A hemoprotein with a zinc-mirror heme site ties heme availability to carbon metabolism in cyanobacteria.

Heme has a critical role in the chemical framework of the cell as an essential protein cofactor and signaling molecule that controls diverse processes and molecular interactions. Using a phylogenomics-based approach and complementary structural techniques, we identify a family of dimeric hemoproteins comprising a domain of unknown function DUF2470. The heme iron is axially coordinated by two zinc-bound histidine residues, forming a distinct two-fold symmetric zinc-histidine-iron-histidine-zinc site. Together with structure-guided in vitro and in vivo experiments, we further demonstrate the existence of a functional link between heme binding by Dri1 (Domain related to iron 1, formerly ssr1698) and post-translational regulation of succinate dehydrogenase in the cyanobacterium Synechocystis, suggesting an iron-dependent regulatory link between photosynthesis and respiration. Given the ubiquity of proteins containing homologous domains and connections to heme metabolism across eukaryotes and prokaryotes, we propose that DRI (Domain Related to Iron; formerly DUF2470) functions at the molecular level as a heme-dependent regulatory domain.

Structural Characterization of Nucleic Acid Nanoparticles Using SAXS and SAXS-Driven MD.

Structural characterization of nucleic acid nanoparticles (NANPs) in solution is critical for validation of correct assembly and for quantifying the size, shape, and flexibility of the construct. Small-angle X-ray scattering (SAXS) is a well-established method to obtain structural information of particles in solution. Here, we present a procedure for the preparation of NANPs for SAXS. This procedure outlines the steps for a successful SAXS experiment and the use of SAXS-driven molecular dynamics to generate an ensemble of structures that best explain the data observed in solution. We use an RNA NANP as an example, so the reader can prepare the sample for data collection, analyze the results, and perform SAXS-driven MD on similar NANPs.

Two related families of metal transferases, ZNG1 and ZNG2, are involved in acclimation to poor Zn nutrition in Arabidopsis.

Metal homeostasis has evolved to tightly modulate the availability of metals within the cell, avoiding cytotoxic interactions due to excess and protein inactivity due to deficiency. Even in the presence of homeostatic processes, however, low bioavailability of these essential metal nutrients in soils can negatively impact crop health and yield. While research has largely focused on how plants assimilate metals, acclimation to metal-limited environments requires a suite of strategies that are not necessarily involved in metal transport across membranes. The identification of these mechanisms provides a new opportunity to improve metal-use efficiency and develop plant foodstuffs with increased concentrations of bioavailable metal nutrients. Here, we investigate the function of two distinct subfamilies of the nucleotide-dependent metallochaperones (NMCs), named ZNG1 and ZNG2, that are found in plants, using Arabidopsis thaliana as a reference organism. AtZNG1 (AT1G26520) is an ortholog of human and fungal ZNG1, and like its previously characterized eukaryotic relatives, localizes to the cytosol and physically interacts with methionine aminopeptidase type I (AtMAP1A). Analysis of AtZNG1, AtMAP1A, AtMAP2A, and AtMAP2B transgenic mutants are consistent with the role of Arabidopsis ZNG1 as a Zn transferase for AtMAP1A, as previously described in yeast and zebrafish. Structural modeling reveals a flexible cysteine-rich loop that we hypothesize enables direct transfer of Zn from AtZNG1 to AtMAP1A during GTP hydrolysis. Based on proteomics and transcriptomics, loss of this ancient and conserved mechanism has pleiotropic consequences impacting the expression of hundreds of genes, including those involved in photosynthesis and vesicle transport. Members of the plant-specific family of NMCs, ZNG2A1 (AT1G80480) and ZNG2A2 (AT1G15730), are also required during Zn deficiency, but their target protein(s) remain to be discovered. RNA-seq analyses reveal wide-ranging impacts across the cell when the genes encoding these plastid-localized NMCs are disrupted.

