This research was undertaken on the MX1 beamline at the Australian Synchrotron, part of ANSTO. The authors would like to acknowledge members of the Shearwin and Bruning laboratories for discussions on this work. The authors would also like to acknowledge Dr. Santosh Panjikar and Dr. Linda Whyatt-Shearwin who contributed to the original work that pioneered this protocol.
The following funding is acknowledged: Australian Research Council (grant Nos. DP150103009 and DP160101450 to Keith E. Shearwin); University of Adelaide (Australian Government Research Training Program stipend scholarship to Jia Quyen Truong and Stephanie Nguyen).

1. Experimental planning and considerations
<ol>
	<li>Use pre-existing crystals of the protein of interest, preferably generated through vapor diffusion crystallization. For a generalized protocol of vapor diffusion crystallization, see Benvenuti and Mangani34. Other methods of crystallization such as microbatch under oil and free interface diffusion will require harvesting the crystals prior to crushing to generate microseeds.</li>
	<li>In the preparation of a seed stock, use the highest quality crystals that can be sacrificed. The highest quality crystal can be judged visually based on morphology or the best diffracting crystal can be selected, if such data is available. It is very likely that even better quality crystals are obtained after optimization through seeding. In the case where no crystals are available, crystalline precipitate such as spherulites and needles can be used.</li>
	<li>Identify salt crystals. Salt crystals can grow in crystallization screens and can look like protein crystals. Using salt crystals in rMMS will provide no benefit and will waste precious sample, so it is important to eliminate salt false positives.
	<ol>
		<li>Salt crystals are loud when they are crushed. Crystals must be crushed to generate a seed stock, so this strategy is particularly relevant. If an audible crack sound is heard when crushing up the crystals, the crystal is likely to be salt.</li>
		<li>If the protein contains tryptophan&#160;and tyrosine residues, use ultraviolet fluorescence microscopy to identify protein crystals which fluoresce under these lighting conditions.</li>
		<li>Use Izit dye (methylene blue) to stain protein crystals to differentiate them to salt crystals which remain relatively unstained. However, this procedure is more destructive and is only recommended if one has crystals to spare from replicates of the same drop. 
		NOTE: Although the aforementioned tests may give promising results, salt crystals may still be mistaken for protein crystals. In this case, diffraction experiments can be used to definitively discern between a protein and salt crystal.</li>
	</ol>
	</li>
</ol>
2. Preparation of lithium I3C stock
<ol>
	<li>Measure out 120 mg of I3C (5-amino-2,4,6-triiodoisophthalic acid) into a 1.5 mL microcentrifuge tube.</li>
	<li>Dissolve I3C in 200 &#181;L of 2 M lithium hydroxide. The solution can be gently heated using a heat block at 40-60 &#176;C to encourage dissolution. The resulting lithium I3C solution should be brown and has a concentration of 1 M. 
	CAUTION: Lithium hydroxide is corrosive. Safety glasses, gloves and a lab coat should be worn.</li>
	<li>Measure the pH of the solution. If necessary, add small amounts of 1 M hydrochloric acid or 2 M lithium hydroxide to adjust the pH to between 7 and 8. Add milliQ water to make the final solution volume to 400 &#181;L. The concentration of the I3C stock solution is 0.5 M. 
	NOTE: Step 2.3 is optional. The pH of the solution should be between pH 7-8 prior to any pH adjustment. This step should be performed if the protein of interest is strongly affected by pH. The protocol can be paused here. Lithium I3C can be kept in the dark at 4 &#176;C for at least two weeks35.</li>
</ol>
3. Addition of I3C to the protein stock
<ol>
	<li>Method 1
	<ol>
		<li>Add stock lithium I3C to a 150 &#181;L aliquot of the target protein. The final concentration should be between 5-40 mM lithium I3C.</li>
	</ol>
	</li>
	<li>Method 2 (gentler method)
	<ol>
		<li>Prepare a protein dilution buffer that matches the buffer of the target protein. To this dilution buffer, add stock lithium I3C to give a concentration of lithium I3C between 10-80 mM.</li>
		<li>Dilute the protein 1:1 with protein dilution buffer to give a final concentration of lithium I3C between 5-40 mM. 
		NOTE: Some proteins will precipitate upon coming into contact with high concentrations of lithium I3C in method 1, while other proteins can tolerate it. Method 2 reduces the likelihood of precipitation. However, this method halves the protein concentration. For proteins that do not have an established crystallization protocol, a protein concentration of 10 mg/mL is generally recommended for initial crystallization screening. An initial molar ratio of I3C to protein of 8 is recommended. Protein concentration and molar ratio of I3C to protein can be optimized after the initial screen.</li>
	</ol>
	</li>
</ol>
4. Making a seed stock
<ol>
	<li>Make a rounded probe for crushing crystals.
	<ol>
		<li>With a Bunsen burner on the blue flame, heat a Pasteur pipette towards its middle. Using a tweezer, pull the end of the Pasteur pipette to draw it out into a thin diameter of less than 0.3 mm.</li>
		<li>Once the midsection is thin enough, hold that segment in the flame to separate the pipette at this point and round the end of the pipette to finish the glass probe. 
		NOTE: Rounded probe crystal crushers are sold by third party vendors. These are an alternative to making rounded probes.</li>
	</ol>
	</li>
	<li>Place five 1.5 mL microcentrifuge tubes on ice.</li>
	<li>Under a light microscope, examine the crystallization tray for a suitable condition to generate microcrystals. Ideally, good morphology large crystals are selected. However, this technique also works with poor morphology crystals, needles, plates, microcrystals and spherulites.</li>
	<li>Open up the crystallization tray well. For 96 well crystallization trays sealed with plastic, use a scalpel to cut the plastic sealing the well. For hanging drop trays sealed with grease, the coverslip can be removed using tweezers and inverted onto an even surface.</li>
	<li>Transfer 70 &#181;L of reservoir solution to a microcentrifuge tube and chill it on ice. To the other microcentrifuge tubes, add 90 &#181;L of reservoir solution and return to ice to chill. 
	NOTE: If the reservoir does not have enough volume or does not exist (in the case of microbatch under oil), create crystallization reservoir by mixing the appropriate reagents.</li>
	<li>Agitate the crystal in the drop using the crystal probe to thoroughly crush it up. The crystal needs to be completely crushed up which can be monitored under the microscope.</li>
	<li>Remove all the liquid from the drop and transfer it to the microcentrifuge tube with the reservoir solution. Mix and subsequently take 2 &#181;L of mixture from the microcentrifuge tube and add it back to the well. Rinse the well with the solution and transfer it to the microcentrifuge tube. Repeat this rinse step once more. From this point on, keep the microcentrifuge tube cold to avoid melting the microseeds in the mixture.</li>
	<li>Vortex the tube at maximum speed at 4 &#176;C for 3 min, stopping regularly to chill the tube on ice to prevent overheating. 
	NOTE: Some microseeding protocols add a polytetrafluoroethylene seed bead to the microcentrifuge tube to aid crystal crushing7,36. We have employed the technique without the use of a seed bead with success, but see no problems with utilizing a seed bead to crush up crystals.</li>
	<li>Make a 1 in 10 serial dilution of the seed stock by sequentially transferring 10 &#181;L between the chilled reservoir solutions.</li>
	<li>Store seed stocks that will not be used immediately at -80 &#176;C.</li>
</ol>
5. Setting up an rMMS screen
<ol>
	<li>Setting up a 96 well screening plate using a liquid dispensing robot. In the absence of a robot, a multichannel pipette may also be used.
	<ol>
		<li>Transfer 75 &#181;L from a deep well block to a 96 well crystallization tray. Add 1 &#181;L to the crystallization drop and 74 &#181;L to the reservoir.</li>
		<li>Transfer 1 &#181;L of protein supplemented with lithium I3C, made in step 2, to the crystallization drop.</li>
		<li>Transfer 0.1 &#181;L of seed stock to the crystallization drop.</li>
		<li>Seal the plate with clear sealing tape and incubate the plate at a constant temperature to allow crystal growth.</li>
	</ol>
	</li>
	<li>Setting up a hanging drop screens
	<ol>
		<li>Grease the edges of the hanging drop wells (hanging drop crystallization trays can be found in 24 and 48 well formats).</li>
		<li>Transfer 500 &#181;L crystallization solution into reservoir.</li>
