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Missense mutations in park2, encoding the parkin protein, account for ϳ50% of autosomal recessive juvenile Parkinson disease (ARJP) cases. Parkin belongs to the family of RBR (RING-between-RING) E3 ligases involved in the ubiquitin-mediated degradation and trafficking of proteins such as Pael-R and synphillin-1. The proposed architecture of parkin, based largely on sequence similarity studies, consists of N-terminal ubiquitin-like and C-terminal RBR domains. These domains are separated by a ϳ160-residue unique parkin sequence having no recognizable domain structure. We used limited proteolysis experiments on bacterially expressed and purified parkin to identify a new domain (RING0) within the unique parkin domain sequence. RING0 comprises two distinct, conserved cysteine-rich clusters between Cys 150 -Cys 169 and Cys 196 -His 215 consisting of CX 2 -3 CX 11 CX 2 C and CX 4 -6 CX 10 -16 -CX 2 (H/C) motifs. The positions of the cysteine/histidine residues in this region bear similarity to parkin RING1 and RING2 domains, as well as other E3 ligase RING domains. However, in parkin a 26-residue linker region separates the motifs, which is not typical of other RING domain structures. Further, the RING0 domain includes all but one of the known ARJP mutation sites between the ubiquitin-like and RBR regions of parkin. Using electrospray ionization mass spectrometry and inductively coupled plasma-atomic emission spectrometry analysis, we determined that the RING0, RING1, IBR, and RING2 domains each bind two Zn 2؉ ions, the first observation of an E3 ligase with the ability to bind eight metal ions. Removal of the zinc from parkin causes near complete unfolding of the protein, an observation that rationalizes cysteine-based ARJP mutations found throughout parkin, including RING0 (C212Y) that form cellular inclusions and/or are defective for ubiquitination likely because of poor zinc binding and misfolding. The identification of the RING0 domain in parkin provides a new overall domain structure for the protein that will be important in assessing the roles of ARJP mutations and designing experiments aimed at understanding the disease. Autosomal recessive juvenile Parkinson disease (ARJP)2 is a neurodegenerative disorder arising from the loss of dopaminergic neurons in the substantia nigra of the midbrain. ARJP is characterized by the onset of Parkinsonian symptoms such as tremors, rigidity, and bradykinesia. It is distinguished from the idiopathic form of Parkinson disease by the onset of symptoms, prior to the age of forty. The hereditary nature of ARJP implicates a number of mutations in the genes encoding the proteins parkin, PINK1, LRRK2, and DJ-1 as the cause of dopaminergic neurodegeneration (1-4). A variety of deletion, truncation, and point mutations distributed throughout the park2 gene, which encodes the protein parkin, have been reported in ARJP patients (1,(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18).Parkin functions as a ubiquitin ligase (E3) and belongs to a family of RBR (RING-between-RING) ubiquitin li...

Introduction: Cancer is often diagnosed at late stages when the chance of cure is relatively low and although research initiatives in oncology discover many potential cancer biomarkers, few transition to clinical applications. This review addresses the current landscape of cancer biomarker discovery and translation with a focus on proteomics and beyond. Areas covered: The review examines proteomic and genomic techniques for cancer biomarker detection and outlines advantages and challenges of integrating multiple omics approaches to achieve optimal sensitivity and address tumor heterogeneity. This discussion is based on a systematic literature review and direct participation in translational studies. Expert commentary: Identifying aggressive cancers early on requires improved sensitivity and implementation of biomarkers representative of tumor heterogeneity. During the last decade of genomic and proteomic research, significant advancements have been made in next generation sequencing and mass spectrometry techniques. This in turn has led to a dramatic increase in identification of potential genomic and proteomic cancer biomarkers. However, limited successes have been shown with translation of these discoveries into clinical practice. We believe that the integration of these omics approaches is the most promising molecular tool for comprehensive cancer evaluation, early detection and transition to Precision Medicine in oncology.