Results
Results
Embedded Files
The analysis pipeline identified a total of 1,279 predicted ORFs translated from the merged ribosome profiling data. By filtering these predictions to retain only those ORFs with a maximum length of 150 amino acids, defining the candidate micropeptides, I obtained a refined list of 673 micropeptides. Despite this large candidate set, differential expression analyses using DESeq2 did not yield any statistically significant differences between the infected and uninfected conditions. Principal component analysis (PCA) failed to clearly cluster samples by condition, and neither the volcano plots nor the MA plots revealed any ORFs that passed the significance thresholds (adjusted p-value < 0.05 and |log₂ fold change| > 1).
SARS‑CoV‑2
Influenza
Discussion
Discussion
The lack of significant differential expression between infected and uninfected conditions suggests that micropeptide translation by the lncRNAs may be either constitutive or only subtly modulated during viral infection. Most of the ORFs had no count. Among the ones that have counts, the small count number suggests these lncRNA-encoded micropeptides may not have a major role upon viral infection. Although the pipeline predicted 1,279 ORFs and refined 673 small ORF candidates based on a length cutoff, the observed uniformity across conditions could result from limitations in sensitivity inherent to ribosome profiling, potential biological variability, or timing issues in capturing transient regulatory events. These findings indicate that lncRNA-encoded micropeptide regulation might occur at subtle levels or via post-translational mechanisms not detectable through this analysis alone, which requires further investigation with more targeted approaches.
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