		<li>Near the center of a glass cover slide, place a 1 &#181;L drop of protein supplemented with lithium I3C, made in step 2.</li>
		<li>Add 1 &#181;L of the crystallization solution to the drop.</li>
		<li>Transfer 0.1 &#181;L of seed stock to the crystallization drop.</li>
		<li>Invert the cover slide and seal the crystallization well by pushing the cover slide into the grease.</li>
		<li>Incubate the plate at a constant temperature to allow crystal growth. 
		NOTE: With new and untested seed stocks, it is recommended to use the most concentrated seed stock to maximize the chances of getting crystallization hits. Subsequent conditions can be set up with reduced seed concentration to optimize the number of crystals.</li>
	</ol>
	</li>
	<li>Inspect crystal trays under a microscope regularly for crystal growth. If crystals are of sufficient quality, they can be harvested for data collection. Crystals can also be used to generate new seed stocks and new rMMS screens to allow for iterative optimization.</li>
</ol>
6. Data collection
<ol>
	<li>Harvest crystals using cryoloops, cryoprotect the crystals and flash cool them in liquid nitrogen. For additional information on flash cooling crystals, refer to Teng37 and Garman and Mitchell38.
	<ol>
		<li>During the cryoprotection stage, if the crystal is passed through a new aqueous solution, I3C can be lost from the crystal due to it leeching into the cryoprotection solution. Use lithium I3C in the cryoprotection solution at a concentration that matches the crystallization condition to mitigate this.</li>
		<li>Crystals grown using this protocol have successfully been cryoprotected using Parabar 10312 oil based cryoprotectant (Hampton Research). 
		NOTE: The protocol can be paused here while crystals are stored in liquid nitrogen. 
		CAUTION: Liquid nitrogen can cause cold burns. Liquid nitrogen can also cause asphyxiation if used in enclosed spaces.</li>
	</ol>
	</li>
	<li>Mount the crystal on the X-ray source goniometer and collect diffraction data using the protocol specific for the X-ray source.</li>
	<li>This technique relies on anomalous signal from iodine atoms in I3C. Thus, select the energy of the X-ray to maximize this signal.
	<ol>
		<li>Set synchrotron X-ray sources with tunable energies as low as possible. For many macromolecular crystallography beamlines, the lowest configurable energy is 8000 to 8500 eV.</li>
		<li>Rotating anode X-ray sources cannot be tuned. Commonly used anode sources with copper have the K&#945; edge at 8046 eV, which provides a good anomalous signal for iodine (f&#34; = 6.9 e). Anode sources with chromium have a K&#945; edge at 5415 eV, which provides a large anomalous signal for iodine (f&#34; = 12.6 e).</li>
	</ol>
	</li>
	<li>Radiation damage is a significant problem during data collection as it will degrade the anomalous signal39. Select the exposure time and attenuation of the beam to achieve the best diffraction while minimizing radiation dose. 
	NOTE: In a similar phasing compound with the iodine atoms replaced with bromine atoms, radiation damage has been shown to cause the radiolysis of the carbon bromine bond and a reduction in the occupancy of the bromine atoms24.
	<ol>
		<li>Use inverse beam SAD data collection as a collection strategy. The data is collected in wedges, with opposite wedges collected after each other. This allows Friedel pairs to be collected with an equivalent dose, resulting in an improved measurement of anomalous signal less affected by radiation damage. For example, an eight wedge strategy to collect 360&#176; would involve collecting the data in the order of wedge 1 (0&#176;-45&#176;), wedge 2 (180&#176;-225&#176;), wedge 3 (46&#176;-90&#176;), wedge 4 (225&#176;-270&#176;), wedge 5 (90&#176;-135&#176;), wedge 6 (270&#176;-315&#176;), wedge 7 (135&#176;-180&#176;) and wedge 8 (315&#176;-360&#176;). 
		NOTE: Continuous rotation is an alternative collection strategy to that of inverse beam data collection. For a recent comparison of the collection strategies, see Garcie-Bonte &#38; Katona40.</li>
	</ol>
	</li>
</ol>
7. Data processing and structure solution
<ol>
	<li>Perform data reduction on the diffraction data using XDS41, with the aim of maximizing the anomalous signal. Data reduction input parameters are specific to the dataset and may require some trial and error. Here are some recommendations to start.
	<ol>
		<li>Set FRIEDEL&#39;S LAW=FALSE. Execute CORRECT twice,&#160;setting STRICT_ABSORPTION_CORRECT = TRUE and STRICT_ABSORPTION_CORRECT = FALSE. One run can have a higher anomalous signal than the other. Compare the anomalous signals between the runs using the &#39;Anomal Corr&#39; and &#39;SigAno&#39; disciplines in the output. This provides an indicator of data quality.</li>
		<li>Run SHELXC on the XDS_ASCII.HKL file for a more accurate indication of anomalous signal. The &#39;Ranom&#39; discipline will give an indication of the anomalous signal at different resolutions.</li>
	</ol>
	</li>
	<li>Run POINTLESS42 and AIMLESS43 to scale the data. In AIMLESS, set the parameter ANOMALOUS ON. If the GUI is used, select the option Separate anomalous pairs for outlier rejection and merging statistics. Testing different resolution cutoffs may be required to maximize anomalous signal.</li>
	<li>Solve the protein structure using Auto-Rickshaw automated crystal structure determination pipeline44. Auto-Rickshaw will attempt to solve the phase problem and build the crystal structure of the protein automatically with protein modelling and refinement software.
	<ol>
		<li>For proteins without a homology model template, run the SAD protocol of Auto-Rickshaw in Advanced Mode. Enter the required parameters.
		<ol>
			<li>Select PROTEIN as the molecule type.</li>
			<li>Enter the data collection wavelength in angstroms (&#197;).</li>
			<li>Select &#34;I&#34; as substructure element to indicate iodine atoms was used.</li>
			<li>Select &#34;i3c&#34; as substructure type to indicate I3C was the phasing molecule.</li>
			<li>Select &#34;sub_direct&#34; as the substructure determination method. This method employs SHELXD32 to search for the substructure.</li>
			<li>Select &#34;3&#34; as the number of expected substructure per monomer.</li>
			<li>Enter &#34;1&#34; as the resolution cutoff of substructure search. This allows Auto-Rickshaw to automatically determine a suitable resolution cutoff.</li>
			<li>Enter the number of residues in a single monomer, spacegroup of the dataset, and number of molecules in the asymmetric unit based on the Matthews coefficient.</li>
			<li>Select the appropriate dissemination level of X-ray data that suits the needs. Selecting &#34;AutoRickshaw developers&#34; will allow Auto-Rickshaw developers to troubleshoot the run if problems arise.</li>
			<li>Input the anomalous data as an mtz file.</li>
			<li>Input the protein sequence as a seq, pir or txt file. A seq file can be generated in a text editor (such as Notepad++9 on Windows or nano in Linux). Create a new file, enter the primary sequence of the protein as one long line or separated by line breaks. Save the file with the .seq file extension.</li>
			<li>Enter an institutional email address.</li>
		</ol>
		</li>
	</ol>
	</li>
	<li>Results are delivered via a web-link sent to the email address provided. 
	NOTE: AutoRickshaw is an automated pipeline that invokes various crystallography software packages to solve an X-ray crystal structure32,33,45,46,47,48,49,50,51,52,53,54,55,56,57,58. If the Auto-Rickshaw run fails to solve the structure, other Auto-Rickshaw settings can be tested. The structure determination method can be changed to &#34;sub_phassade&#34; to use Phaser59 instead of SHELXD32. The number of expected substructure per monomer can be also increased or decreased.</li>
	<li>During the experimental phasing of the crystal structure, Auto-Rickshaw will attempt to position heavy atoms in the unit cell, creating a substructure. The equilateral triangle arrangement of iodine atoms in I3C presents an efficient way of validating the substructure. If step 6.3 fails, validating the substructure could aid in troubleshooting structure solution.
	<ol>
		<li>Download the list of heavy atom sites from the Auto-Rickshaw results page. It is a hyperlink called &#34;heavy atom sites&#34;. This will download a text file with the heavy atom sites.</li>
		<li>Change the file extension of the file from .txt to .pdb.</li>
		<li>Open the PDB file in Coot60. Turn on symmetry to see other heavy atoms from neighboring asymmetric units.</li>
		<li>Measure the distances between the heavy atoms, including across asymmetric units. I3C will appear as an equilateral triangle with a side length of 6 angstroms. The presence of a triangle with these dimensions indicates the placements of those heavy atoms are correct.</li>
	</ol>
	</li>
</ol>

