Fig. 2: Finding the transcriptomic signature of FLC.

A Differentially expressed genes obtained by the library (FDR < 0.05 and |log₂(FC)| > 1). In (B) filters were applied to the intersection of the exploration datasets to obtain the transcriptomic FLC signature (287 up- and 406 down-regulated genes), as detailed in the Methods. C Validation using three external datasets. In these, we calculated the dysregulation trends of the FLC signature genes. In all cases, we confirmed that they matched with the trends obtained in panel (B). The libraries used correspond to the human tissue samples sequenced in RU-A: Simon et al.¹⁵, RU-B and RU-C: this study, RU-D: Lalazar et al.³⁰, RU-E: Narayan et al.²⁹. We used as validation three external datasets of patients’ samples: Sorenson et al.³², Francisco et al.³³ and the TCGA-LIHC study³⁵. In these datasets, we calculated the dysregulation trend of each of the genes in the FLC signature. For all genes, we confirmed that these trends matched those obtained in panel (B). The raw reads and normalized read counts for this figure are deposited in their corresponding dbGAP, GEO, and EGA repositories, as detailed in the data availability section. Access can be requested directly to these repositories under their privacy and confidentiality terms.