-free, and setup requires the analyst only to prenormalize the sample concentrations and load buffers and reagents at their designated positions on the robotic deck. The robotic liquid handler performs all the subsequent preparation steps and stores the digested samples on a chiller unit to await retrieval. The convenience and flexibility provided by this automated peptide mapping method provides substantial benefits over manual sample preparation protocols. The optimized, automated procedure showed good reproducibility and results that were comparable to those of the manual procedure with respect to sequence coverage, digestion completeness, and quantification of posttranslational modifications. With this increased throughput, coupled with fast MAM analysis, more comprehensive characterization can be achieved.

scholarly journals Assay Miniaturization for Ultra-High Throughput Screening of Combinatorial and Discrete Compound Libraries: A 9600-Well (0.2 Microliter) Assay System

1998 ◽  
Vol 3 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Kevin R. Oldenburg ◽  
Ji-Hu Zhang ◽  
Tongming Chen ◽  
Anthony Maffia ◽  
Karl F. Blom ◽  
...  
Keyword(s):  
High Throughput ◽  
Combinatorial Chemistry ◽  
Therapeutic Target ◽  
High Throughput Screening ◽  
Detection System ◽  
Screening System ◽  
Handling System ◽  
Liquid Handling ◽  
Compound Libraries ◽  
Plate Design

Combinatorial chemistry has opened a new realm of chemical entities in the search for novel therapeutics. Combinatorial chemistry is currently adding hundreds of thousands of compounds to similar numbers available from years of synthesis by medicinal chemistry. It is not unreasonable to expect that over the next several years, nearly a million compounds will be available for screening against each therapeutic target. The number of potential targets will also be increasing with the advances in genomics. With the increasing number of compounds to be screened against an increasing number of targets, it is becoming increasingly difficult and costly to obtain the required amounts of key biological material needed to screen these compounds. One obvious solution is to miniaturize the assays so that the biological reagent supply doesn't need to increase. To this end, we have developed an ultra-high throughput screening system comprised of a new plate design (9600-well), detection system, and liquid handling system. This new format is capable of performing assays in as little as 0.2 Al. The results obtained from this system compare favorably to those obtained in the standard 96-well format.

scholarly journals A fully automated pipeline for the dynamic at‐line morphology analysis of microscale Aspergillus cultivation

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Roman Jansen ◽  
Kira Küsters ◽  
Holger Morschett ◽  
Wolfgang Wiechert ◽  
Marco Oldiges
Keyword(s):  
Filamentous Fungi ◽  
High Throughput ◽  
Automated Image Analysis ◽  
Height Velocity ◽  
Pellet Size ◽  
Application Study ◽  
Liquid Handling ◽  
Morphology Analysis ◽  
Development And Utilization ◽  
Increasing Demand

Abstract Background Morphology, being one of the key factors influencing productivity of filamentous fungi, is of great interest during bioprocess development. With increasing demand of high-throughput phenotyping technologies for fungi due to the emergence of novel time-efficient genetic engineering technologies, workflows for automated liquid handling combined with high-throughput morphology analysis have to be developed. Results In this study, a protocol allowing for 48 parallel microbioreactor cultivations of Aspergillus carbonarius with non-invasive online signals of backscatter and dissolved oxygen was established. To handle the increased cultivation throughput, the utilized microbioreactor is integrated into a liquid handling platform. During cultivation of filamentous fungi, cell suspensions result in either viscous broths or form pellets with varying size throughout the process. Therefore, tailor-made liquid handling parameters such as aspiration/dispense height, velocity and mixing steps were optimized and validated. Development and utilization of a novel injection station enabled a workflow, where biomass samples are automatically transferred into a flow through chamber fixed under a light microscope. In combination with an automated image analysis concept, this enabled an automated morphology analysis pipeline. The workflow was tested in a first application study, where the projected biomass area was determined at two different cultivation temperatures and compared to the microbioreactor online signals. Conclusions A novel and robust workflow starting from microbioreactor cultivation, automated sample harvest and processing via liquid handling robots up to automated morphology analysis was developed. This protocol enables the determination of projected biomass areas for filamentous fungi in an automated and high-throughput manner. This measurement of morphology can be applied to describe overall pellet size distribution and heterogeneity.

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