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. 2022 Mar 29;13:1655. doi: 10.1038/s41467-022-29271-y

Fig. 6. 40K-RNA potently informs cryptic-donor activation.

Fig. 6

a, b The percentage of Authentic-Modified (AM) cryptic-donors correctly predicted, and decoy-donors incorrectly predicted at different cut-offs for (a) event rank in 40K-RNA and (b) SpliceAI (SAI) Δ score (donorVAR -donorREF). a The dotted line denotes cryptic- and decoy-donors predicted using a cut-off of events ranked 4 or less. 87% of cryptic-donors activated by AM-variants are among the top 4 events present in 40K-RNA within 250 nt of the annotated-donor, with 95% of decoy-donors not in the top 4 events. b While SpliceAI (SAI) outperforms other algorithms using a cut-off of Δ scores 0.1 and above (see supplementary Fig. 6a), it predicts only 75% of cryptic-donors (SAI Δ ≥ 0.1). SAI accurately excludes 99% of decoy-donors. c (top) Venn diagram showing the overlap of cryptic-donors with those predicted by SAI or our 40K-RNA method, among the entire pool of decoy-donors. (bottom) magnification of internal Venn. d Cryptic-donors activated by CM- and AM/CM-variants. (top) New GT/C (Light grey) denotes variants creating a GT or GC essential splice-site motif (40K-RNA is inherently unsuitable for these variants). Existing GT/C (blue) denotes variants that modify a decoy-donor with a pre-existing GC or GT essential splice-site. (bottom) For 40K-RNA, the orange segment denotes cryptic-donors in the top 4 events, yellow segment denotes where the cryptic-donor is present in 40k-RNA but is not in the top 4 events, and grey denotes cryptic-donors absent from 40K-RNA.