This work was supported by a grant from the NIH. The assays shown in Figure 1 was performed by Dr. Joseph Fasolo. We thank Dr. Rui Chen for helpful comments.

1. Probe Preparation
<ol>
	<li>Culture and purify the V5-fusion kinase probes used to examine interactions with other proteins as follows:
	<ol>
		<li>Use freshly streaked yeast strain Y258 (MATa pep4-3, his4-580, ura3-53, leu2-3,112) containing V5-fusion protein (expressed from GATEWAY vector pYES-DEST52). Use the isolated protein as probe on the microarrays. Plate the yeast on synthetic complete-uracil (Sc-Ura)/2% Dextrose/Agar and grow at 30&#160;&#176;C&#160;for 3 days from frozen culture (-80 &#176;C glycerol stock).</li>
		<li>Inoculate starter cultures (5&#8211;20 ml) from a single colony and grow overnight in Sc-Ura/2% Dextrose on shaking platform (220-250 rpm) or wheel at 30&#160;&#176;C.</li>
		<li>The following morning, inoculate 400 ml&#160;of the Sc-Ura/2% raffinose culture with sufficient starter culture to a final OD600 of 0.1.</li>
		<li>Grow the inoculums to OD600 of 0.6 followed by galactose induction of the V5-kinase fusion construct expression by adding a solution of 3x&#160;Yeast Extract/Peptone (YEP) supplemented with 6% Galactose, by adding enough to dilute the induction media by a factor of 3 so that final concentration of galactose is 2%.</li>
		<li>Induce cells at 30 &#176;C for 6 hr&#160;on a shaking platform. Use a 2 L&#160;Erlenmeyer flask to ensure appropriate aeration.</li>
		<li>Harvest cells using a JA-10 (or comparable) rotor by spinning 400 ml&#160;of cell suspension at 1,000 x g for 5 min at 4 &#176;C.</li>
		<li>Wash the cells once with 50 ml&#160;of ice cold PBS buffer&#160;and transfer to a 50 ml&#160;conical tube. Wash the pellet again in ice cold PBS buffer (without detergents or other additives) used for lysis and transfer to 2 ml&#160;snap-cap tubes for lysis.</li>
		<li>Spin the cells at 20,000 x g for 1 min at 4 &#176;C to a pellet and pipette away the buffer.</li>
		<li>Place tubes on ice and proceed with lysis step.</li>
		<li>Lyse the cells (250-350 &#181;l pellet) with 0.5 mm zirconia beads in a 1:1:1 volume of cell pellet, beads, and Phosphate-buffered saline ( PBS) lysis buffer and vortex the mixture using a agitation platform 3 times at 2 min intervals at 4 &#176;C.</li>
		<li>Centrifuge the lysate at 20,000 x g in a tabletop microfuge for 10 min at 4 &#176;C.</li>
		<li>Pipette supernatant into polycarbonate high speed centrifuge tube and clarify by ulracentrufugation for 30 min at 150,000 x g at 4 &#176;C.</li>
		<li>Transfer the clarified lysate to a tube containing prewashed Ni2+ affinity resin (~100 &#181;l) and incubate on a nutator for 2 hr&#160;at 4 &#176;C to capture Histidine(His)6X tagged V5-fusion protein.</li>
		<li>Wash the resin three times for 10 min&#160;at 4 &#176;C with Wash Buffer. Pellet the resin using a table top centrifuge for 5 min at 1,000 x g at 4 &#176;C and aspirate the supernatant. Add fresh wash buffer for each wash and return the tube the nutator for agitation during the wash.</li>
		<li>After the wash steps are complete, apply the washed resin to a fresh G-25 column for elution.</li>
		<li>Apply 25 &#181;l of elution buffer in a step-wise manner beginning with 100 mM Imidazole to 500 mM imidazole in 50 mM increments for a total of 9 fractions.</li>
		<li>Assay the collected fractions using sodium dodecyl sulfate polyacrylamide gel (SDS-PAGE) and coomassie staining to identify the most highly enriched fraction(s) for use in the assay and add glycerol to 30% and store at -80&#160;&#176;C&#160;until used in the assay.</li>
	</ol>
	</li>
</ol>
2. Probing the Arrays
NOTE: Please see step 2.6 of this section to prepare the antibody solution before beginning the assay.
<ol>
	<li>To detect interactions, dilute the V5-fluorophore conjugated antibody (i.e. AlexaFluor 647 ) to 260 ng/ml&#160;in probe buffer and mix thoroughly by shaking. 
	NOTE: Prepare this antibody solution 30 min&#160;prior to use and place the tube on a nutator or wheel to ensure complete mixing and a homogenous suspension of antibody.</li>
	<li>Dilute the V5-fusion protein probe over a concentration range of 5&#8211;500 &#956;g/ml. 
	NOTE: Optimized for each protein&#8211;protein interaction assay, using probe buffer. Optimization involves adding more probes to probe buffer. Typically 10 &#181;g/ml is used as starting point and adjusted accordingly based on the signal strength.</li>
	<li>Remove the protein microarrays from the freezer (&#8722;20 &#176;C) and bring to 4 &#176;C in the refrigerator just prior to use.</li>
	<li>Add blocking buffer directly to the slide holder containing the protein micorarrays and cover the top with parafilm to prevent leakage. Block the arrays in blocking buffer for 1 hr&#160;by shaking at 50 rpm on a stage at 4 &#176;C.</li>
	<li>After blocking, transfer the arrays to a humidified chamber chilled to 4&#160;&#176;C, and add 90 &#956;l&#160;of diluted probe directly to the array surface. Overlay the arrays with a raised lifter slip and incubate static (no shaking) in the humidified chamber at 4&#160;&#176;C&#160;for 1.5 hr.</li>
	<li>Wash the arrays 3 times for 1 min each in probe buffer in three 50 ml&#160;conical tubes. Add the slide to conical tubes containing enough pre-chilled probe buffer to completely envelope the slide. Allow the lifter slip to gently slide off of the protein microarray (do not force it off as this could result in damage to the array surface).</li>
	<li>Apply the antibody solution directly to array immediately after completing the wash (step 2.5) and overlay with a raised lifter slip as before. Incubate the arrays for 30 min at 4 &#176;C in the humidified chamber.</li>
	<li>Perform the same wash step as before (3 times 1 min in probe buffer), and spin in a 50 ml&#160;conical tube at 800 x g in a tabletop centrifuge for 5 min at room temperature. Air-dry the arrays in a slide holder in the dark for 30 min prior to scanning the array at 647 nm.</li>
</ol>

