Recognition of RNA cap in the Wesselsbron virus NS5 methyltransferase domain: implications for RNA-capping mechanisms in Flavivirus

The mRNA-capping process starts with the conversion of a 5′-triphosphate end into a 5′-diphosphate by an RNA triphosphatase, followed by the addition of a guanosine monophosphate unit in a 5′-5′ phosphodiester bond by a guanylyltransferase. Methyltransferases are involved in the third step of the process, transferring a methyl group from S-adenosyl-l-methionine to N7-guanine (cap 0) and to the ribose 2′OH group (cap 1) of the first RNA nucleotide; capping is essential for mRNA stability and proper replication. In the genus Flavivirus, N7-methyltransferase and 2′O-methyltransferase activities have been recently associated with the N-terminal domain of the viral NS5 protein. In order to further characterize the series of enzymatic reactions that support capping, we analyzed the crystal structures of Wesselsbron virus methyltransferase in complex with the S-adenosyl-l-methionine cofactor, S-adenosyl-l-homocysteine (the product of the methylation reaction), Sinefungin (a molecular analogue of the enzyme cofactor), and three different cap analogues (GpppG, ^N7MeGpppG, and ^N7MeGpppA). The structural results, together with those on other flaviviral methyltransferases, show that the capped RNA analogues all bind to an RNA high-affinity binding site. However, lack of specific interactions between the enzyme and the first nucleotide of the RNA chain suggests the requirement of a minimal number of nucleotides following the cap to strengthen protein/RNA interaction. Our data also show that, following incubation with guanosine triphosphate, Wesselsbron virus methyltransferase displays a guanosine monophosphate molecule covalently bound to residue Lys28, hinting at possible implications for the transfer of a guanine group to ppRNA. The structures of the Wesselsbron virus methyltransferase complexes obtained are discussed in the context of a model for N7-methyltransferase and 2′O-methyltransferase activities.     

Structural bases for heme binding and diatomic ligand recognition in truncated hemoglobins

Truncated hemoglobins (trHbs) are low-molecular-weight oxygen-binding heme-proteins distributed in eubacteria, cyanobacteria, unicellular eukaryotes, and in higher plants, constituting a distinct group within the hemoglobin (Hb) superfamily. TrHbs display amino acid sequences 20-40 residues shorter than classical (non)vertebrate Hbs and myoglobins, to which they are scarcely related by sequence similarity. The trHb tertiary structure is based on a 2-on-2 alpha-helical sandwich, which represents a striking editing of the highly conserved 3-on-3 alpha-helical globin fold, achieved through deletion/truncation of alpha-helices and specific residue substitutions. Despite their 'minimal' polypeptide chain span, trHbs display an inner tunnel/cavity system held to support ligand diffusion to/from the heme distal pocket, accumulation of heme ligands within the protein matrix, and/or multiligand reactions. Moreover, trHbs bind and effectively stabilize the heme and recognize diatomic ligands (i.e., O2, CO, NO, and cyanide), albeit with varying thermodynamic and kinetic parameters. Here, structural bases for heme binding and diatomic ligand recognition by trHbs are reviewed.     

Direct in vitro action of thyroid hormones on mitochondrial RNA-polymerase

The authors show the direct in vitro action of thyroid hormones on RNA-polymerase activity in rat liver mitochondria. 3,5,3 L-triiodothyronine (L-T₃) and 3,5,3,5 L-tetraiodothyronine (L-T₄) stimulate mitochondrial RNA synthesis without either increasing the permeability of preswollen mitochondria or stimulating the synthesis of the triphosphate ribonucleotides (NTP's). Thyroid hormones do not directly depress mitochondrial RNA hydrolysis. Studies carried out with structural analogues of thyroid hormones indicate the structural specifications of the regulating system of the mitochondrial RNA-polymerase. L-T₃ and L-T₄ are also effective in vitro on mitochondria obtained from animals undergoing different hormonal and dietary treatments, with the exceptions of those fed with a hypoprotein diet. Thus, the authors suggest the possible intervention of a specific mitochondrial receptor for L-T₃ and L-T₄.     

Structure-function relationships in the growing hexa-coordinate hemoglobin sub-family

Hemoglobin and related heme proteins, generally referred to as 'globins', reversibly bind gaseous diatomic ligands (O2, NO, and CO) to a penta-coordinate heme iron atom, the ligand filling the sixth coordination site. Over the last decade, several new globins have been reported to display a functionally-relevant hexa-coordinate heme iron atom, whose sixth coordination site is taken by an endogenous protein ligand. The reversible intramolecular hexa- to penta-coordination process at the heme-Fe atom modulates exogenous ligand binding properties of hexa-coordinate globins. Here, we review current knowledge on hexa-coordinate globins in terms of their structural and functional properties.     

