Table 1.
The 610 collected ribo-seq datasets were assigned to 14 research topics
| Research topic | # of ribo-seq datasets | # of publications |
|---|---|---|
| Apoptosis | 6 | 1 |
| Cancer mechanism | 85 | 6 |
| Cell cycle | 27 | 4 |
| Circadian rhythms | 48 | 1 |
| Disease | 62 | 4 |
| microRNA regulatory effect | 24 | 3 |
| Mitochondrial translation | 4 | 1 |
| mRNA modification | 34 | 3 |
| mTOR pathway | 62 | 3 |
| Protein stability | 25 | 2 |
| RPF methodology | 20 | 8 |
| Stress condition | 139 | 8 |
| Translational regulation mechanism | 177 | 22 |
| Virus infection | 106 | 6 |
Note that the number of data in Table 1 sums up to 819 not 610 is because the same ribo-seq data may be assigned to multiple topics. For example, SRR2052911 (6 h infection cytosol ribosome profiling Rep1) belongs to two topics: virus infection and stress condition.