<ol>
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C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Functional+organization+of+the+yeast+proteome+by+systematic+analysis+of+protein+complexes.">Functional organization of the yeast proteome by systematic analysis of protein complexes.</a> Nature. 415, 141-147 (2002).</li><li>Jeong, J. S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rapid+identification+of+monospecific+monoclonal+antibodies+using+a+human+proteome+microarray.">Rapid identification of monospecific monoclonal antibodies using a human proteome microarray.</a> Mol Cell Proteomics. 11 (6), (2012).</li><li>Krogan, N. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Global+landscape+of+protein+complexes+in+the+yeast+Saccharomyces+cerevisiae.">Global landscape of protein complexes in the yeast Saccharomyces cerevisiae.</a> Nature. 440, 637-643 (2006).</li><li>Popescu, S. C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Differential+binding+of+calmodulin-related+proteins+to+their+targets+revealed+through+high-density+Arabidopsis+protein+microarrays.">Differential binding of calmodulin-related proteins to their targets revealed through high-density Arabidopsis protein microarrays.</a> Proceedings of the National Academy of Sciences of the United States of America. 104, 4730-4735 (2007).</li><li>Zhu, H., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Global+analysis+of+protein+activities+using+proteome+chips.">Global analysis of protein activities using proteome chips.</a> Science. 293, 2101-2105 (2001).</li><li>Ptacek, J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Global+analysis+of+protein+phosphorylation+in+yeast.">Global analysis of protein phosphorylation in yeast.</a> Nature. 438, 679-684 (2005).</li><li>Haab, B. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Antibody+arrays+in+cancer+research.+Molecular+&amp;+cellular+proteomics.">Antibody arrays in cancer research. Molecular &amp; cellular proteomics.</a> Mol Cell Proteomics. 4 (4), 377-383 (2005).</li><li>Kopf, E., Zharhary, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Antibody+arrays--an+emerging+tool+in+cancer+proteomics.">Antibody arrays--an emerging tool in cancer proteomics.</a> The international journal of biochemistry &amp; cell biology. 39, 1305-1317 (2007).</li><li>Berrade, L., Garcia, A. E., Camarero, J. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Protein+microarrays:+novel+developments+and+applications.">Protein microarrays: novel developments and applications.</a> Pharmaceutical research. 28, 1480-1499 (2011).</li><li>Balboni, I., Limb, C., Tenenbaum, J. D., Utz, P. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Evaluation+of+microarray+surfaces+and+arraying+parameters+for+autoantibody+profiling.">Evaluation of microarray surfaces and arraying parameters for autoantibody profiling.</a> Proteomics. 8, 3443-3449 (2008).</li><li>Gelperin, D. 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The authors declare that they have no competing financial interests.

