Back

Large scale production of human blastoids amenable to modeling blastocyst development and maternal-fetal crosstalk

Yu, L.; Ezashi, T.; Wei, Y.; Duan, J.; Logsdon, D.; Zhan, L.; Nahar, A.; Arteaga, C. P.; Liu, L.; Stobbe, C.; Katz-Jaffe, M.; Schoolcraft, W. B.; Wang, L.; Tan, T.; Hon, G. C.; Yuan, Y.; Wu, J.

2022-09-17 developmental biology
10.1101/2022.09.14.507946 bioRxiv
Show abstract

Recent advances in human blastoids generated from naive pluripotent stem cells have opened a new avenue for modelling early human development and implantation. Despite the success, however, existing protocols have several limitations, e.g., the use of custom-built microwell arrays impedes wide adoption by the research community, and mass production of human blastoids is hampered by low-output or low-efficiency methods. To address these issues, here we developed an optimized protocol based on commercially available microwell plates, which enabled efficient generation of high-fidelity human blastoids at a large scale. Leveraging on the improved protocol, we identified MAPK. PI3K/AKT and mTOR signaling pathways were activated in both blastoids and blastocyst, and discovered endometrial stromal effects in promoting trophoblast cell survival, proliferation and syncytialization during extended co-culture with blastoids. Our optimized protocol will facilitate broader use of human blastoids as an accessible, perturbable, scalable, tractable, and ethical model for human blastocysts.

Matching journals

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

1
Stem Cell Reports
○ 130 papers in training set
Top 0.1%
34.5%
Similar papers in this journal
2
Cell Stem Cell
○ 62 papers in training set
Top 0.1%
13.2%
Similar papers in this journal
3
eLife
● 5828 papers in training set
Top 21%
5.6%
Similar papers in this journal
50% of probability mass above
4
Development
● 497 papers in training set
Top 2%
4.9%
Similar papers in this journal
5
Frontiers in Cell and Developmental Biology
○ 233 papers in training set
Top 0.6%
4.3%
Similar papers in this journal
6
Developmental Cell
○ 196 papers in training set
Top 0.9%
4.1%
7
iScience
○ 1154 papers in training set
Top 4%
4.1%
8
Cell
○ 431 papers in training set
Top 3%
3.2%
9
Cell Reports
○ 1498 papers in training set
Top 13%
3.1%
10
Nature Communications
○ 5641 papers in training set
Top 41%
2.1%
11
Human Reproduction
◐ 20 papers in training set
Top 0.2%
1.7%
12
Cell Reports Methods
○ 165 papers in training set
Top 2%
1.4%
13
Life Science Alliance
● 285 papers in training set
Top 5%
1.1%
14
Science Advances
● 1243 papers in training set
Top 27%
1.1%
15
Advanced Science
○ 286 papers in training set
Top 8%
1.0%
16
Scientific Reports
○ 3612 papers in training set
Top 69%
1.0%
17
Communications Biology
○ 993 papers in training set
Top 29%
0.8%
18
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 41%
0.8%
19
Science China Life Sciences
○ 29 papers in training set
Top 0.6%
0.8%
20
Cell Reports Medicine
○ 153 papers in training set
Top 5%
0.8%
21
Disease Models & Mechanisms
139 papers in training set
Top 3%
0.6%
22
Biology of Reproduction
◐ 36 papers in training set
Top 0.6%
0.6%
23
Stem Cells
◐ 31 papers in training set
Top 0.8%
0.6%
24
Science
● 477 papers in training set
Top 10%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.