Co-operative binding of SKP1, Cullin1 and Cullin7 to FBXW8 results in Cullin1-SKP1-FBXW8-Cullin7 functional complex formation that monitors cellular function of ß-TrCP1.

F-box protein FBXW8 is known to interact with scaffolding protein Cullin1 and Cullin7 to form SCF (SKP1, Cullin and F-box protein) complex. However, detail understanding about the importance of both Cullins for SCF-FBXW8 complex formation as well as its ubiquitin ligase activity remains elusive. Here, we show that, through in vitro and in vivo studies, Cullin1 and Cullin7 increase each other's binding to FBXW8 synergistically. Interestingly, absence of either Cullin results in abrogation of binding of other Cullin to FBXW8. Binding of SKP1 to FBXW8 also increases in the presence of both the Cullins. Thus, SKP1, Cullin1 and Cullin7 are essential to form Cullin1-SKP1-FBXW8-Cullin7 functional ubiquitin ligase complex. Further, using computational, mutational and biochemical analysis, we found that Cullin1 binds to N-terminus of FBXW8 through SKP1 while Cullin7 associates with C-terminus of FBXW8 to form Cullin1-SKP1-FBXW8-Cullin7 functional complex in a cooperative manner. Results showed that Cullin1-SKP1-FBXW8-Cullin7 complex plays a key role in maintaining the basal level expression of ß-TrCP1. Moreover, Cullin1-SKP1-FBXW8-Cullin7 complex promotes cell migration by activating ß-catenin via directing proteasomal degradation of ß-TrCP1. Overall, our study reveals the intriguing molecular mechanism of assembly of SKP1, Cullin1, Cullin7 and FBXW8 to form Cullin1-SKP1-FBXW8-Cullin7 functional complex that control the function of ß-TrCP1.

FBXW8 regulates G1 and S phases of cell cycle progression by restricting ß-TrCP1 function.

Sequential alteration in the expression levels of cell cycle regulatory proteins is crucial for faithful cell cycle progression to maintain the cellular homeostasis. F-box protein ß-TrCP1 is known to control the expression levels of several important cell cycle regulatory proteins. However, how the function of ß-TrCP1 is regulated in spatiotemporal manner during cell cycle progression remains elusive. Here, we show that expression levels of ß-TrCP1 oscillate during cell cycle progression with a minimum level at the G1 and S phases of cell cycle. Using biochemical, flow cytometry, and immunofluorescence techniques, we found that oscillation of ß-TrCP1 expression is controlled by another F-box protein FBXW8. FBXW8 directs the proteasomal degradation of ß-TrCP1 in MAPK pathway-dependent manner. Interestingly, we found that the attenuation of ß-TrCP1 by FBXW8 is important for Cdc25A-mediated cell cycle transition from G1 phase to S phase as well as DNA damage-free progression of S phase. Overall, our study reveals the intriguing molecular mechanism and significance of maintenance of ß-TrCP1 levels during cell cycle progression by FBXW8-mediated proteasomal degradation.

CoRNeA: A Pipeline to Decrypt the Inter-Protein Interfaces from Amino Acid Sequence Information.

Decrypting the interface residues of the protein complexes provides insight into the functions of the proteins and, hence, the overall cellular machinery. Computational methods have been devised in the past to predict the interface residues using amino acid sequence information, but all these methods have been majorly applied to predict for prokaryotic protein complexes. Since the composition and rate of evolution of the primary sequence is different between prokaryotes and eukaryotes, it is important to develop a method specifically for eukaryotic complexes. Here, we report a new hybrid pipeline for predicting the protein-protein interaction interfaces in a pairwise manner from the amino acid sequence information of the interacting proteins. It is based on the framework of Co-evolution, machine learning (Random Forest), and Network Analysis named CoRNeA trained specifically on eukaryotic protein complexes. We use Co-evolution, physicochemical properties, and contact potential as major group of features to train the Random Forest classifier. We also incorporate the intra-contact information of the individual proteins to eliminate false positives from the predictions keeping in mind that the amino acid sequence of a protein also holds information for its own folding and not only the interface propensities. Our prediction on example datasets shows that CoRNeA not only enhances the prediction of true interface residues but also reduces false positive rates significantly.