The protocol presented was originally performed using 85 unique yeast protein kinase-V5 fusion proteins to compare binding activity across distinct and related families of yeast protein kinases resulting in the identification of new kinase interaction networks in vivo1. As an emerging proteomic profiling technology, the development of High Throughput (HTP) screening of proteomes using protein microarrays relied on peptide libraries, and eukaryotic and prokaryotic model organisms8,17; later,...

The need to perform global analyses of protein biochemistry and binding activity in vivo has resulted in the development of new methods for profiling protein-protein interactions (PPIs) and the post-translational modifications of whole proteomes1,3-8. Protein microarrays are manufactured as functional protein microarrays using full-length functional proteins4-6,8,9, or analytical protein microarrays containing antibodies10,11. They are engineered to contain a high-density of proteins arrayed onto microscope slides with a variety of surface chemistries to facilitate a variety of experimental conditions required for conducting wide-ranging biochemical analyses12. Nitrocellulose and aldehyde surface chemistries for chemical attachment through lysine or affinity attachment methods such as nickel- chelated slides for attaching His-tagged proteins and glutathione for affinity attachment among others13.
The use of functional protein microarrays to detect protein-protein interactions requires access to a high-quality functional protein library14. S. cerevisiae is amenable to producing such a library through the pairing of high-copy affinity tagged protein constructs with high-throughput chromatographic purification techniques. The vast majority of the yeast genome has been sequenced and nearly the entire proteome can be expressed from a high-copy plasmid for purification and biochemical analyses12. Once the proteins are obtained and arrayed in 384-well format, they are printed onto a microscope slide allowing for rapid parallel multi-parametric biochemical analysis and bioinformatic interrogation8,14-16. Protein microarrays have been used for enzymatic assays and interactions with proteins, lipids, small molecules, and nucleic acids among many other applications. The accessibility of proteins on the surface of proteome arrays make them amenable to different types of analytical detection including, immune-affinity, Surface Plasmon Resonance, fluorescence and many other techniques. Moreover, it allows for fine control of the experimental condition where it might be hard to do in vivo.
The aim of this protocol is to demonstrate the appropriate use of functional protein microarrays to detect protein-protein interactions. This application enables the high-throughput parallel biochemical analysis of protein binding activities using a highly purified analyte (protein) of interest. A C-terminal(carboxy-terminal) tagged V5-fusion bait protein of interest is produced from a high-copy plasmid in a yeast strain optimized for protein purification. C-terminal tagging ensures that the full-length protein has been translated. The protein used in this study is Tda1-V5 fusion protein kinase, which is purified using nickel affinity resin via a His6X tag. The Tda1-V5 fusion construct is purified through serial elution using an imidazole gradient to elute the most highly enriched fraction for use in the assay.

