RNA stable-isotope probing

At the heart of microbial ecology lies a true scientific dichotomy. On the one hand, we know microbes are responsible for processes on which all other life on Earth is dependent; their removal would mean the cessation of all known life. However, in opposition, the majority of extant microbial species in natural environments have never been cultured or studied in a laboratory as living organisms. Owing to these factors, the question of "who does what?" has been a major barrier to understanding how microbially mediated ecosystem level events occur. Recently, the use of stable isotopes (13C) to trace carbon from specific substrates into microbes that assimilate carbon from that substrate has significantly advanced our understanding of the relationship between environmental processes and microbial phylogeny.     

Alternate-site isotopic labeling of ribonucleotides for NMR studies of ribose conformational dynamics in RNA

Heteronuclear NMR spin relaxation studies of conformational dynamics are coming into increasing use to help understand the functions of ribozymes and other RNAs. Due to strong magnetic interactions within the ribose ring, however, these studies have thus far largely been limited to ¹³C and ¹⁵N resonances on the nucleotide base side chains. We report here the application of the alternate-site ¹³C isotopic labeling scheme, pioneered by LeMaster for relaxation studies of amino acid side chains, to nucleic acid systems. We have used different strains of E. coli to prepare mononucleotides containing ¹³C label in one of two patterns: Either C1′ or C2′ in addition to C4′, termed (1′/2′,4′) labeling, or nearly complete labeling at the C2′ and C4′ sites only, termed (2′,4′) labeling. These patterns provide isolated H spin systems on the labeled carbon atoms and thus allow spin relaxation studies without interference from scalar or dipolar coupling. Using relaxation studies of AMP dissolved in glycerol at varying temperature to produce systems with correlation times characteristic of different size RNAs, we demonstrate the removal of errors due to interaction in T ₁ measurements of larger nucleic acids and in T _1ρ measurements in RNA molecules. By extending the applicability of spin relaxation measurements to backbone ribose groups, this technology should greatly improve the flexibility and completeness of NMR analyses of conformational dynamics in RNA.     

Monitoring RNA base structure and dynamics using site-directed spin labeling

Site-directed spin labeling utilizes site-specific attachment of a stable nitroxide radical to probe the structure and dynamics of macromolecules. In the present study, a 4-thiouridine base is introduced at each of six different positions in a 23-nucleotide RNA molecule. The 4-thiouridine derivatives were subsequently modified with one of three methanethiosulfonate nitroxide reagents to introduce a spin label at specific sites. The electron paramagnetic resonance spectra of the labeled RNAs were analyzed in terms of nitroxide motion and the RNA solution structure. At a base-paired site in the RNA helix, where the nitroxide has weak or no local interactions, motion of the nitroxide is apparently dominated by rotation about bonds within the probe. The motion is similar to that found for a structurally related probe on helical sites in proteins, suggesting a similar mode of motion. At other sites that are hydrogen bonded and stacked within the helix, local interactions within the RNA molecule modulate the nitroxide motion in a manner consistent with expectations based on the known structure. For a base that is not structurally constrained, the mobility is higher than at any other site, presumably due to motion of the base itself. These results demonstrate the general utility of the 4-thiouridine/methanethiosulfonate coupling method to introduce nitroxide spin labels into RNA and the ability of the resulting label to probe local structure and dynamics.     

Metabolic labeling of proteins for proteomics

Realization of the advantages of stable isotope labeling for proteomics has emerged gradually. However, many stable isotope label approaches rely on labeling in vitro using complex and sometimes expensive reagents. This review discusses strategies for labeling protein in vivo through metabolic incorporation of label into protein. This approach has many advantages, is particularly suited to single cells grown in culture (prokaryotic or eukaryotic), but is nonetheless subject to a number of complicating factors that must be controlled so that meaningful experiments can be conducted. Confounding issues include the metabolic lability of the amino acid precursor, incomplete labeling, and the role of protein turnover in labeling kinetics. All of these are controllable, provided that appropriate precautions are adopted.     

RNA simulations: probing hairpin unfolding and the dynamics of a GNRA tetraloop

Simulations of an RNA hairpin containing a GNRA tetraloop were conducted to allow the characterization of its secondary structure formation and dynamics. Ten 10 ns trajectories of the folded hairpin 5'-GGGC[GCAA]GCCU-3' were generated using stochastic dynamics and the GB/SA implicit solvent model at 300 K. Overall, we find the stem to be a very stable subunit of this molecule, whereas multiple loop conformations and transitions between them were observed. These trajectories strongly suggest that extension of the C6 base away from the loop occurs cooperatively with an N-type-->S-type sugar pucker conversion in that residue and that similar pucker transitions are necessary to stabilize other looped-out bases. In addition, a short-lived conformer with an extended fourth loop residue (A8) lacking this stabilizing 2'-endo pucker mode was observed. Results of thermal perturbation at 400 K support this model of loop dynamics. Unfolding trajectories were produced using this same methodology at temperatures of 500 to 700 K. The observed unfolding events display three-state behavior kinetically (including native, globular, and unfolded populations) and, based on these observations, we propose a folding mechanism that consists of three distinct events: (i) collapse of the random unfolded structure and sampling of the globular state; (ii) passage into the folded region of configurational space as stem base-pairs form and gain helicity; and (iii) attainment of proper loop geometry and organization of loop pairing and stacking interactions. These results are considered in the context of current experimental knowledge of this and similar nucleic acid hairpins.     

Efficient algorithms for probing the RNA mutation landscape

The diversity and importance of the role played by RNAs in the regulation and development of the cell are now well-known and well-documented. This broad range of functions is achieved through specific structures that have been (presumably) optimized through evolution. State-of-the-art methods, such as McCaskill's algorithm, use a statistical mechanics framework based on the computation of the partition function over the canonical ensemble of all possible secondary structures on a given sequence. Although secondary structure predictions from thermodynamics-based algorithms are not as accurate as methods employing comparative genomics, the former methods are the only available tools to investigate novel RNAs, such as the many RNAs of unknown function recently reported by the ENCODE consortium. In this paper, we generalize the McCaskill partition function algorithm to sum over the grand canonical ensemble of all secondary structures of all mutants of the given sequence. Specifically, our new program, RNAmutants, simultaneously computes for each integer k the minimum free energy structure MFE(k) and the partition function Z(k) over all secondary structures of all k-point mutants, even allowing the user to specify certain positions required not to mutate and certain positions required to base-pair or remain unpaired. This technically important extension allows us to study the resilience of an RNA molecule to pointwise mutations. By computing the mutation profile of a sequence, a novel graphical representation of the mutational tendency of nucleotide positions, we analyze the deleterious nature of mutating specific nucleotide positions or groups of positions. We have successfully applied RNAmutants to investigate deleterious mutations (mutations that radically modify the secondary structure) in the Hepatitis C virus cis-acting replication element and to evaluate the evolutionary pressure applied on different regions of the HIV trans-activation response element. In particular, we show qualitative agreement between published Hepatitis C and HIV experimental mutagenesis studies and our analysis of deleterious mutations using RNAmutants. Our work also predicts other deleterious mutations, which could be verified experimentally. Finally, we provide evidence that the 3' UTR of the GB RNA virus C has been optimized to preserve evolutionarily conserved stem regions from a deleterious effect of pointwise mutations. We hope that there will be long-term potential applications of RNAmutants in de novo RNA design and drug design against RNA viruses. This work also suggests potential applications for large-scale exploration of the RNA sequence-structure network. Binary distributions are available at http://RNAmutants.csail.mit.edu/.     

Metabolic labeling of fucosylated glycoproteins in Bacteroidales species

Members of the Bacteroidales order are among the most abundant gram-negative bacteria of the human colonic microbiota. These species decorate their cell-surface glycoproteins with fucosylated glycans, which are believed to play important roles in host intestinal colonization. Currently, there is no method for the enrichment of these glycoproteins for their identification. Here, we describe a chemical approach directed toward labeling and detecting fucosylated glycoproteins from cultured Bacteroidales species, namely Bacteroides fragilis and Parabacteroides distasonis. We treated these bacteria with an alkyne-bearing fucose analog, which is metabolically integrated into the bacterial surface fucosylated glycoproteins. The alkyne-tagged glycoproteins can then react with azide-bearing biophysical probes via bioorthogonal click chemistry for detection or glycoproteomic analysis.     

Metabolic engineering of bacteria for ethanol production

Technologies are available which will allow the conversion of lignocellulose into fuel ethanol using genetically engineered bacteria. Assembling these into a cost-effective process remains a challenge. Our work has focused primarily on the genetic engineering of enteric bacteria using a portable ethanol production pathway. Genes encoding Zymomonas mobilis pyruvate decarboxylase and alcohol dehydrogenase have been integrated into the chromosome of Escherichia coli B to produce strain KO11 for the fermentation of hemicellulose-derived syrups. This organism can efficiently ferment all hexose and pentose sugars present in the polymers of hemicellulose. Klebsiella oxytoca M5A1 has been genetically engineered in a similar manner to produce strain P2 for ethanol production from cellulose. This organism has the native ability to ferment cellobiose and cellotriose, eliminating the need for one class of cellulase enzymes. The optimal pH for cellulose fermentation with this organism (pH 5.0-5.5) is near that of fungal cellulases. The general approach for the genetic engineering of new biocatalysts has been most successful with enteric bacteria thus far. However, this approach may also prove useful with Gram-positive bacteria which have other important traits for lignocellulose conversion. Many opportunities remain for further improvements in the biomass to ethanol processes. These include the development of enzyme-based systems which eliminate the need for dilute acid hydrolysis or other pretreatments, improvements in existing pretreatments for enzymatic hydrolysis, process improvements to increase the effective use of cellulase and hemicellulase enzymes, improvements in rates of ethanol production, decreased nutrient costs, increases in ethanol concentrations achieved in biomass beers, increased resistance of the biocatalysts to lignocellulosic-derived toxins, etc. To be useful, each of these improvements must result in a decrease in the cost for ethanol production. Copyright 1998 John Wiley & Sons, Inc.     

Isotope labeling strategies for NMR studies of RNA

The known biological functions of RNA have expanded in recent years and now include gene regulation, maintenance of sub-cellular structure, and catalysis, in addition to propagation of genetic information. As for proteins, RNA function is tightly correlated with structure. Unlike proteins, structural information for larger, biologically functional RNAs is relatively limited. NMR signal degeneracy, relaxation problems, and a paucity of long-range ¹H–¹H dipolar contacts have limited the utility of traditional NMR approaches. Selective isotope labeling, including nucleotide-specific and segmental labeling strategies, may provide the best opportunities for obtaining structural information by NMR. Here we review methods that have been developed for preparing and purifying isotopically labeled RNAs, as well as NMR strategies that have been employed for signal assignment and structure determination.     

In vivo labeling and specific magnetic bead separation of RNA for biofilm characterization and stress-induced gene expression analysis in bacteria

The method of in vivo labeling and separation of bacterial RNA was developed as an approach to elucidating the stress response of natural bacterial populations. This technique is based on the incorporation of digoxigenin-11-uridine-5′-triphosphate (DIG-11-UTP) in the RNA of active bacteria. The digoxigenin fulfills a dual role as a label of de novo synthesized RNA and a target for magnetic bead separation from a total RNA extract.Depending on the growth conditions and the population's composition, the assembly rate of DIG-11-UTP ranged from 1.2% to 12.5% of the total RNA in gram-positive and gram-negative reference bacteria as well as in natural biofilms from drinking water, surface water, and lake sediment. Separation of DIG-RNA from total RNA extracts was performed with a biotinylated anti-digoxigenin antibody and streptavidin-functionalized magnetic particles. The average separation yield from total RNA extracts was about 95% of labeled RNA. The unspecific bindings of non-labeled nucleic acids were smaller than 0.2%, as was evaluated by spiking experiments with an unmarked DNA amplicon. Applicability of the method developed was demonstrated by rRNA-directed PCR-DGGE population analysis of natural biofilms and expression profiling of two stress-induced genes (vanA and rpoS) in reference bacteria.