Back

Transcriptome comparison between the cultured and in vivo Chick Primordial Germ Cells by SMART-seq-based single cell RNA sequencing

Hayashi, Y.; Doi, A.; Iikawa, H.; Kimijima, H.; Suzuki, Y.; Kanai, A.; Hirakawa, H.; Saito, D.

2025-07-03 developmental biology
10.1101/2025.07.02.662725 bioRxiv
Show abstract

Primordial germ cells (PGC), the precursors of the germline, have unique cellular characteristics to undergo long-distance migration to the embryonic gonads and have the potential to differentiate into somatic cells. Among the animal models studying PGC development, the chicken PGCs are an ideal model, since it is a rare model in which long-term PGC cultivation is applicable. Although the cultural applicability of chicken PGC makes it attractive for revealing the PGC character and its developmental processes, some differences from endogenous PGCs are known, such as the remarkable up-regulation of cell proliferation and a lesser ability to reach the gonads. Understanding these differences at the molecular level is crucial. To this end, we first performed SMART-seq-based single-cell RNA sequencing to compare transcriptomes between endogenous PGCs and cultivated PGCs. Our results revealed that PGC cultivation causes a shift from a MYC-dependent to a MYCN-dependent gene regulatory network in PGCs, suggesting that this reprogramming contributes to the acquisition of proliferation ability and stem cell characteristics in cultivated PGCs. Additionally, our results suggest that the MYCN-dependent gene regulatory network increases the risk of somatic differentiation, particularly in neural fate, in cultivated PGCs. In addition, our transcriptome analysis identified new cell populations that show molecular character as intermediate cell states between germline and pluripotent cells from the early embryonic stage. Thus, our study provides fundamental molecular information to understand both the effects of PGC cultivation and the developmental process of chicken PGCs.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Science China Life Sciences
26 papers in training set
Top 0.1%
12.3%
2
Scientific Reports
3102 papers in training set
Top 7%
10.1%
3
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 0.3%
8.4%
4
Development, Growth & Differentiation
12 papers in training set
Top 0.1%
8.4%
5
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 1%
6.3%
6
Journal of Genetics and Genomics
36 papers in training set
Top 0.2%
4.8%
50% of probability mass above
7
Developmental Biology
134 papers in training set
Top 0.7%
4.3%
8
PLOS ONE
4510 papers in training set
Top 35%
4.2%
9
eLife
5422 papers in training set
Top 29%
3.1%
10
iScience
1063 papers in training set
Top 7%
2.7%
11
Experimental Cell Research
24 papers in training set
Top 0.1%
2.4%
12
International Journal of Molecular Sciences
453 papers in training set
Top 5%
2.1%
13
Biochemical and Biophysical Research Communications
78 papers in training set
Top 0.3%
2.1%
14
Cell Proliferation
12 papers in training set
Top 0.1%
1.7%
15
Frontiers in Genetics
197 papers in training set
Top 6%
1.5%
16
Cell Discovery
54 papers in training set
Top 3%
1.5%
17
Acta Biochimica et Biophysica Sinica
19 papers in training set
Top 0.5%
1.2%
18
Developmental Dynamics
50 papers in training set
Top 0.5%
1.2%
19
Cell Death Discovery
51 papers in training set
Top 1.0%
0.9%
20
Genes to Cells
23 papers in training set
Top 0.3%
0.8%
21
The FASEB Journal
175 papers in training set
Top 3%
0.8%
22
Cell & Bioscience
14 papers in training set
Top 0.1%
0.8%
23
Biochemistry and Biophysics Reports
28 papers in training set
Top 2%
0.7%
24
Journal of Molecular Cell Biology
21 papers in training set
Top 0.8%
0.7%
25
Genomics
60 papers in training set
Top 3%
0.7%
26
BMC Genomics
328 papers in training set
Top 6%
0.7%
27
Gene
41 papers in training set
Top 2%
0.7%
28
Biology Open
130 papers in training set
Top 3%
0.7%
29
Animals
20 papers in training set
Top 1%
0.7%
30
Development
440 papers in training set
Top 4%
0.6%