cancers Article Misregulation of ELK1, AP1, and E12 Transcription Factor Networks Is Associated with Melanoma Progression Komudi Singh 1, Michelle Baird 2, Robert Fischer 2, Vijender Chaitankar 1, Fayaz Seifuddin 1, Yun-Ching Chen 1, Ilker Tunc 1, Clare M. Waterman 2 and Mehdi Pirooznia 1,* 1 Bioinformatics and Computational Biology Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA;
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[email protected] Received: 6 January 2020; Accepted: 12 February 2020; Published: 17 February 2020 Abstract: Melanoma is among the most malignant cutaneous cancers and when metastasized results in dramatically high mortality. Despite advances in high-throughput gene expression profiling in cancer transcriptomic studies, our understanding of mechanisms driving melanoma progression is still limited. We present here an in-depth bioinformatic analysis of the melanoma RNAseq, chromatin immunoprecipitation (ChIP)seq, and single-cell (sc)RNA seq data to understand cancer progression. Specifically, we have performed a consensus network analysis of RNA-seq data from clinically re-grouped melanoma samples to identify gene co-expression networks that are conserved in early (stage 1) and late (stage 4/invasive) stage melanoma. Overlaying the fold-change information on co-expression networks revealed several coordinately up or down-regulated subnetworks that may play a critical role in melanoma progression.