Matching structural densities from different biophysical origins with gain and bias

The registration of volumetric structures in real space involves geometric and density transformations that align a target map and a probe map in the best way possible. Many computational docking strategies exist for finding the geometric transformations that superimpose maps, but the problem of finding an optimal density transformation, for the purposes of difference calculations or segmentation, has received little attention in the literature. We report results based on simulated and experimental electron microscopy maps, showing that a single scale factor (gain) may be insufficient when it comes to minimizing the density discrepancy between an aligned target and probe. We propose an affine transformation, with gain and bias, that is parameterized by known surface isovalues and by an interactive centering of the “cancellation peak” in the surface thresholded difference map histogram. The proposed approach minimizes discrepancies across a wide range of interior densities. Owing to having only two parameters, it avoids overfitting and requires only minimal knowledge of the probe and target maps. The linear transformation also preserves phases and relative amplitudes in Fourier space. The histogram matching strategy was implemented in the newly revised volhist tool of the Situs package, version 2.6.     

A macronutrient optimization platform for micropropagation and acclimatization: using turmeric (<Emphasis Type=Italic>Curcuma longa</Emphasis> L.) as a model plant

Tissue culture medium is often overlooked as a factor in plant biotechnology. Most work uses Murashige and Skoog (MS; Physiol Plant in 15:473–497, 1962) inorganic medium formulation, which is not likely optimal for many of the plant systems where it is used. This current study of macronutrient factors simultaneously altered media volume and amount of tissue (plants per vessel), sucrose, nitrogen (as NO₃⁻ and NH₄⁺ ions), and K⁺ in a d-optimal design space with only 55 experimental units (including five true replicates). Meso- and micro-nutrient concentrations were lowered (5% of MS) to determine which elements were most critical to plantlet quality. Plantlet quality was quantified by multiplication in the laboratory and survival and growth in the greenhouse. Plantlets grown at the lowest plant density, the lowest macronutrient concentration (20 mM), and equi-molar proportions of NH₄⁺/K⁺ resulted in the best multiplication ratio and 100% greenhouse survival. Multiplication ratio in vitro and survival in the greenhouse were well correlated with one another. Laboratory dry mass, media use, sucrose use, and the uptake of the macronutrients NO₃⁻, NH₄⁺, and K⁺ were not well correlated with plantlet quality. Plantlets with the greatest uptake of P, Ca, Mg, and Mn had the best multiplication in the laboratory and on subsequent transfer, acclimatized and grew fastest in the greenhouse. Phosphorus was shown to be most depleted in media. This work demonstrates a platform to simultaneously optimize several nutritive components of tissue culture media to produce plantlets that perform well in both laboratory and greenhouse environments. Plant quality was related with factors outside the macronutrient design, and this platform indicated where to expand the experimental space. Fixed, flat-screen presentations revealed less of the response surface than interactive profiles driven by the reader.     

Alumina-doped alginate gel as a cell carrier for ethanol production in a packed-bed bioreactor

Alumina-doped alginate gel (AEC) was developed as a new type of cell carrier to be used in ethanol fermentation. The presence of the alumina particles in alginate gel not only improved the porous structure of the carrier, but also provided many advantageous characteristics including good mechanical strength, high stability, and high immobilization yield. The attachment of alumina particles and yeast cells by electrostatic attraction was shown to promote cell growth and increase ethanol productivity. The AEC carrier was found to be more effective for the immobilization of Saccharomyces cerevisiae M30 than the conventional Ca-alginate bead. Ethanol productivities of 1.4 and 7.9 ∼ 12.6 g/(L/h) were obtained using the AEC cultures in batch and continuous modes of operation, respectively, with an ethanol yield of 43.9 ∼ 46.7% and an immobilized yield of 81.4 ∼ 84.5%. Ethanol fermentation in a continuous packed-bed reactor using the AEC carrier was stable for > 30 days.     

Optimization of expression,purification, and NMR measurement for structural studies of transmembrane region of amyloid β protein

The amyloid precursor protein (APP) is an integral transmembrane protein which has been suggested to play a central role in the pathogenesis of Alzheimer’s disease. Despite the enormous amount of research conducted on amyloid protein, the precise mechanism of its toxic effect is not yet fully understood. To better understand the mechanism and function of amyloid protein, it is critical to elucidate the three-dimensional structure of the single transmembrane spanning region of human APP (hAPP-TM). Unfortunately, it is difficult to prepare the peptide sample because hAPP-TM is a membrane-bound protein that transverses the lipid bilayer of the cell membrane. Generally, the preparation of a transmembrane peptide is very difficult and time-consuming. In fact, high yield production of transmembrane peptides has been limited by experimental difficulties related to insufficient yields and the low solubility of such peptides. In this study, we describe experimental processes developed to optimize the expression, purification, and NMR measurement conditions for hAPP-TM transmembrane peptide.     

Electrocoagulation as a clarifiation and pre-purification step in plant based bioprocesses

Electrocoagulation is a technique that has been applied to water and wastewater treatment. We propose here extension of this technique to the field of plant downstream processing (DSP), where plants are used as a bioreactors for recombinant protein production. The main problem in plant-based bioreactors is the presence of chlorophyll and phenolic compounds in plant extracts, which tend to precipitate and denature proteins. Their removal from the extracts is essential, since they have a large impact on the DSP performance. In the present work we studied the application of an electrocoagulation based technique to clarify tobacco leaf extracts by removing chlorophyll and phenolic compounds. By manipulating the pH of electrocoagulation, 90% of chlorophyll, 65% of phenolic compounds, and only 23% of total protein were removed from the extract. The process preferentially removes proteins with more acidic pI (below 6.03) and the pH of the process differentially effects removal of acidic and basic proteins.     

Conversion of AFLP markers to high-throughput markers in a complex polyploid,sugarcane

The application of DNA markers linked to traits of commercial value in sugarcane may increase the efficiency of sugarcane breeding. The majority of markers generated for quantitative trait locus mapping in sugarcane have been single sequence repeats or AFLPs (amplified fragment length polymorphisms). Since AFLP markers are not adapted for large-scale implementation in plant breeding, our objective was to assess the feasibility of converting AFLP markers to fast, cheap and reliable PCR-based assays in a complex polyploid, sugarcane. Three AFLP markers were selected on the basis of an association to resistance to the fungal pathogen Ustilago scitaminea, the causal agent of smut in sugarcane. We developed an approach which enabled the identification of polymorphisms in these AFLP markers. Towards this goal, we employed GenomeWalking and 454 sequencing to isolate sequences adjacent to the linked AFLP markers and identify SNP (single nucleotide polymorphisms) haplotypes present in the homo(eo)logous chromosomes of sugarcane. One AFLP marker was converted to a cleavage amplified polymorphic sequence marker, another to a SCAR (sequence characteristered amplified region) marker and the final AFLP marker to a SNP PCR-based assay. However, validation of each of the markers in 240 genotypes resulted in 99, 90 and 60% correspondence with the original AFLP marker. These experiments indicate that even in a complex polyploid such as sugarcane, polymorphisms identified by AFLP can be converted to high-throughput marker systems, but due to the complexity this would only be carried out for high-value markers. In some cases, the polymorphisms identified are not transferable to more sequence-specific PCR applications.