The authors have nothing to disclose.

Structure determination of a novel protein in the absence of a suitable homology model for molecular replacement requires experimental phasing. These methods require incorporation of heavy atoms into the protein crystal which adds a level of complexity to the structure determination pipeline and can introduce numerous obstacles that must be addressed. Heavy atoms can be incorporated directly into the protein through labelled expression using selenomethionine and selenocysteine. As this method is costly, laborious and can result in lower protein yields, labelled protein is often expressed after crystallization conditions has been found and optimized with unlabeled protein. Alternatively, crystals can be derivatized by soaking in a solution containing heavy atoms22,63,64. This method often uses high quality crystals and is therefore performed after a robust crystallization method has already been developed. Successfully obtaining a derivatized crystal using this method requires further optimization of soaking procedures and screening of different phasing compounds, therefore adding more time to an already laborious process.
Co-crystallization of the protein with the heavy atom can be performed at the screening stage, thus efficiently streamlining the process and reducing crystal manipulation steps that can cause damage. However, there still exists the potential scenario of obtaining few initial crystallization hits and the problem of choosing a compatible heavy atom compound. Many currently available phasing compounds are incompatible with precipitants, buffers and additives commonly found in crystallization conditions. They may be insoluble in sulphate and phosphate buffers, chelate to citrate and acetate, react unfavorably with HEPES and Tris buffers or become sequestered by DTT and &#946;-mercaptoethanol21. As the I3C phasing compound does not suffer from these incompatibilities, it is a robust phasing compound that could be amenable to many different conditions.
In this study, a streamlined method of producing derivatized crystals ready for SAD phasing through simultaneous co-crystallization of the I3C phasing compound and rMMS is presented. The combination of both techniques increases the number of crystallization hits, with many of the conditions having improved morphology and diffraction characteristics. In both Orf11 NTD and HEWL test cases, new conditions in the I3C-rMMS screen were identified that were absent when I3C was not present. Potentially, I3C may bind favorably to the protein, facilitating the formation and stabilization of crystal contacts27. In turn, this may induce crystallization and possibly improve diffraction characteristics. Besides being a compound compatible with sparse matrix screens, I3C is also an attractive phasing compound due to its intrinsic properties. The functional groups that alternate with iodine on the aromatic ring scaffold allow specific binding to proteins. This leads to greater occupancy and potentially reduces background signal23. Furthermore, the arrangement of anomalous scatterers in an equilateral triangle is obvious in the substructure and can be used to rapidly validate binding of I3C (Figure 4B and 4C). Finally, it can produce an anomalous signal with tunable synchrotron radiation as well as chromium and copper rotating anode X-ray sources. Thus, it can be applied to many different workflows. As I3C is widely available and inexpensive to purchase, this approach is within reach for most structural biology laboratories.
There are several experimental considerations that must be addressed when using the I3C-rMMS method. This method cannot be applied if initial crystalline material of the protein cannot be obtained. In difficult cases, crystalline material from a homologous protein can also be used to generate seed stock. This cross-seeding approach to rMMS has shown some promising results7. Optimizing crystal number through dilution of the seed stock is a crucial step, which should not be overlooked, to maximize the chance of producing high quality large crystals and acquiring suitable diffraction data. If there are few I3C sites identified in the asymmetric unit, conditions conducive to crystallization should be further optimized with an increased concentration of I3C. This may increase the occupancy of I3C to maximize the anomalous signal and aid crystal derivatization.
There can be cases where this technique may not be the optimal method to derivatize protein crystals. As the size of a protein or protein-complex increases, the limited number of I3C sites on the protein surface may not provide sufficient phasing power to solve the structure. In these scenarios where protein size is suspected to be impeding phasing, selenomethionine labelling of the protein may be a more viable approach to phasing the protein. If the protein has adequate numbers of methionine residues in the protein (recommended having at least one methionine per 100 residues65) and high efficiency selenomethionine incorporation into a protein can be achieved (such as in bacterial expression systems66), multiple high occupancy selenium atoms will be present in the crystals to phase the structure.
In addition, some proteins may inherently be unsuited for derivatization with I3C. I3C binding sites on proteins are dependent on protein structure. There may exist proteins that naturally have few exposed patches compatible with I3C binding. Thus, it is not unforeseeable that there may be difficulties in co-crystallizing some target proteins with I3C.

In the field of structural biology, X-ray crystallography is regarded as the gold standard technique to determine the atomic-resolution structures of macromolecules. It has been utilized extensively to understand the molecular basis of diseases, guide rational drug design projects and elucidate the catalytic mechanism of enzymes1,2. Although structural data provides a wealth of knowledge, the process of protein expression and purification, crystallization and structure determination can be extremely laborious. Several bottlenecks are commonly encountered that hinder the progress of these projects and this must be addressed to efficiently streamline the crystal structure determination pipeline.
Following recombinant expression and purification, preliminary conditions that are conducive to crystallization must be identified which is often an arduous and time-consuming aspect of X-ray crystallography. Commercial sparse matrix screens that consolidate known and published conditions have been developed to ease this bottleneck3,4. However, it is common to generate few hits from these initial screens despite using highly pure and concentrated protein samples. Observing clear drops indicates that the protein may not be reaching the levels of supersaturation required to nucleate a crystal. To encourage crystal nucleation and growth, seeds produced from pre-existing crystals can be added to the conditions and this allows for increased sampling of the crystallization space. Ireton and Stoddard first introduced the microseed matrix screening method5. Poor quality crystals were crushed to make a seed stock and then added systematically to crystallization conditions containing different salts to generate new diffraction-quality crystals that would not have otherwise formed. This technique was further improved by D&#39;Arcy et al. who developed random microseed matrix screening (rMMS) in which seeds were introduced into a spare matrix crystallization screen6,7. This improved the quality of crystals and increased the number of crystallization hits on average by a factor of 7.
After crystals are successfully produced and an X-ray diffraction pattern is obtained, another bottleneck in the form of solving the &#39;phase problem&#39; is encountered. During the data acquisition process, the intensity of diffraction (proportional to the square of the amplitude) is recorded but the phase information is lost, giving rise to the phase problem that halts immediate structure determination8. If the target protein shares high sequence identity to a protein with a previously determined structure, molecular replacement can be used to estimate the phase information9,10,11,12. Although this method is fast and inexpensive, model structures may not be available or suitable. The success of the homology model-based molecular replacement method drops significantly as sequence identity falls below 35%13. In the absence of a suitable homology model, ab initio methods, such as ARCIMBOLDO14,15 and AMPLE16, can be tested. These methods use computationally predicted models or fragments as starting points for molecular replacement. AMPLE, which uses predicted decoy&#160;models as starting points, struggles to solve structures of large (&#62;100 residues) proteins and proteins containing predominately &#946;-sheets. ARCIMBOLDO, which attempts to fit small fragments to extend into a larger structure, is limited to high resolution data (&#8804;2 &#197;) and by the ability of algorithms to expand the fragments into a full structure.
If molecular replacement methods fails, direct methods such as isomorphous replacement17,18 and anomalous scattering at a single wavelength (SAD19) or multiple wavelengths (MAD20) must be used. This is often the case for truly novel structures, where the crystal must be formed or derivatized with a heavy atom. This can be achieved by soaking or co-crystallizing with a heavy atom compound, chemical modification (such as 5-bromouracil incorporation in RNA) or labelled protein expression (such as incorporating selenomethionine or selenocysteine amino acids into the primary structure)21,22. This further complicates the crystallization process and requires additional screening and optimization.
A new class of phasing compounds, including I3C (5-amino-2,4,6-triiodoisophthalic acid) and B3C (5-amino-2,4,6-tribromoisophthalic acid), offer exciting advantages over pre-existing phasing compounds23,24,25. Both I3C and B3C feature an aromatic ring scaffold with an alternating arrangement of anomalous scatters required for direct phasing methods and amino or carboxylate functional groups that interact specifically with the protein and provide binding site specificity. The subsequent equilateral triangular arrangement of heavy metal groups allows for simplified validation of the phasing substructure. At the time of writing, there are 26 I3C-bound structures in the Protein Data Bank (PDB), of which 20 were solved using SAD phasing26.
This protocol improves the efficacy of the structure determination pipeline by combining the methods of heavy metal derivatization and rMMS screening to simultaneously increase the number of crystallization hits and simplify the crystal derivatization process. We demonstrated this method was extremely effective with hen egg white lysozyme and a domain of a novel lysin protein from bacteriophage P6827. Structure solution using the highly automated Auto-Rickshaw structure determination pipeline is described, specifically tailored for the I3C phasing compound. There exists other automated pipelines that can be used such as AutoSol28, ELVES29 and CRANK230. Non-fully automated packages such as SHELXC/D/E can also be used31,32,33. This method is particularly beneficial to researchers who are studying proteins lacking homologous models in the PDB, by significantly reducing the number of screening and optimization steps. A prerequisite for this method is protein crystals or a crystalline precipitate of the target protein, obtained from previous crystallization trials.