<table><tbody><tr><td>Petri Dishes</td><td>VWR</td><td>NC-10747</td><td>or comparable</td></tr><tr><td>Bacto yeast extract</td><td>Difco</td><td>0217-17</td><td></td></tr><tr><td>Bacto peptone</td><td>Difco</td><td>0118-17</td><td></td></tr><tr><td>Bacto agar</td><td>Difco</td><td>0140-01</td><td></td></tr><tr><td>Dextrose</td><td>Sigma</td><td>D9434</td><td></td></tr><tr><td>Raffinose</td><td>Sigma</td><td>R0514</td><td></td></tr><tr><td>Galactose</td><td>Sigma</td><td>G0750</td><td></td></tr><tr><td>Sc-Ura drop out media</td><td>MP Bio</td><td>114410622</td><td></td></tr><tr><td>Small Culture tubes</td><td>VWR/Fisher</td><td></td><td></td></tr><tr><td>Large Erlenmeyer Flask</td><td>VWR/Fisher</td><td></td><td></td></tr><tr><td>Centrifuge JA-10 rotor</td><td></td><td></td><td></td></tr><tr><td>Centrifuge tubes (500 ml)</td><td></td><td></td><td></td></tr><tr><td>Falcon tube (50 ml)</td><td>VWR/Fisher</td><td>21008-951</td><td></td></tr><tr><td>PBS Tablets</td><td>Sigma</td><td>P4417</td><td></td></tr><tr><td>FastPrep Tubes (2 ml screw cap tube)</td><td></td><td></td><td></td></tr><tr><td>FastPrep Machine</td><td>MP Biomedicals</td><td>116004500</td><td></td></tr><tr><td>Zircon Beads</td><td>BioSpec</td><td>11079105</td><td></td></tr><tr><td>Triton X100</td><td>Sigma</td><td>P4417</td><td></td></tr><tr><td>DTT</td><td>Sigma</td><td>D9779</td><td></td></tr><tr><td>MgCl&lt;sub&gt;2&lt;/sub&gt;</td><td>Sigma</td><td>M8266&amp;nbsp;</td><td></td></tr><tr><td>NaCl</td><td>Sigma</td><td>S3014&amp;nbsp;</td><td></td></tr><tr><td>Imidazole (pH = 7.4)</td><td>Sigma</td><td>I5513&amp;nbsp;</td><td></td></tr><tr><td>PMSF</td><td>Sigma</td><td>93482</td><td></td></tr><tr><td>Complete Inhibitor Cocktail (EDTA Free)</td><td>Roche</td><td>11873580001</td><td></td></tr><tr><td>Phosphatase inhibitor cocktail 1</td><td>sigma</td><td>P2850</td><td></td></tr><tr><td>BSA</td><td>Sigma</td><td>A2153&amp;nbsp;</td><td></td></tr><tr><td>Tween-20</td><td>Sigma</td><td>P1379&amp;nbsp;</td><td></td></tr><tr><td>ATP</td><td>Sigma</td><td>A1852&amp;nbsp;</td><td></td></tr><tr><td>Shaking Incubator (30 &amp;deg;C)</td><td></td><td></td><td></td></tr><tr><td>Nickel Affinity Resin</td><td>Life Technologies</td><td>R901-01</td><td></td></tr><tr><td>G25 column</td><td>GE life sciences</td><td>27-5325-01&amp;nbsp;</td><td></td></tr><tr><td>Nutator</td><td>VWR/Fisher</td><td></td><td></td></tr><tr><td>SDS-PAGE Gel (NuPage)</td><td>Life Technologies</td><td></td><td></td></tr><tr><td>Coomassie Blue Stain</td><td>Life Technologies</td><td></td><td></td></tr><tr><td>Monoclonal V5 Antibody</td><td>Life Technologies</td><td>R960-25</td><td></td></tr><tr><td>Alexa647 Tagged monoclonal V5 Antibody</td><td>Life Technologies</td><td>451098</td><td></td></tr><tr><td>Protein Microarrays Kit</td><td>Life Technologies</td><td>PAH0525013</td><td></td></tr><tr><td>Genepix Scanner</td><td>Molecular Devices</td><td></td><td></td></tr><tr><td>Lifter Slips</td><td>Thomas Scientific</td><td></td><td>http://www.thomassci.com/Supplies/Microscope-Cover-Glass/_/LIFTER-SLIPS/</td></tr><tr><td>Lysis Buffer: 0.1% Triton X-100, 0.5 mM DTT,&lt;br/&gt; 2 mM MgCl&lt;sub&gt;2&lt;/sub&gt;, 500 mM NaCl, 50 mM imidazole (pH 7.4), Complete protease inhibitor cocktail &amp;ndash; EDTA-free, Phosphatase inhibitor Cocktail 1, 1 mM PMSF&amp;nbsp; (add just prior to use)</td><td></td><td></td><td>Add the reagents to 1x PBS (0.01 M phosphate buffer, 0.0027 M potassium chloride, 0.137 M sodium chloride; pH 7.4) to obtain the desired volume of lysis solution</td></tr><tr><td>Blocking Buffer: 1% bovine serum albumin (BSA), 0.1% Tween-20</td><td></td><td></td><td>Add the reagents to 1x PBS to obtain the desired volume of blocking buffer</td></tr><tr><td>Probe Buffer: 2 mM MgCl&lt;sub&gt;2&lt;/sub&gt;, 0.5 mM DTT, 0.05% Triton X-100, 50 mM NaCl, 500 &amp;mu;M ATP (for kinases), 1% BSA</td><td></td><td></td><td>Add the reagent to 1x PBS to obtain desired volume of probe buffer</td></tr><tr><td>Wash Buffer: 0.1% Triton X-100, 500 mM NaCl, 0.5 mM DTT, 50 mM imidazole (pH 7.4),2 mM MgCl&lt;sub&gt;2&lt;/sub&gt;</td><td></td><td></td><td>Add the reagent to 1x PBS to obtain desired volume of probe buffer</td></tr><tr><td>Elution Buffer: 0.1% Triton X-100, 0.5 mM DTT, 2 mM MgCl&lt;sub&gt;2&lt;/sub&gt;, 500 mM NaCl, 50 &amp;ndash; 500 mM imidazole (pH 7.4), Complete protease inhibitor cocktail &amp;ndash; EDTA-free, Phosphatase inhibitor Cocktail 1, 1 mM PMSF (add just prior to use)</td><td></td><td></td><td>Before you begin, it is important to note the concentration gradient of imidazole (50 &amp;ndash; 500 mM) and to create separate tubes for each concentration (it is advisable to create the interval using 50 mM increments). Add the reagent to 1x PBS to obtain desired volume of probe buffer</td></tr><tr><td>3x YEP +6% galactose: Dissolve 30 g of yeast extract and&amp;nbsp; 60 g of peptone in 700 ml of H2O, and autoclave. Add 300 ml of filter sterilized 20% galactose (wt/vol)</td><td></td><td></td><td>&amp;nbsp;Galactose should not be autoclaved</td></tr></tbody></table>

