1h, 13c, and 15N NMR backbone assignments and chemical-shift-derived secondary structure of glutamine-binding protein of Escherichia coli

1H, 13C, and 15N NMR assignments of the backbone atoms and -carbons have been madefor liganded glutamine-binding protein (GlnBP) of Escherichia coli, a monomeric protein with226 amino acid residues and a molecular weight of 24,935 Da. GlnBP is a periplasmicbinding protein which plays an essential role in the active transport of L-glutamine throughthe cytoplasmic membrane. The assignments have been obtained from three-dimensionaltriple-resonance NMR experiments on a 13C,15N uniformly labeled sample as well asspecifically labeled samples. Results from the 3D triple-resonance experiments, HNCO,HN(CO)CA, HN(COCA)HA, HNCA, HN(CA)HA, HN(CA)CO, and CBCA(CO)NH, are themain sources used to make the resonance assignments. Other 3D experiments, such asHNCACB, COCAH, HCACO, HCACON, and HOHAHA-HMQC, have been used to confirmthe resonance assignments and to extend connections where resonance peaks are missing insome of the experiments mentioned above. We have assigned more than 95% of thepolypeptide backbone resonances of GlnBP. The result of the standard manual assignment isin agreement with that predicted by an automated probabilistic method developed in ourlaboratory. A solution secondary structure of the GlnBP–Gln complex has beenproposed based on chemical shift deviations from random coil values. Eight -helices and10 -strands are derived using the Chemical Shift Index method.     

Phase labeling of C−H and C−C spin-system topologies: Application in constant-time PFG-CBCA(CO)NH experiments for discriminating amino acid spin-system types

Summary Triple-resonance experiments facilitate the determination of sequence-specific resonance assignments of medium-sized ¹³C, ¹⁵N-enriched proteins. Some triple-resonance experiments can also be used to obtain information about amino acid spin-system topologies by proper delay tuning. The constant-time PFG-CBCA(CO)NH experiment allows discrimination between five different groups of amino acids by tuning (phase labeling) independently the delays for proton-carbon refocusing and carbon-carbon constant-time frequency labeling. The proton-carbon refocusing delay allows discrimination of spin-system topologies based on the number of protons attached to C and C atoms (i.e. C-H phase labeling). In addition, tuning of the carbon-carbon constant-time frequency-labeling delay discriminates topologies based on the number of carbons directly coupled to C and C atoms (i.e. C-C phase labeling). Classifying the spin systems into these five groups facilitates identification of amino acid types, making both manual and automated analysis of assignments easier. The use of this pair of optimally tuned PFG-CBCA(CO)NH experiments for distinguishing five spin-system topologies is demonstrated for the 124-residue bovine pancreatic ribonuclease A protein.     

Quantifying Lipari–Szabo modelfree parameters from 13CO NMR relaxation experiments

It is proposed to obtain effective Lipari–Szabo order parameters and local correlation times for relaxation vectors of protein ¹³CO nuclei by carrying out a ¹³CO-R₁ auto relaxation experiment, a transverse CSA/dipolar cross correlation and a transverse ¹³CO CSA/¹³CO–¹⁵N CSA/dipolar cross correlation experiment. Given the global rotational correlation time from ¹⁵N relaxation experiments, a new program COMFORD (CO-Modelfree Fitting Of Relaxation Data) is presented to fit the ¹³CO data to an effective order parameter , an effective local correlation time and the orientation of the CSA tensor with respect to the molecular frame. It is shown that the effective is least sensitive to rotational fluctuations about an imaginary axis and most sensitive to rotational fluctuations about an imaginary axis parallel to the NH bond direction. As such, the information is fully complementary to the ¹⁵N relaxation order parameter, which is least sensitive to fluctuations about the NH axis and most sensitive to fluctuations about the axis. The new paradigm is applied on data of Ca²⁺ saturated Calmodulin, and on available literature data for Ubiquitin. Our data indicate that the order parameters rapport on slower, and sometimes different, motions than the ¹⁵N relaxation order parameters. The CO local correlation times correlate well with the calmodulin’s secondary structure. Electronic Supplementary Material Supplementary material is available to authorized users in the online version of this article at .     

Application of multiple-quantum line narrowing with simultaneous 1H and 13C constant-time scalar-coupling evolution in PFG-HACANH and PFG-HACA(CO)NH triple-resonance experiments

Many triple-resonance experiments make use of one-bond heteronuclear scalar couplings toestablish connectivities among backbone and/or side-chain nuclei. In medium-sized(15–30 kDa) proteins, short transverse relaxation times of C single-quantum stateslimit signal-to-noise (S/N) ratios. These relaxation properties can be improved usingheteronuclear multiple-quantum coherences (HMQCs) instead of heteronuclear single-quantumcoherences (HSQCs) in the pulse sequence design. In slowly tumbling macromolecules, theseHMQCs can exhibit significantly better transverse relaxation properties than HSQCs.However, HMQC-type experiments also exhibit resonance splittings due to multiple two- andthree-bond homo- and heteronuclear scalar couplings. We describe here a family of pulsed-field gradient (PFG) HMQC-type triple-resonance experiments using simultaneous 1H and13C constant-time (CT) periods to eliminate the t1 dependence of these scalar couplingeffects. These simultaneous CT PFG-(HA)CANH and PFG-(HA)CA(CO)NH HMQC-typeexperiments exhibit sharper resonance line widths and often have better S/N ratios than thecorresponding HSQC-type experiments. Results on proteins ranging in size from 6 to 30 kDashow average methine CH HMQC:HSQC enhancement factors of 1.10 ± 0.15, withabout 40% of the cross peaks exhibiting better S/N ratios in the simultaneous CT-HMQCversions compared with the HSQC versions.     

Detection of novel recombinases in bacteriophage genomes unveils Rad52, Rad51 and Gp2.5 remote homologs

Homologous recombination is a key in contributing to bacteriophages genome repair, circularization and replication. No less than six kinds of recombinase genes have been reported so far in bacteriophage genomes, two (UvsX and Gp2.5) from virulent, and four (Sak, Redβ, Erf and Sak4) from temperate phages. Using profile–profile comparisons, structure-based modelling and gene-context analyses, we provide new views on the global landscape of recombinases in 465 bacteriophages. We show that Sak, Redβ and Erf belong to a common large superfamily adopting a shortcut Rad52-like fold. Remote homologs of Sak4 are predicted to adopt a shortcut Rad51/RecA fold and are discovered widespread among phage genomes. Unexpectedly, within temperate phages, gene-context analyses also pinpointed the presence of distant Gp2.5 homologs, believed to be restricted to virulent phages. All in all, three major superfamilies of phage recombinases emerged either related to Rad52-like, Rad51-like or Gp2.5-like proteins. For two newly detected recombinases belonging to the Sak4 and Gp2.5 families, we provide experimental evidence of their recombination activity in vivo. Temperate versus virulent lifestyle together with the importance of genome mosaicism is discussed in the light of these novel recombinases. Screening for these recombinases in genomes can be performed at http://biodev.extra.cea.fr/virfam.     

1H, 15N, 13C and 13CO assignments and secondary structure determination of basic fibroblast growth factor using 3D heteronuclear NMR spectroscopy

Summary The assignments of the ¹H, ¹⁵N, ¹³CO and ¹³C resonances of recombinant human basic fibroblast growth factor (FGF-2), a protein comprising 154 residues and with a molecular mass of 17.2 kDa, is presented based on a series of three-dimensional triple-resonance heteronuclear NMR experiments. These studies employ uniformly labeled ¹⁵N- and ¹⁵N-/¹³C-labeled FGF-2 with an isotope incorporation >95% for the protein expressed in E. coli. The sequence-specific backbone assignments were based primarily on the interresidue correlation of C, C and H to the backbone amide ¹H and ¹⁵N of the next residue in the CBCA(CO)NH and HBHA(CO)NH experiments and the intraresidue correlation of C, C and H to the backbone amide ¹H and ¹⁵N in the CBCANH and HNHA experiments. In addition, C and C chemical shift assignments were used to determine amino acid types. Sequential assignments were verified from carbonyl correlations observed in the HNCO and HCACO experiments and C correlations from the carbonyl correlations observed in the HNCO and HCACO experiments and C correlations from the HNCA experiment. Aliphatic side-chain spin systems were assigned primarily from H(CCO)NH and C(CO)NH experiments that correlate all the aliphatic ¹H and ¹³C resonances of a given residue with the amide resonance of the next residue. Additional side-chain assignments were made from HCCH-COSY and HCCH-TOCSY experiments. The secondary structure of FGF-2 is based on NOE data involving the NH, H and H protons as well as ³J_H n _H coupling constants, amide exchange and ¹³C and ¹³C secondary chemical shifts. It is shown that FGF-2 consists of 11 well-defined antiparallel -sheets (residues 30–34, 39–44, 48–53, 62–67, 71–76, 81–85, 91–94, 103–108, 113–118, 123–125 and 148–152) and a helix-like structure (residues 131–136), which are connected primarily by tight turns. This structure differs from the refined X-ray crystal structures of FGF-2, where residues 131–136 were defined as -strand XI. The discovery of the helix-like region in the primary heparin-binding site (residues 128–138) instead of the -strand conformation described in the X-ray structures may have important implications in understanding the nature of heparin-FGF-2 interactions. In addition, two distinct conformations exist in solution for the N-terminal residues 9–28. This is consistent with the X-ray structures of FGF-2, where the first 17–19 residues were ill defined.     

Automated probabilistic method for assigning backbone resonances of (13C,15N)-labeled proteins

We present a computer algorithm for the automated assignment of polypeptide backbone and13C resonances of a protein of known primary sequence. Input to the algorithm consistsof cross peaks from several 3D NMR experiments: HNCA, HN(CA)CO, HN(CA)HA,HNCACB, COCAH, HCA(CO)N, HNCO, HN(CO)CA, HN(COCA)HA, and CBCA(CO)NH.Data from these experiments performed on glutamine-binding protein are analyzed statisticallyusing Bayes' theorem to yield objective probability scoring functions for matching chemicalshifts. Such scoring is used in the first stage of the algorithm to combine cross peaks fromthe first five experiments to form intraresidue segments of chemical shifts{Ni,HiN,Ci,Ci,Ci}, while the latter five are combined into interresiduesegments {Ci,Ci,Ci,Ni+1,HNi+1}. Given a tentative assignment of segments,the second stage of the procedure calculates probability scores based on the likelihood ofmatching the chemical shifts of each segment with (i) overlapping segments; and (ii) chemicalshift distributions of the underlying amino acid type (and secondary structure, if known). Thisjoint probability is maximized by rearranging segments using a simulated annealing program,optimized for efficiency. The automated assignment program was tested using CBCANH andCBCA(CO)NH cross peaks of the two previously assigned proteins, calmodulin and CheA.The agreement between the results of our method and the published assignments wasexcellent. Our algorithm was also applied to the observed cross peaks of glutamine-bindingprotein of Escherichia coli, yielding an assignment in excellent agreement with that obtainedby time-consuming, manual methods. The chemical shift assignment procedure described hereshould be most useful for NMR studies of large proteins, which are now feasible with the useof pulsed-field gradients and random partial deuteration of samples.     

Assignments and structure determination of the catalytic domain of human fibroblast collagenase using 3D double and triple resonance NMR spectroscopy

We report here the backbone 1HN, 15N, 13C, 13CO, and 1H NMR assignmentsfor the catalytic domain of human fibroblast collagenase (HFC). Three independentassignment pathways (matching 1H, 13C, and 13CO resonances) were used to establishsequential connections. The connections using 13C resonances were obtained fromHNCOCA and HNCA experiments; 13CO connections were obtained from HNCO andHNCACO experiments. The sequential proton assignment pathway was established from a 3D(1H/15N) NOESY-HSQC experiment. Amino acid typing was accomplished using 13C and15N chemical shifts, specific labeling of 15N-Leu, and spin pattern recognition from DQF-COSY. The secondary structure was determined by analyzing the 3D (1H/15N) NOESY-HSQC. A preliminary NMR structure calculation of HFC was found to be in agreement withrecent X-ray structures of human fibroblast collagenase and human neutrophil collagenase aswell as similar to recent NMR structures of a highly homologous protein, stromelysin. Allthree helices were located; a five-stranded -sheet (four parallel strands, one antiparallelstrand) was also determined. -Sheet regions were identified by cross-stranddN and dNN connections and by strong intraresidue dN correlations, and were corroborated byobserving slow amide proton exchange. Chemical shift changes in a selectively 15N-labeledsample suggest that substantial structural changes occur in the active site cleft on the bindingof an inhibitor.     

Phase labeling of C−H and C−C spin-system topologies: Application in PFG-HACANH and PFG-HACA(CO)NH triple-resonance experiments for determining backbone resonance assignments in proteins

Summary Triple-resonance experiments can be designed to provide useful information on spin-system topologies. In this paper we demonstrate optimized proton and carbon versions of PFG-CT-HACANH and PFG-CT-HACA(CO)NH straight-through triple-resonance experiments that allow rapid and almost complete assignments of backbone H, ¹³C, ¹⁵N and H^N resonances in small proteins. This work provides a practical guide to using these experiments for determining resonance assignments in proteins, and for identifying both intraresidue and sequential connections involving glycine residues. Two types of delay tunings within these pulse sequences provide phase discrimination of backbone Gly C and H resonances: (i) C–H phase discrimination by tuning of the refocusing period _{a_f}; (ii) C–C phase discrimination by tuning of the ¹³C constant-time evolution period 2T_c. For small proteins, C–C phase tuning provides better S/N ratios in PFG-CT-HACANH experiments while C–H phase tuning provides better S/N ratios in PFG-CT-HACA(CO)NH. These same principles can also be applied to triple-resonance experiments utilizing ¹³C-¹³C COSY and TOCSY transfer from peripheral side-chain atoms with detection of backbone amide protons for classification of side-chain spin-system topologies. Such data are valuable in algorithms for automated analysis of resonance assignments in proteins.     

The solution structure of a gallium-substituted putidaredoxin mutant: GaPdx C85S

The Fe₂S₂ cluster of the ferredoxin putidaredoxin (Pdx) can be replaced by a single gallium ion, giving rise to a colorless, diamagnetic protein in which, apart from the metal binding site, the major structural features of the native ferredoxin are conserved. The solution structure of the C85S variant of gallium putidaredoxin (C85S GaPdx), in which a non-ligand cysteine is replaced by a serine, has been determined via multidimensional NMR methods using uniformly ¹⁵N,¹³C labeled samples of C85S GaPdx. Stereospecific assignments of leucine and valine methyl resonances were made using ¹³C,¹H HSQC spectra obtained with fractionally ¹³C-labeled samples, and backbone dihedral angle restraints were obtained using a combination of two-dimensional J-modulated ¹⁵N,¹H HSQC and three-dimensional (HN)CO(CO)NH experiments. A total of 1117 NOE-derived distance restraints were used in the calculations, including 454 short range ($i - j 3$), 456 long range (i - j 4) interresidue restraints and 207 non-trivial intraresidue restraints. 97 and 55 ₁ angular restraints were also included in the calculation of a family of 20 structures using a combined distance geometry-simulated annealing protocol. Most regions of the protein are well defined in the calculations, with an RMSD of 0.525 Å for backbone atoms excluding the metal binding loop (residues 34–48) and the last three C-terminal residues (residues 103–106). Where comparison is possible, these regions show an increase in dynamic behavior over the native protein, as does the loop containing residues 74–76. Structural and dynamic differences between native Pdx and GaPdx are discussed in relation to charge and packing of the metal binding site.     

Sak serine-threonine kinase acts as an effector of Tec tyrosine kinase

The murine sak gene encodes a putative serine-threonine kinase which is homologous to the members of the Plk/Polo family. Although Sak protein is presumed to be involved in cell growth mechanism, efforts have failed to demonstrate its kinase activity. Little has been, therefore, elucidated how Sak is regulated and how Sak contributes to cell proliferation. Tec is a cytoplasmic protein-tyrosine kinase (PTK) which becomes activated by the stimulation of cytokine receptors, lymphocyte surface antigens, heterotrimeric G protein-linked receptors, and integrins. To clarify the in vivo function of Tec, we have tried to isolate the second messengers of Tec by using the yeast two-hybrid screening. One of such Tec-binding proteins turned out to be Sak. In human kidney 293 cells, Sak became tyrosine-phosphorylated by Tec, and the serine-threonine kinase activity of Sak was detected only under the presence of Tec, suggesting Sak to be an effector molecule of Tec. In addition, Tec activity efficiently protects Sak from the "PEST" sequence-dependent proteolysis. Internal deletion of the PEST sequences led to the stabilization of Sak proteins, and expression of these mutants acted suppressive to cell growth. Our data collectively supports a novel role of Sak acting in the PTK-mediated signaling pathway.     

Cloning and expression in Escherichia coli, Bacillus subtilis, and Streptococcus sanguis of a gene for staphylokinase--a bacterial plasminogen activator

Summary The gene coding for the bacterial plasminogen activator staphylokinase was cloned from the Staphylococcus aureus phage 42D, a serogroup F phage used for lysotyping, onto the standard Escherichia coli plasmid vector pACYC184. The coding and flanking sequences of the sak42D gene were largely identical to those of a sak gene cloned from the serologically different S. aureus phage SøC (Sako and Tsuchida 1983). Subcloning of a 2.5 kb phage 42D DNA fragment onto plasmid pGB3631 allowed the sak42D gene to be introduced into the gram-positive hosts Bacillus subtilis and Streptococcus sanguis. The sak42D gene was expressed and secreted most efficiently by B. subtilis cells (25 g/ml of culture supernatant) reduced in exoprotease production. In this host expression and secretion of Sak was initiated at the early growth phase and continued through the logarithmic phase. Formation of Sak was, however, also observed with the other cloning hosts. The Sak elaborated by the heterologous hosts was serologically identical with authentic Sak derived from S. aureus.     

Improved lineshape and sensitivity in the HNCO-family of triple resonance experiments

A simple scheme is presented for the suppression of dispersive contributions to cross peaks in HNCO-type spectra where the ¹⁵N chemical shift is recorded in a constant-time manner immediately prior to the transfer from ¹⁵ N to ¹HN at the end of the sequence. These dispersive contributions arise when the delay for refocusing the ¹⁵N-¹³CO one-bond coupling is set to less than 0.5/¹J_N,CO and when ² J_HN,CO 0. Improvements in sensitivity in ¹HN detected experiments recorded on ¹⁵ N,¹³C-labeled samples can be realized by application of ¹³CO/¹³ decoupling during acquisition. Sensitivity gains on the order of 15% and 5% have been obtained for an SH3 domain (62 residues) and maltose binding protein (370 residues), respectively.     

Roles of the Snf1-Activating Kinases during Nitrogen Limitation and Pseudohyphal Differentiation in Saccharomyces cerevisiae

In Saccharomyces cerevisiae, Snf1 protein kinase is important for growth on carbon sources that are less preferred than glucose. When glucose becomes limiting, Snf1 undergoes catalytic activation, which requires phosphorylation of its T-loop threonine (Thr210). Thr210 phosphorylation can be performed by any of three Snf1-activating kinases: Sak1, Tos3, and Elm1. These kinases are redundant in that all three must be eliminated to confer snf1Δ-like growth defects on nonpreferred carbon sources. We previously showed that in addition to glucose signaling, Snf1 also participates in nitrogen signaling and is required for diploid pseudohyphal differentiation, a filamentous-growth response to nitrogen limitation. Here, we addressed the roles of the Snf1-activating kinases in this process. Loss of Sak1 caused a defect in pseudohyphal differentiation, whereas Tos3 and Elm1 were dispensable. Sak1 was also required for increased Thr210 phosphorylation of Snf1 under nitrogen-limiting conditions. Expression of a catalytically hyperactive version of Snf1 restored pseudohyphal differentiation in the sak1Δ/sak1Δ mutant. Thus, while the Snf1-activating kinases exhibit redundancy for growth on nonpreferred carbon sources, the loss of Sak1 alone produced a significant defect in a nitrogen-regulated phenotype, and this defect resulted from deficient Snf1 activation rather than from disruption of another pathway. Our results suggest that Sak1 is involved in nitrogen signaling upstream of Snf1.Snf1 protein kinase of the yeast Saccharomyces cerevisiae belongs to the conserved Snf1/AMP-activated protein kinase (AMPK) family; members of this family play central roles in responses to metabolic stress in eukaryotes (reviewed in references 17 and 18). Interest in Snf1/AMPK pathways is high due to their important functions. Deregulation of AMPK signaling in humans has been linked to type 2 diabetes, heart disease, and cancer (for a review, see reference 16). Snf1 homologs of pathogenic fungi have been implicated in virulence and drug resistance (23, 63, 64).Yeast Snf1 (Cat1, Ccr1) was first identified by its requirement for growth on carbon sources that are less preferred than glucose (5, 7, 65). Subsequent evidence indicated that Snf1 protein kinase (6) is directly involved in glucose signaling, since its activity is stimulated in response to glucose limitation (62). Catalytic activation of Snf1 occurs through phosphorylation of its conserved T-loop threonine (Thr210) (12) by upstream kinases (40, 62). Three protein kinases—Sak1, Tos3, and Elm1—have been identified that can phosphorylate Thr210 of Snf1 (22, 41, 55). These kinases are related to the mammalian kinases that activate AMPK by phosphorylating the equivalent T-loop threonine (Thr172) (reviewed in references 17 and 18). We recently presented evidence that Snf1 homologs of two pathogenic Candida species, Candida albicans and C. glabrata, also undergo T-loop phosphorylation (42).It is not entirely clear why S. cerevisiae has three different kinases that can activate Snf1. Judging by assays of Snf1 kinase activity, Sak1 makes the largest individual contribution to Snf1 activation in the cell (19, 22). However, deletion of SAK1 alone does not result in growth defects on alternative carbon sources, and all three Snf1-activating kinases must be eliminated to produce a phenotypic defect comparable to that of the snf1Δ mutant (22, 39, 55). Deletion of TOS3 was reported to moderately affect growth on nonfermentable carbon sources; this correlated with a reduction in Snf1 activity, although effects on another pathway(s) cannot be excluded (25). Mutation of ELM1 affects cell cycle progression and cell morphology, but this effect is unrelated to Elm1''s role as a Snf1-activating kinase and pertains to its role in the activation of Nim1-related protein kinases involved in morphogenesis checkpoint control (1, 56).While showing significant redundancy for growth on nonpreferred carbon sources, the Snf1-activating kinases could exhibit specialization in Snf1 signaling in response to stresses other than carbon stress. Evidence indicates that Snf1 is important for adaptation to a number of stress conditions (reviewed in reference 18). In some cases, such as genotoxic stress or exposure to hygromycin B, weak activity of unphosphorylated Snf1 appears to be sufficient for resistance (10, 48). In others, such as sodium ion stress and alkaline stress, Thr210 phosphorylation of Snf1 is required for adaptation, and Snf1 becomes activated upon stress exposure (21, 40). As with glucose limitation, however, in these latter cases Sak1 makes the largest contribution to Snf1 activation judging by biochemical assays, and yet it remains dispensable for wild-type levels of stress-resistant growth in phenotypic tests; loss of all three Snf1-activating kinases results in growth defects comparable to those of cells lacking Snf1 (21). Thus, investigation of these stresses provided no evidence for phenotypically relevant specialization of Sak1, Tos3, or Elm1 in Snf1 signaling.Diploid pseudohyphal differentiation is a developmental response to nitrogen limitation (15). When nitrogen becomes limiting, diploid cells adopt elongated morphology, alter their budding pattern, and generate filaments (pseudohyphae) consisting of chains of cells attached to one another. One of the key events in this process is activation of the FLO11 (MUC1) gene, which encodes a cell surface glycoprotein involved in cell-cell adhesion (29, 33, 34). Following up on an observation that Snf1 is important for FLO11 expression on low glucose, we previously found that diploids lacking Snf1 fail to undergo pseudohyphal differentiation on low nitrogen (27, 28). The requirement of Snf1 for a nitrogen-regulated process raised the possibility that Snf1 is directly involved in nitrogen signaling. In support of this notion, we subsequently showed that weak activity of nonphosphorylatable Snf1-T210A is not sufficient for pseudohyphal differentiation and that Thr210 phosphorylation of Snf1 increases in response to nitrogen limitation (43).Here, we have examined the roles of Sak1, Tos3, and Elm1 in pseudohyphal differentiation and Snf1 activation on low nitrogen. We show that elimination of Sak1 leads to a significant defect in nitrogen-regulated pseudohyphal differentiation, whereas Tos3 and Elm1 are dispensable. Sak1 is also required for normal Thr210 phosphorylation of Snf1 under nitrogen-limiting conditions. Our data strongly suggest that the loss of Sak1 affects pseudohyphal differentiation by affecting Snf1 activation and not by disruption of another pathway. Collectively, our findings implicate Sak1 in nitrogen signaling upstream of Snf1.     

A refined model for the solution structure of oxidized putidaredoxin

A refined model for the solution structure of oxidized putidaredoxin (Pdxo), a Cys4Fe2S2 ferredoxin, has been determined. A previous structure (Pochapsky et al. (1994) Biochemistry 33, 6424-6432; PDB entry ) was calculated using the results of homonuclear two-dimensional NMR experiments. New data has made it possible to calculate a refinement of the original Pdxo solution structure. First, essentially complete assignments for diamagnetic 15N and 13C resonances of Pdxo have been made using multidimensional NMR methods, and 15N- and 13C-resolved NOESY experiments have permitted the identification of many new NOE restraints for structural calculations. Stereospecific assignments for leucine and valine CH3 resonances were made using biosynthetically directed fractional 13C labeling, improving the precision of NOE restraints involving these residues. Backbone dihedral angle restraints have been obtained using a combination of two-dimensional J-modulated 15N,1H HSQC and 3D (HN)CO(CO)NH experiments. Second, the solution structure of a diamagnetic form of Pdx, that of the C85S variant of gallium putidaredoxin, in which a nonligand Cys is replaced by Ser, has been determined (Pochapsky et al. (1998) J. Biomol. NMR 12, 407-415), providing information concerning structural features not observable in the native ferredoxin due to paramagnetism. Third, a crystal structure of a closely related ferredoxin, bovine adrenodoxin, has been published (Müller et al. (1998) Structure 6, 269-280). This structure has been used to model the metal binding site structure in Pdx. A family of fourteen structures is presented that exhibits an rmsd of 0.51 A for backbone heavy atoms and 0.83 A for all heavy atoms. Exclusion of the modeled metal binding loop region reduces overall the rmsd to 0.30 A for backbone atoms and 0.71 A for all heavy atoms.     