<table><tbody><tr><td>10 mL disposable luer lock syringes</td><td>Adelab Scientific</td><td>T3SS10LAT</td><td>Used for dispensing vacuum grease for hanging drop crystal tray wells</td></tr><tr><td>24 well tissue culture plate</td><td>Sigma Aldrich</td><td>CLS3527</td><td>Used for hanging drop crystal tray</td></tr><tr><td>3 inch wide Crystal Clear Sealing Tape</td><td>Hampton Research</td><td>HR4-506</td><td>For 96 well crystallization screens set up by robot</td></tr><tr><td>5-amino-2,4,6-triiodoisophthalic acid</td><td>Alfa Aesar</td><td>B22178</td><td>Commonly referred to as I3C in the article</td></tr><tr><td>Art Robbins Intelli-Plate 96-2 Original</td><td>Hampton Research</td><td>HR3-297</td><td>For 96 well crystallization screens set up by robot</td></tr><tr><td>Coverslips&amp;nbsp;</td><td>Thermo Fisher Scientific</td><td>18X18-2</td><td>Coverslips for hanging drop crystal tray wells</td></tr><tr><td>Dow Corning vacuum grease</td><td>Hampton Research</td><td>HR3-510</td><td>Used for sealing hanging drop crystal tray wells</td></tr><tr><td>Eppendorf Pipette 0.1 &amp;mu;L-2.5 &amp;mu;L</td><td>Eppendorf</td><td>3120000011</td><td></td></tr><tr><td>Gilson Pipette 2 &amp;mu;L-20 &amp;mu;L</td><td>John Morris Group</td><td>1153247</td><td></td></tr><tr><td>Gilson Pipette 20 &amp;mu;L-200 &amp;mu;L</td><td>John Morris Group</td><td>1152006</td><td></td></tr><tr><td>Glass pasteur pipettes</td><td>Adelab Scientific</td><td>HIR92601.01</td><td></td></tr><tr><td>Hen Egg White Lysozyme</td><td>Sigma-Aldrich</td><td>L6876</td><td>Approximately 95% pure</td></tr><tr><td>IndexHT screen</td><td>Hampton Research</td><td>HR2-134</td><td></td></tr><tr><td>Microscope illuminator</td><td>Meiji Techno</td><td>FT192/230</td><td>Light source to illuminate crystallography experiments</td></tr><tr><td>PEG/ION HT screen</td><td>Hampton Research</td><td>HR2-139</td><td></td></tr><tr><td>Phoenix Liquid Dispenser</td><td>Art Robbins Instruments</td><td>602-0001-10</td><td></td></tr><tr><td>Scalpel with scalpel blade no. 15</td><td>Adelab Scientific</td><td>LV-SMSCPO15</td><td></td></tr><tr><td>Seed bead kit</td><td>Hampton Research</td><td>HR2-320</td><td>Kit contains a glass probe for crushing crystals. A PTFE seed bead, designed for crushing crystals, is also part of the kit but not used in this protocol.</td></tr><tr><td>Stereo microscope&amp;nbsp;</td><td>Meiji Techno</td><td>EMZ-5TR</td><td>Microscope for visualising crystallography experiments</td></tr><tr><td>Tweezers</td><td>Sigma-Aldrich</td><td>T5415</td><td></td></tr><tr><td>Vortex mixer</td><td>Adelab Scientific</td><td>RAVM1</td><td></td></tr></tbody></table>

derivatization of protein crystals with i3c using random microseed matrix screening

Protein structure elucidation using X-ray crystallography requires both high quality diffracting crystals and computational solution of the diffraction phase problem. Novel structures that lack a suitable homology model are often derivatized with heavy atoms to provide experimental phase information. The presented protocol efficiently generates derivatized protein crystals by combining random microseeding matrix screening with derivatization with a heavy atom molecule I3C (5-amino-2,4,6-triiodoisophthalic acid). By incorporating I3C into the crystal lattice, the diffraction phase problem can be efficiently solved using single wavelength anomalous dispersion (SAD) phasing. The equilateral triangle arrangement of iodine atoms in I3C allows for rapid validation of a correct anomalous substructure. This protocol will be useful to structural biologists who solve macromolecular structures using crystallography-based techniques with interest in experimental phasing.

Incorporating I3C into rMMS can generate new conditions supporting derivatized crystal growth 
The efficacy of simultaneous rMMS screening and I3C derivatization was demonstrated in two proteins, hen egg white lysozyme (HEWL, obtained as a lyophilized powder) and the putative Orf11 lysin N-terminal domain (Orf11 NTD) from bacteriophage P68. Each protein was screened against PEG/ION HT under four different conditions including: unseeded, seeded, unseeded with I3C and seeded with I3C (Figure 1). For both proteins, the sole addition of I3C did not increase the number of conditions conducive to crystallization. In the case of Orf11 NTD, only one suitable condition was identified with and without I3C (Figure 1B). When I3C was added to the HEWL screens, the number of hits was reduced from 31 to 26, highlighting the added complexities of crystallisation when introducing phasing compounds (Figure 1A). Consistent with other studies, adding seed to commercial sparse matrix screens to generate an rMMS screen significantly increased the number of possible crystallization conditions for both proteins, resulting in a 2.1 and 6 fold increase for HEWL and Orf11 NTD, respectively6,61 (Figure 1). Most importantly, simultaneous addition of I3C and seed increased the number of hits relative to an unseeded screen, demonstrating a 2.3 and 7 fold increase for HEWL and Orf11 NTD, respectively. Many of the crystals from rMMS in the presence of I3C show excellent crystal morphology (Figure 2).
Seeding allows careful control of crystal number in I3C rMMS screens 
In microseeding experiments, the number of seeds introduced into a crystallization trial can be controlled by dilution of the seed stock and this allows for precise control of nucleation in the drop7,36. This often allows larger crystals to form since there is reduced competition of protein molecules at nucleation sites. This advantage also extends to the I3C-rMMS method and has been demonstrated successfully in both HEWL and Orf11 NTD. Recreation of a crystallization condition identified from the I3C-rMMS screen with a diluted seed stock yielded fewer but larger crystals (Figure 3).
SAD phasing can be used to solve the structures from crystals derived from rMMS I3C screen 
Crystals grown using the diluted seed stock shown in Figure 3 were used to solve the structure of the proteins using SAD phasing using diffraction data from a single crystal (Figure 4). Data was collected on the Australian Synchrotron MX1 beamline62. Detailed data collection and structure solution details are described elsewhere27.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/61894/61894fig01.jpg" /> 
Figure 1 - rMMS was used to generate new conditions for crystal growth in the presence of I3C for two test proteins. 96 well vapor diffusion crystallization screens were carried out using commercial sparse matrix screens. (A) Hen egg white lysozyme was tested with the Index HT screen. Trays were seeded with HEWL crystals grown in 0.2 M ammonium tartrate dibasic pH 7.0, 20% (w/v) polyethylene glycol 3350. (B) Orf11 NTD from bacteriophage P68 was tested with the PEG/ION screen. Orf11 NTD trays were seeded from crystals from condition G12 from the unseeded screen, shown in blue. Conditions supporting crystal growth are shown in red. rMMS seeding in the presence and absence of I3C both gave significantly more crystal hits than unseeded trays. Figure adapted from Truong et al.27. <a href="https://www.jove.com/files/ftp_upload/61894/61894fig01large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/61894/61894fig02.jpg" /> 
Figure 2 - Representative images of crystals grown from the vapor diffusion trials shown in Figure 1 (a) and (b). Figure adapted from Truong et al.27. <a href="https://www.jove.com/files/ftp_upload/61894/61894fig02large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/61894/61894fig03.jpg" /> 
Figure 3 - Dilution of the seed stock is an effective way to reduce nucleation in a crystallization condition found using the I3C-rMMS method, to control the number of crystals that form. Reducing nucleation within a drop often results in crystals growing to larger dimensions. Figure adapted from Truong et al.27. <a href="https://www.jove.com/files/ftp_upload/61894/61894fig03large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" class="xfigimg" src="/files/ftp_upload/61894/61894fig04.jpg" /> 
Figure 4 - Orf11 NTD (PDB ID 6O43) and HEWL (PDB ID 6PBB) were crystallized using the I3C-rMMS method and solved using Auto-Rickshaw SAD phasing. (A) Ribbon structures of HEWL and Orf11 NTD solved through experimental phasing. (B) I3C molecule bound to HEWL and Orf11 NTD. (C) Anomalous iodine atoms in I3C are arranged in an equilateral triangle of 6 &#197;. Thus the presence of this triangle in the phasing substructure indicates that there is an I3C molecule in that position.&#160;<a href="https://www.jove.com/files/ftp_upload/61894/61984fig04large.jpg" style="font-size: 14px;" target="_blank">Please click here to view a larger version of this figure.</a>

Watch this Scientific Journal Video about Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening at JoVE.com

Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening

This article presents a method to generate protein crystals derivatized with I3C (5-amino-2,4,6-triiodoisophthalic acid) using microseeding to generate new crystallization conditions in sparse matrix screens. The trays can be set up using liquid dispensing robots or by hand.

Protein structure elucidation using X-ray crystallography requires both high quality diffracting crystals and computational solution of the diffraction ...

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Research

JoVE Journal

Biochemistry

4.6K Views.  The University of Adelaide. This article presents a method to generate protein crystals derivatized with I3C (5-amino-2,4,6-triiodoisophthalic acid) using microseeding to generate new crystallization conditions in sparse matrix screens. The trays can be set up using liquid dispensing robots or by hand.

Video: Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening

Microcrystallography of Protein Crystals and In Cellulo Diffraction

The advent of high-quality microfocus beamlines at many synchrotron facilities has permitted the routine analysis of crystals smaller than 10 &#181;m in their largest dimension, which used to represent a challenge. We present two alternative workflows for the structure determination of protein microcrystals by X-ray crystallography with a particular focus on crystals grown in vivo. The microcrystals are either extracted from cells by sonication and purified by differential centrifugation, or analyzed in cellulo after cell sorting by flow cytometry of crystal-containing cells. Optionally, purified crystals or crystal-containing cells are soaked in heavy atom solutions for experimental phasing. These samples are then prepared for diffraction experiments in a similar way by application onto a micromesh support and flash cooling in liquid nitrogen. We briefly describe and compare serial diffraction experiments of isolated microcrystals and crystal-containing cells using a microfocus synchrotron beamline to produce datasets suitable for phasing, model building and refinement.
These workflows are exemplified with crystals of the Bombyx mori cypovirus 1 (BmCPV1) polyhedrin produced by infection of insect cells with a recombinant baculovirus. In this case study, in cellulo analysis is more efficient than analysis of purified crystals and yields a structure in ~8 days from expression to refinement.

Microcrystallography of Protein Crystals and In Cellulo Diffraction

A protocol is presented for X-ray crystallography using protein microcrystals. Two examples analyzing in vivo-grown microcrystals after purification or in cellulo are compared.

The advent of high-quality microfocus beamlines at many synchrotron facilities has permitted the routine analysis of crystals smaller than 10 &#181;m in ...

From Constructs to Crystals &#8211; Towards Structure Determination of &#946;-barrel Outer Membrane Proteins

Membrane proteins serve important functions in cells such as nutrient transport, motility, signaling, survival and virulence, yet constitute only ~1% percent of known structures. There are two types of membrane proteins, &#945;-helical and &#946;-barrel. While &#945;-helical membrane proteins can be found in nearly all cellular membranes, &#946;-barrel membrane proteins can only be found in the outer membranes of mitochondria, chloroplasts, and Gram-negative bacteria. One common bottleneck in structural studies of membrane proteins in general is getting enough pure sample for analysis. In hopes of assisting those interested in solving the structure of their favorite &#946;-barrel outer membrane protein (OMP), general protocols are presented for the production of target &#946;-barrel OMPs at levels useful for structure determination by either X-ray crystallography and/or NMR spectroscopy. Here, we outline construct design for both native expression and for expression into inclusion bodies, purification using an affinity tag, and crystallization using detergent screening, bicelle, and lipidic cubic phase techniques. These protocols have been tested and found to work for most OMPs from Gram-negative bacteria; however, there are some targets, particularly for mitochondria and chloroplasts that may require other methods for expression and purification. As such, the methods here should be applicable for most projects that involve OMPs from Gram-negative bacteria, yet the expression levels and amount of purified sample will vary depending on the target OMP.

&#946;-barrel outer membrane proteins (OMPs) serve many functions within the outer membranes of Gram-negative bacteria, mitochondria, and chloroplasts. Here, we hope to alleviate a known bottleneck in structural studies by presenting protocols for the production of &#946;-barrel OMPs in sufficient quantities for structure determination by X-ray crystallography or NMR spectroscopy.

Membrane proteins serve important functions in cells such as nutrient transport, motility, signaling, survival and virulence, yet constitute only ~1% ...

Chemistry

Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae

Determination of the full-length structure of ribosome assembly factor Nsa1 from Saccharomyces cerevisiae (S. cerevisiae) is challenging because of the disordered and protease labile C-terminus of the protein. This manuscript describes the methods to purify recombinant Nsa1 from S. cerevisiae for structural analysis by both X-ray crystallography and SAXS. X-ray crystallography was utilized to solve the structure of the well-ordered N-terminal WD40 domain of Nsa1, and then SAXS was used to resolve the structure of the C-terminus of Nsa1 in solution. Solution scattering data was collected from full-length Nsa1 in solution. The theoretical scattering amplitudes were calculated from the high-resolution crystal structure of the WD40 domain, and then a combination of rigid body and ab initio modeling revealed the C-terminus of Nsa1. Through this hybrid approach the quaternary structure of the entire protein was reconstructed. The methods presented here should be generally applicable for the hybrid structural determination of other proteins composed of a mix of structured and unstructured domains.

Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae

This method describes the cloning, expression, and purification of recombinant Nsa1 for structural determination by X-ray crystallography and small-angle X-ray scattering (SAXS), and is applicable for the hybrid structural analysis of other proteins containing both ordered and disordered domains.

Determination of the full-length structure of ribosome assembly factor Nsa1 from Saccharomyces cerevisiae (S. cerevisiae) is challenging because of the ...

Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques

Glycoproteins on the surface of cells play critical roles in cellular function, including signalling, adhesion and transport. On leukocytes, several of these glycoproteins possess immunoglobulin (Ig) folds and are central to immune recognition and regulation. Here, we present a platform for the design, expression and biophysical characterization of the extracellular domain of human B cell receptor CD22. We propose that these approaches are broadly applicable to the characterization of mammalian glycoprotein ectodomains containing Ig domains. Two suspension human embryonic kidney (HEK) cell lines, HEK293F and HEK293S, are used to express glycoproteins harbouring complex and high-mannose glycans, respectively. These recombinant glycoproteins with different glycoforms allow investigating the effect of glycan size and composition on ligand binding. We discuss protocols for studying the kinetics and thermodynamics of glycoprotein binding to biologically relevant ligands and therapeutic antibody candidates. Recombinant glycoproteins produced in HEK293S cells are amenable to crystallization due to glycan homogeneity, reduced flexibility and susceptibility to endoglycosidase H treatment. We present methods for soaking glycoprotein crystals with heavy atoms and small molecules for phase determination and analysis of ligand binding, respectively. The experimental protocols discussed here hold promise for the characterization of mammalian glycoproteins to give insight into their function and investigate the mechanism of action of therapeutics.

We present approaches for the biophysical and structural characterization of glycoproteins with the immunoglobulin fold by biolayer interferometry, isothermal titration calorimetry, and X-ray crystallography.

Glycoproteins on the surface of cells play critical roles in cellular function, including signalling, adhesion and transport. On leukocytes, several of ...

High-Throughput Protein Crystallization via Microdialysis

Understanding the structure-function relationships of macromolecules, such as proteins, at the molecular level is vital for biomedicine and modern drug discovery. To date, X-ray crystallography remains the most successful method for solving three-dimensional protein structures at atomic resolution. With recent advances in serial crystallography, either using X-ray free electron lasers (XFELs) or synchrotron light sources, protein crystallography has progressed to the next frontier, where the ability to acquire time-resolved data provides important mechanistic insights into the behavior of biological molecules at room temperature. This protocol describes a straightforward high-throughput (HTP) workflow for screening crystallization conditions through the use of a 96-well dialysis plate. These plates follow the Society for Biomolecular Screening (SBS) standard and can be easily set up using any standard crystallization laboratory. Once optimal conditions are identified, large quantities of crystals (hundreds of microcrystals) can be produced using the dialyzer. To validate the robustness and versatility of this approach, four different proteins were crystallized, including two membrane proteins.

High-Throughput Protein Crystallization via Microdialysis

The presented protocol describes a straightforward approach for screening protein crystallization conditions and crystal growth using a 96-well high-throughput dialysis plate. The use of dialyzer tubes for the large-scale growth of microcrystals is also demonstrated for serial crystallography and MicroED applications.

Understanding the structure-function relationships of macromolecules, such as proteins, at the molecular level is vital for biomedicine and modern drug ...

High-Throughput Screening for Protein Crystallization

High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography

X-ray crystallography is the most commonly employed technique to discern macromolecular structures, but the crucial step of crystallizing a protein into an ordered lattice amenable to diffraction remains challenging. The crystallization of biomolecules is largely experimentally defined, and this process can be labor-intensive and prohibitive to researchers at resource-limited institutions. At the National High-Throughput Crystallization (HTX) Center, highly reproducible methods have been implemented to facilitate crystal growth, including an automated high-throughput 1,536-well microbatch-under-oil plate setup designed to sample a wide breadth of crystallization parameters. Plates are monitored using state-of-the-art imaging modalities over the course of 6 weeks to provide insight into crystal growth, as well as to accurately distinguish valuable crystal hits. Furthermore, the implementation of a trained artificial intelligence scoring algorithm for identifying crystal hits, coupled with an open-source, user-friendly interface for viewing experimental images, streamlines the process of analyzing crystal growth images. Here, the key procedures and instrumentation are described for the preparation of the cocktails and crystallization plates, imaging the plates, and identifying hits in a way that ensures reproducibility and increases the likelihood of successful crystallization.

Author Spotlight: High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography  

This protocol details high-throughput crystallization screening, ranging from the 1,536 microassay plate preparation to the end of a 6 week experimental time window. Details are included about the sample setup, the imaging obtained, and how users can perform analyses using an artificial intelligence-enabled graphical user interface to quickly and efficiently identify macromolecular crystallization conditions.

X-ray crystallography is the most commonly employed technique to discern macromolecular structures, but the crucial step of crystallizing a protein into ...

Protein Crystallization for X-ray Crystallography

Using the three-dimensional structure of biological macromolecules to infer how they function is one of the most important fields of modern biology. The availability of atomic resolution structures provides a deep and unique understanding of protein function, and helps to unravel the inner workings of the living cell. To date, 86% of the Protein Data Bank (rcsb-PDB) entries are macromolecular structures that were determined using X-ray crystallography.
To obtain crystals suitable for crystallographic studies, the macromolecule (e.g. protein, nucleic acid, protein-protein complex or protein-nucleic acid complex) must be purified to homogeneity, or as close as possible to homogeneity. The homogeneity of the preparation is a key factor in obtaining crystals that diffract to high resolution (Bergfors, 1999; McPherson, 1999).
Crystallization requires bringing the macromolecule to supersaturation. The sample should therefore be concentrated to the highest possible concentration without causing aggregation or precipitation of the macromolecule (usually 2-50 mg/ mL). Introducing the sample to precipitating agent can promote the nucleation of protein crystals in the solution, which can result in large three-dimensional crystals growing from the solution. There are two main techniques to obtain crystals: vapor diffusion and batch crystallization. In vapor diffusion, a drop containing a mixture of precipitant and protein solutions is sealed in a chamber with pure precipitant. Water vapor then diffuses out of the drop until the osmolarity of the drop and the precipitant are equal (Figure 1A). The dehydration of the drop causes a slow concentration of both protein and precipitant until equilibrium is achieved, ideally in the crystal nucleation zone of the phase diagram. The batch method relies on bringing the protein directly into the nucleation zone by mixing protein with the appropriate amount of precipitant (Figure 1B). This method is usually performed under a paraffin/mineral oil mixture to prevent the diffusion of water out of the drop.
Here we will demonstrate two kinds of experimental setup for vapor diffusion, hanging drop and sitting drop, in addition to batch crystallization under oil.

The 3-D structure of a molecule provides a unique understanding of how the molecule functions. The principal method for structure determination at near-atomic resolution is X-ray crystallography. Here, we demonstrate the current methods for obtaining three-dimensional crystals of any given macromolecule that are suitable for structure determination by X-ray crystallography.

Using the three-dimensional structure of biological macromolecules to infer how they function is one of the most important fields of modern biology. The ...

