Difference between revisions of "Journal:Universal LIMS-based platform for the automated processing of cell-based assays"
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|Full article title||Universal LIMS-based platform for the automated processing of cell-based assays|
|Journal||Current Directions in Biomedical Engineering|
|Author(s)||Schmieder, Florian; Polk, Christoph; Gottlöber, Felix; Schöps, Patrick; Sonntag, Frank; Deuse, Ronny; Jede, Aline; Petzold, Thomas|
|Author affiliation(s)||Fraunhofer Institute for Material and Beam Technology IWS, qualitype GmbH|
|Primary contact||Email: florian dot schmieder at iws dot fraunhofer dot de|
|Volume and issue||5(1)|
|Distribution license||Creative Commons Attribution 4.0 International|
Nowadays, cell-based assays are an elementary tool for diagnostics, animal-free substance testing, and basic research. Depending on the application, the spectrum ranges from simple static cell cultures in microtiter plates to dynamic co-cultures in complex micro-physiological systems (organ-on-a-chip). Depending on the complexity of the assay, numerous working steps have to be performed and the data from different analysis systems have to be processed, combined, and documented. A universal platform has been developed for the automated handling of cell-based assays, which combines a laboratory information management system (LIMS) with a laboratory execution system (LES), a universal laboratory automation platform and established laboratory equipment. The LIMS handles the administration of all laboratory-relevant information, the planning, control, and monitoring of laboratory processes, as well as the direct and qualified processing of raw data. Using a kidney-on-a-chip system as an example, the realization of complex cell-based assays for the animal-free characterization of the toxicity of different antibiotics will be demonstrated. In the kidney-on-a-chip system, the artificial proximal tubular barrier was formed by seeding human immortalized proximal tubule cells (RPTEC) and human blood outgrowth endothelial cells (BOEC) on ThinCert membranes. Transepithelial electrical resistance (TEER) was measured daily to evaluate the barrier function of the cellular layers. Fluid handling and TEER measurements were performed using a laboratory automation platform that communicates directly with the LIMS. The LES supported laboratory assistants in executing the manual handling steps of the experiments.
Keywords: LIMS, LES, SiLA, cell based assay, lab automation
Introduction: The challenge to automate cell-based assays
Cell-based assays are nowadays widely used in drug discovery , personalized medicine [2,3], and basic research. This is due to the fact that cell sources like immortalized cell lines and iPS derived cells  offer a new range of possibilities regarding the assay sensitivity and reproducibility. Moreover, these cell sources could be harvested and cultivated as donor-specific, resulting in a wide range of patient-specific assay options. As such, many clinical researchers are developing cell-based assays to predict drug-specific interactions in vitro. In many therapeutic schemes, interactions of drugs with kidney-specific cells of the tubular and/or glomerular compartment, as well as the disruption of the kidney barriers formed by those cells, are of major interest.  During the past decade, many steps of assay management, including media exchange and online monitoring via imaging, have been automated using laboratory automation platforms. [6,7] Nevertheless, these assays contain a multitude of steps, including initial cell seeding, supplementation, and measurement, which are executed manually. This could lead to a multitude of problems, particularly if during all the steps data integrity is not adequately considered. Therefore, laboratory informatics is needed to translate the tools of information technology into practical science by managing electronic records to optimize laboratory operations. Multiple systems may fulfill these requirements, including laboratory information management systems (LIMS) and scientific data management systems (SDMS).  Based on a nephrotoxicity assay, we will show how show how using a LIMS to integrate manual and automated workflows and complex datasets of different sources solves those issues.
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