Inhibition of Kinesin Synthesis In Vivo Inhibits the Rapid Transport of Representative Proteins for Three Transport Vesicle Classes into the Axon

Abstract: We have previously demonstrated that the in vivo vitreal injection of an antisense oligonucleotide directed to the kinesin heavy chain inhibits retinal kinesin synthesis by 82% and concomitantly inhibits rapid transport of total protein into the optic nerve by 70%. These results establish a major role for kinesin in rapid axonal transport in vivo. Recently, the cloning of a family of kinesin-like molecules from the mammalian brain has been reported, and some of these proteins are also expressed in neurons. To assign a specific function to the kinesin heavy chain we inhibited the kinesin synthesis with an antisense kinesin oligonucleotide and assessed the axonal transport into the optic nerve of representative proteins from each of three vesicle classes that contain rapidly transported proteins. Marker proteins used were substance P for peptide-containing synaptic vesicles, the amyloid precursor protein for plasma membrane precursor vesicles, and several integral synaptic vesicle proteins. Our results indicate that the major anterograde motor protein for all three vesicle classes utilizes kinesin heavy chain, although we discuss alternative explanations.     

Studies of DNA dumbbells. III. Theoretical analysis of optical melting curves of dumbbells with a 16 base-pair duplex stem and Tn end loops (n = 2, 3, 4, 6, 8, 10, 14).

Optical melting curves of seven DNA dumbbells with the 16 base-pair duplex sequence 5'G-C-A-T-A-G-A-T-G-A-G-A-A-T-G-C3' linked on both ends by Tn (n = 2, 3, 4, 6, 8, 10, and 14) loops measured in 30, 70, and 120 mM Na+ are analyzed in terms of the numerically exact statistical thermodynamic model of DNA melting. The construction and characterization of these molecules were described in the previous paper (Amaratunga et al., 1992). As was recently reported for hairpins (T. M. Paner, M. Amaratunga, M. J. Doktycz, and A. S. Benight, 1990, Biopolymers, Vol. 29, pp. 1715-1734) theoretically calculated melting curves were fitted to experimental curves by simultaneously adjusting the parameters representing loop and circle formation to optimize the fits. The systematically determined empirical parameters provide evaluations of the free energies of hairpin loop formation delta Gloop (n) and single-strand circles delta Gcircle (N), as a function of end loop size, n = 2-14, and circle size, N = 32 + 2n. The dependence of these quantities on solvent ionic strength over the range from 30 to 120 mM Na+ was evaluated. An approximately analytical expression for the partition function Q(T) of the dumbbells was formulated that allowed a means for determining the transition enthalpy delta H degrees and entropy delta S degrees for every dumbbell, revealing the dependence of these quantities on loop size. In this multistate approach a manifold of partially melted intermediate microstates are considered and therefore no assumptions regarding the nature of the melting transitions (that they are two-state) are required. The transition thermodynamic parameters were also determined from a van't Hoff analysis of the melting curves. Comparisons between the results of the multistate analysis and the two-state van't Hoff analysis revealed significant differences for the dumbbells with larger end loops, indicating that the melting transitions of the larger looped dumbbells deviate considerably from two-state behavior. Results are then compared with published melting studies of much larger DNA dumbbells (D. B. Naritsin and Y. L. Lyubchenko, 1990, Journal of Biomolecular Structure and Dynamics, Vol. 8, pp. 1-13), of small hairpins (Paner et al., 1990; M. J. Doktycz, T. M. Paner, M. Amaratunga and A. S. Benight, 1990, Biopolymers, Vol. 30, pp. 829-845) and another dumbbell (A. S. Benight, J. M. Schurr, P. F. Flynn, B. R. Reid, and D. E. Wemmer, 1988) Journal of Molecular Biology, Vol. 200, pp. 377-399).(ABSTRACT TRUNCATED AT 400 WORDS)     

Analysis of melting transitions of the DNA hairpins formed from the oligomer sequences d[GGATAC(X)4GTATCC] (X = A, T, G, C)

Optical melting transitions of the short DNA hairpins formed from the self-complementary DNA oligomers d[GGATACX4GTATCC] where X = A, T, G, or C measured in 100 mM NaCl are presented. A significant dependence of the melting transitions on loop sequence is observed and transition temperatures, tm, of the hairpins vary from 58.3 degrees C for the T4 loop hairpin to 55.3 degrees C for the A4 loop. A nearest-neighbor sequence-dependent theoretical algorithm for calculating melting curves of DNA hairpins is presented and employed to analyze the experimental melting transitions. Experimental melting curves were fit by adjustment of a single theoretical parameter, Fend(n), the weighting function for a hairpin loop comprised of n single-strand bases. Empirically determined values of Fend(n) provide an evaluation of the free-energy of hairpin loop formation and stability. Effects of heterogeneous nearest-neighbor sequence interactions in the duplex stem on hairpin loop formation were investigated by evaluating Fend(n) in individual fitting procedures using two of the published sets of nearest-neighbor stacking interactions in DNA evaluated in 100 mM NaCl and given by Wartell and Benight, 1985. In all cases, evaluated values of Fend(n) were obtained that provided exact theoretical predictions of the experimental transitions. Results of the evaluations indicate: (1) Evaluated free-energies of hairpin loop formation are only slightly dependent on loop sequences examined. At the transition temperature, Tm, the free-energy of forming a loop of four bases is approximately equal for T4, G4, or C4 loops and varies from 3.9 to 4.8 kcal/mole depending on the set of nearest-neighbor interactions employed in the evaluations. This result suggests, in light of the observed differences in stability between the T4, G4, and C4 loop hairpins, that sequence-dependent interactions between base residues of the loop are most likely not the source of the enhanced stability of a T4 loop.(ABSTRACT TRUNCATED AT 400 WORDS)     

Conformation and structure of polymeric contrast agents for medical imaging

The structure of Gd-DTPA-polylysine, Gd-DOTA-polylysine, Gd-SCN-Bz-DOTA-polylysine, and Gd-DTPA-poly(glu:lys) was investigated with circular dichroism, gel permeation chromatography, low angle light scattering, and proton longitudinal relaxivity. Molecular modeling calculations were performed and predicted helical secondary structure for charged Gd-chelator residues, i.e., Gd-DTPA, when the DTPA conjugation levels reached 90% and higher. This helical secondary structure was observed with circular dichroism. The conformational transition from coiled to extended linear was observed also by gel permeation chromatography and by proton relaxivity measurements. The helical secondary structure was not observed when the chelator was changed to DOTA. The residue charge interactions were eliminated in this case since the Gd-DOTA complex had no net charge. For this construct, the gel permeation and relaxivity measurements indicated a coiled conformation. An extended linear conformation was regained when the chelator complex was changed to Gd-SCN-Bz-DOTA, which had a net negative charge. The functional aspects of these structures were investigated by MR imaging of an animal tumor model. The linear extended polymer constructs gave 10-fold higher tumor signals then the coiled-collapsed constructs, indicating a much higher degree of trans-endothelial transport in the tumors.     

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data

MOTIVATION: DNA microarray technology typically generates many measurements of which only a relatively small subset is informative for the interpretation of the experiment. To avoid false positive results, it is therefore critical to select the informative genes from the large noisy data before the actual analysis. Most currently available filtering techniques are supervised and therefore suffer from a potential risk of overfitting. The unsupervised filtering techniques, on the other hand, are either not very efficient or too stringent as they may mix up signal with noise. We propose to use the multiple probes measuring the same target mRNA as repeated measures to quantify the signal-to-noise ratio of that specific probe set. A Bayesian factor analysis with specifically chosen prior settings, which models this probe level information, is providing an objective feature filtering technique, named informative/non-informative calls (I/NI calls). RESULTS: Based on 30 real-life data sets (including various human, rat, mice and Arabidopsis studies) and a spiked-in data set, it is shown that I/NI calls is highly effective, with exclusion rates ranging from 70% to 99%. Consequently, it offers a critical solution to the curse of high-dimensionality in the analysis of microarray data. AVAILABILITY: This filtering approach is publicly available as a function implemented in the R package FARMS (www.bioinf.jku.at/software/farms/farms.html).     

Types of the cerebral arterial circle (circle of Willis) in a Sri Lankan Population

Background  

The variations of the circle of Willis (CW) are clinically important as patients with effective collateral circulations have a lower risk of transient ischemic attack and stroke than those with ineffective collaterals. The aim of the present cadaveric study was to investigate the anatomical variations of the CW and to compare the frequency of prevalence of the different variations with previous autopsy studies as variations in the anatomy of the CW as a whole have not been studied in the Indian subcontinent.     

A consolidated approach to analyzing data from high-throughput protein microarrays with an application to immune response profiling in humans.

Motivation: DNA microarrays are a well-known and established technology in biological and pharmaceutical research providing a wealth of information essential for understanding biological processes and aiding drug development. Protein microarrays are quickly emerging as a follow-up technology, which will also begin to experience rapid growth as the challenges in protein to spot methodologies are overcome. Like DNA microarrays, their protein counterparts produce large amounts of data that must be suitably analyzed in order to yield meaningful information that should eventually lead to novel drug targets and biomarkers. Although the statistical management of DNA microarray data has been well described, there is no available report that offers a successful consolidated approach to the analysis of high-throughput protein microarray data. We describe the novel application of a statistical methodology to analyze the data from an immune response profiling assay using human protein microarray with over 5000 proteins on each chip.     

Enriched random forests

Although the random forest classification procedure works well in datasets with many features, when the number of features is huge and the percentage of truly informative features is small, such as with DNA microarray data, its performance tends to decline significantly. In such instances, the procedure can be improved by reducing the contribution of trees whose nodes are populated by non-informative features. To some extent, this can be achieved by prefiltering, but we propose a novel, yet simple, adjustment that has demonstrably superior performance: choose the eligible subsets at each node by weighted random sampling instead of simple random sampling, with the weights tilted in favor of the informative features. This results in an 'enriched random forest'. We illustrate the superior performance of this procedure in several actual microarray datasets.     

B to Z transitions of the short DNA hairpins formed from the oligomer sequences: d[(CG)3X4(CG)3] (X = A, T, G, C).

Circular Dichroism (CD) spectra were collected as a function of sodium perchlorate concentration [NaClO4] for the set of DNA hairpins formed from the oligomer sequences d[(CG)3X4(CG)3] where X = A, T, G or C. Over the range in salt concentration from 0 to 4.0 M NaClO4, the CD spectra invert in a manner characteristic of the B to Z transition. A factor analysis routine is described and employed to determine the least number of basis spectra required to fit the measured spectra of each hairpin over the entire salt range examined. In every case, linear combinations of only two sub-spectra fit the experimental spectra of the hairpins with greater than 98% accuracy, indicating the spectrally monitored structural transitions are two-state. From the relative weights of the individual sub-spectra, B-Z transition curves are constructed. The transitions are analyzed in terms of a simple two-state equilibrium model which yields an evaluation of the transition free-energy, delta GB-Z, as a function of NaClO4 concentration. At 1.0 M NaClO4 and 21 degrees C, delta GB-Z = 5.4, 4.9, 3.6 and 2.3 kcal/mole for the G4, T4, A4 and C4 loop hairpins, respectively.