Back

Metabolic profiling of cultured erythroblast for the production of transfusion-ready cultured red blood cells

Gallego-Murillo, J. S.; van Lakwijk, I.; Yagci, N.; Reisz, J. A.; Pozo Garcia, V.; D'Alessandro, A.; van der Wielen, L. A. M.; von Lindern, M.; Wahl, S. A.; Van den akker, E.

2026-06-02 cell biology
10.64898/2026.06.02.729469 bioRxiv
Show abstract

Transfusion-ready red blood cells can be cultured ex vivo from hematopoietic progenitors. Despite its promising outlook, a cultured transfusion unit cannot be produced at competitive costs. Large media volumes are required to maintain a maximum erythroblast cell density of 1-2.106 cells/mL during the erythroblast proliferation stage. To identify the origin of the cell density limitation, we investigated the cellular support and metabolomic phenotype using different media formulations and feeding regimens. Media that were exposed to an increasing density of erythroblasts (termed spent media) displayed a proportional decrease in erythroblast proliferation support. A 1:1 combination of spent media with fresh media (not previously exposed to the cells) restored growth for all tested conditions. Filtering both fresh and spent media with a 3 kDa cut-off filter, and subsequent recombination of the two fractions, indicated that exhaustion of the small molecular weight fraction (<3 kDa) was primarily responsible for growth limitation. We performed targeted and untargeted metabolomics analysis, for both the intra- and extracellular compartments, following seeding in fresh medium (12, 24, 36 h). We observed degradation of nucleosides, depletion of amino acids, and a decrease in intermediates of the glutathione-ascorbate, {gamma}-glutamyl and cysteine-methionine cycles. The latter compounds suggested an increase in oxidative stress in high density erythroblast cultures. Elimination of nucleosides from the medium led to a lower accumulation of purine salvage intermediates, and a 30% increase in cell productivity. In conclusion, we demonstrate that high-density erythroid cultures are subject to metabolic stress, defining critical constraints for scalable culture expansion.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Cytotherapy
14 papers in training set
Top 0.1%
10.6%
2
PLOS ONE
4510 papers in training set
Top 16%
10.6%
3
Scientific Reports
3102 papers in training set
Top 15%
6.7%
4
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 1%
4.4%
5
Metabolites
50 papers in training set
Top 0.2%
3.8%
6
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 0.5%
3.8%
7
Blood Advances
54 papers in training set
Top 0.4%
3.8%
8
Biotechnology and Bioengineering
49 papers in training set
Top 0.3%
2.7%
9
International Journal of Molecular Sciences
453 papers in training set
Top 5%
2.0%
10
Cells
232 papers in training set
Top 2%
1.9%
11
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 3%
1.8%
50% of probability mass above
12
Biomedicines
66 papers in training set
Top 0.7%
1.8%
13
Communications Biology
886 papers in training set
Top 10%
1.6%
14
Stem Cell Research & Therapy
30 papers in training set
Top 0.4%
1.4%
15
Stem Cells
28 papers in training set
Top 0.3%
1.3%
16
Journal of Thrombosis and Haemostasis
28 papers in training set
Top 0.5%
1.3%
17
BMC Genomics
328 papers in training set
Top 4%
1.0%
18
Stem Cell Research
16 papers in training set
Top 0.1%
1.0%
19
Food Research International
11 papers in training set
Top 0.2%
1.0%
20
PROTEOMICS
35 papers in training set
Top 0.6%
0.9%
21
Transfusion
18 papers in training set
Top 0.1%
0.9%
22
Cytometry Part A
30 papers in training set
Top 0.3%
0.9%
23
Stem Cells Translational Medicine
11 papers in training set
Top 0.1%
0.8%
24
Mitochondrion
11 papers in training set
Top 0.1%
0.8%
25
Antioxidants
25 papers in training set
Top 0.5%
0.8%
26
iScience
1063 papers in training set
Top 29%
0.8%
27
Biomolecules
95 papers in training set
Top 2%
0.8%
28
Biochemical and Biophysical Research Communications
78 papers in training set
Top 2%
0.8%
29
eLife
5422 papers in training set
Top 58%
0.8%
30
Clinical Chemistry and Laboratory Medicine (CCLM)
12 papers in training set
Top 0.3%
0.8%