The impact of somatic missense mutation on cancer etiology and progression is often difficult to interpret. One common approach for assessing the contribution of missense mutations in carcinogenesis is to identify genes mutated with statistically nonrandom frequencies. Even given the large number of sequenced cancer samples currently available, this approach remains underpowered to detect drivers, particularly in less studied cancer types. Alternative statistical and bioinformatic approaches are needed. One approach to increase power is to focus on localized regions of increased missense mutation density or hotspot regions, rather than a whole gene or protein domain. Detecting missense mutation hotspot regions in three-dimensional (3D) protein structure may also be beneficial because linear sequence alone does not fully describe the biologically relevant organization of codons. Here, we present a novel and statistically rigorous algorithm for detecting missense mutation hotspot regions in 3D protein structures. We analyzed approximately 3 × 10(5) mutations from The Cancer Genome Atlas (TCGA) and identified 216 tumor-type-specific hotspot regions. In addition to experimentally determined protein structures, we considered high-quality structural models, which increase genomic coverage from approximately 5,000 to more than 15,000 genes. We provide new evidence that 3D mutation analysis has unique advantages. It enables discovery of hotspot regions in many more genes than previously shown and increases sensitivity to hotspot regions in tumor suppressor genes (TSG). Although hotspot regions have long been known to exist in both TSGs and oncogenes, we provide the first report that they have different characteristic properties in the two types of driver genes. We show how cancer researchers can use our results to link 3D protein structure and the biologic functions of missense mutations in cancer, and to generate testable hypotheses about driver mechanisms. Our results are included in a new interactive website for visualizing protein structures with TCGA mutations and associated hotspot regions. Users can submit new sequence data, facilitating the visualization of mutations in a biologically relevant context. Cancer Res; 76(13); 3719-31. ©2016 AACR.

/pdf/exome-scale-discovery-of-hotspot-mutation-regions-in-human-39i3d0cj1c.pdf

Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure

The mitogen-activated protein kinase (MAPK) signaling pathway is the primary regulatory module of various cellular processes such as cell proliferation, differentiation, and stress responses. This pathway converts external stimuli to cellular responses via three major kinases: mitogen-activated protein kinase (MAPK), mitogen-activated protein kinase kinase (MAPKK), and mitogen-activated protein kinase kinase kinase (MAPKKK). Ubiquitination is a post-translational modification of proteins with ubiquitin, which results in the formation of mono- or poly-ubiquitin chains of substrate proteins. Conversely, removal of the ubiquitin by deubiquitinating enzymes (DUBs) is known as deubiquitination. This review summarizes mechanisms of the MAPK signaling pathways (ERK1/2, ERK5, p38, and JNK1/2/3 signaling pathway) in cancers, and of E3 ligases and DUBs that target the MAPK signaling components such as Raf, MEK1/2, ERK1/2, MEKK2/3, MEKK1-4, TAK1, DLK1, MLK1-4, ASK1/2, and MKK3-7. 

E3 ligases and deubiquitinating enzymes regulating the MAPK signaling pathway in cancers.

One of the mitogen-activated protein kinases (MAPKs), c-Jun NH2-terminal protein kinase (JNK) plays an important role in regulating cell fate, such as proliferation, differentiation, development, t...

https://journals.sagepub.com/doi/pdf/10.1177/1758835919875574

MKK7, the essential regulator of JNK signaling involved in cancer cell survival: a newly emerging anticancer therapeutic target:

Neddylation is one type of protein post-translational modification by conjugating a ubiquitin-like protein neural precursor cell-expressed developmentally downregulated protein 8 to substrate proteins via a cascade involving E1, E2, and E3 enzymes. The best-characterized substrates of neddylation are cullins, essential components of cullin-RING E3 ubiquitin-ligase complexes. The discovery of noncullin neddylation targets indicates that neddylation may have diverse biological functions. Indeed, neddylation has been implicated in various cellular processes including cell cycle progression, metabolism, immunity, and tumorigenesis. Here, we summarized the reported neddylation substrates and also discuss the functions of neddylation in the immune system and metabolism.

https://febs.onlinelibrary.wiley.com/doi/pdf/10.1111/febs.15584

Diverse and pivotal roles of neddylation in metabolism and immunity

NEDD8 (Neural precursor cell expressed developmentally downregulated protein 8) is an ubiquitin-like protein that is covalently attached to a lysine residue of a protein substrate through a process known as neddylation, catalyzed by the enzyme cascade, namely NEDD8 activating enzyme (E1), NEDD8 conjugating enzyme (E2), and NEDD8 ligase (E3). The substrates of neddylation are categorized into cullins and non-cullin proteins. Neddylation of cullins activates CRLs (cullin RING ligases), the largest family of E3 ligases, whereas neddylation of non-cullin substrates alters their stability and activity, as well as subcellular localization. Significantly, the neddylation pathway and/or many neddylation substrates are abnormally activated or over-expressed in various human diseases, such as metabolic disorders, liver dysfunction, neurodegenerative disorders, and cancers, among others. Thus, targeting neddylation becomes an attractive strategy for the treatment of these diseases. In this review, we first provide a general introduction on the neddylation cascade, its biochemical process and regulation, and the crystal structures of neddylation enzymes in complex with cullin substrates; then discuss how neddylation governs various key biological processes via the modification of cullins and non-cullin substrates. We further review the literature data on dysregulated neddylation in several human diseases, particularly cancer, followed by an outline of current efforts in the discovery of small molecule inhibitors of neddylation as a promising therapeutic approach. Finally, few perspectives were proposed for extensive future investigations. 

Protein neddylation and its role in health and diseases

The c-Jun NH2-terminal protein kinase (JNK) pathway has been implicated in mammary tumor development. However, the molecular mechanisms regulating JNK activity in breast cancer cells remain unclear. Here, we report that the inhibition of ubiquitination-like post-translational modification neddylation through different strategies results in enhanced basal JNK phosphorylation in human breast cancer cells. The upregulation of basal JNK phosphorylation upon neddylation inhibition is independent of the deneddylation of Cullins, the well-characterized neddylation substrates. Since augmented basal JNK phosphorylation via ectopic MKK7 expression impedes proliferation and the epithelial-to-mesenchymal transition (EMT) phenotype, the neddylation system might contribute to mammary tumor development partially through limiting basal JNK phosphorylation. Further exploration reveals that MKK7, a JNK-specific MAP2K, undergoes neddylation in human breast cancer cells. MKK7 co-precipitates with a fragment of Ran-binding protein 2 (RanBP2), a large multimodular and pleiotropic protein that has been recognized as a SUMO E3 ligase. Knockdown of RanBP2 attenuates MKK7 neddylation and augments basal JNK phosphorylation without affecting the neddylation of Cullins, whereas ectopic expression of a RanBP2 fragment possessing SUMO E3 activity (RanBP2ΔFG) manifests the opposite effects. In vitro neddylation assays confirm that RanBP2ΔFG works as the neddylation E3 ligase for MKK7. The basal kinase activity of endogenous MKK7 increases upon RanBP2 knockdown but decreases upon the ectopic expression of RanBP2ΔFG. Furthermore, purified MKK7 shows reduced basal kinase activity after in vitro neddylation by RanBP2ΔFG. Consistently, RanBP2 knockdown leads to reduced proliferation and impaired EMT phenotype in human breast cancer cells and the effects of RanBP2 knockdown are reversed by simultaneous MKK7 knockdown. Taken together, our data suggest that MKK7 undergoes neddylation in human breast cancer cells, which limits its basal kinase activity.

Neddylation controls basal MKK7 kinase activity in breast cancer cells

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Neddylation controls basal MKK7 kinase activity in breast cancer cells