Therapeutic phosphorodiamidate morpholino oligonucleotides: Physical properties, solution structures, and folding thermodynamics.

Elucidating the structure-function relationships for therapeutic RNA mimicking phosphorodiamidate morpholino oligonucleotides (PMOs) is challenging due to the lack of information about their structures. While PMOs have been approved by the US Food and Drug Administration for treatment of Duchenne muscular dystrophy, no structural information on these unique, charge-neutral, and stable molecules is available. We performed circular dichroism and solution viscosity measurements combined with molecular dynamics simulations and machine learning to resolve solution structures of 22-mer, 25-mer, and 30-mer length PMOs. The PMO conformational dynamics are defined by the competition between non-polar nucleobases and uncharged phosphorodiamidate groups for shielding from solvent exposure. PMO molecules form non-canonical, partially helical, stable folded structures with a small 1.4- to 1.7-nm radius of gyration, low count of three to six base pairs and six to nine base stacks, characterized by -34 to -51 kcal/mol free energy, -57 to -103 kcal/mol enthalpy, and -23 to -53 kcal/mol entropy for folding. The 4.5- to 6.2-cm3/g intrinsic viscosity and Huggins constant of 4.5-9.9 are indicative of extended and aggregating systems. The results obtained highlight the importance of the conformational ensemble view of PMO solution structures, thermodynamic stability of their non-canonical structures, and concentration-dependent viscosity properties. These principles form a paradigm to understand the structure-properties-function relationship for therapeutic PMOs to advance the design of new RNA-mimic-based drugs.

Divalent metal-ion transporter DMT1 mediates both H+ -coupled Fe2+ transport and uncoupled fluxes.

The H(+) -coupled divalent metal-ion transporter DMT1 serves as both the primary entry point for iron into the body (intestinal brush-border uptake) and the route by which transferrin-associated iron is mobilized from endosomes to cytosol in erythroid precursors and other cells. Elucidating the molecular mechanisms of DMT1 will therefore increase our understanding of iron metabolism and the etiology of iron overload disorders. We expressed wild type and mutant DMT1 in Xenopus oocytes and monitored metal-ion uptake, currents and intracellular pH. DMT1 was activated in the presence of an inwardly directed H(+) electrochemical gradient. At low extracellular pH (pH(o)), H(+) binding preceded binding of Fe(2+) and its simultaneous translocation. However, DMT1 did not behave like a typical ion-coupled transporter at higher pH(o), and at pH(o) 7.4 we observed Fe(2+) transport that was not associated with H(+) influx. His(272) --> Ala substitution uncoupled the Fe(2+) and H(+) fluxes. At low pH(o), H272A mediated H(+) uniport that was inhibited by Fe(2+). Meanwhile H272A-mediated Fe(2+) transport was independent of pH(o). Our data indicate (i) that H(+) coupling in DMT1 serves to increase affinity for Fe(2+) and provide a thermodynamic driving force for Fe(2+) transport and (ii) that His-272 is critical in transducing the effects of H(+) coupling. Notably, our data also indicate that DMT1 can mediate facilitative Fe(2+) transport in the absence of a H(+) gradient. Since plasma membrane expression of DMT1 is upregulated in liver of hemochromatosis patients, this H(+) -uncoupled facilitative Fe(2+) transport via DMT1 can account for the uptake of nontransferrin-bound plasma iron characteristic of iron overload disorders.

Applications of machine learning and high-dimensional visualization in cancer detection, diagnosis, and management.

Recent technical advances in combinatorial chemistry, genomics, and proteomics have made available large databases of biological and chemical information that have the potential to dramatically improve our understanding of cancer biology at the molecular level. Such an understanding of cancer biology could have a substantial impact on how we detect, diagnose, and manage cancer cases in the clinical setting. One of the biggest challenges facing clinical oncologists is how to extract clinically useful knowledge from the overwhelming amount of raw molecular data that are currently available. In this paper, we discuss how the exploratory data analysis techniques of machine learning and high-dimensional visualization can be applied to extract clinically useful knowledge from a heterogeneous assortment of molecular data. After an introductory overview of machine learning and visualization techniques, we describe two proprietary algorithms (PURS and RadViz) that we have found to be useful in the exploratory analysis of large biological data sets. We next illustrate, by way of three examples, the applicability of these techniques to cancer detection, diagnosis, and management using three very different types of molecular data. We first discuss the use of our exploratory analysis techniques on proteomic mass spectroscopy data for the detection of ovarian cancer. Next, we discuss the diagnostic use of these techniques on gene expression data to differentiate between squamous and adenocarcinoma of the lung. Finally, we illustrate the use of such techniques in selecting from a database of chemical compounds those most effective in managing patients with melanoma versus leukemia.

Data mining the NCI cancer cell line compound GI(50) values: identifying quinone subtypes effective against melanoma and leukemia cell classes.

Using data mining techniques, we have studied a subset (1400) of compounds from the large public National Cancer Institute (NCI) compounds data repository. We first carried out a functional class identity assignment for the 60 NCI cancer testing cell lines via hierarchical clustering of gene expression data. Comprised of nine clinical tissue types, the 60 cell lines were placed into six classes-melanoma, leukemia, renal, lung, and colorectal, and the sixth class was comprised of mixed tissue cell lines not found in any of the other five classes. We then carried out supervised machine learning, using the GI(50) values tested on a panel of 60 NCI cancer cell lines. For separate 3-class and 2-class problem clustering, we successfully carried out clear cell line class separation at high stringency, p < 0.01 (Bonferroni corrected t-statistic), using feature reduction clustering algorithms embedded in RadViz, an integrated high dimensional analytic and visualization tool. We started with the 1400 compound GI(50) values as input and selected only those compounds, or features, significant in carrying out the classification. With this approach, we identified two small sets of compounds that were most effective in carrying out complete class separation of the melanoma, non-melanoma classes and leukemia, non-leukemia classes. To validate these results, we showed that these two compound sets' GI(50) values were highly accurate classifiers using five standard analytical algorithms. One compound set was most effective against the melanoma class cell lines (14 compounds), and the other set was most effective against the leukemia class cell lines (30 compounds). The two compound classes were both significantly enriched in two different types of substituted p-quinones. The melanoma cell line class of 14 compounds was comprised of 11 compounds that were internal substituted p-quinones, and the leukemia cell line class of 30 compounds was comprised of 6 compounds that were external substituted p-quinones. Attempts to subclassify melanoma or leukemia cell lines based upon their clinical cancer subtype met with limited success. For example, using GI(50) values for the 30 compounds we identified as effective against all leukemia cell lines, we could subclassify acute lymphoblastic leukemia (ALL) origin cell lines from non-ALL leukemia origin cell lines without significant overlap from non-leukemia cell lines. Based upon clustering using GI(50) values for the 60 cancer cell lines laid out by the RadViz algorithm, these two compound subsets did not overlap with clusters containing any of the NCI's 92 compounds of known mechanism of action, a few of which are quinones. Given their structural patterns, the two p-quinone subtypes we identified would clearly be expected to possess different redox potentials/substrate specificities for enzymatic reduction in vivo. These two p-quinone subtypes represent valuable information that may be used in the elucidation of pharmacophores for the design of compounds to treat these two cancer tissue types in the clinic.

Divergent regulation of the HEMA gene family encoding glutamyl-tRNA reductase in Arabidopsis thaliana: expression of HEMA2 is regulated by sugars, but is independent of light and plastid signalling.

The synthesis of 5-aminolevulinic acid (ALA) is a key regulatory step for the production of hemes and chlorophyll via the tetrapyrrole synthesis pathway. The first enzyme committed to ALA synthesis is glutamyl-tRNA reductase encoded in Arabidopsis by a small family of nuclear-encoded HEMA genes. To better understand the regulation of the tetrapyrrole synthesis pathway we have made a detailed study of HEMA2 expression with transgenic Arabidopsis thaliana L. Col. plants carrying chimeric HEMA2 promoter:gusA fusion constructs. Our results show that the HEMA2 promoter directs expression predominantly to roots and flowers, but that HEMA2 is also expressed at low levels in photosynthetic tissues. Deletion analysis of the HEMA2 promoter indicates that a ca. 850 bp fragment immediately upstream of the HEMA2 coding region is sufficient to drive regulated gusA expression. In contrast to HEMA1, HEMA2 is not up-regulated by red, far-red, blue, UV or white light. In addition, elimination of a promotive plastid signal by Norflurazon-induced photobleaching of plastids had no effect on HEMA2 expression while being required for normal white-light induction of HEMA1. HEMA2 expression in the cotyledons is inhibited by the presence of sucrose or glucose, but not fructose, and this response is light-independent. HEMA1 expression in cotyledons is also inhibited by sugars, but in a strictly light-dependent manner. The roles of HEMA1 and HEMA2 in meeting cellular tetrapyrrole requirements are discussed.

The role of helix VIII in the lactose permease of Escherichia coli: I. Cys-scanning mutagenesis.

