Figure 1.
Figure 1. Ribosome profiling of human platelets. (A) Fraction of sequencing reads from RNA-Seq and ribosome profiling libraries mapped to genomic features. lincRNA, long, intergenic, noncoding RNA; tRNA, transfer RNA. (B) Gene ontology analysis of translated mRNAs (single ranked list; see “Methods”). (C) Numbers of unique transcripts identified by ribosome profiling (Ribo-Prof) and RNA-Seq. Yellow box indicates the sensitivity threshold 0.3 RPKM. (D) Scatter plot showing the correlation between RNA-Seq and ribosome profiling data from platelets (Spearman ρ = 0.77). (E,F) Analysis of the effects of 0.01 U/mL human thrombin for 60 minutes at 37°C on platelet translation. Blue, mitochondrial transcripts; FP, footprints; pos, positive; red, significant changes (adjusted P < .05); reg, regulation.

Ribosome profiling of human platelets. (A) Fraction of sequencing reads from RNA-Seq and ribosome profiling libraries mapped to genomic features. lincRNA, long, intergenic, noncoding RNA; tRNA, transfer RNA. (B) Gene ontology analysis of translated mRNAs (single ranked list; see “Methods”). (C) Numbers of unique transcripts identified by ribosome profiling (Ribo-Prof) and RNA-Seq. Yellow box indicates the sensitivity threshold 0.3 RPKM. (D) Scatter plot showing the correlation between RNA-Seq and ribosome profiling data from platelets (Spearman ρ = 0.77). (E,F) Analysis of the effects of 0.01 U/mL human thrombin for 60 minutes at 37°C on platelet translation. Blue, mitochondrial transcripts; FP, footprints; pos, positive; red, significant changes (adjusted P < .05); reg, regulation.

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