Contribution of Plasmodium immunomics: potential impact for serological testing and surveillance of malaria

Introduction: Plasmodium vivax (Pv) and P. knowlesi account together for a considerable share of the global burden of malaria, along with P. falciparum (Pf). However, inaccurate diagnosis and undetectable asymptomatic/submicroscopic malaria infections remain very challenging. Blood-stage antigens involved in either invasion of red blood cells or sequestration/cytoadherence of parasitized erythrocytes have been immunomics-characterized, and are vital for the detection of malaria incidence.

Areas covered: We review the recent advances in Plasmodium immunomics to discuss serological markers with potential for specific and sensitive diagnosis of malaria. Insights on alternative use of immunomics to assess malaria prevalence are also highlighted. Finally, we provide practical applications of serological markers as diagnostics, with an emphasis on dot immunogold filtration assay which holds promise for malaria diagnosis and epidemiological surveys.

Expert commentary: The approach largely contributes to Pf and Pv research in identifying promising non-orthologous antigens able to detect malaria incidence and to differentiate between past and recent infections. However, further studies to profiling naturally acquired immune responses are expected in order to help discover/validate serological markers of no cross-seroreactivity and guide control interventions. More so, the application of immunomics to knowlesi infections would help validate the recently identified antigens and contribute to the discovery of additional biomarkers of exposure, immunity, or both.     

Superparamagnetic graphene quantum dot as a dual‐modality contrast agent for confocal fluorescence microscopy and magnetomotive optical coherence tomography

A magnetic graphene quantum dot (MGQD) nanoparticle, synthesized by hydrothermally reducing and cutting graphene oxide‐iron oxide sheet, was demonstrated to possess the capabilities of simultaneous confocal fluorescence and magnetomotive optical coherence tomography (MMOCT) imaging. This MGQD shows low toxicity, significant tunable blue fluorescence and superparamagnetism, which can thus be used as a dual‐modality contrast agent for confocal fluorescence microscopy (CFM) and MMOCT. The feasibility of applying MGQD as a tracer of cells is shown by imaging and visualizing MGQD labeled cells using CFM and our in‐house MMOCT. Since MMOCT and CFM can offer anatomical structure and intracellular details, respectively, the MGQD for cell tracking could provide a more comprehensive diagnosis.      

A hot start alternative for high-fidelity DNA polymerase amplification mediated by quantum dots

Quantum dots （QDs） are of great interest due to their unique chemical and physical properties. Recently, a hot start （HS） polymerase chain reaction （PCR） amplification performance based on QDs with a high-fidelity Pfu DNA polymerase has been reported. However, whether QDs can trigger HS effects with other high-fidelity or conventional DNA polymerases is yet to be understood. In the present study, we studied the QD-triggered HS effects with four high-fidelity and three conventional DNA polymerases, and the HS effect comparisons among them were also made. It was found that QDs could trigger a distinct HS PCR amplification performance with all the four tested high,fidelity DNA polymerases, and specific target DNA could be well amplified even if the PCR mixture was preincubated for 2 h at 50℃. On the contrary, the HS effects were not prominent with all the three conventional Taq DNA polymerases. Specifically, the fidelity of Pfu is not sacrificed in the presence of QDs, even after a 1 h pre-incu- bation at 50℃ before PCR. Furthermore, the electrophoresis results preliminarily demonstrated that QDs prefer to adsorb high-fidelity polymerases rather than conventional ones, which might result in the QD-triggered HS effects on PCR performance by using high-fidelity DNA poly- merases.     

Theoretical study of the experimental coordination behavior of N-(2-aminophenyl)-D-glycero-D-gulo-heptonamide to Hg(II) ion

The reactivity of N-(2-aminophenyl)-d-glycero-d-gulo-heptonamide (adgha), with the group 12 cations, Zn(II), Cd(II), and Hg(II), was studied in DMSO-d₆ solution. The studied system showed a selective coordination to Hg(II), and the products formed were characterized by ¹H and ¹³C NMR in DMSO-d₆ solution and fast atom bombardment (FAB⁺) mass spectra. The expected coordination compounds, [Hg(adgha)](NO₃)₂ and [Hg(adgha)₂](NO₃)₂, were observed as unstable intermediates that decompose to bis-[2-(d-glycero-d-gulo-hexahydroxyhexyl)-benzimidazole-κN]mercury(II) dinitrate, [Hg(ghbz)₂](NO₃)₂. The chemical transformation of the complexes was followed by NMR experiments, and the nature of the species formed is sustained by a theoretical study done using DFT methodology. From this study, we propose the structure of the complexes formed in solution, the relative stability of the species formed, and the possible role of the solvent in the observed transformations.     

Structure and distribution of pentapeptide repeats in bacteria.

We report the discovery of a novel family of proteins, each member contains tandem pentapeptide (five residue) repeats, described by the motif A(D/N)LXX. Members of this family are both membrane bound and cytoplasmic. The function of these repeats is uncertain, but they may have a targeting or structural function rather than enzymatic activity. This family is most common in cyanobacteria, suggesting a function related to cyanobacterial-specific metabolism. Although no experimental information is available for the structure of this family, it is predicted that the tandem pentapeptide repeats will form a right-handed beta-helical structure. A structural model of the pentapeptide repeats is presented.     

Climatic influences on net ecosystem CO<Subscript>2</Subscript> exchange during the transition from wintertime carbon source to springtime carbon sink in a high-elevation,subalpine forest

The transition between wintertime net carbon loss and springtime net carbon assimilation has an important role in controlling the annual rate of carbon uptake in coniferous forest ecosystems. We studied the contributions of springtime carbon assimilation to the total annual rate of carbon uptake and the processes involved in the winter-to-spring transition across a range of scales from ecosystem CO₂ fluxes to chloroplast photochemistry in a coniferous, subalpine forest. We observed numerous initiations and reversals in the recovery of photosynthetic CO₂ uptake during the initial phase of springtime recovery in response to the passage of alternating warm- and cold-weather systems. Full recovery of ecosystem carbon uptake, whereby the 24-h cumulative sum of NEE (NEE_daily) was consistently negative, did not occur until 3–4 weeks after the first signs of photosynthetic recovery. A key event that preceded full recovery was the occurrence of isothermality in the vertical profile of snow temperature across the snow pack; thus, providing consistent daytime percolation of melted snow water through the snow pack. Interannual variation in the cumulative annual NEE (NEE_annual) was mostly explained by variation in NEE during the snow-melt period (NEE_snow-melt), not variation in NEE during the snow-free part of the growing season (NEE_snow-free). NEE_snow-melt was highest in those years when the snow melt occurred later in the spring, leading us to conclude that in this ecosystem, years with earlier springs are characterized by lower rates of NEE_annual, a conclusion that contrasts with those from past studies in deciduous forest ecosystems. Using studies on isolated branches we showed that the recovery of photosynthesis occurred through a series of coordinated physiological and biochemical events. Increasing air temperatures initiated recovery through the upregulation of PSII electron transport caused in part by disengagement of thermal energy dissipation by the carotenoid, zeaxanthin. The availability of liquid water permitted a slightly slower recovery phase involving increased stomatal conductance. The most rate-limiting step in the recovery process was an increase in the capacity for the needles to use intercellular CO₂, presumably due to slow recovery of Rubisco activity. Interspecific differences were observed in the timing of photosynthetic recovery for the dominant tree species. The results of our study provide (1) a context for springtime CO₂ uptake within the broader perspective of the annual carbon budget in this subalpine forest, and (2) a mechanistic explanation across a range of scales for the coupling between springtime climate and the carbon cycle of high-elevation coniferous forest ecosystems.     

Examination of the effect of structural variation on the N-glycosidic torsion (ΦN) among N-(β-d-glycopyranosyl)acetamido and propionamido derivatives of monosaccharides based on crystallography and quantum chemical calculations

GlcNAcβAsn linkage is conserved in the N-glycoproteins of all eukaryotes. l-Glutamine (Gln), which is a one carbon higher homolog of Asn, is never glycosylated. X-ray crystallographic study of several β-1-N-acetamido- and propionamido derivatives of monosaccharides has earlier shown that the N-glycosidic torsion, Φ_N, is influenced to a larger extent by the structural variation of the sugar part than that of the aglycon moiety. In order to examine the influence of the carbohydrate pendent groups on the conformational preference of the N-glycosidic linkage with respect to Φ_N, several models and analogs with gluco and manno configuration have been studied in the present work by computational chemistry. The crystal structure of XylβNHPr is reported here and its molecular packing compared with related analogs. The conjunction of combining Crystallographic and computational studies allows to demonstrate the strong influence that the group at C2, and environmental factors particularly inter- and intramolecular interactions involving regular hydrogen bonds and the weak C-H···O contacts, have on the energy preference of the Φ_N torsion angle.     

Maximizing specificity and yield of PCR by the quantum dot itself rather than property of the quantum dot surface

We found that semiconductor quantum dots (QDs) dramatically improved both product yield and specificity of PCR. The concentration of QDs is important for improving PCR amplification. In the presence of appropriate concentration of mercaptoacetic acid (MAA)-coated QDs, specificity and yield of PCR were enhanced. Also, strong nonspecific bands and weaker smeared bands were eliminated. At lower annealing temperatures (25–45 °C), addition of MAA-coated QDs into the PCR reagent produced specific PCR products without nonspecific sequence amplification. MAA alone did not improve PCR amplification. Streptavidin (SA) surface modified QDs with different size also effectively improved the specificity of PCR, demonstrating that the observed effect was not due to property of the QD surface but instead due to the QD itself. Bovine Serum Albumin (BSA) could relieve Taq polymerase from MAA-coated QDs in PCR by interaction with QDs and therefore imply that QDs improve specificity of PCR by interaction with Taq polymerase. These results demonstrate that QDs, added to reaction mixes at appropriate concentrations, can increase PCR yield and improve PCR specificity, even at low annealing temperatures. We assume that many different surface modified polymeric nanoparticles might have similar effects.     

tRNA structure from a graph and quantum theoretical perspective

One of the objectives of theoretical biochemistry is to find a suitable representation of molecules allowing us to encode what we know about their structures, interactions and reactivity. Particularly, tRNA structure is involved in some processes like aminoacylation and genetic code translation, and for this reason these molecules represent a biochemical object of the utmost importance requiring characterization. We propose here two fundamental aspects for characterizing and modeling them. The first takes into consideration the connectivity patterns, i.e. the set of linkages between atoms or molecular fragments (a key tool for this purpose is the use of graph theory), and the second one requires the knowledge of some properties related to the interactions taking place within the molecule, at least in an approximate way, and perhaps of its reactivity in certain means. We used quantum mechanics to achieve this goal; specifically, we have used partial charges as a manifestation of the reply to structural changes. These charges were appropriately modified to be used as weighted factors for elements constituting the molecular graph. This new graph-tRNA context allow us to detect some structure-function relationships.     

Modeling catalytic reaction mechanisms in glycoside hydrolases

Modeling catalysis in carbohydrate-active enzymes is a daunting challenge because of the high flexibility and diversity of both enzymes and carbohydrates. Glycoside hydrolases (GHs) are an illustrative example, where conformational changes and subtle interactions have been shown to be critical for catalysis. GHs have pivotal roles in industry (e.g. biofuel or detergent production) and biomedicine (e.g. targets for cancer and diabetes), and thus, a huge effort is devoted to unveil their molecular mechanisms. Besides experimental techniques, computational methods have served to provide an in-depth understanding of GH mechanisms, capturing complex reaction coordinates and the conformational itineraries that substrates follow during the whole catalytic pathway, providing a framework that ultimately may assist the engineering of these enzymes and the design of new inhibitors.