Moderate activity of RNA chaperone maximizes the yield of self-spliced pre-RNA in vivo.

CYT-19 is a DEAD-box protein whose adenosine-triphosphate (ATP)-dependent helicase activity facilitates the folding of group I introns in precursor RNA (pre-RNA) of Neurospora crassa (N. crassa). In the process, they consume a substantial amount of ATP. While much of the mechanistic insight into CYT-19 activity has been gained through the studies on the folding of Tetrahymena group I intron ribozyme, the more biologically relevant issue, namely the effect of CYT-19 on the self-splicing of pre-RNA, remains largely unexplored. Here, we employ a kinetic network model, based on the generalized iterative annealing mechanism (IAM), to investigate the relation between CYT-19 activity, rate of ribozyme folding, and the kinetics of the self-splicing reaction. The network rate parameters are extracted by analyzing the recent biochemical data for CYT-19-facilitated folding of Tetrahymena ribozyme. We then build extended models to explore the metabolism of pre-RNA. We show that the timescales of chaperone-mediated folding of group I ribozyme and self-splicing reaction compete with each other. As a consequence, in order to maximize the self-splicing yield of group I introns in pre-RNA, the chaperone activity must be sufficiently large to unfold the misfolded structures, but not too large to unfold the native structures prior to the self-splicing event. We discover that despite the promiscuous action on structured RNAs, the helicase activity of CYT-19 on group I ribozyme gives rise to self-splicing yields that are close to the maximum.

Chemical Embryology Redux: Metabolic Control of Development.

New studies of metabolic reactions and networks in embryos are making important additions to regulatory models of development, so far dominated by genes and signals. Metabolic control of development is not a new idea and can be traced back to Joseph Needham's 'Chemical Embryology', published in the 1930s. Even though Needham's ideas fell by the wayside with the advent of genetic studies of embryogenesis, they demonstrated that embryos provide convenient models for addressing fundamental questions in biochemistry and are now experiencing a comeback, enabled by the powerful merger of detailed mechanistic studies and systems-level techniques. Here we review recent results from studies that quantified the energy budget of embryogenesis in Drosophila and started to untangle the intricate connections between core anabolic processes and developmental transitions. Dynamic coordination of metabolic, genetic, and signaling networks appears to be essential for seamless progression of development.

Highly conserved protein Rv1211 in Mycobacterium tuberculosis is a natively unfolded protein that binds to a calmodulin antagonist, trifluoperazine.

Rv1211 is a conserved hypothetical protein in Mycobacterium tuberculosis and is required for the growth and pathogenesis of the bacteria. The protein has been suggested as a calmodulin-like calcium-binding protein with an EF-hand motif and as a target of trifluoperazine, a calmodulin antagonist in eukaryotes that inhibits mycobacterial growth. Here, we expressed the recombinant protein of Rv1211 and performed structural and biochemical studies of Rv1211 and its interaction with Ca2+ or trifluoperazine. Surprisingly, Rv1211 exhibited an elution property typical of a natively unfolded protein. Subsequent circular dichroism experiments with temperature elevation and trifluoroethanol treatment showed that Rv1211 has unfolded structure. Additional NMR experiment confirmed the unfolded state of the protein and further showed that it does not bind to Ca2+. Still, Rv1211 did bind to trifluoperazine, as evidenced by the two-dimensional NMR spectra of 15N-labeled Rv1211. However, there were no peak shifts upon binding, showing that Rv1211 retained its unfolded state even after the trifluoperazine binding. The residues involved in the binding were clustered in the C-terminal region, as identified by the sequence assignment. Isothermal titration calorimetry showed that the Kd of trifluoperazine-Rv1211 binding is 41 µM and that the stoichiometry is 1 : 2 (Rv1211: trifluoperazine). Our results argue against the suggestion of Rv1211 as a Ca2+-binding calmodulin-like protein, and show that Rv1211 is a natively unfolded protein that binds to trifluoperazine. In addition, our results suggest the evidence of the "Fuzziness" in the Rv1211-trifluoperazine interaction that differs from the conventional binding-induced folding of natively unfolded proteins.

Thermodynamic uncertainty relation to assess biological processes.

We review the trade-offs between speed, fluctuations, and thermodynamic cost involved with biological processes in nonequilibrium states and discuss how optimal these processes are in light of the universal bound set by the thermodynamic uncertainty relation (TUR). The values of the uncertainty product Q of TUR, which can be used as a measure of the precision of enzymatic processes realized for a given thermodynamic cost, are suboptimal when the substrate concentration is at the Michaelis constant, and some of the key biological processes are found to work around this condition. We illustrate the utility of Q in assessing how close the molecular motors and biomass producing machineries are to the TUR bound, and for the cases of biomass production (or biological copying processes), we discuss how their optimality quantified in terms of Q is balanced with the error rate in the information transfer process. We also touch upon the trade-offs in other error-minimizing processes in biology, such as gene regulation and chaperone-assisted protein folding. A spectrum of Q recapitulating the biological processes surveyed here provides glimpses into how biological systems are evolved to optimize and balance the conflicting functional requirements.

Characterization of the binding sites for the interactions between FKBP12 and intracellular calcium release channels.

FKBP12, an FK506 binding protein, interacts with type 1 ryanodine receptor (RyR1) and modulates its calcium channel activity. However, there are many opposing reports of FKBP12's interaction with other related calcium channels, such as type 1 IP(3) receptor and type 3 ryanodine receptor (IP(3)R1 and RyR3). In addition, the involvement of the prolyl-dipeptide motif in the calcium channels and the corresponding binding residues in FKBP12 remain controversial. Through pulldown assays with recombinant proteins, we provide biochemical evidence of the interaction between FKBP12 and RyR1, RyR3 and IP(3)R1. Using NMR chemical shift mapping, we show that the important binding residues in FKBP12 are located in its hydrophobic FK506 binding region. Consistently, we demonstrate that FK506 can competitively inhibit the interaction between FKBP12 and the dipeptide motifs of the calcium channels. We believe our results shed lights on the binding mechanism of calcium channel-FKBP12 interaction.

Cost-precision trade-off relation determines the optimal morphogen gradient for accurate biological pattern formation.

Spatial boundaries formed during animal development originate from the pre-patterning of tissues by signaling molecules, called morphogens. The accuracy of boundary location is limited by the fluctuations of morphogen concentration that thresholds the expression level of target gene. Producing more morphogen molecules, which gives rise to smaller relative fluctuations, would better serve to shape more precise target boundaries; however, it incurs more thermodynamic cost. In the classical diffusion-depletion model of morphogen profile formation, the morphogen molecules synthesized from a local source display an exponentially decaying concentration profile with a characteristic length λ. Our theory suggests that in order to attain a precise profile with the minimal cost, λ should be roughly half the distance to the target boundary position from the source. Remarkably, we find that the profiles of morphogens that pattern the Drosophila embryo and wing imaginal disk are formed with nearly optimal λ. Our finding underscores the cost-effectiveness of precise morphogen profile formation in Drosophila development.

Differentiation of cultivation sources of Ganoderma lucidum by NMR-based metabolomics approach.

INTRODUCTION: Ganoderma lucidum is a widely used and high-value medicinal natural product. Correct identification of its cultivation source is important for proper quality assurance, but is so far mostly dependent on subjective morphological examinations. OBJECTIVE: To develop an efficient way of discriminating the cultivation sources of Ganoderma lucidum, particularly those from Korea and China, the two major sources of the mushroom using NMR-based metabolomic differentiation. METHODOLOGY: Ganoderma lucidum samples were collected from Korea (26 samples) and China (20 samples), and their NMR spectra were obtained. The raw data were processed, and analysed using multivariate statistical analysis. RESULTS: Although conventional principal component analysis showed some overlaps, orthogonal projections to latent structure discriminant analysis (OPLS-DA) provided clean distinction between samples from the two countries. Contributing signals were also identified using S-plot, and further verified with independent t-test. Final validation of the model was obtained using prediction test of the unknowns, where the model predicted all of the 14 test samples correctly. Distinction between the cultivation sources within China was also established. CONCLUSION: The easiness and transferability of our NMR-based approach should contribute to addressing an important aspect of quality control process of Ganoderma lucidum. We believe the method can be easily applied to other herbal medical products.

Thermodynamic Cost, Speed, Fluctuations, and Error Reduction of Biological Copy Machines.

Due to large fluctuations in cellular environments, transfer of information in biological processes without regulation is error-prone. The mechanistic details of error-reducing mechanisms in biological copying processes have been a subject of active research; however, how error reduction of a process is balanced with its thermodynamic cost and dynamical properties remain largely unexplored. Here, we study the error reducing strategies in light of the recently discovered thermodynamic uncertainty relation (TUR) that sets a physical bound to the cost-precision trade-off for dissipative processes. We found that the two representative copying processes, DNA replication by the exonuclease-deficient T7 DNA polymerase and mRNA translation by the E. coli ribosome, reduce the error rates to biologically acceptable levels while also optimizing the processes close to the physical limit dictated by TUR.

Energy budget of Drosophila embryogenesis.

Eggs of oviparous animals must be prepared to develop rapidly and robustly until hatching. The balance between sugars, fats, and other macromolecules must therefore be carefully considered when loading the egg with nutrients. Clearly, packing too much or too little fuel would lead to suboptimal conditions for development. While many studies have measured the overall energy utilization of embryos, little is known of the identity of the molecular-level processes that contribute to the energy budget in the first place [1]. Here, we introduce Drosophila embryos as a platform to study the energy budget of embryogenesis. We demonstrate through three orthogonal measurements - respiration, calorimetry, and biochemical assays - that Drosophila melanogaster embryogenesis utilizes 10 mJ of energy generated by the oxidation of the maternal glycogen and triacylglycerol (TAG) stores (Figure 1). Normalized for mass, this is comparable to the resting metabolic rates of insects [2]. Interestingly, alongside data from earlier studies, our results imply that protein, RNA, and DNA polymerization require less than 10% of the total ATPs produced in the early embryo.

Dynamic Control of dNTP Synthesis in Early Embryos.

Exponential increase of cell numbers in early embryos requires large amounts of DNA precursors (deoxyribonucleoside triphosphates (dNTPs)). Little is understood about how embryos satisfy this demand. We examined dNTP metabolism in the early Drosophila embryo, in which gastrulation is preceded by 13 sequential nuclear cleavages within only 2 hr of fertilization. Surprisingly, despite the breakneck speed at which Drosophila embryos synthesize DNA, maternally deposited dNTPs can generate less than half of the genomes needed to reach gastrulation. The rest of the dNTPs are synthesized "on the go." The rate-limiting enzyme of dNTP synthesis, ribonucleotide reductase, is inhibited by endogenous levels of deoxyATP (dATP) present at fertilization and is activated as dATP is depleted via DNA polymerization. This feedback inhibition renders the concentration of dNTPs at gastrulation robust, with respect to large variations in maternal supplies, and is essential for normal progression of embryogenesis.

Direct injection LC-MS/MS method for the determination of teicoplanin in human plasma.

A direct injection-based, simple, accurate, and robust LC-MS/MS method was developed and validated for the determination of teicoplanin in human plasma. Patient plasma samples were diluted in an aqueous buffer prior to injection into the LC-MS/MS system. Chromatographic separation was achieved using a Cadenza HS-C18 column and a gradient mixture of acetonitrile-water (both containing 0.1% formic acid) as the mobile phase at a flow rate of 0.5mL/min. The analytes were detected in multiple reaction monitoring mode with positive ion electrospray ionization. The concentration of teicoplanin was determined as the sum of six components (A3-1, A2-1, A2-2, A2-3, A2-4, and A2-5). The calibration curve was linear over a concentration range of 1-50mg/L, which covered the clinically accepted trough and therapeutic plasma levels. The intra- and inter-day precision and accuracy values were both less than 15%. This validated method was successfully applied to therapeutic drug monitoring of teicoplanin in routine clinical practice. Thus, we expect it to be useful for the determination of teicoplanin concentration in human plasma.

Combined genomic-metabolomic approach for the differentiation of geographical origins of natural products: deer antlers as an example.

The correct identification of the geographical origin of deer antlers is essential to quality control, as its positive physiological effects correlate with chemical components. In this study, we applied both genomics and metabolomics to the origin-identification of 101 samples from Canada, New Zealand, and Korea. The genomics identified deer species in each country but failed to categorize all the samples, due to the presence of identical species in different countries. For identical species, NMR-based metabolomics gave clean separations, compounds specific to each country were identified, and the validity was confirmed by prediction analysis. As the genomics provided unambiguous read-outs for different species, and the metabolomics cleanly distinguished among identical species from different countries, their combined use could be a robust method for origin-identification even in difficult cases. We believe the method to be generally applicable to many herbal medicinal products for which various species are grown internationally.

An HR-MAS MR metabolomics study on breast tissues obtained with core needle biopsy.

BACKGROUND: Much research has been devoted to the development of new breast cancer diagnostic measures, including those involving high-resolution magic angle spinning (HR-MAS) magnetic resonance (MR) spectroscopic techniques. Previous HR-MAS MR results have been obtained from post-surgery samples, which limits their direct clinical applicability. METHODOLOGY/PRINCIPAL FINDINGS: In the present study, we performed HR-MAS MR spectroscopic studies on 31 breast tissue samples (13 cancer and 18 non-cancer) obtained by percutaneous core needle biopsy. We showed that cancer and non-cancer samples can be discriminated very well with Orthogonal Projections to Latent Structure-Discriminant Analysis (OPLS-DA) multivariate model on the MR spectra. A subsequent blind test showed 69% sensitivity and 94% specificity in the prediction of the cancer status. A spectral analysis showed that in cancer cells, taurine- and choline-containing compounds are elevated. Our approach, additionally, could predict the progesterone receptor statuses of the cancer patients. CONCLUSIONS/SIGNIFICANCE: HR-MAS MR metabolomics on intact breast tissues obtained by core needle biopsy may have a potential to be used as a complement to the current diagnostic and prognostic measures for breast cancers.

Differentiation of antlers from deer on different feeds using an NMR-based metabolomics approach.

Deer antler has been widely used as a dietary supplement for hundreds of years in Asian countries. The chemical composition of deer antlers strongly depends on the growth conditions of the deer, especially the feeds, but the effects of different feeds on deer antlers have not been studied. To expand our knowledge of the chemical constituents of deer antler and establish an efficient way of differentiating antlers obtained with different feeds, we applied an NMR-based metabolomics approach and OPLS-DA multivariate analysis. We show that the antlers from one species on two different feeds, made from grass or mulberry trees, can be reliably differentiated by our metabolomics approach. We identified chemical constituents of the deer antlers and the marker compounds that contribute to the difference between the feed groups. We also rigorously validated our differentiation approach by showing that it can correctly classify blind samples into their respective feed groups. Our approach is expected to help design feeds to produce antlers with more defined constituents, especially those with higher bioactivities.