Back

Wnt-presenting materials sustain H3K14-acetylation in human skeletal stem cells for tissue engineering and bone repair

Becquart, P.; Tournier, P.; Junyent, S.; Ma, B.; Liu, Y.; Tang, Y.; Chen, X.; Fang, D.; Kusumbe, A.; Habib, S. J.

2025-12-19 cell biology
10.64898/2025.12.18.694408 bioRxiv
Show abstract

Engineering functional tissues for transplantation requires insight into epigenetic mechanisms that regulate stem cell fate. We have developed the Wnt-induced osteogenic tissue model (WIOTM), a platform that recapitulates human osteogenesis, and identified acetylation of histone H3 at lysine 14 (H3K14ac) as a critical epigenetic regulator in human skeletal stem cells (hSSCs). In WIOTM, localized Wnt signals drive asymmetric cell division (ACD), yielding a proximal hSSC with high H3K14ac and a distal daughter with reduced H3K14ac that migrates into the 3D collagen matrix and initiates osteogenic differentiation. Disrupting H3K14ac in hSSCs abrogates ACD and WIOTM formation. To test whether hSSCs maintain H3K14ac in vivo, we formed the WIOTM on Wnt-functionalized polymer bandages and transplanted them into calvarial defects. The WIOTM contributed to bone repair, and human cells adjacent to the bandages retained high H3K14ac despite the injury environment. These findings establish WIOTM as both a mechanistic and translational platform for regenerative medicine.

Published in npj Regenerative Medicine (predicted rank #19) · training set

Matching journals

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

1
Nature Communications
○ 5641 papers in training set
Top 14%
12.6%
Similar papers in this journal
2
Science Advances
● 1243 papers in training set
Top 1%
9.9%
Similar papers in this journal
3
Advanced Science
○ 286 papers in training set
Top 0.4%
9.0%
Similar papers in this journal
4
eLife
● 5828 papers in training set
Top 21%
5.6%
Similar papers in this journal
5
Scientific Reports
○ 3612 papers in training set
Top 19%
4.9%
Similar papers in this journal
6
Stem Cell Reports
○ 130 papers in training set
Top 0.5%
4.4%
7
iScience
○ 1154 papers in training set
Top 4%
4.1%
50% of probability mass above
8
Communications Biology
○ 993 papers in training set
Top 5%
3.3%
9
Biomaterials
○ 84 papers in training set
Top 0.6%
3.3%
10
Advanced Healthcare Materials
○ 85 papers in training set
Top 0.7%
2.8%
11
Stem Cell Research & Therapy
○ 30 papers in training set
Top 0.2%
2.8%
12
Cell Reports
○ 1498 papers in training set
Top 15%
2.4%
13
Stem Cells
◐ 31 papers in training set
Top 0.3%
1.9%
14
Frontiers in Cell and Developmental Biology
○ 233 papers in training set
Top 2%
1.9%
15
Advanced Functional Materials
○ 46 papers in training set
Top 0.8%
1.5%
16
Molecular Therapy Nucleic Acids
○ 39 papers in training set
Top 0.5%
1.5%
17
Nature Biomedical Engineering
○ 47 papers in training set
Top 1%
1.1%
18
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 34%
1.1%
npj Regenerative Medicine · published here
○ 24 papers in training set
Top 0.5%
1.1%
20
Matrix Biology
○ 29 papers in training set
Top 0.5%
1.0%
21
Advanced Materials
○ 56 papers in training set
Top 1.0%
0.9%
22
The FASEB Journal
○ 194 papers in training set
Top 5%
0.9%
23
Nature Materials
○ 28 papers in training set
Top 0.6%
0.6%
24
Nucleic Acids Research
◐ 1281 papers in training set
Top 14%
0.6%
25
Developmental Cell
○ 196 papers in training set
Top 4%
0.6%
26
Cell Death & Disease
147 papers in training set
Top 4%
0.6%
27
PLOS ONE
● 5266 papers in training set
Top 61%
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.