Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with cuproptosis and ferroptosis in abdominal aortic aneurysm
Zonglin Han, Xiulian Lu, Yuxiang He, Tangshan Zhang, Zhengtong Zhou, Jingyong Zhang, Hua Zhou · 2024
Read Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with cuproptosis and ferroptosis in abdominal aortic aneurysm by Zonglin Han, Xiulian Lu, Yuxiang He, Tangshan Zhang, Zhengtong Zhou, Jingyong Zhang, Hua Zhou (2024) 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-11668634.txt.
Description
Zonglin Han and co-authors combine single-cell data and machine learning to find a marker for abdominal aortic aneurysm, a dangerous bulge in the main artery, in a 2024 study. Two cell death routes tied to copper and iron had not been mapped in this disease. Mouse single-cell sets and a human blood set were mined together.
Immune cells of one type proved most sensitive to the disease state. Thirty-four genes linked the two death routes. Time-order, network, and four learning methods each narrowed the list, and only one gene, PIM1, survived every filter. Lab tests confirmed it runs high in aneurysm tissue. The authors present PIM1 as a fresh marker candidate for detection and study.
Catalog record
| CREATOR | Zonglin Han, Xiulian Lu, Yuxiang He, Tangshan Zhang, Zhengtong Zhou, Jingyong Zhang, Hua Zhou |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |