Back

The metabolome and proteome of stem cell-derived human primordial germ cells: a multi-omics approach

Vaz Santos, M.; Schomakers, B. V.; Llobet Ayala, M.; Jamali, T.; van Weeghel, M.; van Pelt, A. M. M.; Mulder, C. L.; Hamer, G.

2026-04-02 developmental biology
10.64898/2026.03.31.715517 bioRxiv
Show abstract

Primordial germ cells (PGCs) are the population of cells that, in the human embryo, specify day 12 post-fertilization, and form the precursor cells for the future egg or sperm cells. Although in vitro differentiation of PGCs from human stem cells has been achieved, these primordial germ cell-like cells (hPGCLCs) fail to further mature. The reason for this is unclear. Previous studies in mice revealed that several specific metabolic changes occur during the maturation of these cells, which are essential for their developmental progress. However, very little is known about the metabolic profile of human primordial germ cells. In the severe scarcity of human PGCs, hPGCLCs serve as a research model to study PGC formation. To investigate this, we differentiated hPGCLCs using induced-pluripotent stem cells and performed a mass spectrometry analysis to establish their metabolome and proteome. These cells revealed distinct metabolic profile, with changes particularly at the proteome level. This included a shift between canonical and non-canonical citric acid cycle in hPGCLC, downregulation of late-stage glycolysis and reduction of nucleotide de novo synthesis. By providing an integrative map of these metabolic networks, we aim to provide insight on the influence of metabolism on human PGC development that could help improve methods for in vitro differentiation and maturation hPGCLCs.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 0.1%
18.8%
2
Scientific Reports
3102 papers in training set
Top 9%
8.5%
3
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 0.8%
7.3%
4
Cell Death Discovery
51 papers in training set
Top 0.1%
6.4%
5
International Journal of Molecular Sciences
453 papers in training set
Top 3%
3.6%
6
Stem Cells
28 papers in training set
Top 0.1%
3.1%
7
Molecular & Cellular Proteomics
158 papers in training set
Top 0.7%
2.9%
50% of probability mass above
8
iScience
1063 papers in training set
Top 8%
2.6%
9
Stem Cell Reports
118 papers in training set
Top 0.3%
2.4%
10
PLOS ONE
4510 papers in training set
Top 46%
2.4%
11
Cells
232 papers in training set
Top 1%
2.1%
12
Journal of Genetics and Genomics
36 papers in training set
Top 0.9%
1.7%
13
Molecular Psychiatry
242 papers in training set
Top 2%
1.7%
14
Stem Cell Research & Therapy
30 papers in training set
Top 0.5%
1.3%
15
Biology Open
130 papers in training set
Top 1%
1.3%
16
Communications Biology
886 papers in training set
Top 12%
1.3%
17
Molecular Omics
21 papers in training set
Top 0.1%
1.3%
18
Science China Life Sciences
26 papers in training set
Top 1%
1.2%
19
Epigenetics & Chromatin
42 papers in training set
Top 0.2%
1.2%
20
Biochemistry and Biophysics Reports
28 papers in training set
Top 0.9%
1.1%
21
Nature Communications
4913 papers in training set
Top 59%
0.9%
22
Developmental Biology
134 papers in training set
Top 2%
0.9%
23
Open Biology
95 papers in training set
Top 2%
0.8%
24
eLife
5422 papers in training set
Top 55%
0.8%
25
Stem Cell Research
16 papers in training set
Top 0.1%
0.8%
26
npj Systems Biology and Applications
99 papers in training set
Top 2%
0.8%
27
Cell Discovery
54 papers in training set
Top 5%
0.8%
28
National Science Review
22 papers in training set
Top 2%
0.8%
29
Analytical Chemistry
205 papers in training set
Top 2%
0.8%
30
Journal of Molecular Cell Biology
21 papers in training set
Top 0.8%
0.7%