Machine Learning and Experimental Validation Identified Ferroptosis Signature and Innovative Biomarkers (ESR1 and GSTZ1) in Liver Fibrosis
Wen Luo, Hongwen Wu, Zhijie Yang, Tian Lan, Liya Wu, Yushen Huang · 2024
Read Machine Learning and Experimental Validation Identified Ferroptosis Signature and Innovative Biomarkers (ESR1 and GSTZ1) in Liver Fibrosis by Wen Luo, Hongwen Wu, Zhijie Yang, Tian Lan, Liya Wu, Yushen Huang (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-11625426.txt.
Description
Wen Luo and co-authors published this liver study in 2024. Liver fibrosis scars the organ, and a form of cell death called ferroptosis, driven by iron and fat harm, is tied to it. No one had yet mapped the death's mark in this disease. The team mined gene data sets with several learning tools to find core genes at the cross of fibrosis and the death path.
Nine core genes came out of the screens. In mice made to grow scarred livers, two of them, ESR1 and GSTZ1, ran far lower than in healthy mice. The same pair ran low in two check data sets, marking them as guards. Both genes also sorted scarred livers from cancerous ones well. The authors warn that a lasting fall in the pair may flag a slide from scarring toward cancer.
Catalog record
| CREATOR | Wen Luo, Hongwen Wu, Zhijie Yang, Tian Lan, Liya Wu, Yushen Huang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |