Figure 3
From: High-throughput translational profiling with riboPLATE-seq
Analysis of riboPLATE-seq library saturation, size, and complexity in TS-543 cells. (a), (b) Library saturation strip plots for ribosome-associated (riboPLATE-seq) and total RNA (PLATE-seq) libraries in this study. In each, the Y axis shows the number of unique genes detected in each sample at each subsampled read depth on the X axis, excluding libraries smaller than the subsampling depth. With ~ 10–11,000 unique genes detected, riboPLATE-seq and PLATE-seq are comparably saturated. (c) Scatter plots emphasizing the relationship between library size and complexity across library types. The Y axis represents the number of unique genes detected within a library; the X axis represents its size in summed gene counts. PLATE-seq and riboPLATE-seq are very similarly distributed, with PLATE-seq generating slightly more complex, smaller libraries than riboPLATE-seq. Ribosome profiling and RNA-seq generate larger, more complex libraries than either riboPLATE- or PLATE-seq, which retain their complexity with ~ 11,000 genes detected when downsampled to the average read depths of riboPLATE- and PLATE-seq, respectively.
