1,456 Matching Annotations
  1. Jul 2019
  2. sg.inflibnet.ac.in sg.inflibnet.ac.in
    1. Active site identification, metal detection and interaction of Dof domain structure
    2. Superposition of the Dof domain with predicted 3D structure
    3. Validation of the predicted 3D structure
    4. Tertiary structural prediction
    5. Secondary structural prediction
    6. Secondary and tertiary structure prediction of SbDof proteins o
    7. Gene structure prediction
    8. Phylogenetic and motif analysis of sequenced Dof domains
    9. In silico characterization of sequenced Dof domains of cereal
    10. Sequencing of Dof domain and gene
    11. Cloning of Dof genes of sorghum using pBSK vector
    12. Cloning of Dof domain and Dof genes using pGEM-T Easy
    13. Gel elution of PCR products
    14. PCR based cloning, sequencing and in silico characterization of Dof domain and Dofgenes of cereals and millet
    15. Comparative analysis of cereals and millets based on banding patterns generated by Dof domain and Dof genes-specific primers
    1. Transformation of ligation mixture in electro-competent E. coli host cells (DH5ααααstrain)
    2. Analysis of PCR amplicons using agarose gel electrophoresis
    3. Qualitative analysis of DNA by agarose gel electrophoresi
    4. Plasmids and bacterial strain
  3. Jun 2019
    1. IFN γ production by CD8 T cells upon stimulation with PMA and viral peptides
    2. Decreased CD3 ζ chain expression on CD8 T cells in HBsAgpositive newborns
    3. Phenotypic and Functional Characterization of CD8 T cells in cord blood
    4. CD107a expression (marker of cytotoxicity)
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¶PQRWVD\LQJRQHJUDSKLVEHWWHUWKDQWKHRWKHU,QIDFWWKH\FDQFRPSOHPHQWHDFKRWKHU+RZ\RXVSOLW\RXUGDWDGHSHQGVRQKRZPXFKGHWDLO\RXQHHGRUGRQ¶WQHHG

      Figure 1-6 and 1-7 look very different, and it could be hard to see that they are documenting the same set of data. This manipulation of data and how it is viewd can be used for very specific intents. If I wanted a client to see that my business has a consistent viewer rate, I would show them them figure 1-7's monthly chart, because of how smooth it looks. To me at first glance, it seems much more "consistent" than figure 1-6, with all of its spikes.

    2. 7KHPDLQSRLQWLVWKDWGDWDDQGYLVXDOL]DWLRQGRQ¶WDOZD\VKDYHWREHMXVWDERXWWKHFROGKDUGIDFWV6RPHWLPHV\RX¶UHQRWORRNLQJIRUDQDO\WLFDOLQVLJKW5DWKHUVRPHWLPHV\RXFDQWHOOWKHVWRU\IURPDQHPRWLRQDOSRLQWRIYLHZWKDWHQFRXUDJHVYLHZHUVWRUHIOHFWRQWKHGDWD

      This is also an important part of marketing. While there is a specific "thing" or "data" that is being produced, the facts are not necessarily all that you're looking for. You want to look at how this connects to the readers or buyers, what it makes them feel and think. Ultimately, the goal is to make these people buy into the thing/idea etc. being sold, .

    3. 7KHIRUPHUUHDGVDVDQXPEHUZLWKRXWPXFKFRQWH[WZKHUHDVWKHODWWHULVPRUHUHODWDEOH

      I think the whole idea of visualizations and statistics is to create something relateable. Without providing context there would be no way for the general public to interact with the data without intense reading and critical analysis. And, let's be honest, who really wants to do that much thinking about every little thing? Creating visualizations help us all to understand complex ideas easier.

      It also helps us to visualize these complex data sets to see patterns and themes that could have otherwise been overlooked. Not only do these visualizations help the general public to understand, it also helps professionals in their field analyze data within different contexts to see all of the potential.

    4. )LQDOO\DOZD\VFRQVLGHU\RXUDXGLHQFHDQGWKHSXUSRVHRI\RXUJUDSKLFV

      I believe this is very important. I think a lot of people tend to forget who they are presenting to, and lots of the valuable information goes to waste. In m Health Care Systems class we were always presented with lots of statistical data but nothing was every explain nor was the source the data was collected from presented so it seemed very misleading. Lots of numbers were thrown around without a true explanation given. After reading through this article, it seems more information was needed for both the students and the professor to understand the information provided.

    5. %DVLFDOO\ZKDW\RX¶UHORRNLQJIRULVVWXIIWKDWPDNHVQRVHQVH0D\EHWKHUHZDVDQHUURUDWGDWDHQWU\DQGVRPHRQHDGGHGDQH[WUD]HURRUPLVVHGRQH0D\EHWKHUHZHUHFRQQHFWLYLW\LVVXHVGXULQJDGDWDVFUDSHDQGVRPHELWVJRWPXFNHGXSLQUDQGRPVSRWV:KDWHYHULWLV\RXQHHGWRYHULI\ZLWKWKHVRXUFHLIDQ\WKLQJORRNVIXQN\

      This reminds me of Organic Chemistry labs. When data points don't make sense, something must have gone wrong in the experiment. It was vital to ensure that the source was found to determine if it would effect the results or if the experiment needed to be redone.