DynBench3D,a Web-Resource to Dynamically Generate Benchmark Sets of Large Heteromeric Protein Complexes

Multi-protein machines are responsible for most cellular tasks, and many efforts have been invested in the systematic identification and characterization of thousands of these macromolecular assemblies. However, unfortunately, the (quasi) atomic details necessary to understand their function are available only for a tiny fraction of the known complexes. The computational biology community is developing strategies to integrate structural data of different nature, from electron microscopy to X-ray crystallography, to model large molecular machines, as it has been done for individual proteins and interactions with remarkable success. However, unlike for binary interactions, there is no reliable gold-standard set of three-dimensional (3D) complexes to benchmark the performance of these methodologies and detect their limitations. Here, we present a strategy to dynamically generate non-redundant sets of 3D heteromeric complexes with three or more components. By changing the values of sequence identity and component overlap between assemblies required to define complex redundancy, we can create sets of representative complexes with known 3D structure (i.e., target complexes). Using an identity threshold of 20% and imposing a fraction of component overlap of < 0.5, we identify 495 unique target complexes, which represent a real non-redundant set of heteromeric assemblies with known 3D structure. Moreover, for each target complex, we also identify a set of assemblies, of varying degrees of identity and component overlap, that can be readily used as input in a complex modeling exercise (i.e., template subcomplexes). We hope that resources like this will significantly help the development and progress assessment of novel methodologies, as docking benchmarks and blind prediction contests did. The interactive resource is accessible at https://DynBench3D.irbbarcelona.org.     

Linking genotype to phenotype in a changing ocean: inferring the genomic architecture of a blue mussel stress response with genome‐wide association

A key component to understanding the evolutionary response to a changing climate is linking underlying genetic variation to phenotypic variation in stress response. Here, we use a genome‐wide association approach (GWAS) to understand the genetic architecture of calcification rates under simulated climate stress. We take advantage of the genomic gradient across the blue mussel hybrid zone (Mytilus edulis and Mytilus trossulus) in the Gulf of Maine (GOM) to link genetic variation with variance in calcification rates in response to simulated climate change. Falling calcium carbonate saturation states are predicted to negatively impact many marine organisms that build calcium carbonate shells – like blue mussels. We sampled wild mussels and measured net calcification phenotypes after exposing mussels to a ‘climate change’ common garden, where we raised temperature by 3°C, decreased pH by 0.2 units and limited food supply by filtering out planktonic particles >5 μm, compared to ambient GOM conditions in the summer. This climate change exposure greatly increased phenotypic variation in net calcification rates compared to ambient conditions. We then used regression models to link the phenotypic variation with over 170 000 single nucleotide polymorphism loci (SNPs) generated by genotype by sequencing to identify genomic locations associated with calcification phenotype, and estimate heritability and architecture of the trait. We identified at least one of potentially 2–10 genomic regions responsible for 30% of the phenotypic variation in calcification rates that are potential targets of natural selection by climate change. Our simulations suggest a power of 13.7% with our study's average effective sample size of 118 individuals and rare alleles, but a power of >90% when effective sample size is 900.     

Combined PDK1 and CHK1 inhibition is required to kill glioblastoma stem-like cells in vitro and in vivo

Glioblastoma (GBM) is the most common and deadly adult brain tumor. Despite aggressive surgery, radiation, and chemotherapy, the life expectancy of patients diagnosed with GBM is ∼14 months. The extremely aggressive nature of GBM results from glioblastoma stem-like cells (GSCs) that sustain GBM growth, survive intensive chemotherapy, and give rise to tumor recurrence. There is accumulating evidence revealing that GSC resilience is because of concomitant activation of multiple survival pathways. In order to decode the signal transduction networks responsible for the malignant properties of GSCs, we analyzed a collection of GSC lines using a dual, but complementary, experimental approach, that is, reverse-phase protein microarrays (RPPMs) and kinase inhibitor library screening. We treated GSCs in vitro with clinically relevant concentrations of temozolomide (TMZ) and performed RPPM to detect changes in phosphorylation patterns that could be associated with resistance. In addition, we screened GSCs in vitro with a library of protein and lipid kinase inhibitors to identify specific targets involved in GSC survival and proliferation. We show that GSCs are relatively insensitive to TMZ treatment in terms of pathway activation and, although displaying heterogeneous individual phospho-proteomic profiles, most GSCs are resistant to specific inhibition of the major signaling pathways involved in cell survival and proliferation. However, simultaneous multipathway inhibition by the staurosporin derivative UCN-01 results in remarkable inhibition of GSC growth in vitro. The activity of UCN-01 on GSCs was confirmed in two in vivo models of GBM growth. Finally, we used RPPM to study the molecular and functional effects of UCN-01 and demonstrated that the sensitivity to UCN-01 correlates with activation of survival signals mediated by PDK1 and the DNA damage response initiated by CHK1. Taken together, our results suggest that a combined inhibition of PDK1 and CHK1 represents a potentially effective therapeutic approach to reduce the growth of human GBM.