AthRiboNC: an Arabidopsis database for ncRNAs with coding potential revealed from ribosome profiling
Yi Shen, Liya Liu, Enyan Liu, Sida Li, Yuriy Orlov, Vladimir Ivanisenko, Ming Chen · 2024
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Description
Yi Shen and co-authors built AthRiboNC in 2024, a database of plant RNAs that may secretly code for proteins. Non-coding RNAs were long held to make no proteins, but short reading frames inside them can yield small working peptides. In plants, a full sweep of such hidden coders was missing.
The team mined ribosome profiling data from 226 samples of Arabidopsis, the model plant. Ribosomes caught in the act mark which RNAs are truly being translated. The database gathers those candidates with their evidence for free search. It gives plant science a map of a dark layer of its genome.
Catalog record
| CREATOR | Yi Shen, Liya Liu, Enyan Liu, Sida Li, Yuriy Orlov, Vladimir Ivanisenko, Ming Chen |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 26 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |