Science Advances

Supplementary Materials

This PDF file includes:

  • Table S1. Primer pairs and sequences used in the study.
  • Table S2A. Differentially expressed genes derived from comparing METTL14 KD cells versus scrambled-siRNA (control).
  • Table S2B. Differentially expressed genes that are highly expressed derived from comparing METTL14 KD cells versus scrambled-siRNA (control).
  • Table S3. Differentially expressed genes derived from comparing ALKBH5 KD cells versus scrambled-siRNA (control) using Illumina whole-genome gene expression microarrays three microarrays for each condition (total of six microarrays) were performed for this comparison.
  • Table S4A. Gene set enrichment using DAVID ( https://david.ncifcrf.gov/; v6.7, 2015) with 744 differentially expressed genes obtained from METTL14 KD gene expression profiling.
  • Table S4B. Gene set enrichment using DAVID with 440 differentially expressed genes obtained from ALKBH5 KD gene expression profiling.
  • Table S5A. Upstream regulators predicted by the Ingenuity Pathway Analysis ( www.ingenuity.com) software with 744 DEGs of METTL14 KD gene expression profiling.
  • Table S5B. Upstream regulators predicted by the Ingenuity Pathway Analysis ( www.ingenuity.com) software with 440 differentially expressed genes of ALKBH5 KD gene expression profiling.
  • Fig. S1. Efficient KD of methyltransferase complex proteins and ALKBH5 inhibits cell viability and invasion of cancer cells.
  • Fig. S2. METTL14 and ALKBH5 promote growth and progression of cancer cells without affecting the viability of normal cells.
  • Fig. S3. Cancer-associated genes are differentially expressed in METTL14/ALKBH5-silenced breast cancer cells.
  • Fig. S4. METTL14 and ALKBH5 regulate expression of genes involved in cell cycle, EMT, and angiogenesis.
  • Fig. S5. METTL14 and ALKBH5 regulate TGFβ1 and HuR expression.
  • Fig. S6. HuR-binding sites and m6A motif (RRACH) in 3′UTRs of METTL14/ALKBH5 target genes.
  • Fig. S7. Transcriptome-wide MeRIP-seq analysis shows m6A peaks in target transcripts.
  • Fig. S8. METTL14 and ALKBH5 regulate m6A levels of target genes by constituting a positive feedback loop and inhibiting YTHDF3.
  • Fig. S9. ALKBH5-YTHDF3 and METTL14-YTHDF3 axes regulate growth and migration of cancer cells.
  • Fig. S10. METTL14 and ALKBH5 do not show significantly different expression and association with overall survival in cancer patients.
  • References (44, 45)

Download PDF

Files in this Data Supplement: