PMID- 34387397
OWN - NLM
STAT- MEDLINE
DCOM- 20211104
LR  - 20211104
IS  - 1860-7314 (Electronic)
IS  - 1860-6768 (Linking)
VI  - 16
IP  - 11
DP  - 2021 Nov
TI  - Optimization of muscle cell culture media using nonlinear design of experiments.
PG  - e2100228
LID - 10.1002/biot.202100228 [doi]
AB  - Optimizing media for biological processes, such as those used in tissue 
      engineering and cultivated meat production, is difficult due to the extensive 
      experimentation required, number of media components, nonlinear and interactive 
      responses, and the number of conflicting design objectives. Here we demonstrate 
      the capacity of a nonlinear design-of-experiments (DOE) method to predict optimal 
      media conditions in fewer experiments than a traditional DOE. The approach is 
      based on a hybridization of a coordinate search for local optimization with 
      dynamically adjusted search spaces and a global search method utilizing a 
      truncated genetic algorithm using radial basis functions to store and model prior 
      knowledge. Using this method, we were able to reduce the cost of muscle cell 
      proliferation media while maintaining cell growth 48 h after seeding using 30 
      common components of typical commercial growth medium in fewer experiments than a 
      traditional DOE (70 vs. 103). While we clearly demonstrated that the experimental 
      optimization algorithm significantly outperforms conventional DOE, due to the 
      choice of a 48 h growth assay weighted by medium cost as an objective function, 
      these findings were limited to performance at a single passage, and did not 
      generalize to growth over multiple passages. This underscores the importance of 
      choosing objective functions that align well with process goals.
CI  - (c) 2021 Wiley-VCH GmbH.
FAU - Cosenza, Zachary
AU  - Cosenza Z
AUID- ORCID: 0000-0002-3944-7948
AD  - Department of Chemical Engineering, University of California, Davis, California, 
      USA.
FAU - Block, David E
AU  - Block DE
AD  - Department of Viticulture and Enology, University of California, Davis, 
      California, USA.
FAU - Baar, Keith
AU  - Baar K
AD  - Departments of Neurobiology, Physiology and Behavior and Physiology and Membrane 
      Biology, University of California, Davis, California, USA.
LA  - eng
PT  - Journal Article
DEP - 20210902
PL  - Germany
TA  - Biotechnol J
JT  - Biotechnology journal
JID - 101265833
RN  - 0 (Culture Media)
SB  - IM
MH  - *Algorithms
MH  - Cell Culture Techniques
MH  - Culture Media
MH  - Muscles
MH  - *Research Design
OTO - NOTNLM
OT  - cultured meat, doe
OT  - dycors, machine learning, media optimization
EDAT- 2021/08/14 06:00
MHDA- 2021/11/05 06:00
CRDT- 2021/08/13 08:51
PHST- 2021/08/10 00:00 [revised]
PHST- 2021/04/29 00:00 [received]
PHST- 2021/08/11 00:00 [accepted]
PHST- 2021/08/14 06:00 [pubmed]
PHST- 2021/11/05 06:00 [medline]
PHST- 2021/08/13 08:51 [entrez]
AID - 10.1002/biot.202100228 [doi]
PST - ppublish
SO  - Biotechnol J. 2021 Nov;16(11):e2100228. doi: 10.1002/biot.202100228. Epub 2021 
      Sep 2.