Ribonucleotide reductases (RNRs) catalyze the conversion of nucleoside diphosphate substrates (S) to deoxynucleotides with allosteric effectors (e) controlling their relative ratios and amounts, crucial for fidelity of DNA replication and repair. class Ia RNR is composed of α and β subunits that form a transient, active α2β2 complex. The RNR is rate-limited by S/e-dependent conformational change(s) that trigger the radical initiation step through a pathway of 35 Å across the subunit (α/β) interface. The weak subunit affinity and complex nucleotide-dependent quaternary structures have precluded a molecular understanding of the kinetic gating mechanism(s) of the RNR machinery. Using a docking model of α2β2 created from X-ray structures of α and β and conserved residues from a new subclassification of the Ia RNR (Iag), we identified and investigated four residues at the α/β interface (Glu and Glu in β2 and Arg and Arg in α2) of potential interest in kinetic gating. Mutation of each residue resulted in loss of activity and with the exception of E52Q-β2, weakened subunit affinity. An RNR mutant with 2,3,5-trifluorotyrosine radical (FY) replacing the stable Tyr in WT-β2, a mutation that partly overcomes conformational gating, was placed in the E52Q background. Incubation of this double mutant with His-α2/S/e resulted in an RNR capable of catalyzing pathway-radical formation (Tyr-β2), 0.5 eq of dCDP/FY, and formation of an α2β2 complex that is isolable in pulldown assays over 2 h. Negative stain EM images with S/e (GDP/TTP) revealed the uniformity of the α2β2 complex formed.
E. coli Ia ribonucleotide reductase is composed of two subunits that form an active α2β2 complex. The nucleoside diphosphate substrates (NDP) are reduced in α2, 35 Å from the essential diferric-tyrosyl radical (Y122•) cofactor in β2. The Y122• mediated oxidation of C439 in α2 occurs by a pathway (Y122 ⇆ [W48] ⇆ Y356 in β2 to Y731 ⇆ Y730 ⇆ C439 in 7agr;2) across the α/ β interface. The absence of an α2β2 structure precludes insight into the location of Y356 and Y731 at the subunit interface. The sequence proximity of the conserved E350 to Y356 in β2 suggested its importance in catalysis and/or conformational gating. To study its function, pH rate profiles of wt-β2/α2 and mutants in which 3,5-difluorotyrosine (F2Y) replaces residue 356, 731 or both are reported in the presence of E350 or E350X (X = A, D, Q) mutants. With E350, activity is maintained at the pH extremes suggesting that protonated and deprotonated states of F2Y356 and F2Y731 are active and that radical transport (RT) can occur across the interface by proton-coupled electron transfer at low pH or electron transfer at high pH. With E350X mutants, all RNRs were inactive suggesting that E350 could be a proton acceptor during oxidation of the interface Ys. To determine if E350 plays a role in conformational gating the strong oxidants, NO2Y122•-β2 and 2,3,5-F3Y122•-β2 were reacted with α2/CDP/ATP in E350 and E350X backgrounds and the reactions were monitored for pathway radicals by rapid-freeze quench EPR spectroscopy. Pathway radicals are generated only when E350 is present, supporting its essential role in gating the conformational change(s) that initiates RT and masking its role as a proton acceptor.
Ribonucleotide reductase (RR) is the rate-limiting enzyme in DNA synthesis, catalyzing the reduction of ribonucleotides to deoxyribonucleotides. During each enzymatic turnover, reduction of the active site disulfide in the catalytic large subunit is performed by a pair of shuttle cysteine residues in its C-terminal tail. Thioredoxin (Trx) and glutaredoxin (Grx) are ubiquitous redox proteins, catalyzing thiol-disulfide exchange reactions. Here, immunohistochemical examination of clinical colorectal cancer (CRC) specimens revealed that human thioredoxin1 (hTrx1), but not human glutaredoxin1 (hGrx1), was up-regulated along with human RR large subunit (RRM1) in cancer tissues, and the expression levels of both proteins were correlated with cancer malignancy stage. Ectopically expressed hTrx1 significantly increased RR activity, DNA synthesis, and cell proliferation and migration. Importantly, inhibition of both hTrx1 and RRM1 produced a synergistic anticancer effect in CRC cells and xenograft mice. Furthermore, hTrx1 rather than hGrx1 was the efficient reductase for RRM1 regeneration. We also observed a direct protein-protein interaction between RRM1 and hTrx1 in CRC cells. Interestingly, besides the known two conserved cysteines, a third cysteine (Cys) in the RRM1 C terminus was essential for RRM1 regeneration and binding to hTrx1, whereas both Cys and Cys in hTrx1 played a counterpart role. Our findings suggest that the up-regulated RRM1 and hTrx1 in CRC directly interact with each other and promote RR activity, resulting in enhanced DNA synthesis and cancer malignancy. We propose that the RRM1-hTrx1 interaction might be a novel potential therapeutic target for cancer treatment.
Mining cancer-omics databases deepens our understanding of cancer biology and can lead to potential breakthroughs in cancer treatment. Here, we propose an integrative analytical approach to reveal across-cancer expression patterns and identify potential clinical impacts for genes of interest from five representative public databases. Using ribonucleotide reductase (RR), a key enzyme in DNA synthesis and cancer-therapeutic targeting, as an example, we characterized the mRNA expression profiles and inter-component associations of three RR subunit genes and assess their differing pathological and prognostic significance across over 30-types of cancers and their related subtypes. Findings were validated by immunohistochemistry with clinical tissue samples (n = 211) collected from multiple cancer centers in China and with clinical follow-up. Underlying mechanisms were further explored and discussed using co-expression gene network analyses. This framework represents a simple, efficient, accurate, and comprehensive approach for cancer-omics resource analysis and underlines the necessity to separate the tumors by their histological or pathological subtypes during the clinical evaluation of molecular biomarkers.
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