Side chain NMR assignments in the membrane protein OmpX reconstituted in DHPC micelles

Sequence-specific assignments have been obtained for side chain methyl resonances of Val, Leu and Ile in the outer membrane protein X (OmpX) from Escherichia colireconstituted in 60 kDa micelles in aqueous solution. Using previously established techniques, OmpX was uniformly ²H,¹³C,¹⁵N-labeled with selectively protonated Val-^1,2, Leu-^1,2and Ile-¹methyl groups. The thus labeled protein was studied with the novel experiments 3D (H)C(CC)-TOCSY-(CO)-[¹⁵N,¹H]-TROSY and 3D H(C)(CC)-TOCSY-(CO)-[¹⁵N,¹H]-TROSY. Compared to the corresponding conventional experimental schemes, the TROSY-type experiments yielded a sensitivity gain of about 2 at 500 MHz. The overall sensitivity of the experiments was further enhanced more than two-fold by the use of a cryoprobe. Complete assignments of the proton and carbon chemical shifts were obtained for all isopropyl methyl groups of Val and Leu, as well as for the ¹-methyls of Ile. The present approach is applicable for soluble proteins or micelle-reconstituted membrane proteins in structures with overall molecular weights up to about 100 kDa, and adds to the potentialities of solution NMR for de novostructure determination as well as for functional studies, such as ligand screening with proteins in large structures.     

Reduced dimensionality (4,3)D-hnCOCANH experiment: an efficient backbone assignment tool for NMR studies of proteins

Sequence specific resonance assignment of proteins forms the basis for variety of structural and functional proteomics studies by NMR. In this context, an efficient standalone method for rapid assignment of backbone (¹H, ¹⁵N, ¹³C^α and ¹³C′) resonances of proteins has been presented here. Compared to currently available strategies used for the purpose, the method employs only a single reduced dimensionality experiment—(4,3)D-hnCOCANH and exploits the linear combinations of backbone (¹³C^α and ¹³C′) chemical shifts to achieve a dispersion relatively better compared to those of individual chemical shifts (see the text). The resulted increased dispersion of peaks—which is different in sum (CA + CO) and difference (CA ? CO) frequency regions—greatly facilitates the analysis of the spectrum by resolving the problems (associated with routine assignment strategies) arising because of degenerate amide ¹⁵N and backbone ¹³C chemical shifts. Further, the spectrum provides direct distinction between intra- and inter-residue correlations because of their opposite peak signs. The other beneficial feature of the spectrum is that it provides: (a) multiple unidirectional sequential (i→i + 1) ¹⁵N and ¹³C correlations and (b) facile identification of certain specific triplet sequences which serve as check points for mapping the stretches of sequentially connected HSQC cross peaks on to the primary sequence for assigning the resonances sequence specifically. On top of all this, the F ₂–F ₃ planes of the spectrum corresponding to sum (CA + CO) and difference (CA ? CO) chemical shifts enable rapid and unambiguous identification of sequential HSQC peaks through matching their coordinates in these two planes (see the text). Overall, the experiment presented here will serve as an important backbone assignment tool for variety of structural and functional proteomics and drug discovery research programs by NMR involving well behaved small folded proteins (MW < 15 kDa) or a range of intrinsically disordered proteins.      

DSas-6 and Ana2 coassemble into tubules to promote centriole duplication and engagement

Centrioles form cilia and centrosomes, organelles whose dysfunction is increasingly linked to human disease. Centriole duplication relies on a few conserved proteins (ZYG-1/Sak/Plk4, SAS-6, SAS-5/Ana2, and SAS-4), and is often initiated by the formation of an inner "cartwheel" structure. Here, we show that overexpressed Drosophila Sas-6 and Ana2 coassemble into extended tubules (SAStubules) that bear a striking structural resemblance to the inner cartwheel of the centriole. SAStubules specifically interact with centriole proximal ends, but extra DSas-6/Ana2 is only recruited onto centrioles when Sak/Plk4 kinase is also overexpressed. This extra centriolar DSas-6/Ana2 induces centriole overduplication and, surprisingly, increased centriole cohesion. Intriguingly, we observe tubules that are structurally similar to SAStubules linking the engaged centrioles in normal wild-type cells. We conclude that DSas-6 and Ana2 normally cooperate to drive the formation of the centriole inner cartwheel and that they promote both centriole duplication and centriole cohesion in a Sak/Plk4-dependent manner.