Back

Late-Stage Large Extracellular Vesicles Reprogram CHO Cell Metabolism in a Glutamine-Dependent Mode and Promote Antibody-Productivity to Cell-Growth Tradeoff

Nguyen, H.;Malinov, N.;Puttagunta, A.;Lee, K.;Papoutsakis, E.

2026-06-29 Cell Biology
10.64898/2026.06.28.735077 bioRxiv
Show abstract

Extracellular vesicles (EVs) are mediators of intercellular communication, yet their impact on Chinese Hamster Ovary (CHO) cell physiology and bioprocess performance remains poorly understood. Here, we investigated whether small EVs (sEVs) and large EVs (LgEVs) that accumulate during fed-batch and perfusion cultures modulate CHO cell growth, metabolism, apoptosis, and monoclonal antibody (mAb) production. EVs isolated from early- and late-stage cultures were added to fresh CHO cultures grown with or without glutamine supplementation. Only LgEVs had a significant impact. Late-stage LgEVs markedly altered CHO-cell behavior, reducing cell proliferation, increasing apoptosis under glutamine-limited conditions, and substantially enhancing mAb productivity in a dose-dependent manner. Glutamine supplementation largely alleviated the growth-inhibitory and pro-apoptotic effects of LgEVs while preserving their positive impact on productivity, suggesting that glutamine decouples EV-mediated stress from productivity enhancement. Metabolic analyses revealed increased glucose consumption, a glutamine-dependent shift between glycine and alanine overflow metabolism, and remodeling of amino-acid utilization. Metabolic flux analysis further demonstrated enhanced glycolytic overflow and increased reliance on amino acid-supported anaplerosis. Conversely, selective removal of LgEVs from perfusion medium significantly improved cell expansion without reducing antibody production, supporting an inhibitory role for late-stage LgEVs. These LgEVs were enriched in let-7 family miRNAs and miR-21, consistent with RNAseq analyses demonstrating stress-associated enrichment of these miRNAs in CHO EVs and with functional studies showing that let-7a and miR-21reduce CHO-cell growth. Together, these observations suggest that selective miRNA loading contributes to the growth, metabolic, and productivity phenotypes elicited by late-stage LgEVs. Our findings identify LgEVs as endogenous regulators of CHO-cell physiology and potential targets for optimizing high-density fed-batch and perfusion biomanufacturing processes. HighlightsO_LIEndogenous late-stage Large Extracellular Vesicles (LgEVs) reduce CHO cell growth but boost specific mAb productivity. C_LIO_LIGlutamine supplementation rescues LgEV-mediated growth inhibition and apoptosis. C_LIO_LIMetabolic Flux Analysis (MFA) based on the dynamic behavior of amino acid and other metabolite and substrate concentrations reveals the pyruvate node as a metabolic bottleneck and the associated lactate overflow metabolism as resulting from LgEV exposure. C_LIO_LIStress-associated let-7 and miR-21 microRNAs are highly enriched on a per-EV basis in late-stage LgEVs. C_LIO_LISelective removal of LgEVs improves perfusion cell growth without impacting antibody titer. C_LI

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Metabolic Engineering
75 papers in training set
Top 0.1%
28.1%
2
Scientific Reports
3612 papers in training set
Top 11%
6.6%
3
Biotechnology and Bioengineering
53 papers in training set
Top 0.1%
6.6%
4
Advanced Science
286 papers in training set
Top 0.9%
5.8%
5
Journal of Extracellular Biology
22 papers in training set
Top 0.1%
5.8%
50% of probability mass above
6
Nature Communications
5641 papers in training set
Top 31%
4.3%
7
Biotechnology Journal
11 papers in training set
Top 0.1%
3.4%
8
iScience
1154 papers in training set
Top 8%
2.9%
9
Journal of Extracellular Vesicles
55 papers in training set
Top 0.2%
2.8%
10
Communications Biology
993 papers in training set
Top 13%
1.8%
11
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 1%
1.8%
12
mSystems
394 papers in training set
Top 4%
1.6%
13
Cells
249 papers in training set
Top 3%
1.5%
14
PLOS ONE
5266 papers in training set
Top 52%
1.4%
15
Small
78 papers in training set
Top 1%
1.2%
16
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 35%
1.1%
17
Cell Communication and Signaling
51 papers in training set
Top 1.0%
1.1%
18
Lab on a Chip
96 papers in training set
Top 0.9%
1.0%
19
eLife
5828 papers in training set
Top 63%
0.9%
20
Journal of Biological Engineering
12 papers in training set
Top 0.1%
0.6%
21
Science Advances
1243 papers in training set
Top 32%
0.6%
22
The FASEB Journal
194 papers in training set
Top 6%
0.6%
23
Analytical Chemistry
218 papers in training set
Top 2%
0.6%
24
International Journal of Molecular Sciences
494 papers in training set
Top 16%
0.6%
25
Molecular Biology of the Cell
311 papers in training set
Top 4%
0.5%
26
Nature Metabolism
69 papers in training set
Top 2%
0.5%
27
PLOS Computational Biology
1863 papers in training set
Top 23%
0.5%
28
Advanced Materials Technologies
29 papers in training set
Top 0.6%
0.5%
29
Journal of Biotechnology
11 papers in training set
Top 0.3%
0.5%
30
npj Systems Biology and Applications
125 papers in training set
Top 3%
0.5%