Back

Heritable non-genetic phenotypes are enriched for stress responses as a form of bet hedging

Grissom, S.; Dixon, Z.; Singh, A.; Blenner, M.

2024-10-18 genomics
10.1101/2024.10.15.618459 bioRxiv
Show abstract

During manufacturing batches, Chinese hamster ovary (CHO) cells encounter critical levels of environmental stressors such as ammonia, lactate, and osmolality accumulation that can significantly reduce cell health and productivity. It is therefore crucial that stress adaptation and resistance be factored into cell line development (CLD). In this study, we employee population-based transcriptomic and differential gene expression analysis on stress-induced CHO cells to identify biomarkers displaying both heritable and stress-responsive properties. Using this workflow, 199 genes displayed transcriptional variability characteristic of a bistable system that formed four network communities of co-fluctuating genes. These communities were enriched in genes related to the regulation of apoptotic processes and gene expression/metabolic pathways. Seven genes were identified as promising biomarkers for engineering a stress-resistant phenotype. Genetic engineering methods may be employed in the future to bias clonal populations for higher stress tolerance to manufacturing stress, therefore increasing cell health and productivity in at-scale bioreactors.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Biotechnology and Bioengineering
49 papers in training set
Top 0.1%
40.6%
2
Metabolic Engineering
68 papers in training set
Top 0.1%
7.0%
3
Computational and Structural Biotechnology Journal
216 papers in training set
Top 0.7%
5.0%
50% of probability mass above
4
Frontiers in Microbiology
375 papers in training set
Top 2%
4.3%
5
Scientific Reports
3102 papers in training set
Top 31%
4.0%
6
PLOS ONE
4510 papers in training set
Top 38%
3.7%
7
BMC Genomics
328 papers in training set
Top 0.7%
3.7%
8
mSystems
361 papers in training set
Top 4%
2.4%
9
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.1%
10
Frontiers in Plant Science
240 papers in training set
Top 3%
1.8%
11
Frontiers in Genetics
197 papers in training set
Top 5%
1.7%
12
PLOS Computational Biology
1633 papers in training set
Top 16%
1.7%
13
Applied and Environmental Microbiology
301 papers in training set
Top 2%
1.5%
14
Microbial Cell Factories
22 papers in training set
Top 0.3%
1.4%
15
Nature Communications
4913 papers in training set
Top 54%
1.4%
16
Microbiology Spectrum
435 papers in training set
Top 4%
1.3%
17
Algal Research
20 papers in training set
Top 0.2%
0.9%
18
Physiological Genomics
15 papers in training set
Top 0.4%
0.7%
19
Environment International
42 papers in training set
Top 1%
0.7%
20
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.7%
21
iScience
1063 papers in training set
Top 36%
0.7%
22
npj Biofilms and Microbiomes
56 papers in training set
Top 2%
0.5%
23
Molecular Omics
21 papers in training set
Top 0.6%
0.5%
24
npj Systems Biology and Applications
99 papers in training set
Top 3%
0.5%
25
Bioactive Materials
18 papers in training set
Top 0.9%
0.5%