Fig. 5: Multiomics of the FLC signature.

A Fold Change (in log₂ scale) of the genes in the transcriptomic FLC signature and the differentially regulated proteins in tumors versus normal samples¹⁶ (N = 238 genes). A positive correlation is observed (R = 0.73). B Differentially methylated genes in tumor versus normal samples in the transcriptomic FLC signature (N = 41 genes). Red: overexpressed, Blue: underexpressed. In (A, B), the gray-shaded region indicates the range of possible values for the linear regression fit with 95% confidence. C Circos plot representing the genes of the transcriptomic FLC signature at different omic levels, from external to internal circle: chromosome, transcriptome, proteome, methylome, and genome/exome. The Log₂(Fold Change) of FLC tumor versus normal samples at transcriptional level is shown in a red (overexpressed) white (no change), and blue scale (underexpressed). The log₂(Fold Change) at the proteome level is presented in a yellow (down) to blue (up) scale. The percentage of differentially hyper- and hypo-methylation in FLC tumors versus normal samples in a yellow (down) to blue (up) scale. For the proteome and methylome, white = undetected. The genomic variants detected in the WGS/WES data of FLC tumors versus normal samples are represented as bars, where the height represents the number of tumors mutated (from 0 to 10), and the grayscale intensity represents the number of mutations. The raw reads and normalized read counts of the transcriptome are deposited in dbGAP phs003643. Access can be requested directly from dbGAP under their privacy and confidentiality terms. The methylation data is provided in the Supplementary Data 5 in the present article. The proteome data is from Supplementary Table 1, 2 of Levin et al.¹⁶.