Tumors carrying BRAF-mutations over-express NAMPT that is genetically amplified and possesses oncogenic properties.

BACKGROUND: Nicotinamide phosphoribosyltransferase (NAMPT), the rate-limiting enzyme in nicotinamide adenine dinucleotide (NAD) biosynthesis, is up-regulated in several cancers, including metastatic melanoma (MM). The BRAF oncogene is mutated in different cancer types, among which MM and thyroid carcinoma (THCA) are prominent. Drugs targeting mutant BRAF are effective, especially in MM patients, even though resistance rapidly develops. Previous data have linked NAMPT over-expression to the acquisition of BRAF resistance, paving the way for therapeutic strategies targeting the two pathways. METHODS: Exploiting the TCGA database and a collection of MM and THCA tissue microarrays we studied the association between BRAF mutations and NAMPT expression. BRAF wild-type (wt) cell lines were genetically engineered to over-express the BRAF V600E construct to demonstrate a direct relationship between over-activation of the BRAF pathway and NAMPT expression. Responses of different cell line models to NAMPT (i)nhibitors were studied using dose-response proliferation assays. Analysis of NAMPT copy number variation was performed in the TCGA dataset. Lastly, growth and colony forming assays were used to study the tumorigenic functions of NAMPT itself. RESULTS: The first finding of this work is that tumor samples carrying BRAF-mutations over-express NAMPT, as demonstrated by analyzing the TCGA dataset, and MM and THC tissue microarrays. Importantly, BRAF wt MM and THCA cell lines modified to over-express the BRAF V600E construct up-regulated NAMPT, confirming a transcriptional regulation of NAMPT following BRAF oncogenic signaling activation. Treatment of BRAF-mutated cell lines with two different NAMPTi was followed by significant reduction of tumor growth, indicating NAMPT addiction in these cells. Lastly, we found that several tumors over-expressing the enzyme, display NAMPT gene amplification. Over-expression of NAMPT in BRAF wt MM cell line and in fibroblasts resulted in increased growth capacity, arguing in favor of oncogenic properties of NAMPT. CONCLUSIONS: Overall, the association between BRAF mutations and NAMPT expression identifies a subset of tumors more sensitive to NAMPT inhibition opening the way for novel combination therapies including NAMPTi with BRAFi/MEKi, to postpone and/or overcome drug resistance. Lastly, the over-expression of NAMPT in several tumors could be a key and broad event in tumorigenesis, substantiated by the finding of NAMPT gene amplification.

RNA Post-Transcriptional Modification Mapping Data Analysis Using RNA Framework.

RNA post-transcriptional modifications (PTMs) are progressively gaining relevance in the study of coding-independent functions of RNA. RNA PTMs act as dynamic regulators of several aspects of the RNA physiology, from translation to half-life. Rising interest is supported by the advance of high-throughput techniques enabling the detection of these modifications on a transcriptome-wide scale. To this end, here we illustrate the usefulness of RNA Framework, a comprehensive toolkit for the analysis of RNA PTM mapping experiments, by reanalyzing two published transcriptome-scale datasets of N1-methyladenosine (m1A) and pseudouridine (Ψ) mapping, based on two different experimental strategies.

Genome-scale deconvolution of RNA structure ensembles.

RNA structure heterogeneity is a major challenge when querying RNA structures with chemical probing. We introduce DRACO, an algorithm for the deconvolution of coexisting RNA conformations from mutational profiling experiments. Analysis of the SARS-CoV-2 genome using dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) and DRACO, identifies multiple regions that fold into two mutually exclusive conformations, including a conserved structural switch in the 3' untranslated region. This work may open the way to dissecting the heterogeneity of the RNA structurome.

Structure and regulation of coronavirus genomes: state-of-the-art and novel insights from SARS-CoV-2 studies.

Coronaviruses (CoV) are positive-sense single-stranded RNA viruses, harboring the largest viral RNA genomes known to date. Apart from the primary sequence encoding for all the viral proteins needed for the generation of new viral particles, certain regions of CoV genomes are known to fold into stable structures, controlling several aspects of CoV life cycle, from the regulation of the discontinuous transcription of subgenomic mRNAs, to the packaging of the genome into new virions. Here we review the current knowledge on CoV RNA structures, discussing it in light of the most recent discoveries made possible by analyses of the SARS-CoV-2 genome.

Genome-wide mapping of SARS-CoV-2 RNA structures identifies therapeutically-relevant elements.

SARS-CoV-2 is a betacoronavirus with a linear single-stranded, positive-sense RNA genome, whose outbreak caused the ongoing COVID-19 pandemic. The ability of coronaviruses to rapidly evolve, adapt, and cross species barriers makes the development of effective and durable therapeutic strategies a challenging and urgent need. As for other RNA viruses, genomic RNA structures are expected to play crucial roles in several steps of the coronavirus replication cycle. Despite this, only a handful of functionally-conserved coronavirus structural RNA elements have been identified to date. Here, we performed RNA structure probing to obtain single-base resolution secondary structure maps of the full SARS-CoV-2 coronavirus genome both in vitro and in living infected cells. Probing data recapitulate the previously described coronavirus RNA elements (5' UTR and s2m), and reveal new structures. Of these, ∼10.2% show significant covariation among SARS-CoV-2 and other coronaviruses, hinting at their functionally-conserved role. Secondary structure-restrained 3D modeling of these segments further allowed for the identification of putative druggable pockets. In addition, we identify a set of single-stranded segments in vivo, showing high sequence conservation, suitable for the development of antisense oligonucleotide therapeutics. Collectively, our work lays the foundation for the development of innovative RNA-targeted therapeutic strategies to fight SARS-related infections.

Subcellular Characterization of Nicotinamide Adenine Dinucleotide Biosynthesis in Metastatic Melanoma by Using Organelle-Specific Biosensors.

Aim: Nicotinamide adenine dinucleotide (NAD+) plays central roles in a wide array of normal and pathological conditions. Inhibition of NAD+ biosynthesis can be exploited therapeutically in cancer, including melanoma. To obtain quantitation of NAD+ levels in live cells and to address the issue of the compartmentalization of NAD+ biosynthesis, we exploited a recently described genetically encoded NAD+ biosensor (LigA-circularly permutated Venus), which was targeted to the cytosol, mitochondria, and nuclei of BRAF-V600E A375 melanoma cells, a model of metastatic melanoma (MM). Results: FK866, a specific inhibitor of nicotinamide phosphoribosyltransferase (NAMPT), the main NAD+-producing enzyme in MM cells, was used to monitor NAD+ depletion kinetics at the subcellular level in biosensor-transduced A375 cells. In addition, we treated FK866-blocked A375 cells with NAD+ precursors, including nicotinamide, nicotinic acid, nicotinamide riboside, and quinolinic acid, highlighting an organelle-specific capacity of each substrate to rescue from NAMPT block. Expression of NAD+ biosynthetic enzymes was then biochemically studied in isolated organelles, revealing the presence of NAMPT in all three cellular compartments, whereas nicotinate phosphoribosyltransferase was predominantly cytosolic and mitochondrial, and nicotinamide riboside kinase mitochondrial and nuclear. In keeping with biosensor data, quinolinate phosphoribosyltransferase was expressed at extremely low levels. Innovation and Conclusions: Throughout this work, we validated the use of genetically encoded NAD+ biosensors to characterize subcellular distribution of NAD+ production routes in MM. The chance of real-time monitoring of NAD+ fluctuations after chemical perturbations, together with a deeper comprehension of the cofactor biosynthesis compartmentalization, strengthens the foundation for a targeted strategy of NAD+ pool manipulation in cancer and metabolic diseases.