Rapid preparation of custom grid screens for crystal growth optimization

2005 ◽  
Vol 38 (5) ◽  
pp. 847-850 ◽  
Author(s):  
Anne B. Senger ◽  
Timothy C. Mueser

Initial crystallization conditions are typically discovered using commercially available sparse-matrix screens. Positive results are then refined using some type of expansion tray. For example, coarse and shallow gradients can be prepared which vary single chemical parameters around the initial conditions in a grid-screen format. Expansion trays are customarily formulated using numerous volume calculations and pipetting stock solutions into individual wells. This tedious process is plagued by pipetting errors, including differences in viscosity, small volumes with large dilutions, evaporation and poor mixing. Here we present a simple method to standardize expansion-tray formats. Instead of using independent well-volume calculations, the initial and final conditions are formulated and gradients (A/B gradients) are prepared using standardized pipetting maps. These step gradients can be prepared by adding decreasing amounts of the initial (A) solution to consecutive wells followed by the addition of the final (B) solution with increasing volume. This simple idea can be applied to both coarse and shallow grids where the pipetting errors are confined within the boundaries defined by the A and B solutions. Programmable electronic pipettes and robotic liquid handlers can be used to prepare the standardized A/B gradients rapidly, regardless of the components, eliminating reprogramming between trays.

1942 ◽  
Vol 42 (2) ◽  
pp. 224-226 ◽  
Author(s):  
J. A. de Loureiro

Bismuth sulphite agar is by far the most efficient of all single media devised for the isolation of typhoid bacilli from stools. When tested in comparison with other media it was found not only to afford the highest percentage of positive results but also the maximum inhibition of saprophytic growth. Its remarkable selectivity is demonstrated by the fact that negative plates are often completely sterile, and positive ones often consist exclusively of typhoid colonies (Loureiro & Matos, unpublished observations).


2019 ◽  
Author(s):  
Christian Barthlott ◽  
Andrew I. Barrett

Abstract. The mesoscale convective system (MCS) that affected Germany at Pentecost 2014 (9 June 2014) was one of the most severe for decades. However, the predictability of this system was very low as the operational deterministic and ensemble prediction systems failed to predict the event with sufficiently long lead times. We present hindcasts of the event using the COnsortium for Small-scale MOdeling (COSMO) model at convection-permitting (2.8 km) resolution on a large (1668 × 1807 km) grid, which allowed us to simulate the whole life cycle of the system originating from the French Atlantic coast. Results show that this model configuration successfully reproduces the convective events of that day. However, the low predictability of the event was evident by the surprisingly large impact of tiny changes to the model domain. We systematically shifted the model domain by one grid point in eight different directions, from which three did not simulate any convection over Germany. The analyses show that no important differences in domain-averaged initial conditions nor in the preconvective environment ahead of the convective system exist. That one-third of these seemingly identical initial conditions fails to produce any convection over Germany is intriguing. The main reason for the different model results seems to be the proximity of the track of the initial convective system to the coast and colder sea surface. The COSMO model simulates small horizontal displacements of the precursors of the MCS which then determine if the cells dissipate close to the sea or reach a favourable area for convective development over land and further evolve into an MCS. This study demonstrates the potentially huge impact of tiny model domain shifts on forecasting convective processes in this case, which suggests that the inclusion of this simple method in convective-scale ensemble forecasting systems should be evaluated for different cases, models and weather regimes.


Blood ◽  
1955 ◽  
Vol 10 (7) ◽  
pp. 718-729 ◽  
Author(s):  
I. SNAPPER ◽  
DANIEL J. NATHAN

Abstract 1. A simple method is described for the formation of large numbers of lupus cells by positioning one drop of finger or ear blood of a lupus patient upon an accumulation of dried, normal polynuclear leukocytes. Thick leukemic smears and perhaps even imprints of various carcinomas or Hodgkin’s tissue can also be used as substrates. 2. No false positive results were obtained in a group of control patients. 3. Striking results were obtained with this method itt 20 of 21 known cases of disseminated lupus erythematosus. The remaining case in whom a single "L.E." cell was found by a conventional method, to date has yielded no lupus cells by our method. 4. The difference in appearance of the inclusion body of some of these cells from the characteristic Hargraves cell is highlighted. 5. Theoretic considerations of the mechanism of lupus cell formation are discussed and reassessed in the light of our experience with this method. For the formation of "L.E." cells it seems necessary that living polynuclear leukocytes, dead cells and lupus serum be brought together. The lupus serum can depolymerize the desoxyribose nucleic acid of the nuclei of the dead cells, but not of living cells. The depolymerized material is then phagocytized by living polynuclear cells and formation of lupus cells results.


2002 ◽  
Vol 35 (6) ◽  
pp. 674-676 ◽  
Author(s):  
Sergei Radaev ◽  
Peter D. Sun

Crystallizing protein–protein complexes remains a rate-limiting step in their structure characterization. Crystallization conditions for the known protein–protein complexes have been surveyed in both the Protein Data Bank and the BMCD database. Compared with non-complexed proteins, crystallization conditions for protein–protein complexes are less diverse and heavily favor (71%versus27%) polyethylene glycols (PEG) rather than ammonium sulfate or other high-salt crystallization conditions. The results suggest that the stability of protein complexes limits their available crystallization configuration space. Based on the survey, a set of sparse-matrix screen conditions was designed.


1995 ◽  
Vol 230 (1) ◽  
pp. 8-15 ◽  
Author(s):  
A. Hofmann ◽  
M. Tai ◽  
W. Wong ◽  
C.G. Glabe

2002 ◽  
Vol 35 (5) ◽  
pp. 637-640 ◽  
Author(s):  
Peter Nollert

Crystals of transmembrane proteins for X-ray diffraction experiments may be grown either by employing mixed protein–detergent complexes, or in a matrix of liquid-crystalline membraneous material forming a lipidic cubic phase (in cubo). Widespread use of thein cubomethod has been severely hampered by its tediousness and the large amounts of protein required. Here a simple procedure is presented that by virtue of its simplicity and small setup size substantially reduces the preparation time as well as the amount of protein. Crystallization trials are set up in conventional multi-well plates using a semi-automatic dispenser-driven microsyringe. The microprocedure is amenable to full automation and further miniaturization. Its feasibility is demonstrated by screening for new crystallization conditions for bacteriorhodopsin using volumes ofca200 nl of lipidic cubic phase. New crystallization conditions were identified that avoid the necessity of weighing solid precipitation agents.


2018 ◽  
Author(s):  
Fudi Lin ◽  
Yayan Huang ◽  
Na Zhang ◽  
Jing Ye ◽  
Meitian Xiao

AbstractA rapid and simple method for obtaining pure and well-defined oligosaccharides was established by hydrolyzing agar with β-agarase fromVibrio natriegens. The conditions for enzymolysis were optimized as follows: temperature of 45 °C, pH of 8.5, substrate concentration of 0.3%, enzyme amount of 100 U/g and enzymolysis time of 20 h. Neoagaro-oligosaccharides with different degree of polymerizations were gained by hydrolyzing agar with β-agarase at different enzymolysis time. After removing pigment by activated carbon and salts by dialyzing, the enzyme hydrolysis solution was separated with Bio-Gel P2 column chromatography. Neoagaro-oligosaccharides with different degree of polymerizations were acquired. By comparing with standard substances, along with further confirmation by FTIR, MS and NMR, structures of the purified neoagaro-oligosaccharides were identified as neoagarobiose, neoagaroteraose, neoagarohexaose, neoagarooctaose, neoagarodecaose and neoagarododecaose with purities more than 97.0%, respectively. The present study established a method for rapid preparation of various monomers of neoagaro-oligosaccharides that may be of great significance for further study of bioactivities.


2012 ◽  
Vol 13 (2) ◽  
pp. 463-482 ◽  
Author(s):  
Jin-Ho Yoon ◽  
Kingtse Mo ◽  
Eric F. Wood

Abstract A simple method was developed to forecast 3- and 6-month standardized precipitation indices (SPIs) for the prediction of meteorological drought over the contiguous United States based on precipitation seasonal forecasts from the NCEP Climate Forecast System (CFS). Before predicting SPI, the precipitation (P) forecasts from the coarse-resolution CFS global model were bias corrected and downscaled to a regional grid of 50 km. The downscaled CFS P forecasts, out to 9 months, were appended to the P analyses to form an extended P dataset. The SPIs were calculated from this new time series. Five downscaling methods were tested: 1) bilinear interpolation; 2) a bias correction and spatial downscaling (BCSD) method based on the probability distribution functions; 3) a conditional probability estimation approach using the mean P ensemble forecasts developed by J. Schaake, 4) a Bayesian approach that bias corrects and downscales P using all ensemble forecast members, as developed by the Princeton University group; and 5) multimethod ensemble as the equally weighted mean of the BCSD, Schaake, and Bayesian forecasts. For initial conditions from April to May, statistical downscaling methods were compared with dynamic downscaling based on the NCEP regional spectral model and forecasts from a high-resolution CFS T382 model. The skill is regionally and seasonally dependent. Overall, the 6-month SPI is skillful out to 3–4 months. For the first 3-month lead times, forecast skill comes from the P analyses prior to the forecast time. After 3 months, the multimethod ensemble has small advantages, but forecast skill may be too low to be useful in practice.


2016 ◽  
Vol 18 (6) ◽  
pp. 063019 ◽  
Author(s):  
Markus Nyberg ◽  
Tobias Ambjörnsson ◽  
Ludvig Lizana

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