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Tomasz Kostrzewski
Laboratory news
Pre-validated hepatic cells alleviate need for QC testing
Jan 10 2024
Organ-on-a-Chip (OOC) company CN Bio (Cambridge UK), a developer and manufacturer of single and multi-organ microphysiological systems has partnered with US-based LifeNet Health LifeSciences to supply validated primary human cells for use with CN Bio’s PhysioMimix® OOC range of MPS.
The partnership aims to provide ‘off-the-shelf’ access to well-characterised, MPS-validated hepatic cells to alleviate the need for researchers having to conduct resource-intensive validation studies and minimise the risk of failed experiments to increase workflow efficiency.
Tomasz Kostrzewski, PhD, Chief Scientific Officer at CN Bio, commented: “LifeNet Health and CN Bio share a commitment to helping researchers bring safer, more effective therapies to patients sooner, with no unnecessary animal testing.
“In our studies, LifeNet Health’s cells have consistently shown high success rates and we are confident this will lead to more reliable, reproducible results. Our partnership represents an important milestone for existing customers, alongside those looking to adopt OOC technology into their own labs.
“Validation of cells is a costly and laborious process, but one that is imperative for assay success. Harnessing our combined technical expertise and customer support, we can offer researchers a more complete solution to easily recreate our industry-leading liver models, removing the risk of failed experiments due to untested cells and the burden of in-house quality control testing – so that they can focus their efforts on new discoveries.”
Ed LeCluyse PhD, Chief Scientist, LifeNet Health LifeSciences, said: “This partnership represents a joint investment to set a new standard for cell quality across the industry, enabling customers across a broad range of market segments to realise the potential of OOC, without the need for costly in-house validation.”
“Our cells are fully characterised for quality and performance, to ensure they can perform within advanced platforms, to more effectively mimic in vivo biology.”
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