Using a functional lactose permease mutant devoid of Cys residues (C-less permease), each amino acid residue in transmembrane domain VIII and flanking hydrophilic loops (from Gln 256 to Lys 289) was replaced individually with Cys. Of the 34 single-Cys mutants, 26 accumulate lactose to > 70% of the steady state observed with C-less permease, and an additional 7 mutants (Gly 262-->Cys, Gly 268-->Cys, Asn 272-->Cys, Pro 280-->Cys, Asn 284-->Cys, Gly 287-->Cys, and Gly 288-->Cys) exhibit lower but significant levels of accumulation (30-50% of C-less). As expected (Ujwal ML, Sahin-Tóth M, Persson B, Kaback HR, 1994, Mol Membr Biol 1:9-16), Cys replacement for Glu 269 abolishes lactose transport. Immunoblot analysis reveals that the mutants are inserted into the membrane at concentrations comparable to C-less permease, with the exceptions of mutants Pro 280-->Cys, Gly 287-->Cys, and Lys 289-->Cys, which are expressed at reduced levels. The transport activity of the mutants is inhibited by N-ethylmaleimide (NEM) in a highly specific manner. Most of the mutants are insensitive, but Cys replacements render the permease sensitive to inactivation by NEM at positions that cluster in manner indicating that they are on one face of an alpha-helix (Gly 262-->Cys, Val 264-->Cys, Thr 265-->Cys, Gly 268-->Cys. Asn 272-->Cys, Ala 273-->Cys, Met 276-->Cys, Phe 277-->Cys, and Ala 279-->Cys). The results indicate that transmembrane domain VIII is in alpha-helical conformation and demonstrate that, although only a single residue in this region of the permease is essential for activity (Glu 269), one face of the helix plays an important role in the transport mechanism. More direct evidence for the latter conclusion is provided in the companion paper (Frillingos S. Kaback HR, 1997, Protein Sci 6:438-443) by using site-directed sulfhydryl modification of the Cys-replacement mutants in situ.

Membrane topology of helices VII and XI in the lactose permease of Escherichia coli studied by lacY-phoA fusion analysis and site-directed spectroscopy.

The use of lactose permease-alkaline phosphatase fusions (lacY-phoA) demonstrates that the lactose permease of Escherichia coli contains 12 transmembrane domains and that approximately half of a transmembrane domain is required to translocate alkaline phosphatase to the periplasmic surface of the membrane [Calamia, J., & Manoil, C. (1990) Proc. Natl. Acad. Sci. U.S.A. 87, 4937-4941]. We have now used fusion analysis in combination with site-directed spectroscopy to examine more precisely the topology of putative helices VII and XI which contain the interacting residues Asp237 and Lys358, respectively. For this purpose, alkaline phosphatase was fused to alternate amino acid residues in transmembrane domains VII and XI. A sharp increase in alkaline phosphatase activity is observed as the fusion junction proceeds from Try228 to Ile230 in helix VII and from Phe354 to Phe356 in helix XI, suggesting that these residues approximate the middle of the corresponding transmembrane helices. Analysis of fluorescence quenching of the pyrene-labeled single-Cys mutants Asp237 --> Cys or Lys358 --> Cys, as well as measurement of collision frequencies between freely diffusing paramagnetic probes and a nitroxide spin-label at these sites, also indicates that Asp237 and also Asp240, which interacts with Lys319 (helix X), are located in transmembrane domains. However, Asp237 and Asp240 are accessible both from the aqueous phase and from within the membrane. The results provide more direct evidence that the three residues are located within transmembrane helices and suggest that Asp237 and Asp240 are either located near the periplasmic surface of the membrane or exposed within a solvent-filled cleft in the permease.

The lactose permease meets Frankenstein.

The lactose permease (lac) of Escherichia coli is a paradigm for membrane transport proteins. Encoded by the lacY gene, the permease has been solubilized, purified to homogeneity, reconstituted into phospholipid vesicles and shown to catalyse the coupled translocation of beta-galactosides and H+ with a stoichiometry of unity. Circular dichroism and other spectroscopic approaches demonstrate that the purified permease is about 80% helical. Based on hydropathy analysis of the primary amino-acid sequence, a secondary structure has been proposed in which the protein has 12 hydrophobic domains in alpha-helical conformation that traverse the membrane in zigzag fashion connected by hydrophilic loops. A variety of other approaches are consistent with the model and demonstrate that both the N and C termini are on the inner surface of the membrane, and studies on an extensive series of lac permease/alkaline phosphatase fusion proteins provide exclusive support for the topological predictions of the 12-helix motif. This presentation concentrates on the use of site-directed fluorescence spectroscopy to study structure-function relationships in the permease.

Role of glutamate-269 in the lactose permease of Escherichia coli.

Glu-269, which is located on the hydrophilic face of putative helix VIII in the lactose permease of Escherichia coli, has been replaced with Asp, Gln or Cys by oligonucleotide-directed, site specific mutagenesis. Cells expressing Asp-269 permease exhibit no lactose accumulation or lactose-induced H+ translocation, but retain some ability to mediate lactose influx down a concentration gradient at high substrate concentrations. Furthermore, right-side-out membrane vesicles containing Asp-269 permease do not catalyse active lactose transport, facilitated lactose efflux or equilibrium exchange. Remarkably, however, Asp-269 permease accumulates beta, D-galactopyranosyl 1-thio-beta,D-galactopyranoside in a partially uncoupled fashion, whereas no transport of methyl-beta,D-thiogalactopyranoside, sucrose or maltose is detectable. Mutant permeases containing neutral replacements (Gln or Cys) or Glu-269 are completely devoid of activity, although the proteins are present in the membrane at concentrations comparable with wild-type or Asp-269 permease. The observations demonstrate that a carboxylate at position 269 is essential for transport activity, and Glu-269 is important for substrate binding and/or recognition.