Protein formulation through automated screening of pH and buffer conditions, using the Robotein® high throughput facility

Author(s):  
Ruth Kellner ◽  
Romain Malempré ◽  
Julie Vandenameele ◽  
Alain Brans ◽  
Anne-Françoise Hennen ◽  
...  
2020 ◽  
Author(s):  
Alexandra Lubin ◽  
Jason Otterstrom ◽  
Yvette Hoade ◽  
Ivana Bjedov ◽  
Eleanor Stead ◽  
...  

AbstractZebrafish provide a unique opportunity for drug screening in living animals, with the fast developing, transparent embryos allowing for relatively high throughput, microscopy-based screens. However, the limited availability of rapid, flexible imaging and analysis platforms has limited the use of zebrafish in drug screens. We have developed a easy-to-use, customisable automated screening procedure suitable for high-throughput phenotype-based screens of live zebrafish. We utilised the WiScan®Hermes High Content Imaging System to rapidly acquire brightfield and fluorescent images of embryos, and the WiSoft®Athena Zebrafish Application for analysis, which harnesses an Artificial Intelligence-driven algorithm to automatically detect fish in brightfield images, identify anatomical structures, partition the animal into regions, and exclusively select the desired side-oriented fish. Our initial validation combined structural analysis with fluorescence images to enumerate GFP-tagged haematopoietic stem and progenitor cells in the tails of embryos, which correlated with manual counts. We further validated this system to assess the effects of genetic mutations and x-ray irradiation in high content using a wide range of assays. Further, we performed simultaneous analysis of multiple cell types using dual fluorophores in high throughput. In summary, we demonstrate a broadly applicable and rapidly customisable platform for high content screening in zebrafish.


2002 ◽  
Vol 30 (4) ◽  
pp. 794-797 ◽  
Author(s):  
S. Wilson ◽  
S. Howell

The diagnostics industry is constantly under pressure to bring innovation quicker to market and so the impetus to speed up product-development cycle times becomes greater. There are a number of steps in the product-development cycle where the application of high-throughput screening can help. In the case of lateral-flow immunodiagnostics the selection of antibody reagents is paramount. In particular, rapid identification of antibody pairs that are able to ‘sandwich’ around the target antigen is required. One screen that has been applied successfully is the use of surface plasmon resonance biosensors like Biacore®. Using such a system one can evaluate over 400 antibody pairings in under 5 days. Conventional approaches to screen this number of antibody pairs would take many months. Other automated screening systems like DELFIA® can be used in processing the vast amount of tests required for clinical trials. In addition, the use of robotics to automate routine product testing can be used to shorten the product-development cycle.


2018 ◽  
Vol 23 (6) ◽  
pp. 516-528 ◽  
Author(s):  
Yangjie Wei ◽  
Nicholas R. Larson ◽  
Siva K. Angalakurthi ◽  
C. Russell Middaugh

The goal of protein formulation development is to identify optimal conditions for long-term storage. Certain commercial conditions (e.g., high protein concentration or turbid adjuvanted samples) impart additional challenges to biophysical characterization. Formulation screening studies for such conditions are usually performed using a simplified format in which the target protein is studied at a low concentration in a clear solution. The failure of study conditions to model the actual formulation environment may cause a loss of ability to identify the optimal condition for target proteins in their final commercial formulations. In this study, we utilized a steady-state/lifetime fluorescence-based, high-throughput platform to develop a general workflow for direct formulation optimization under analytically challenging but commercially relevant conditions. A high-concentration monoclonal antibody (mAb) and an Alhydrogel-adjuvanted antigen were investigated. A large discrepancy in screening results was observed for both proteins under these two different conditions (simplified and commercially relevant). This study demonstrates the feasibility of using a steady-state/lifetime fluorescence plate reader for direct optimization of challenging formulation conditions and highlights the importance of performing formulation optimization under commercially relevant conditions.


2008 ◽  
Vol 26 (2) ◽  
pp. 296-305 ◽  
Author(s):  
David H. Johnson ◽  
Arun Parupudi ◽  
W. William Wilson ◽  
Lawrence J. DeLucas

2018 ◽  
Vol 10 (9) ◽  
pp. 539-548 ◽  
Author(s):  
Ivan de Carlos Cáceres ◽  
Daniel A. Porto ◽  
Ivan Gallotta ◽  
Pamela Santonicola ◽  
Josue Rodríguez-Cordero ◽  
...  

