laboratory communications
From screen to structure with a harvestable microfluidic device
aNational Synchrotron Light Source, Brookhaven National Laboratories, Upton, NY 11973, USA, bStructural Biology Resource Center, Rockefeller University, 1230 York Avenue, New York, NY 10065, USA, cJAN Scientific Inc., 4726 Eleventh Avenue NE, Suite 101, Seattle, WA 98105, USA, dDepartment of Chemistry, Biophysical Chemistry Group, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen, Denmark, eMicrolytic ApS, Universitetsparken 7, DK-4000 Roskilde, Denmark, and fDepartment of Cell and Molecular Biology, Uppsala University, SE-75 124 Uppsala, Sweden
*Correspondence e-mail: ms@microlytic.com
Advances in automation have facilitated the widespread adoption of high-throughput vapour-diffusion methods for initial crystallization screening. However, for many proteins, screening thousands of crystallization conditions fails to yield crystals of sufficient quality for structural characterization. Here, the rates of crystal identification for thaumatin, catalase and myoglobin using microfluidic Crystal Former devices and sitting-drop vapour-diffusion plates are compared. It is shown that the Crystal Former results in a greater number of identified initial crystallization conditions compared with vapour diffusion. Furthermore, crystals of thaumatin and lysozyme obtained in the Crystal Former were used directly for in situ and upon harvesting and cryocooling. On the basis of these results, a crystallization strategy is proposed that uses multiple methods with distinct kinetic trajectories through the protein phase diagram to increase the output of crystallization pipelines.
bothKeywords: Crystal Former; protein crystallization; structural biology; liquid–liquid diffusion; microfluidics.
PDB references: lysozyme, 3qy4; thaumatin, 3qy5
1. Introduction
Protein crystals are generated by perturbing the solubility of a concentrated pure protein solution through the addition of precipitating reagents such as salts, polymers and other additives that promote crystal et al., 1995). In addition to precipitant selection, which is critical to protein crystallization (Kimber et al., 2003; Newman et al., 2005; Page et al., 2003), the method by which the precipitant is introduced to the protein solution also has a significant impact on crystal formation and quality (García-Ruiz, 2003; Gavira et al., 2002). For example, convection-free environments, achieved under microgravity, within hydrogels or inside thin capillary tubes, promote the growth of highly ordered crystals of superior quality (Lorber et al., 1999; Vergara et al., 2005). Furthermore, fluid physics at the microscale allows gentle and well controlled diffusive mixing of solutions. Many studies have established that a diffusive mixing regime facilitates the crystallization process (Dhouib et al., 2009; Emamzadah et al., 2009; Hansen et al., 2002; Ng et al., 2003, 2008).
(McPhersonCapitalizing on the advantages of convection-free diffusion for protein crystallization, various microfluidic devices have been developed and shown to improve protein-crystallization output (Anderson et al., 2007; Garcia-Ruíz et al., 2002; Gavira et al., 2002; Hansen et al., 2004, 2006; Li et al., 2010; Yadav et al., 2005). In this study, we evaluate the impact of employing a commercially available microfluidic device, the Crystal Former (Fig. 1), on initial screening of several well characterized proteins. We have performed crystallization trials using the Crystal Former in parallel with vapour diffusion for the crystallization of thaumatin, catalase and myoglobin. Furthermore, we assess the validity of claims that crystals grown in this device can be harvested for data collection and yield crystals of high quality that can be used directly for In doing so, we have determined the structure of thaumatin from crystals harvested from the Crystal Former and of lysozyme via in situ diffraction experiments.
2. Materials and metods
2.1. Model protein preparation
Thaumatin from Thaumatococcus daniellii (Sigma, catalog No. T7638) was dissolved in distilled water to 50 mg ml−1. Catalase and myoglobin (Sigma, USA) were solubilized in distilled water to 30 and 62 mg ml−1, respectively. Lysozyme was purchased from Hampton Research (catalog No. HR7-108) and was reconstituted to a final concentration of 20 mg ml−1 in distilled water.
2.2. Crystallization of thaumatin, catalase and myoglobin by sitting-drop vapour diffusion
The crystallization conditions for thaumatin, catalase and myoglobin were determined using conditions 1–48 of the Crystal Screen (Hampton Research, USA) and 1–48 of the JCSG-plus (Molecular Dimensions, UK) sparse-matrix screens. For sitting-drop vapour diffusion, 0.5 µl protein solution was mixed with 0.5 µl crystallization solution and equilibrated against 100 µl of the crystallization condition in the reservoir. Sitting-drop plates were sealed with Crystal Clear tape (Hampton Research, USA) and incubated at room temperature for 7 d.
2.3. Crystallization of thaumatin, myoglobin and catalase by liquid–liquid diffusion
The Crystal Formers (Microlytic; https://www.microlytic.com) used in this study each comprised 16 microchannels. Each channel is bounded by two sample-inlet wells. Protein sample was first applied and the channel was allowed to fill by capillary action. The precipitant solution was then applied to the opposing inlet and the experiment was sealed. No external equipment controls sample loading in this format. All three proteins were screened using the Crystal Former in parallel with vapour-diffusion trials. For these trials, 0.3 µl protein sample was applied to each channel followed by the loading of 0.3 µl crystallization reagent into the opposing inlet. The Crystal Formers were then sealed with the sealing tape provided and incubated at room temperature for 7 d. The crystallization trials were inspected manually.
2.4. Harvesting of thaumatin crystals from the Crystal Former
Thaumatin crystals grown from Crystal Screen condition No. 29 (0.1 M HEPES pH 7.5, 0.8 M potassium sodium tartrate tetrahydrate) were selected for data collection. Access to the crystals was accomplished by scoring the sealing film on the back of the Crystal Former with a scalpel. Once exposed, 5 µl of cryoprotectant was added to the open channel to prevent drying of the crystal during manipulations and to protect the crystal during subsequent flash-cooling. Cryoprotectant solutions were generated by combining the respective crystallization condition with an equal volume of 50%(v/v) glycerol that had been prepared in distilled water. Thaumatin crystals were harvested using nylon loops (Hampton Research, USA). Crystals were flash-cooled and stored in liquid nitrogen for subsequent data collection. Diffraction properties were evaluated on the X6A beamline at National Synchrotron Light Source (Brookhaven National Laboratory, Upton, New York, USA) and complete data sets were collected for suitable crystals.
2.5. Crystallization and in situ of lysozyme crystals in the Crystal Former
Given the improved crystallization hit rates obtained in the Crystal Former (Microlytic; https://www.microlytic.com), we wanted to evaluate whether the device was UV-compatible so that protein crystals formed in it could be detected in situ using a UV microscope (JAN Scientific, USA). The Crystal Former and the channels were imaged by placing the microfluidic device in a slide holder mounted on the XY stage of a UVEX microscope. Crystals were imaged using both the 5× and 15× objectives.
2.6. Data collection, processing and of thaumatin and lysozyme
All data were collected at 100 K on the X6A beamline of the National Synchrotron Light Source (Brookhaven National Laboratory, Upton, New York, USA). Complete data sets each consisting of 300 frames of 1° oscillations were recorded using an ADSC Q210 detector. The exposure time was 30 s and the crystal-to-detector distance was 200 mm. Data processing and scaling was performed with HKL-3000 (Minor et al., 2006). Solvent content was computed using the CCP4 package (Winn et al., 2011; Matthews, 1968; Kantardjieff & Rupp, 2003). The structures were determined by using MOLREP (Vagin & Teplyakov, 2010). consisted of repeated cycles of model building in Coot (Emsley & Cowtan, 2004) and in REFMAC (Murshudov et al., 2011). The search models were PDB entries 2vi3 for thaumatin (Asherie et al., 2009) and 2cgi for lysozyme (Jakoncic et al., 2006).
3. Results
3.1. Diffusive mixing kinetics increased crystallization productivity relative to vapour diffusion for well characterized proteins
Thaumatin, catalase and myoglobin were screened with a subset of solutions from the sparse-matrix screens Crystal Screen (48 conditions) and JCSG-plus (48 conditions) in parallel in sitting-drop vapour-diffusion plates and Crystal Former devices. All three proteins yielded crystals in both methods. Remarkably, there were significant differences in the identities and numbers of crystallization conditions for the Crystal Former and sitting-drop experiments. For trials with the Crystal Former, crystals were obtained for 5, 28 and 8% of all conditions for thaumatin, catalase and myoglobin, respectively. The success rates were 1, 7 and 1% for thaumatin, catalase and myoglobin, respectively, using sitting-drop vapour diffusion. Consequently, a fourfold to eightfold increase in success for initial crystallization trials was observed in the Crystal Former (Table 1).
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A comparison of the identified crystallization conditions revealed striking differences between vapour diffusion and the microfluidic device (Fig. 2). Approximately 40% of the conditions identified by vapour diffusion were unique to that method and were not captured in the Crystal Former trials. Similarly, 90% of the crystals grown in the Crystal Former were not identified by the sitting-drop experiments, highlighting the advantages of the Crystal Former in sampling the protein phase space.
To verify that the crystals obtained using the Crystal Former were indeed protein crystals, a representative subset was harvested and their respective diffraction was analyzed on the X6A beamline at the National Synchrotron Light Source (Brookhaven National Laboratory, Upton, New York. USA). For each mounted crystal, several frames were collected in order to verify that these were indeed protein crystals. The maximal resolution obtained from these crystals ranged from 2.8 to 1.1 Å, highlighting the good diffraction quality of the extracted crystals.
3.2. Harvesting and of thaumatin
Thaumatin crystals were grown and prepared for data collection as described previously (Fig. 3a). A single crystal was mounted in a cryoloop and cooled in liquid nitrogen. A complete set of diffraction data was collected and the structure was determined by (Fig. 3b). Electron density was apparent for 206 of the 207 amino-acid residues. The thaumatin structure was refined to 1.25 Å resolution, with R and Rfree values of 15.4% and 16.9%, respectively (Table 2). A single thaumatin monomer was modelled in the along with 201 water molecules and ten tartrate ions. This crystal form was isomorphous to 11 structures previously deposited in the Protein Data Bank (1lr3, 1rqw, 2blr, 2blu, 2d8p, 2g4y, 2oqn, 2vi2, 3dzp, 3dzr and 3e0a). For these depositions, the resolution ranged from 1.05 to 2.3 Å and the Rfree values spanned the range 15.2–25%. As observed in the thaumatin structure reported here, no density was observed for the C-terminal alanine in PDB entries 2blr and 2blu. The remaining entries report unambiguous density for all 207 residues of thaumatin.
‡R = , where Fobs and Fcalc are the observed and calculated structure factors, respectively. §Rfree was calculated using 5% of the diffraction data, selected at random, which were excluded from ¶TAR refers to one tartrate ion. ††Root-mean-square deviation. |
3.3. In situ data collection and for lysozyme
The Crystal Formers were also assessed for their compatibility with in situ X-ray analysis on the X6A beamline (National Synchrotron Light Source, Brookhaven National Laboratory). The Crystal Former was mounted lengthwise with the microchannels perpendicular to the goniometric head. Not only could the Crystal Formers be mounted for the identification of protein crystals, but a complete data set for lysozyme crystals contained within the microchannels could be collected in situ at room temperature (Fig. 3c, Table 2). The of lysozyme was determined at 1.65 Å resolution with R and Rfree values of 17.2% and 22.2% for the final refined structure. These crystals were isomorphous to 78 previous PDB entries. The resolution of previously deposited lysozyme structures ranged from 0.94 to 3.9 Å, with Rfree values ranging from 14.5 to 32.3%.
3.4. Compatibility of the Crystal Former with in situ UV analysis
A commonly used approach for imaging protein-crystallization experiments is UV fluorescence. The amino acid tryptophan emits light at approximately 360 nm when excited with light of 280 nm; hence, if a target protein contains the amino acid tryptophan it should be possible to distinguish target protein crystals from precipitant crystals based on fluorescence. Lysozyme crystals (10–100 µm) were grown in the Crystal Former and the channels were imaged by placing the microfluidic device in a slide holder mounted on the XY stage of a UVEX microscope (JAN Scientific, USA). Fluorescence from the larger crystals (>100 µm) could be visualized with the 5× objective, whereas the small crystals (∼10 µm) could only be seen with the 15× objective by virtue of the higher and higher spatial resolution of the higher power objective (Fig. 3d). The background signal and UV absorption from the material of the Crystal Former was sufficiently low that fluorescence from even the smallest crystals could be detected reliably.
4. Discussion
In this study, we have explored the value of using an alternative method to vapour diffusion for initial crystallization screening, namely liquid–liquid diffusion using the Crystal Former. We have been able to identify crystallization conditions using both the vapour-diffusion and liquid–liquid diffusion methods, with more crystallization conditions resulting from the latter method for all proteins systematically sampled in this work. It should be noted that many of the conditions identified were unique to the respective method and were not captured by the alternate method (Fig. 2). Various studies of crystallization rates by vapour diffusion indicate that proteins that are crystallizable typically do so within a relatively small number of conditions (Kimber et al., 2003; Page et al., 2003). Further exploration of crystallization conditions using the same technique reaches a point of diminishing returns whereby further exploration of additional chemical conditions becomes less likely to yield crystals. The increased number of crystallization conditions identified in this study using the liquid–liquid diffusion method further underscores the important contribution that alternative kinetic trajectories through protein phase space have on the success of crystallization in a given condition. We propose that a more effective strategy for initial crystallization screening would thus be to explore the same chemical space using different crystallization methodologies.
A variety of crystallization formats, including liquid–liquid diffusion, offer unique kinetic trajectories through the protein phase diagram. A comprehensive screening approach that incorporates multiple crystallization formats would therefore be expected to promote the increased identification of crystallization conditions relative to single-technique approaches. Indeed, the data presented here revealed remarkable differences in crystallization behaviour for proteins screened in parallel using Crystal Formers and sitting-drop vapour diffusion. The unique sampling of the protein phase diagram for each crystallization method underlies the distinctive crystallization behaviour observed for these proteins. This resulted in significant differences in crystallization rates, with a pronounced increase in crystallization conditions identified in the Crystal Former trials with all other screening variables constant. The improved mixing kinetics and sampling of the protein phase space, coupled with the compatibility of the Crystal Former to most experimental setups, makes this device well suited as a standard approach to complement the current workflow of both academic and industrial crystallography laboratories.
Supporting information
PDB references: lysozyme, 3qy4; thaumatin, 3qy5
Structure factors: contains datablock r3qy4sf. DOI: https://doi.org/10.1107/S1744309111024456/en54783qy4sup1.hkl
Structure factors: contains datablock r3qy5sf. DOI: https://doi.org/10.1107/S1744309111024456/en54783qy5sup2.hkl
Acknowledgements
Research carried out at X6A is funded by the National Institute of General Medical Sciences, National Institute of Health under agreement GM-0080. The National Synchrotron Light Source, Brookhaven National Laboratory is supported by the US Department of Energy under contract No. DE-AC02-98CH10886. Funding for JCNP was obtained from the Danish Natural Science Research Council (J. No. 21-04-0565). The authors MAC and MOAS declare that they have competing financial interests as they are employed by Microlytic North America Inc. The author VN also has a competing financial interest as he is employed by JAN Scientific USA.
References
Anderson, M. J., DeLaBarre, B., Raghunathan, A., Palsson, B. O., Brunger, A. T. & Quake, S. R. (2007). Biochemistry, 46, 5722–5731. Web of Science CrossRef PubMed CAS Google Scholar
Asherie, N., Jakoncic, J., Ginsberg, C., Greenbaum, A., Stojanoff, V., Hrnjez, B., Blass, S. & Berger, J. M. (2009). Cryst. Growth Des. 9, 4189. Web of Science CrossRef Google Scholar
Dhouib, K., Khan Malek, C., Pfleging, W., Gauthier-Manuel, B., Duffait, R., Thuillier, G., Ferrigno, R., Jacquamet, L., Ohana, J., Ferrer, J.-L., Théobald-Dietrich, A., Giegé, R., Lorber, B. & Sauter, C. (2009). Lab Chip, 9, 1412–1421. Web of Science CrossRef PubMed CAS Google Scholar
Emamzadah, S., Petty, T. J., De Almeida, V., Nishimura, T., Joly, J., Ferrer, J.-L. & Halazonetis, T. D. (2009). Acta Cryst. D65, 913–920. Web of Science CrossRef CAS IUCr Journals Google Scholar
Emsley, P. & Cowtan, K. (2004). Acta Cryst. D60, 2126–2132. Web of Science CrossRef CAS IUCr Journals Google Scholar
García-Ruiz, J. M. (2003). Methods Enzymol. 368, 130–154. Web of Science PubMed Google Scholar
Garcia-Ruíz, J. M., Gonzalez-Ramirez, L. A., Gavira, J. A. & Otálora, F. (2002). Acta Cryst. D58, 1638–1642. Web of Science CrossRef IUCr Journals Google Scholar
Gavira, J. A., Toh, D., Lopéz-Jaramillo, J., García-Ruíz, J. M. & Ng, J. D. (2002). Acta Cryst. D58, 1147–1154. Web of Science CrossRef CAS IUCr Journals Google Scholar
Hansen, C. L., Classen, S., Berger, J. M. & Quake, S. R. (2006). J. Am. Chem. Soc. 128, 3142–3143. Web of Science CrossRef PubMed CAS Google Scholar
Hansen, C. L., Skordalakes, E., Berger, J. M. & Quake, S. R. (2002). Proc. Natl Acad. Sci. USA, 99, 16531–16536. Web of Science CrossRef PubMed CAS Google Scholar
Hansen, C. L., Sommer, M. O. & Quake, S. R. (2004). Proc. Natl Acad. Sci. USA, 101, 14431–14436. Web of Science CrossRef PubMed CAS Google Scholar
Jakoncic, J., Di Michiel, M., Zhong, Z., Honkimaki, V., Jouanneau, Y. & Stojanoff, V. (2006). J. Appl. Cryst. 39, 831–841. Web of Science CrossRef CAS IUCr Journals Google Scholar
Kantardjieff, K. A. & Rupp, B. (2003). Protein Sci. 12, 1865–1871. Web of Science CrossRef PubMed CAS Google Scholar
Kimber, M. S., Vallee, F., Houston, S., Necakov, A., Skarina, T., Evdokimova, E., Beasley, S., Christendat, D., Savchenko, A., Arrowsmith, C. H., Vedadi, M., Gerstein, M. & Edwards, A. M. (2003). Proteins, 51, 562–568. Web of Science CrossRef PubMed CAS Google Scholar
Li, G., Chen, Q., Li, J., Hu, X. & Zhao, J. (2010). Anal. Chem. 82, 4362–4369. Web of Science CrossRef CAS PubMed Google Scholar
Lorber, B., Sauter, C., Robert, M. C., Capelle, B. & Giegé, R. (1999). Acta Cryst. D55, 1491–1494. Web of Science CrossRef CAS IUCr Journals Google Scholar
Matthews, B. W. (1968). J. Mol. Biol. 33, 491–497. CrossRef CAS PubMed Web of Science Google Scholar
McPherson, A., Malkin, A. J. & Kuznetsov, Y. G. (1995). Structure, 3, 759–768. CrossRef CAS PubMed Web of Science Google Scholar
Minor, W., Cymborowski, M., Otwinowski, Z. & Chruszcz, M. (2006). Acta Cryst. D62, 859–866. Web of Science CrossRef CAS IUCr Journals Google Scholar
Murshudov, G. N., Skubák, P., Lebedev, A. A., Pannu, N. S., Steiner, R. A., Nicholls, R. A., Winn, M. D., Long, F. & Vagin, A. A. (2011). Acta Cryst. D67, 355–367. Web of Science CrossRef CAS IUCr Journals Google Scholar
Newman, J., Egan, D., Walter, T. S., Meged, R., Berry, I., Ben Jelloul, M., Sussman, J. L., Stuart, D. I. & Perrakis, A. (2005). Acta Cryst. D61, 1426–1431. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ng, J. D., Clark, P. J., Stevens, R. C. & Kuhn, P. (2008). Acta Cryst. D64, 189–197. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ng, J. D., Gavira, J. A. & García-Ruíz, J. M. (2003). J. Struct. Biol. 142, 218–231. Web of Science CrossRef PubMed CAS Google Scholar
Page, R., Grzechnik, S. K., Canaves, J. M., Spraggon, G., Kreusch, A., Kuhn, P., Stevens, R. C. & Lesley, S. A. (2003). Acta Cryst. D59, 1028–1037. Web of Science CrossRef CAS IUCr Journals Google Scholar
Vagin, A. & Teplyakov, A. (2010). Acta Cryst. D66, 22–25. Web of Science CrossRef CAS IUCr Journals Google Scholar
Vergara, A., Lorber, B., Sauter, C., Giegé, R. & Zagari, A. (2005). Biophys. Chem. 118, 102–112. Web of Science CrossRef PubMed CAS Google Scholar
Winn, M. D. et al. (2011). Acta Cryst. D67, 235–242. Web of Science CrossRef CAS IUCr Journals Google Scholar
Yadav, M. K., Gerdts, C. J., Sanishvili, R., Smith, W. W., Roach, L. S., Ismagilov, R. F., Kuhn, P. & Stevens, R. C. (2005). J. Appl. Cryst. 38, 900–905. Web of Science CrossRef CAS IUCr Journals Google Scholar
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