    6. %XEEOHVUHSUHVHQWFRXQWULHVDQGPRYHEDVHGRQWKHFRUUHVSRQGLQJFRXQWU\¶VSRYHUW\GXULQJDJLYHQ\HDU

      I wonder why bubbles were used instead of a geographical map displaying the percent? I know it mentions how it puts people to sleep, but wouldn't this be more confusing?

    7. 7KHLQWHUDFWLYHSLHFHVFUDSHVVHQWHQFHVDQGSKUDVHVIURPSHUVRQDOSXEOLFEORJVDQGWKHQYLVXDOL]HVWKHPDVDER[RIIORDWLQJEXEEOHV

      This seems extremely difficult to follow. I'm wondering how people who are colour blind might interpret this chart due to the similar colours used to display the stats.

    1. The complementary segments of a globin needed for the semisynthesis of mutant chains were prepared by V8 protease digestion (Sivaram eta/, 2001). The a globin was dissolved in 0.01 M ammonium acetate buffer (pH 4) at a concentration of 1.0 mg/ml and digested at 37°C with V8 protease (1: 200, w/w) for 3 hours. The completion of digestion was ascertained by RPHPLC, after which the reaction was quenched by addition of neat TFA to a final concentration of 0.1 %. The complementary segments, al-30 and a31-141, from the digestion mixture were isolated in pure form by size-exclusion chromatography on a Sephadex G50 column (98cm x 2.8cm). The column was equilibrated and run in 0.1% TFA. The lyophilized sample of the digest was dissolved in the above solvent and loaded on to the column. The column was run at a flow rate of 30 mllhour and the elution profile monitored at 280 nm. The individual chromatographic profile of a globin digest showed only two peaks, a31-141 and a1-30 respectively, as expected from a single cleavage at the 30-31 peptide bond. The peak fractions were pooled separately and lyophilized
    2. Generation of complementary fragments, al-30 and a31-141, from heme-free a globin
  4. May 2019
    1. Xylanolytic activity was determined according to Archana and Satyanarayana (1997). The reaction mixture containing 0.5 mL of 1% birchwood xylan in glycine NaOH buffer (0.1 M, pH 9.0) and 0.5 mL of cell free sonicated supernatant was incubated at 80 °C in a water bath for 10 min. After incubation, 1 mL DNSA reagent (Miller, 1959) was added to the reaction mixture and the tubes were incubated in a boiling water bath for 10 min, followed by the addition of 400 μL of 33% w/v sodium potassium tartrate. The absorbance values were recorded at 540 nm in a spectrophotometer (Shimadzu, Japan). The liberated reducing sugars were determined by comparing the absorbance values of these with a standard curve drawn with different concentrations of xylose. One unit (IU) of xylanase is defined as the amount of enzyme required for liberating one μmol of reducing sugar as xylose mL-1 min-1under the assay conditions. Composition of Dinitrosalicylic acid (DNSA) reagent NaOH - 10.0 g Phenol - 2.0 g DNSA - 2.0 g Distilled Water - 1000 mL DNSA reagent was stored in an amber bottle at 4 °C till further use. Sodium sulphite (0.05 % v/v) was added just before the use of the reagent.
    2. Enzyme Assays
    3. Transformation of calcium-competent cells was carried out by the procedure detailed below: •The competent bacterial cells were thawed briefly and 200 μL of cells was mixed rapidly with plasmid DNA (10-50 ng) in fresh, sterile microcentrifuge tubes and maintained on ice for 30 min. A negative control with competent cells only (no added DNA) was also included. •Cell membranes were disrupted by subjecting cells to heat-pulse (42 °C) for 90 sec. •After heat shock, cells were incubated on ice for 5 min. •Cells were then mixed with 1 mL LB medium and incubated with shaking at 37 °C for 1 h. •For blue/white screening 40 μL of X-gal solution (20 mg mL-1 in dimethylformamide) and 4 μL of the IPTG (200 mg mL-1) was spread on LB-ampicillin (LB-amp) plates with a sterile glass rod. The plate was allowed to dry for 1h at 37 °C prior to spreading of bacterial cells. •Bacterial cells (100-200 μL) were spread and the plate was incubated at 37 °C for overnight. •White colonies were picked from the plates and suspended into LB-amp broth and cultivated to OD600=0.5
    4. Transformation procedure
    5. 2 mL of an overnight culture of E. coli cells was inoculated into 100 mL LB medium and incubated with vigorous shaking at 30 °C until A600 of 0.8 was reached. •Cells were collected in 50 mL plastic (Falcon) tubes, cooled for 15 min on ice and centrifuged in a pre-cooled centrifuge (4,000 rpm for 10 min at 4 °C). •The pellet was suspended in 20 mL of ice-cold 50 mM CaCl2-15% glycerol solution, maintained on ice for 15 min and centrifuged again at 4,000 rpm for 10 min at 4 °C. •Pellet was resuspended in 2 mL of ice-cold 50 mM CaCl2-15 % glycerol solution, kept on ice for 30 min and aliquoted in 400 μL in microcentrifuge tubes. These were stored at -80 °C until required.
    6. Preparation of calcium-competent cells
    7. Preparation of electrocompetent cells (E. coli cells) A protocol was employed. The procedure was carried out in cold under sterile conditions as follows: •A single colony of E. coli DH10B/ DH5α/XL1blue was inoculated in 20 mL of LB medium and grown overnight at 30 °C. •500 mL LB medium was inoculated with 5mL of this overnight grown culture of the E. coli and incubated with vigorous shaking (250 rpm) at 30 °C until an A600of 0.5 - 0.8 was achieved. •The cells were chilled in ice for 10-15 min and transferred to prechilled Sorvall® centrifuge tubes and sedimented at 4,000 rpm for 20 min at 4 °C. •The supernatant was decanted and cells were resuspended in 500 mL of sterile ice-cold water, mixed well and centrifuged as described above. •The washing of the cells described above was repeated with 250 mL of sterile ice-cold water, following which cells were washed with 40 mL of ice-cold 10 % (v/v) glycerol and centrifuged at 4,000 rpm for 10 min. •The glycerol solution was decanted and the cell volume was recorded. The cells were resuspended in an equal volume of ice-cold 10 % glycerol. •Cells were then dispensed in 40 μL volumes and stored at -80 °C until required.
    8. Electrotransformation
    9. BACTERIAL TRANSFORMATION
    10. Ligation of insert DNA with dephosphorylated vector
    11. In order to minimize self ligation of vector during cloning experiments, the digested DNA was subsequently treated with calf intestinal phosphatase (CIP) [NEB, UK]. The reaction conditions and amount of CIP were optimized and varied from (0.06-1) unit/picomole DNA termini. The dephosphorylation reaction was carried out in 50 μL reaction as follows. Reaction mixture containing no restriction enzyme was treated as control. Reaction was incubated for 1 h at 37 °C and stopped by heat inactivation at 65 °C for 20 min. 2.5.5. Composition of restriction mixture (50 μL) Linearized Plasmid DNA X μL (1 μg) CIP 1 μL (0.06-1 U μL-1) Reaction buffer (10X) 5.0 μL Distilled water Y μL Total volume 50 μL Linearized and dephosphorylated plasmids from each reaction were purified from low melting agarose gel using gel extraction method according to the manufacturer’s protocol (Qiagen gel extraction kit, Germany). 100 ng DNA from each reaction was then ligated in15 μL reaction volume containing 1.5 μL of 10X ligation buffer (NEB, England) and 0.2 μL of T4 DNA ligase to check the efficiency of self ligation after dephosphoryaltion. The ligation mixture was incubated at 16 °C for overnight and transformed into E. coli DH5αcompetent cells.
    12. Dephosphorylation of the restricted plasmid
    1. The ligation reaction consisted of 10 ng of vector, appropriate amount of insert (insert:vector ratio :: 3: 1), 1 x ligation buffer and 1 U of T 4 DNA ligase (NEB, England). The total volume was made up to 10 III with autoclaved water. The ligation reaction mixture was incubated at 16°C for 12 hrs
    2. Ligation
    3. cryopreserved culture vial was obtained from the liquid nitrogen tank, and thawed quickly at 37°C in a water bath. To the vial, O.lv of 12% NaCl was addeq I slowly, dropwise, while shaking the tube gently. Subsequently, 10v of 1.6% NaCl I was added slowly, dropwise while swirling the tube, followed by centrifugation at 200 g at 20°C for 5 min. The supernatant was discarded and 10v of RPMI 1640 complete media was added, followed by centrifugation at 200 g at 20°C for 5 min.' After removal of the supernatant, pelleted parasites were resuspended in complete I media at 0.5% hematocrit. Cultures were gassed with 5% C02, 3% 02, and 92%' N2 and maintained at 37°C
    4. Revival of cryo-preserved Plasmodiumfalciparum cultures
    1. Enzymatic assays using acyl-peptidyl substrates were set up as follows: 100-120 llmoles of purified ~PL/RNRP protein, 200 l!M valeryl-FT AA-CoA/ valery 1-FT AAlaninal and 2 mM NADPH were incubated at 30°C for 2 hrs. The protein was precipitated with acetonitrile and the reaction was loaded on C 18 RP HPLC column (250 x 4.6 mm, 5l!, phenomenex). The products could be resolved using following gradient: 0 to 48% B in 25 min, 48% B in 40 min and 70% B in 50 min (A-water with 0.1% TF A and B-acetonitrile with 0.1% TF A) at a flow rate 0.6 ml/min. The elution profile was monitored at 220 nm. The identity of peaks obtained was confirmed by TOF-MS and tandem mass spectrometric analysis using ESI-MS (API QSTAR Pulsar i MS/MS, Applied Biosystems).
    2. The enzymatic assays were performed as described for wild type ~Pl. in chapter 2. The standard reaction mixture contained 100 J.lM fatty acyl-CoA (30 J.lM [1-14C] fatty acyl-CoA (55 mCi/mmole,ARC) and 70 J.lM of unlabeled fatty acyl CoA), 2 mM NADPH and 10-20 nmoles protein for l-2 hrs. Lauroyl aldehyde [ l-14C] was obtained enzymatically from [ l-14C] lauric acid (55mCi/mmole,ARC) using the FadD9 protein, and extracted from TLC by using ethyl acetate. Assays were set up using a total of 100 J.lM ('4C labeled + unlabeled) of lauroyl aldehyde in the presence of 2 mM NADPH and 10-20 nmoles protein for 1-2 hrs. The products were extracted twice in 300 J.ll of hexanes and resolved on silica gel 60 F2s4 TLC plates (Merck) using hexanes:ethyl acetate (80:20, v/v) solvent system. The radiolabeled product was detected by using phosphorimager (Fuji BAS500)
    3. nzymatic assays and product characterization
    1. treatment were harvested by centrifugation at 250 x g for 5 min following which they were resuspended in 1x PBS (pH 7.5). PI was added at a final concentration of 1 J.tg/mL and incubated for 5 minutes following which the cells were pelleted by centrifugation and washed once with PBS. These cells were analyzed for uptake of PI by either flow cytometry in FL2 channel (570 nm) or by fluorescence microscopy using a G2A filter block.
    2. Propidium iodide (PI) is a DNA intercalating fluorescent dye which is excluded by viable cells with intact membranes, however, dead and dying cells with damaged membranes take up the dye. To assess viability, cells after appropriate
    3. Assay for cell viability by propidium iodide dye exclusion method
    4. Biochemical and cell biology techniques
    1. Phaser is a program for phasing macromolecular crystal structures by both molecular replacement and experimental phasing methods (A. J. McCoy, 2007). The novel algorithms in Phaser are based on maximum likelihood probability theory and multivariate statistics rather than the traditional least-squares and Patterson methods. For molecular replacement, the new algorithms have proved to be significantly better than traditional methods in discriminating correct solutions from noise. One of the design concepts of Phaser was that it be capable of a high degree of automation. Phaser has novel maximum likelihood phasing algorithms for the rotation functions and translation functions in MR, but also implements other non-likelihood algorithms that are critical to success in certain cases.
    2. Automated molecular replacement program (Phaser)
    3. merging data, and symmetry equivalent positions, space group-specific systematic absences, total percentage of data collected and the linear Rmerge for data reduction. Finally, truncate program was used to obtain structure factor or amplitudes from averaged intensities (output from SCALA, or SCALEPACK) and write a file containing mean amplitudes and the original intensities. If anomalous data is present then F(+), F(-), with the anomalous difference, plus I(+) and 1(-) are also written out. The amplitudes are put on an approximate absolute scale using the scale factor taken from a Wilson plot. For all the Fab-peptide complexes and unliganded Fab of BBE6.12H3 antibody, the diffraction data were collected and processed using MOSFLM and subsequently merged using SCALA. For all the Fab-peptide complexes of 36-65 Fab, the diffraction data were collected and processed using DENZO and subsequently merged using SCALEPACK. The cell dimensions and space groups were unambiguously determined for each crystal. The solvent content and Matthews's constant were calculated (Matthews, 1968). The merged and scaled intensities were used for structure determination.
    4. parameters using the whole data set. It is also used for merging different data sets and carrying out statistical analysis of the measurements related by space group symmetry. SCALEPACK also provides the detailed analysis of the merged data, and symmetry equivalent positions, space group-specific systematic absences, total percentage of data collected and the linear Rmerge for data reduction. MOSFLM is a package of programs with an integrated graphical user interface for processing data collected on any detectors. The programs cover all aspects of data reduction starting from the crystallographic pattern recorded on an image to the final intensities of observed reflections. In MOSFLM this entire process of integration of diffraction images is subdivided into three steps. The first is the determination of the crystal parameters, in particular the crystal lattice (unit cell) and its orientation relative to a laboratory axial system (usually based on the X-ray beam direction and the rotation axis)_ This is usually referred to as autoindexing. Knowledge of these parameters then allows an initial estimate of the crystal mosaicity. The second step is the determination of accurate unit-cell parameters, using a procedure known as post-refinement. This requires the integration of one or more segments of data with a few images in each segment. The final step is the integration of the entire set of diffraction images, while simultaneously refining parameters associated with both the crystal and the detector. After integration of the data, next step is to scale and merge the data set. Scaling and merging are done with the program SCALA. This program scales together multiple observations of reflections, and merges multiple observations into an average intensity. The merging algorithm analyses the data for outliers, and gives detailed analyses. It generates a weighted mean of the observations of the same reflection, after rejecting the out:iers. SCALA also provides the detailed analysis of
    5. therefore only partially recorded on any individual image. For each predicted reflection, the background-subtracted diffracted intensity must be estimated. Although straightforward in principle, defects and limitations in both the sample (the crystal) and the detector can make this difficult in practice. Complicating factors include crystal splitting, anisotropic and/or very weak diffraction, high mosaicity, diffuse scattering, the presence of ice rings or spots, unresolved or overloaded spots, noise arising from cosmic rays or zingers, backstop shadows, detector blemishes, radiation damage and spatial distortion. These experimental factors will be important in determining the final quality of a data set. The HKL2000 (Otwinowski, 1997) is GUI based suite of programs for the analysis of X-ray diffraction data collected from single crystals. The package consists of three programs: DENZO, XDISPLA YF and SCALEPACK. HKL is the program that converts the raw X-ray diffraction data, collected from an image plate and reduces it to a file containing the hkl indices, intensities of the spots on the image plate along with estimates of errors involved. DENZO initially performs peak searching. The autoindexing algorithm carries out complete search of all the possible indices of the reflections picked by peak search using a fast Fourier transformation (FFT) software module. After search for real space vectors is completed, the program finds the three best linearly independent vectors, with a minimal unit cell volume, that would index all of the observed peaks. After refining the initial cell dimensions and detector parameters, the determined values are applied to the rest of the frames and the parameters are refined for each frame. The diffraction maxima are also integrated by DENZO_ The program XDISPLA YF (W., 1993) enables visualization of the peak search and processing procedures. SCALEPACK finds the relative scale factors between frames and carries out precise refinement of crystal
    6. The collection of macromolecular diffraction data has undergone dramatic advances during the last 20 years with the advent of two-dimensional area detectors such as image plates and CCDs, crystal cryocooling and the availability of intense, monochromatic and highly collimated X-ray beams from synchrotron sources. These technical developments have been accompanied by significant advances in the software used to process the resulting diffraction images. In particular, autoindexing procedures have improved the ease of data processing to the point that in many cases it can be carried out automatically without any user intervention. However, the procedure used to collect the diffraction images, the screenless rotation method, has remained essentially unchanged since it was first suggested for macromolecular crystals by Xuong et al. (Nguyen-huu-Xuong, 1968) and by Arndt and coworkers and popularized by the availability of the Arndt-Wonacott oscillation camera (Arndt, 1977; U. W. Arndt, 1973). In this procedure, each diffraction image is collected while rotating the crystal by a small angle (typically between 0.2 and 2°) about a fixed axis (often referred to as the cpaxis). The only development of the method has been the use of very small rotation angles per image (the so-called fine cp-slicing technique) to provide improved signal to noise for weakly diffracting samples. Since, virtually all macromolecular diffraction data are collected in this way (with the exception of data collected using the Laue technique). The starting point for data integration will therefore be a series of such diffraction images and the desired outcome is a data set consisting of the Miller indices (hk/) of all reflections recorded on these images together with an estimate of the diffracted intensities I(hkl) and their standard uncertainties al(hkl). This requires the prediction of which reflections occur on each image and also the precise position of each reflection on each image (note that typically most reflections will be present on several adjacent images and
    7. X-ray intensity data processing
    8. mounted on goniometer heads, which were in turn fixed on the oscillator dial of the image plate. However since our crystals suffered significant radiation damage at room temperature we decided to attempt cryo-crystallography and collected data at low temperature. Radiation damage to protein crystals is greatly reduced at lower than room temperatures (D. J. Haas, 1970; Low et al., 1966). Primary radiation damage is largely caused by interactions between the molecules in the crystal and the beam. This energy is dissipated in at least two ways; it produces thermal vibrations (heat) and it provides the necessary energy to break bonds between atoms in the molecules. Secondary damage to the crystals is caused by the diffusion of reactive radicals produced due to damage to the protein. This diffusion is aided by the presence of thermal energy. At cryo-temperature of around 1 OOK, thermal damage is limited and also the reactive products are immobilized and do not cause extensive secondary damage in areas of the crystal which are not exposed to the beam (Garman, 1999). For low temperature data collection, the crystals were initially soaked in a cryo-protectant, which was basically the mixture of the mother liquor and antifreeze. We added 30% glycerol to our mother liquor, in which the crystals were soaked from between 1 to 5 minutes to achieve cryo-protection. The crystals were then picked up using a 20Jl nylon loop, which was immediately flash frozen in a stream of nitrogen at 120k at a flow rate of 6 liters/min (Oxford cryo-systems). The crystals were centered in the beam using the two arcs and translations on the goniometer head and by viewing the crystal on the monitor of the attached CCD camera. The collimation, crystal to detector distance, oscillation angle and the exposure time per frame were optimized after a few trial frames in each case.
    9. Data collection for macromolecular crystallography involves exposure of the crystal to X-rays and recording the intensities of the resultant diffraction patterns. Rapid advances in this field have made available sophisticated electronic detectors like the Image plate detector, high power X-ray generators and synchrotrons. Successful data set collection is followed by data processing to extract the hkl indices with corresponding intensities, along with an estimate of the errors involved. At the core of the Image Plate detector is an amorphous thin film made of Barium, Europium and Bromium. This material that is coated on to a motorized plate absorbs X-rays to form F-centers. These F-centers are the regions that store photon energy as excited electrons. After the exposure is complete the plate is read by a He-Ne (2eV) red laser. Absorption of photons induces excited electrons to return to ground state with the emission of blue light (4eV) which is quantitatively read by a photomultiplier. Exposing it to intense white radiation erases the plate. While the basic technology behind the image plates remains the same, improvements in electronics and computers has led to greater automation and faster data collection cycles. The X-ray intensity data for various Fab-peptide complexes of 36-65 were collected on the Mar345dtb, installed on a rotating anode X-ray source (RIGAKU, Japan) operating at 50kV and 1 OOmA (CuKa. radiation) with Osmic mirrors (RIGAKU, Japan). While the Mar225 image plate installed at BM14 (ESRF, Grenoble, France) was used to record three Fab-peptide complexes of BBE6.12H3. Data for antigen free BBE6.12 H3 Fab and its complex with Ppy peptide was recorded on Mar345dtb image plate (Mar research, Germany), installed on the home source. For data collection at room temperature, the crystals were mounted in 0.5 mm quartz capillary tube along with some mother liquor. The capillaries were then
    10. X-ray intensity data collection
    11. a buffered protein solution in the form of a droplet in contact with the precipitant through the vapor phase. The precipitant slowly causes dehydration to occur in the protein droplet increasing the effective concentration of the protein. The hanging drop crystallization experiment is set up in 24 well tissue culture plates, with the drop of protein solution containing 50% of the precipitant in the mother liquor suspended over the precipitant solution from a siliconized cover slip. This setup is sealed with silicon grease to facilitate controlled vapor diffusion between the well and the drop. For setting up hanging drop crystallization, a pure preparation of Fab molecules in the crystallization buffer (50 mM Na-cacodylate pH 6.7, 0.05% sodium azide or 50mM Tris-Cl pH 7.1, 0.05% sodium azide) was concentrated to a final concentration of 10 mg/ml. For the antibody-peptide complexes, 50-fold molar excess of the peptide was added to the Fab solution. Hanging drops of 8 Jll volume containing 4 111 of the Fab so:ution and 4 111 of varying concentrations of the precipitant were set up in 24-well tissue culture plates (Nunc, Denmark). Initially, a variety of precipitants were used in the crystallization experiments. Conditions which gave indications of crystal formation were then further explored to improve the quality of the crystals. The crystallization plates were maintained at room temperature in insulated conditions so as to prevent rapid changes in temperature. For crystallization of BBE6.12H3Fab-peptide complexes, the crystallization plates were also maintained at 8°C in vibration free incubator (RUMED, Rubarth Apparate, GmbH, Germany). The plates were checked for the presence of crystals every two weeks.
    12. One of the most widely utilized methodologies of crystallization is hanging drop vapor diffusion technique (Wlodawer and Hodgson, 1975). The setup involves
    13. Crystallization
    14. Crystallization and data collection
    15. Fab purification from the digestion mixture was carried out by ion-exchange chromatography using SPW-DEAE (60xl50 mm) column on a Waters3000 preparative HPLC (Waters, USA). In:tially, a blank run was carried out thereafter the column was allowed tore-equilibrate with the wash buffer (10 mM Tris-Cl, pH 8.0). A salt gradient of 0 to 0.2 M NaCI over a period of 120 minutes was used to elute the Fab. An aliquot from all the collected fractions were precipitated by using chilled acetone and were analyzed on a SDS-PAGE gel to ascertain which fraction corresponds to Fab. Fab, which has low or zero net negative charge at pH 8.0, was eluted out as the first major peak early in the gradient. The Fe portion and any undigested IgG which have a higher net negative charge at pH 8.0 would elute out later in the gradient. The Fab fractions collected from various HPLC runs for both the antibodies were pooled, concentrated and dialyzed against their respective crystallization buffer (50 mM Na-cacodylate pH 6.7, 0.05% sodium azide and SOmM Tris-Cl pH 7.1, 0.05% sodium azide).
    16. Purification of Fab fragment
    1. The pure PCR amplified product, and the vector were digested with required· restriction enzymes in the reaction buffer as per supplier's recommendation. Ten units of enzyme were used to digest I Jlg of DNA and the samples were incubated for three hours at appropriate temperature. The vector was dephosphorylated with calf intestinal phosphatase (0.2 units/Jlg of DNA) for 30 min. at 37 °C. After digestion, relevant fragments were gel purified in 15% PEG-8000-T AE solution as described by Zhen and Swank (1993). Ligation of the vector and insert DNA was performed in a reaction volume of 20 Jll using 400 units oi T4 DNA ligase in the recommended ligation buffer at 16 °C for 12 h. A control ligation reaction without the insert was also done keeping the other components same. The concentration of insert was eight to ten times more than the vector. The ligated sample and control mix was later used for transformation.
    2. DNA Digestion and Ligation
    3. DNA restriction enzymes were purchased from New England Biolabs (Massachusetts, USA) and Life Technologies (Maryland, USA). Lysozyme and RNase A were obtained from Sigma. RNase Tl, DNA ligase, RNA polymerase, Taq DNA polymerase, lKb DNA ladder and prestained molecular weight markers for· proteins were obtained from Life Technologies (Maryland, USA). Other protein molecular weight markers were from Sigma chemical co. T4 polynucleotide kinase were purchased from Promega. T7 DNA polymerase was obtained from USB.
    4. Enzymes and Molecular Weight Markers
    1. r-bZP3 was arsanilated using a modification of the procedure of Nisnoff (1967). Briefly, arsanilic acid (100 mg) was dissolved in 5 ml of I M HCI. A IO ml stock of NaN02 (10 mg/ml) was also prepared fresh and added dropwise to the arsanilic acid solution while vortexing. Activation of arsanilic acid was checked on starch-KI paper. The ice cold activated arsanilic acid solution was added dropwise to the protein solution (5 mg of r-bZP3 in 100 mM PB, pH 7.4) stirring constantly in an ice water bath, while pH was maintained between 9.0 and 9.5 with 10 N NaOH. The protein solution was dialyzed extensively against I 00 mM PB having 4 M urea. Arsanilation of r-bZP3 was checked by ELISA using ars-r-bZP3 for coating ( 1 flg/well) and using a 1:100 dilution of murine anti-ars MAb, R 16.7 (Durdik et al., 1 989). Bound Ab was revealed using anti-mouse HRPO conjugate (I :5000). Three monkeys previously immunized with r-bZP3-DT conjugate (MRA-375, MRA-640 and MRA-672) and 2 naive monkeys (MRA-446 and MRA-670) were immunized at 2 intramuscular sites with 250 flg of ars-bZP3 conjugate using Squalene:Arlacel A ( 4: 1) as an adjuvant. Boosters were administered at intervals of 20 days and bleeds were collected I 0 days post immunization. Bleeds were analyzed by ELISA using r-bZP3 and ars-BSA for coating to determine anti-bZP3 and anti-ars Ab titres as described earlier.
    2. Arsanilation of r-bZP3
    3. administered as and when required. Animals were put on continuous mating with males of proven fertility after administration of the three primary injections and monitored for menstrual cyclicity and conception. Ab titres were determined as described above except that anti-monkey HRPO conjugate was used as the revealing Ab.
    4. Female bonnet monkeys (Macaca radiata) reared at the Primate Facility (Nil, New Delhi) were selected and serum progesterone levels were estimated for atleast three months in samples which were collected biweekly. Animals showing atleast two consecutive normal ovulatory peaks (serum progesterone levels >2 ng/ml) (Bamezai, 1986) were selected for fertility trials. Five animals (MRA 375, 515, 640, 672, 770) immunized with 250 Jlg equivalent of r-bZP3, expressed in SG I3009[pREP4] cells, conjugated to DT, was emulsified with Squalene and Arlacel A, adjuvants permitted for human use, in a ratio of 4: I and administered intramuscularly at two sites. In addition, the primary dose also contained I mg/animal of SPLPS as an additional adjuvant. Animals were boosted at intervals of 4-6 weeks depending on the Ab titers with 250 Jlg of r-bZP3-DT using Squalene and Arlacel A as adjuvants. A second group of 3 monkeys (MRA 384, 502, 661) were immunized using a slightly different protocol. The primary immunization consisted of 125 J.lg of r-bZP3-DT and 125 J.lg of r-bZP3-TT (expressed in BL2I(DE3) cells) using the same adjuvants and immunization protocols mentioned above except that boosters were administered alternately with 250 Jlg of r-bZP3-DT or -TT conjugates using Squalene and Arlacel A as adjuvants. Following completion of the primary immunization and 2 boosters at monthly intervals, bleeds (1-2 ml) were collected biweekly from the antecubital vein for estimation of progesterone levels and Ab titres. Boosters were
    5. Immunization of Female Bonnet Monkeys
    6. Progesterone levels were estimated from sera of bonnet monkeys which were bled biweekly using a radioimmunoassay employing reagents and protocol as prescribed by the W.H.O. Matched Assay Reagent Programme (Sufi et al., 1983). Each sample was run in duplicates. Progesterone was extracted from serum (0.1 ml) by the addition of 2 ml of ice-cold ether in each tube and vortexing for 2 min. The tube was immersed in liquid nitrogen in order to flash freeze the serum phase and the unfrozen ether phase which contained the extracted steroid hormone was decanted into another tube. The ether was allowed to evaporate 0/N and 0.5 ml of steroid assay buffer (0.1 M PBS, pH 7 .3, 0. 1% thiomersal and 0.1% gelatin) was added to the tubes and the tubes were incubated at 40°C for 30 min. Steroid sticking to the walls of the tubes was recovered by vigorous vortexing. 100 J..LI of anti-progesterone Ab (at a dilution giving -50% binding of tritiated p.rogesterone in the absence of unlabelled competing progesterone) was then added to the tubes followed by addition of 0.1 ml of 3H-progesterone ( -10,000 cpm/tube). The mixture was incubated for atleast 16 hrs at 4oc. Unbound progesterone
    7. was separated by addition of 0.2 ml of ice cold assay buffer containing 0.625% activated charcoal and 0.0625% dextran and incubated for 30 min at 4oc. This was followed by centrifugation at 2500 rpm for I 5 min at 4°C. The supernatant was carefully decanted into scintillation vials and 4 ml of scintillation fluid (0.4% 2,5 diphenoxazole; 0.01% POPOP [1-4 bis(5-phenyl-2-oxazolyl)benzene] in sulfur free toluene) was added and counted in a liquid scintillation beta counter (Beckman Instruments, California, USA). The amount of progesterone per ml of serum was calculated from a standard curve with known amounts of progesterone in each assay.
    8. Progesterone Radioimmunoassays
    9. Human oocytes were washed twice with PBS containing 0.1 % BSA and then incubated with 1 :50 dilution of immune or pre-immune serum samples at RT for 30 min. Following washing with PBS (3 changes of 5 min each), the oocytes were treated with goat anti-rabbit Ig-FITC conjugate for 30 min at RT. After washing with PBS, the treated oocytes were mounted in Glyceroi:PBS (9: 1) and examined under fluorescent microscope.
    10. Indirect Immunofluorescence on Human Oocytes
    11. In addition, cryosections of an ovary from a normal cycling female (10 years) were also processed. Sections passing through a follicle were selected, washed in PBS and blocked for 30 min in 5% normal goat serum. The sections were incubated at 37°C with 1 :250 dilution of rabbit pre-immune and immune sera for 1 h, washed with PBS and incubated for 1 h with 1 :2000 dilution of goat anti-rabbit lg-FITC conjugate. Slides were washed with PBS and mounted in Glyceroi:PBS (9: 1) and examined under fluorescent microscope.
    12. A 3 year old monkey was treated daily for 3 days with an intramuscular injection of 25 IU of PergonaJ® (Laboratoires Serono S.A., Aubonne, Switzerland). The monkey was ovarectomized on day 6, and the ovary was snap frozen in liquid nitrogen and sections of 5 J..Lm thickness were cut in a cryostat at -20°C and fixed for 20 min in chilled methanol.
    13. Immunofluorescence on Bonnet Monkey Ovarian Sections
    14. Porcine ZP3a. and ZP3P prepared as described previously (Yurewicz et al., 1987) and purified r-bZP3 were tested for their reactivity with rabbit anti-r-bZP3 Ab in the immunoblot by the same procedure as described above except that goat anti-rabbit Ig-HRPO conjugate was used.
    15. Reactivity with Porcine ZP3
    16. Microtitration plates were coated with r-bZP3 at a concentration of 200 ng/well in 50 mM PBS, pH 7.4 for I hr at 37°C and then at 4oc overnight. Plates were subsequently washed once with PBS and blocked with 1% BSA for I hr at 370C in PBS to reduce non-specific binding. Blocking was followed by three washes of 5 min each with PBS containing 0.05% Tween-20 (PBST). Plates were incubated with varying dilutions of preimmune and immune sera for 1 h and bound Ab was revealed with the anti rabbit-HRPO conjugate used at an optimized dilution of 1:5000 in PBS. After washing to remove unbound anti-rabbit-HRPO conjugate, the enzyme activity was estimated with 0.1% orthophenylenediamine (OPD) in 50 mM citrate phosphate buffer, pH 5.0 having 0.06% of hydrogen peroxide as the substrate. The reaction was stopped by adding 50 J..fllwell of 5 N H2S04 and the absorbance read at 490 nm in a microplate reader (Molecular Devices Corporation, California, USA). The Ab titer was calculated by regression analysis and is represented by Ab units (AU) as the reciprocal of the dilution of the Ab giving an A490 of I .0
    17. Titration of Rabbit Anti-bZP3 Sera
    18. administered at two sites. In addition, the primary dose also contained 500 J..Lg of SPLPS as an additional adjuvant. This was followed by 2 booster at 4 weekly intervals with an equal amount of r-bZP3-DT conjugate.
    19. Female New Zealand White rabbit (Small Animal Facility, National Institute of Immunology, New Delhi, India), 6 months of age was immunized intramuscularly with r-bZP3-DT conjugate equivalent to 125 Jlg of r-bZP3 (expressed in SG13009[pREP4] cells) in 0.9% saline emulsified with Squalene and Arlacel "A" in a ratio of 4: I and
    20. Immunization of Rabbit