Defining neurovascular ecosystem states with single-cell multi-omics and machine learning: insights into cerebrovascular remodeling in the tumor context
Dongsheng Kong, Yakun Chen, Wenwen Wang, Zhizhen Qin, Chenxuan Yang, Zhao Gao, Shengli Guo, Zhe Xue · 2026
Read Defining neurovascular ecosystem states with single-cell multi-omics and machine learning: insights into cerebrovascular remodeling in the tumor context by Dongsheng Kong, Yakun Chen, Wenwen Wang, Zhizhen Qin, Chenxuan Yang, Zhao Gao, Shengli Guo, Zhe Xue (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13272044.txt.
Description
Dongsheng Kong and coauthors map in 2026 how blood vessel and brain cell states shift together inside growing brain tumors. Vessels in tumors lose their barrier role and help cancer remodel its surroundings. The team wanted a state-by-state picture of that ecosystem rather than single-cell snapshots.
A mouse brain tumor model supplied tissue for single-cell gene and chromatin profiling, backed by regional checks and machine learning. Vessel-lining cells moved from barrier-keeping states toward growth and inflammation states as tumors advanced. Support cells showed matrix-remodeling signatures, and gene control data suggested these shifts were stable rather than fleeting.
Catalog record
| CREATOR | Dongsheng Kong, Yakun Chen, Wenwen Wang, Zhizhen Qin, Chenxuan Yang, Zhao Gao, Shengli Guo, Zhe Xue |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 70 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |