Integrative transcriptomic and machine learning approaches to decipher mitochondrial gene regulation in severe Plasmodium vivax malaria
Priyanka Roy, Yash Aggarwal, Sanjay Kumar Kochar, Dhanpat Kumar Kochar, Ashis Das · 2025
Read Integrative transcriptomic and machine learning approaches to decipher mitochondrial gene regulation in severe Plasmodium vivax malaria by Priyanka Roy, Yash Aggarwal, Sanjay Kumar Kochar, Dhanpat Kumar Kochar, Ashis Das (2025) 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-12825223.txt.
Description
Severe malaria caused by the parasite Plasmodium vivax can harm the body in ways that stay poorly mapped. Priyanka Roy and four co-authors focus on the parasite's mitochondria, the small cell parts that make energy and help build key molecules. These parts carry a tiny genome, quite unlike our own, and shift their work as the parasite grows in red blood cells.
The team joins gene activity data with machine learning to read how these cell parts are controlled. They find that a class of long RNA strands, once thought to be mere by-products, acts as strong switches. In severe cases, those switches form clear patterns. The findings open a new view of why some infections turn grave.
Catalog record
| CREATOR | Priyanka Roy, Yash Aggarwal, Sanjay Kumar Kochar, Dhanpat Kumar Kochar, Ashis Das |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 66 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |