α<Subscript>1</Subscript>-Thymosin, α<Subscript>2</Subscript>-interferon,and the LKEKK syntetic peptide inhibit the binding of the B subunit of the cholera toxin to intestinal epithelial cell membranes

The ¹²⁵I-labeled B-subunit of the cholera toxin ([125I]CT-B, specific activity of 98 Ci/mmol) was prepared. This subunit was shown to be bound to the membranes which were isolated from epithelial cells of a mucous tunic of the rat thin intestine with high affinity (K _d = 3.7 nM). The binding of the labeled protein was inhibited by the unlabeled α₂-interferon (IFN-α₂), α₁-thymosin, (TM-α₁), and the LKEKK synthetic peptide corresponding to the 16–20 sequence of TM-α₁ and the 131–135 sequence of human IFN-α₂ (Ki 1.0, 1.5, and 2.0 nM, respectively), whereas the KKEKL unlabeled synthetic peptide did not inhibit the binding (K _i > 100 μМ). The LKEKK peptide and CT-B were shown to dose-dependently increase an activity of the soluble guanylate cyclase (sGC) in the concentration range from 10 to 1000 nM. Thus, the binding of TM- α₁, IFN-α₂, and the LKEKK peptide to the CT-B receptor on a surface of the epithelial cells of the mucous tunic of the rat thin intestine resulted in an increase in the intracellular level of cGMP.     

Presence of Ornithine in the Urate-binding α<Subscript>1</Subscript>—<Subscript>2</Subscript>Globulin

THE urate-binding α₁–α₂ globulin has been isolated from human plasma in a highly purified state¹. The protein was purified by DEAE-‘Sephadex’, ammonium sulphate precipitation and semi-preparative Polyacrylamide gel electrophoresis. The urate-binding α₁–α₂ globulin is a rod-shaped glycoprotein, containing 12.1% carbohydrate, with an isoelectric point of 4.6 and a molecular weight of 67,000 ± 4,000. Amino-acid analysis indicated an unknown basic compound which appeared as an extra peak just in front of lysine¹. To identify this compound, high voltage paper electrophoresis has been carried out on a plate electrophoresis apparatus in pyridine-acetate buffer pH 3.5. A spot separated out corresponding to ornithine. Amino-acid analysis on a BC-200 automatic analyser (Bio-Cal Instruments Co., West Germany), with a 54 cm column at 55° C and with 0.35 M sodium citrate buffer, pH 5.28, as elution buffer at a flow-rate of 150 ml./h, showed that ornithine was present. The presence of ornithine in the protein hydrolysate was also verified by gas chromatography/mass spectrometry².     

Effects of activation of μ-, κ<Subscript>1</Subscript>-, δ<Subscript>1</Subscript>-, δ<Subscript>2</Subscript>-, and ORL<Subscript>1</Subscript>-receptors on heart resistance to the pathogenic action of delayed ischemia and reperfusion

Different subtypes of opioid receptors (OR) were activated in rats in vivo to study the activation effect on the heart’s resistance to ischemia and reperfusion. It has been established that administration of deltorphin II, a selective δ₂-OR agonist, lowered the infarct size/area at risk index (IS/AAR) by 23%. Naltrexone, naloxone methiodide (an OR inhibitor not penetrating the blood-brain barrier (BBB)), and naltriben (δ₂-antagonist) eliminated the cardioprotective effect of deltorphin II, while BNTX (a δ₁-antagonist) produced no effect on the cardioprotective action of the δ₂-agonist. The infarct-reducing effect of deltorphin II was eliminated by administration of chelerythrine (a protein kinase C (PKC) inhibitor), glibenclamide (a K_ATP-channels inhibitor), and 5-hydroxydecanoate (a mitochondrial K_ATP-channel blocker). Administration of other opioids did not reduce the IS/AAR index. It has been established that all the deltorphins manifest antiarrhythmic potency. Other opioids do not produce any effect on the incidence of arrhythmia occurrences. The antiarrhythmic effect of deltorphin II was eliminated by preliminary administration of naltrexone, naloxone methiodide, and naltriben, but BNTX did not affect the δ₂-agonist’s anti-arrhythmic effect. The preliminary administration of chelerythrine, a PKC inhibitor, eliminated the δ₂ agonist’s antiarrhythmic action. However, glibenclamide and 5-hydroxydecanoate did not alter the antiarrhythmic effect by deltorphin II. Therefore, activation of the peripheral δ₂-ORs reduces the infarct size and prevents the onset of arrhythmias. The antiarrhythmic effect of the δ₂-OR stimulation is mediated by activating PKC and opening the mitochondrial K_ATP-channels. PKC participates in the antiarrhythmic effect of the δ₂-OR activation, but this effect does not depend on the condition of K_ATP-channels.     

Projected [<Superscript>1</Superscript>H,<Superscript>15</Superscript>N]-HMQC-[<Superscript>1</Superscript>H,<Superscript>1</Superscript>H]-NOESY for large molecular systems: application to a 121 kDa protein-DNA complex

We present a projected [¹H,¹⁵N]-HMQC-[¹H,¹H]-NOESY experiment for observation of NOE interactions between amide protons with degenerate ¹⁵N chemical shifts in large molecular systems. The projection is achieved by simultaneous evolution of the multiple quantum coherence of the nitrogen spin and the attached proton spin. In this way NOE signals can be separated from direct-correlation peaks also in spectra with low resolution by fully exploiting both ¹H and ¹⁵N frequency differences, such that sensitivity can be increased by using short maximum evolution times. The sensitivity of the experiment is not dependent on the projection angle for projections up to 45° and no additional pulses or delays are required as compared to the conventional 2D [¹H,¹⁵N]-HMQC-NOESY. The experiment provides two distinct 2D spectra corresponding to the positive and negative angle projections, respectively. With a linear combination of 1D cross-sections from the two projections the unavoidable sensitivity loss in projection spectra can be compensated for each particular NOE interaction. We demonstrate the application of the novel projection experiment for the observation of an NOE interaction between two sequential glycines with degenerate ¹⁵N chemical shifts in a 121.3 kDa complex of the linker H1 histone protein with a 152 bp linear DNA.     

Modification of the structural and functional response of the heart and systemic hemodynamics to the cardioselective β<Subscript>1</Subscript>-blockers in patients with arterial hypertension and adaptation to cold

We investigated the features of the structural and functional organization of the left heart (ventricle—LV, atrium—LA) and the state of systemic hemodynamics at rest and in response to a single dose of cardioselective β₁-blocker (BB) Egilok. We examined the patients with stage II (1–2 degrees) of arterial hypertension (AH); the study was performed in summer and winter in the northern regions of Russia. It was found that the process of adaptation to cold is accompanied by the inhibition of the pacemaker, a decrease in the rate of active diastolic blood filling of the LV and transaortic blood flow in the aortic root (VAo), an increase in the contractility of the LV posterior wall and interventricular septum (IVS). The negative chronotropic cardiac effect in these conditions results in the reduction of heart productivity per minute in 65% of cases. In winter we observed a more pronounced diastolic LV dysfunction and a decrease in the connectivity of active relaxation of LV posterior wall and LA walls with certain structural and functional cardiac parameters. In contrast to summer, in winter period BB causes a decrease in the active relaxation of LA walls and IVS and LA contractility, which leads to a decrease in the blood filling of passive and active LV. At the same time, LV systolic function (ejection fraction, VAo) and the rhythm and the performance of the heart (stroke volume and cardiac output) decreases; the hypotensive effect accompanied by an increase in peripheral vascular resistance is more pronounced. In winter, the effect of BB reduces the correlation between IVS and LV posterior wall contractions, but the feedback rate or passive to active LV diastolic hyperemia and after load increases. We suggest that in winter component “contractile apparatus” retains its the leading role in the organization of intracardiac response to the BB in patients with hypertension; in addition, new dominant components were formed: “contingency of the LV wall contraction with afterload” and “reverse contingency of early and late diastolic LV function.”     

The neural γ<Subscript>2</Subscript>α<Subscript>1</Subscript>β<Subscript>2</Subscript>α<Subscript>1</Subscript>β<Subscript>2</Subscript> gamma amino butyric acid ion channel receptor: structural analysis of the effects of the ivermectin molecule and disulfide bridges

While ~30% of the human genome encodes membrane proteins, only a handful of structures of membrane proteins have been resolved to high resolution. Here, we studied the structure of a member of the Cys-loop ligand gated ion channel protein superfamily of receptors, human type A γ₂α₁β₂α₁β₂ gamma amino butyric acid receptor complex in a lipid bilayer environment. Studying the correlation between the structure and function of the gamma amino butyric acid receptor may enhance our understanding of the molecular basis of ion channel dysfunctions linked with epilepsy, ataxia, migraine, schizophrenia and other neurodegenerative diseases. The structure of human γ₂α₁β₂α₁β₂ has been modeled based on the X-ray structure of the Caenorhabditis elegans glutamate-gated chloride channel via homology modeling. The template provided the first inhibitory channel structure for the Cys-loop superfamily of ligand-gated ion channels. The only available template structure before this glutamate-gated chloride channel was a cation selective channel which had very low sequence identity with gamma aminobutyric acid receptor. Here, our aim was to study the effect of structural corrections originating from modeling on a more reliable template structure. The homology model was analyzed for structural properties via a 100 ns molecular dynamics (MD) study. Due to the structural shifts and the removal of an open channel potentiator molecule, ivermectin, from the template structure, helical packing changes were observed in the transmembrane segment. Namely removal of ivermectin molecule caused a closure around the Leu 9 position along the ion channel. In terms of the structural shifts, there are three potential disulfide bridges between the M1 and M3 helices of the γ₂ and 2 α₁ subunits in the model. The effect of these disulfide bridges was investigated via monitoring the differences in root mean square fluctuations (RMSF) of individual amino acids and principal component analysis of the MD trajectory of the two homology models—one with the disulfide bridge and one with protonated Cys residues. In all subunit types, RMSF of the transmembrane domain helices are reduced in the presence of disulfide bridges. Additionally, loop A, loop F and loop C fluctuations were affected in the extracellular domain. In cross-correlation analysis of the trajectory, the two model structures displayed different coupling in between the M2–M3 linker region, protruding from the membrane, and the β1-β2/D loop and cys-loop regions in the extracellular domain. Correlations of the C loop, which collapses directly over the bound ligand molecule, were also affected by differences in the packing of transmembrane helices. Finally, more localized correlations were observed in the transmembrane helices when disulfide bridges were present in the model. The differences observed in this study suggest that dynamic coupling at the interface of extracellular and ion channel domains differs from the coupling introduced by disulfide bridges in the transmembrane region. We hope that this hypothesis will be tested experimentally in the near future.     

The effect of metal ions on the binding of ethanol to human alcohol dehydrogenase β<Subscript>2</Subscript>β<Subscript>2</Subscript>

Molecular docking simulations were performed in this study to investigate the importance of both structural and catalytic zinc ions in the human alcohol dehydrogenase beta(2)beta(2) on substrate binding. The structural zinc ion is not only important in maintaining the structural integrity of the enzyme, but also plays an important role in determining substrate binding. The replacement of the catalytic zinc ion or both catalytic and structural zinc ions with Cu(2+) results in better substrate binding affinity than with the wild-type enzyme. The width of the bottleneck formed by L116 and V294 in the substrate binding pocket plays an important role for substrate entrance. In addition, unfavorable contacts between the substrate and T48 and F93 prevent the substrate from moving too close to the metal ion. The optimal binding position occurs between 1.9 and 2.4 A from the catalytic metal ion.     

Physical mapping of the <Emphasis Type="Italic">Rf</Emphasis><Subscript><Emphasis Type="Italic">1</Emphasis></Subscript> fertility-restoring gene to a 100 kb region in cotton

Cytoplasmic male sterility (CMS) plays an important role in crop heterosis exploitation. Determining one or more nuclear genes that can restore male fertility to CMS is essential for developing hybrid cultivars. Genetic and physical mapping is the standard technique required for isolating these restoration genes. By screening 2,250 simple sequence repeat (SSR) primer pairs in cotton (Gossypium hirsutum L.), we identified five new SSR markers that are closely linked to the Rf ₁ gene, a fertility restorer gene of cotton for CMS-D2. Based on our previous fine mapping of the Rf ₁ gene and assemblage of three published STS markers, we constructed a high-resolution genetic map of Rf ₁ containing 13 markers in a genetic distance of 0.9 cM. The 13 molecular markers were used to screen a bacterial artificial chromosome (BAC) library from a restorer line 0-613-2R containing Rf ₁ gene, which yielded 50 single positive clones. There was an average of 3.8 clones ranging from 1 to 12 BAC clones per PCR marker. These 50 clones produced an average insert size of 120 kb (ranging between 80 and 225 kb). Thirty-five primer pairs were designed based on 38 sequences of BAC ends, and two new STS markers tightly linked to Rf ₁ gene have been tagged and integrated into this map. The physical map for the Rf ₁ gene was constructed by fingerprinting the positive clones digested with the HindIII enzyme. We were able to delimit the possible location of the Rf ₁ gene to a minimum of two BAC clones spanning an interval of approximately 100 kb between two clones designated 081-05K and 052-01N. Further work using these two BAC clones will lead to isolation of the Rf ₁ gene in cotton.     

Assessing the Efficiency of the Ability to Intentionally Variate the Power of β<Subscript>2</Subscript> Frequencies in the Frontal Lobes of the Cerebral Cortex

We performed longitudinal examinations by neurofeedback in 17 subjects. The subjects were trained for 12 training seßsions (three weeks) to voluntarily increase the intensity of the ß₂ frequencies in the frontal EEG electrodes of the right (the D scenario) and the left (the S scenario) hemispheres. All the subjects were divided into three groups depending on the training efficacy: a group of subjects that successfully controlled the ß activity in the frontal electrodes of both hemispheres (nine subjects), a group of subjects that successfully controlled this activity only in the right hemisphere (four subjects), and a group of subjects that failed to train during the specified period (four subjects). Analysis of the obtained data showed that the training efficacy depended on the cognitive activity that was focused on achieving the corresponding EEG effects and on the individual personality characteristics.     

<Superscript>1</Superscript>H, <Superscript>13</Superscript>C,and <Superscript>15</Superscript>N resonance assignments for the pro-inflammatory cytokine interleukin-36α

Interleukin-36α (IL-36α) is a recently characterised member of the interleukin-1 superfamily. It is involved in the pathogenesis of inflammatory arthritis in one third of psoriasis patients. By binding of IL-36α to its receptor IL-36R via the NF-κB pathway other cytokines involved in inflammatory and apoptotic cascade are activated. The efficacy of complex formation is controlled by N-terminal processing. To obtain a more detailed view on the structure function relationship we performed a heteronuclear multidimensional NMR investigation and here report the ¹H, ¹³C, and ¹⁵N resonance assignments for the backbone and side chain nuclei of the pro-inflammatory cytokine interleukin-36α.     

Overexpressing <Emphasis Type="Italic">GLT1</Emphasis> in <Emphasis Type="Italic">gpd1</Emphasis>Δ mutant to improve the production of ethanol of <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

To improve ethanol production in Saccharomyces cerevisiae, two yeast strains were constructed. In the mutant, KAM-4, the GPD1 gene, which encodes a glycerol 3-phosphate dehydrogenase of S. cerevisiae to synthesize glycerol, was deleted. The mutant KAM-12 had the GLT1 gene (encodes glutamate synthase) placed under the PGK1 promoter while harboring the GPD1 deletion. Notably, overexpression of GLT1 by the PGK1 promoter along with GPD1 deletion resulted in a 10.8% higher ethanol production and a 25.0% lower glycerol formation compared to the wild type in anaerobic fermentations. The growth rate of KAM-4 was slightly lower than that of the wild type under the exponential phase whereas KAM-12 and the wild type were indistinguishable in the biomass concentration at the end of growth period. Meanwhile, dramatic reduction of formation of acetate and pyruvic acid was observed in all the mutants compared to the wild type.     

Effects of NMDAR Antagonist on the Regulation of P-MARCKS Protein to Aβ<Subscript>1−42</Subscript> Oligomers Induced Neurotoxicity

Alzheimer’s disease (AD) is a well-known neurodegenerative disease. Deposition of β-amyloid protein (Aβ) oligomers plays a crucial role in the disease progression. Previous studies showed that toxicity induced by Aβ oligomers in cultured neurons and adult rat brain was partially mediated by activation of glutamatergic N-methyl-d-aspartate receptors (NMDAR). Additionally, memantine, a noncompetitive NMDAR antagonist, can significantly improve cognitive functions in some AD patients. However, little is currently known about the potential role of NMDAR antagonist on the regulation of P-MARCKS protein to Aβ_1?42 oligomers induced neurotoxicity. The protective effect and mechanism of NMDAR antagonist on primary neurons exposed to Aβ_1?42 oligomers were investigated in the study. We have defined that the Aβ_1?42 treatment decreased cell viability and increased apoptosis. Moreover, Aβ_1?42 oligomers exposure increased P-MARCKS and PIP2 expressions, while decreased SYP expression. However, NMDAR antagonist pretreatment ameliorates Aβ_1?42 oligomers induced neuronal apoptosis and partially reverses the expression of P-MARCKS, PIP2 and SYP. In conclusion, NMDAR antagonist may ameliorate neurotoxicity induced by Aβ_1?42 oligomers through reducing neuronal apoptosis and protecting synaptic plasticity in rat primary neurons. The mechanism involved may be mediated by the variation of protein P-MARCKS.     

Deciphering the binding mode of Zolpidem to GABA<Subscript>A</Subscript> α<Subscript>1</Subscript> receptor – insights from molecular dynamics simulation

To investigate the binding mode of Zolpidem to GABA(A) and to delineate the conformational changes induced upon agonist binding, we carried out atomistic molecular dynamics simulation using the ligand binding domain of GABA(A) α(1) receptor. Comparative molecular dynamics simulation of the apo and the holo form of GABA(A) receptor revealed that γ(2)/α(1) interface housing the benzodiazepine binding site undergoes distinct conformational changes upon Zolpidem binding. We notice that C loop of the α(1) subunit experiences an inward motion toward the vestibule and the F loop of γ(2) sways away from the vestibule, an observation that rationalizes Zolpidem as an alpha1 selective agonist. Energy decomposition analysis carried out was able to highlight the important residues implicated in Zolpidem binding, which were largely in congruence with the experimental data. The simulation study disclosed herein provides a meaningful insight into Zolpidem-GABA(A)R interactions and helps to arrive at a binding mode hypothesis with implications for drug design.     

Measuring the signs of the methyl <Superscript>1</Superscript>H chemical shift differences between major and ‘invisible’ minor protein conformational states using methyl <Superscript>1</Superscript>H multi-quantum spectroscopy

Carr–Purcell–Meiboom–Gill (CPMG) type relaxation dispersion experiments are now routinely used to characterise protein conformational dynamics that occurs on the μs to millisecond (ms) timescale between a visible major state and ‘invisible’ minor states. The exchange rate(s) (\( k_{{{\text{ex}}}} \)), population(s) of the minor state(s) and the absolute value of the chemical shift difference \(|{\Delta \varpi }|\) (ppm) between different exchanging states can be extracted from the CPMG data. However the sign of \({\Delta \varpi }\) that is required to reconstruct the spectrum of the ‘invisible’ minor state(s) cannot be obtained from CPMG data alone. Building upon the recently developed triple quantum (TQ) methyl \( ^{1} {\text{H}} \) CPMG experiment (Yuwen in Angew Chem 55:11490–11494, 2016) we have developed pulse sequences that use carbon detection to generate and evolve single quantum (SQ), double quantum (DQ) and TQ coherences from methyl protons in the indirect dimension to measure the chemical exchange-induced shifts of the SQ, DQ and TQ coherences from which the sign of \({\Delta \varpi }\) is readily obtained for two state exchange. Further a combined analysis of the CPMG data and the difference in exchange induced shifts between the SQ and DQ resonances and between the SQ and TQ resonances improves the estimates of exchange parameters like the population of the minor state. We demonstrate the use of these experiments on two proteins undergoing exchange: (1) the ~ 18 kDa cavity mutant of T4 Lysozyme (\( k_{{{\text{ex}}}} \sim\,3500{\text{ s}}^{{ - 1}} \)) and (2) the \(\sim\,4.7\) kDa Peripheral Sub-unit Binding Domain (PSBD) from the acetyl transferase of Bacillus stearothermophilus (\(k_{ex} \sim\,13,000\hbox { s}^{-1}\)).