Literature DB >> 32975016

Localized Sampling Enables Monitoring of Cell State via Inline Electrospray Ionization Mass Spectrometry.

Mason A Chilmonczyk1,2, Gilad Doron2, Peter A Kottke1,2, Austin L Culberson1,2, Kelly Leguineche3, Robert E Guldberg2,3, Edwin M Horwitz4, Andrei G Fedorov1,2.   

Abstract

Nascent advanced therapies, including regenerative medicine and cell and gene therapies, rely on the production of cells in bioreactors that are highly heterogeneous in both space and time. Unfortunately, advanced therapies have failed to reach a wide patient population due to unreliable manufacturing processes that result in batch variability and cost prohibitive production. This can be attributed largely to a void in existing process analytical technologies (PATs) capable of characterizing the secreted critical quality attribute (CQA) biomolecules that correlate with the final product quality. The Dynamic Sampling Platform (DSP) is a PAT for cell bioreactor monitoring that can be coupled to a suite of sensor techniques to provide real-time feedback on spatial and temporal CQA content in situ. In this study, DSP is coupled with electrospray ionization mass spectrometry and direct-from-culture sampling to obtain measures of CQA content in bulk media and the cell microenvironment throughout the entire cell culture process (≈3 weeks). Post hoc analysis of this real-time data reveals that sampling from the microenvironment enables cell state monitoring (e.g., confluence, differentiation). These results demonstrate that an effective PAT should incorporate both spatial and temporal resolution to serve as an effective input for feedback control in biomanufacturing.
© 2020 Wiley-VCH GmbH.

Entities:  

Keywords:  cell manufacturing; cell state and quality attributes; in situ secretome analysis; online electrospray ionization mass spectrometry; real-time biomarker monitoring and discovery

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Year:  2020        PMID: 32975016      PMCID: PMC7940552          DOI: 10.1002/biot.202000277

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  30 in total

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