Biology

Crystallization of ABC Transporter Membrane Proteins in Lipidic Bicelles

ABCG5/G8 Crystallization in a Lipidic Bicelle Environment for X-Ray Crystallography

ATP-binding cassette (ABC) transporters constitute lipid-embedded membrane proteins. Extracting these membrane proteins from the lipid bilayer to an aqueous environment is typically achieved by employing detergents. These detergents disintegrate the lipid bilayer and solubilize the proteins. The intrinsic habitat of membrane proteins within the lipid bilayer poses a challenge in maintaining their stability and uniformity in solution for structural characterization. Bicelles, which comprise a blend of long and short-chain phospholipids and detergents, replicate the natural lipid structure. The utilization of lipid bicelles and detergents serves as a suitable model system for obtaining high-quality diffraction crystals, specifically to determine the high-resolution structure of membrane proteins. Through these synthetic microenvironments, membrane proteins preserve their native conformation and functionality, facilitating the formation of three-dimensional crystals. In this approach, the detergent-solubilized heterodimeric ABCG5/G8 was reintegrated into DMPC/CHAPSO bicelles, supplemented with cholesterol. This setup was employed in the vapor diffusion experimental procedure for protein crystallization.

Author Spotlight: A Bicelle Crystallization Setup for ABC Transporter Membrane Proteins to Advance Drug Development 

This protocol describes a setup for the crystallization of the sterol transporter ABCG5/G8. ABCG5/G8 is reconstituted into bicelles for hanging-drop crystallization. The protocol does not require specialized materials or substrates, making it accessible and easy to adapt in any laboratory for determining the protein structure through X-ray crystallography.

ATP-binding cassette (ABC) transporters constitute lipid-embedded membrane proteins. Extracting these membrane proteins from the lipid bilayer to an ...

Crystallization of Membrane Proteins in Lipidic Mesophases

Membrane proteins perform critical functions in living cells related to signal transduction, transport and energy transformations, and, as such, are implicated in a multitude of malfunctions and diseases. However, a structural and functional understanding of membrane proteins is strongly lagging behind that of their soluble partners, mainly, due to difficulties associated with their solubilization and generation of diffraction quality crystals. Crystallization in lipidic mesophases (also known as in meso or LCP crystallization) is a promising technique which was successfully applied to obtain high resolution structures of microbial rhodopsins, photosynthetic proteins, outer membrane beta barrels and G protein-coupled receptors. In meso crystallization takes advantage of a native-like membrane environment and typically produces crystals with lower solvent content and better ordering as compared to traditional crystallization from detergent solutions. The method is not difficult, but requires an understanding of lipid phase behavior and practice in handling viscous mesophase materials. Here we demonstrate a simple and efficient way of making LCP and reconstituting a membrane protein in the lipid bilayer of LCP using a syringe mixer, followed by dispensing nanoliter portions of LCP into an assay or crystallization plate, conducting pre-crystallization assays and harvesting crystals from the LCP matrix. These protocols provide a basic guide for approaching in meso crystallization trials; however, as with any crystallization experiment, extensive screening and optimization are required, and a successful outcome is not necessarily guaranteed.

The protocols describe the essential steps for obtaining diffraction quality crystals of a membrane protein starting from reconstitution of the protein in a lipidic cubic phase (LCP), finding initial conditions with LCP-FRAP pre-crystallization assays, setting up LCP crystallization trials and harvesting crystals.

Membrane proteins perform critical functions in living cells related to signal transduction, transport and energy transformations, and, as such, are ...

High-throughput Crystallization of Membrane Proteins Using the Lipidic Bicelle Method

Membrane proteins (MPs) play a critical role in many physiological processes such as pumping specific molecules across the otherwise impermeable membrane bilayer that surrounds all cells and organelles. Alterations in the function of MPs result in many human diseases and disorders; thus, an intricate understanding of their structures remains a critical objective for biological research. However, structure determination of MPs remains a significant challenge often stemming from their hydrophobicity. 
MPs have substantial hydrophobic regions embedded within the bilayer. Detergents are frequently used to solubilize these proteins from the bilayer generating a protein-detergent micelle that can then be manipulated in a similar manner as soluble proteins. Traditionally, crystallization trials proceed using a protein-detergent mixture, but they often resist crystallization or produce crystals of poor quality. These problems arise due to the detergent&prime;s inability to adequately mimic the bilayer resulting in poor stability and heterogeneity. In addition, the detergent shields the hydrophobic surface of the MP reducing the surface area available for crystal contacts. To circumvent these drawbacks MPs can be crystallized in lipidic media, which more closely simulates their endogenous environment, and has recently become a de novo technique for MP crystallization.
Lipidic cubic phase (LCP) is a three-dimensional lipid bilayer penetrated by an interconnected system of aqueous channels1. Although monoolein is the lipid of choice, related lipids such as monopalmitolein and monovaccenin have also been used to make LCP2. MPs are incorporated into the LCP where they diffuse in three dimensions and feed crystal nuclei. A great advantage of the LCP is that the protein remains in a more native environment, but the method has a number of technical disadvantages including high viscosity (requiring specialized apparatuses) and difficulties in crystal visualization and manipulation3,4. Because of these technical difficulties, we utilized another lipidic medium for crystallization-bicelles5,6 (Figure 1). Bicelles are lipid/amphiphile mixtures formed by blending a phosphatidylcholine lipid (DMPC) with an amphiphile (CHAPSO) or a short-chain lipid (DHPC). Within each bicelle disc, the lipid molecules generate a bilayer while the amphiphile molecules line the apolar edges providing beneficial properties of both bilayers and detergents. Importantly, below their transition temperature, protein-bicelle mixtures have a reduced viscosity and are manipulated in a similar manner as detergent-solubilized MPs, making bicelles compatible with crystallization robots. 
Bicelles have been successfully used to crystallize several membrane proteins5,7-11 (Table 1). This growing collection of proteins demonstrates the versatility of bicelles for crystallizing both alpha helical and beta sheet MPs from prokaryotic and eukaryotic sources. Because of these successes and the simplicity of high-throughput implementation, bicelles should be part of every membrane protein crystallographer&prime;s arsenal. In this video, we describe the bicelle methodology and provide a step-by-step protocol for setting up high-throughput crystallization trials of purified MPs using standard robotics.

Bicelles are lipid/amphiphile mixtures that maintain membrane proteins (MPs) within a lipid bilayer but have unique phase behavior that facilitates high-throughput screening by crystallization robots. This technique has successfully produced a number of high-resolution structures from both prokaryotic and eukaryotic sources. This video describes protocols for generating the lipidic bicelle mixture, incorporating MPs into the bicelle mixture, setting up crystallizations trials (manually as well as robotically) and harvesting crystals from the medium.

Membrane proteins (MPs) play a critical role in many physiological processes such as pumping specific molecules across the otherwise impermeable membrane ...

Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening

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Microcrystallography of Protein Crystals and In Cellulo Diffraction

From Constructs to Crystals – Towards Structure Determination of β-barrel Outer Membrane Proteins

Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae

Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques

High-Throughput Protein Crystallization via Microdialysis

High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography

Protein Crystallization for X-ray Crystallography

ABCG5/G8 Crystallization in a Lipidic Bicelle Environment for X-Ray Crystallography

Crystallization of Membrane Proteins in Lipidic Mesophases

High-throughput Crystallization of Membrane Proteins Using the Lipidic Bicelle Method