| Title | UTR MRL dataset |
|---|---|
| Description | The 5' UTR is critical for mRNA stability and translation efficiency in therapeutics. The mean ribosome load (MRL), which represents the number of ribosomes translating a given mRNA at any given time, is widely used as a quantitative measure of 5' UTR translation efficiency. This dataset includes 5' UTR sequences and MRL data, with MRL values derived from polysome profiling analysis. The dataset primarily consists of 5' UTR sequences, relative read counts for each ribosome bin, total reads, and MRL values. For MRL, whether for random or endogenous sequences, it is defined as the relative distribution of reads in each bin multiplied by the cumulative sum of the ribosome count for the corresponding bin. |
| Organism | mixed sample |
| Data Type | Other Type of Genomic Data |
| Data Accessibility | Open-access |
| BioProject | PRJCA035237 |
| Release Date | 2025-01-19 |
| Submitter | Saichao Pan (saichao.pan@rhegen.com) |
| Organization | Shenzhen Rhegen Biotechnology Co.,Ltd. |
| Submission Date | 2025-01-18 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX008723-01 | 5' UTR MRL data 1 | 10 | Other Type of Genomic Data | 87.6 MB | gz | |
| OMIX008723-02 | 5' UTR MRL data 2 | 12 | Other Type of Genomic Data | 81.6 MB | 7z |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| UTR-DynaPro: a CNN–transformer multimodal language model for decoding 5′UTR regulatory mechanisms | Scientific Reports | 2026-03 | OMIX008723 | Deposit |
| UTR-Insight: integrating deep learning for efficient 5′ UTR discovery and design | BMC genomics | 2025-02 | OMIX008723 | Deposit |
| UTR-DynaPro: A CNN–Transformer Multimodal Language Model for Decoding 5′ UTR Regulatory Mechanisms | Research Square | 2026-01 | OMIX008723 | Deposit |