A fully automated high-throughput screen usingC. elegansto investigate genetic mechanisms affecting spinal muscular atrophy (SMA).


2007 ◽  
Vol 12 (5) ◽  
pp. 715-723 ◽  
Author(s):  
Stéphane Emond ◽  
Gabrielle Potocki-Véronèse ◽  
Philippe Mondon ◽  
Khalil Bouayadi ◽  
Hakim Kharrat ◽  
...  

This article describes the design and validation of a general procedure for the high-throughput isolation of amylosucrase variants displaying higher thermostability or increased resistance to organic solvents. This procedure consists of 2 successive steps: an in vivo selection that eliminates inactive variants followed by automated screening of active variants to isolate mutants displaying enhanced features. The authors chose an Escherichia coli expression vector, allowing a high production rate of the recombinant enzyme in miniaturized culture conditions. The screening assay was validated by minimizing variability for various parameters of the protocol, especially bacterial growth and protein production in cultures in 96-well microplates. Recombinant amylosucrase production was normalized by decreasing the coefficient of variance from 27% to 12.5%. Selective screening conditions were defined to select variants displaying higher thermostability or increased resistance to organic solvents. A first-generation amylosucrase variant library, constructed by random mutagenesis, was subjected to this procedure, yielding a mutant displaying a 25-fold increased stability at 50 °C compared to the parental wild-type enzyme. ( Journal of Biomolecular Screening 2007:715-723)


2016 ◽  
Vol 22 (1) ◽  
pp. 94-101 ◽  
Author(s):  
John R. Veloria ◽  
Ashwini K. Devkota ◽  
Eun Jeong Cho ◽  
Kevin N. Dalby

Apyrase is a calcium-activated enzyme that catalyzes the conversion of adenosine triphosphate (ATP) to adenosine diphosphate (ADP), adenosine monophosphate (AMP), and Pi. It is currently used in studies involving cancer and platelet aggregation in humans, as well as herbicide resistance in plants. Inhibitors of apyrase are being investigated for their use to suppress tumors and combat herbicide resistance. Only a few inhibitors of apyrase have been reported, many of which were identified through automated screening using a 96-well plate format and colorimetric phosphate detection. However, these screens have had limitations, including large volumes, inconsistent reproducibility, high incidence of false hits, and lack of higher-throughput compatibility. A luciferin/luciferase-based detection system has been reported to examine potential inhibitors of apyrase; however, these reactions were performed in tubes with the assay completion in seconds, which necessitate the development of a high-throughput screening (HTS)–compatible format for screening. Therefore, a more cost-effective biochemical assay that improved the limitations of the previous assay formats using a commercially available luminescence-based detection system was developed. This new robust mix-and-read platform incorporates a low-volume luminescence-based protocol, formatted for use in 384-well microplates. This new format provides a simple and cost-effective method to screen for apyrase inhibitors and will facilitate larger HTS efforts to identify potent inhibitors of apyrase.


2014 ◽  
Vol 99 ◽  
pp. 51-58 ◽  
Author(s):  
Andrea Allmendinger ◽  
Le-Ha Dieu ◽  
Stefan Fischer ◽  
Robert Mueller ◽  
Hanns-Christian Mahler ◽  
...  

2016 ◽  
Author(s):  
Liye He ◽  
Evgeny Kulesskiy ◽  
Jani Saarela ◽  
Laura Turunen ◽  
Krister Wennerberg ◽  
...  

AbstractGene products or pathways that are aberrantly activated in cancer but not in normal tissue hold great promises for being effective and safe anticancer therapeutic targets. Many targeted drugs have entered clinical trials but so far showed limited efficacy mostly due to variability in treatment responses and often rapidly emerging resistance. Towards more effective treatment options, we will critically need multi-targeted drugs or drug combinations, which selectively inhibit the cancer cells and block distinct escape mechanisms for the cells to become resistant. Functional profiling of drug combinations requires careful experimental design and robust data analysis approaches. At the Institute for Molecular Medicine Finland (FIMM), we have developed an experimental-computational pipeline for high-throughput screening of drug combination effects in cancer cells. The integration of automated screening techniques with advanced synergy scoring tools allows for efficient and reliable detection of synergistic drug interactions within a specific window of concentrations, hence accelerating the identification of potential drug combinations for further confirmatory studies.


Sign in / Sign up

Export Citation Format

Share Document