Molecular and structural analysis of central transport channel in complex with Nup93 of nuclear pore complex.

The central transport channel (CTC) of nuclear pore complexes (NPCs) is made up of three nucleoporins Nup62, Nup58 and Nup54. In which manner and capacity, these nucleoporins form the CTC, is not yet clear. We explored the CTC Nups from various species and observed that distinct biochemical characteristics of CTC Nups are evolutionarily conserved. Moreover, comparative biochemical analysis of CTC complexes showed various stoichiometric combinations of Nup62, Nup54 and Nup58 coexisting together. We observed the conserved amino-terminal domain of mammalian Nup93 is crucial for the anchorage of CTC and its localization to NPCs. We could reconstitute and purify mammalian CTC·Nup93 quaternary complex by co-expressing full length or N-terminal domain of Nup93 along with CTC complex. Further, we characterized CTC·Nup93 complex using small angle X-ray scattering and electron microscopy that revealed a "V" shape of CTC·Nup93 complex. Overall, this study demonstrated for the first time evolutionarily conserved plasticity and stoichiometric diversity in CTC Nups.

Evolutionary divergence of the nuclear pore complex from fungi to metazoans.

Nuclear pore complex (NPC) is the largest multimeric protein assembly of the eukaryotic cell, which mediates the nucleocytoplasmic transport. The constituent proteins of this assembly (nucleoporins) are present in varying copy numbers to give a size from ~ 60 MDa (yeast) to 112 MDa (human) and share common ancestry with other membrane-associated complexes such as COPI/COPII and thus share the same structural folds. However, the nucleoporins across species exhibit very low percentage sequence similarity and this reflects in their distinct secondary structure and domain organization. We employed thorough sequence and phylogenetic analysis guided from structure-based alignments of all the nucleoporins from fungi to metazoans to understand the evolution of NPC. Through evolutionary pressure analysis on various nucleoporins, we deduced that these proteins are under differential selection pressure and hence the homologous interacting partners do not complement each other in the in vitro pull-down assay. The super tree analysis of all nucleoporins taken together illustrates divergent evolution of nucleoporins and notably, the degree of divergence is more apparent in higher order organisms as compared to lower species. Overall, our results support the hypothesis that the protein-protein interactions in such large multimeric assemblies are species specific in nature and hence their structure and function should also be studied in an organism-specific manner.

Identification of Plasmodium falciparum apicoplast-targeted tRNA-guanine transglycosylase and its potential inhibitors using comparative genomics, molecular modelling, docking and simulation studies.

tRNA modifications play an important role in the proper folding of tRNA and thereby determine its functionality as an adaptor molecule. Notwithstanding the centrality of this basic process in translation, a major gap in the genomics of Plasmodium falciparum is unambiguous identification of enzymes catalysing the various tRNA modifications. In this study, tRNA-modifying enzymes of P. falciparum were annotated using homology-based approach. Based on the presence of these identified enzymes, the modifications were compared with those of prokaryotic and eukaryotic organisms. Through sequence comparison and phylogenetic analysis, we have identified P. falciparum apicoplast tRNA-guanine 34 transglycosylase (TGT, EC: 2.4.2.29), which shows evidence of its prokaryotic origin. The docking analysis of the modelled TGT structures revealed that binding of quinazolinone derivatives is more favourable with P. falciparum apicoplast TGT as compared to human TGT. Molecular dynamic simulation and molecular mechanics/generalized Born surface area analysis of the complex confirmed the greater binding affinity of the ligand in the binding pocket of P. falciparum TGT protein. Further, evolutionary patterning analysis identified the amino acids of P. falciparum apicoplast TGT that are under purifying selection pressure and hence can be good inhibitor-targeting sites. Based on these computational studies, we suggest that P. falciparum apicoplast tRNA-guanine 34 transglycosylase can be a promising drug target.