probing high-density functional protein microarrays to detect protein-protein interactions

High-density functional protein microarrays containing ~4,200 recombinant yeast proteins are examined for kinase protein-protein interactions using an affinity purified yeast kinase fusion protein containing a V5-epitope tag for read-out. Purified kinase is obtained through culture of a yeast strain optimized for high copy protein production harboring a plasmid containing a Kinase-V5 fusion construct under a GAL inducible promoter. The yeast is grown in restrictive media with a neutral carbon source for 6 hr followed by induction with 2% galactose. Next, the culture is harvested and kinase is purified using standard affinity chromatographic techniques to obtain a highly purified protein kinase for use in the assay. The purified kinase is diluted with kinase buffer to an appropriate range for the assay and the protein microarrays are blocked prior to hybridization with the protein microarray. After the hybridization, the arrays are probed with monoclonal V5 antibody to identify proteins bound by the kinase-V5 protein. Finally, the arrays are scanned using a standard microarray scanner, and data is extracted for downstream informatics analysis1,2 to determine a high confidence set of protein interactions for downstream validation in vivo.

The protein-protein interaction activity was observed using a standard chip reader to evaluate the Tda1-V5 protein kinase fusion construct as a bait protein against a yeast functional protein microarray containing approximately 4,200 unique S. cerevisiae GST-fusion proteins. Further interrogation with the Genepix software revealed a multitude of binding events of varying intensities. The affinity was gauged from the graded intensity of the signal derived from a monoclonal V5-Fluorophore conjugated antibody bound...

Watch this Scientific Journal Video about Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions at JoVE.com

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Using protein microarrays containing nearly the entire S. cerevisiae proteome is probed for rapid unbiased interrogation of thousands of protein-protein interactions in parallel. This method can be utilized for protein-small molecule, posttranslational modification, and other assays in high-throughput.

High-density functional protein microarrays containing ~4,200 recombinant yeast proteins are examined for kinase protein-protein interactions using an ...

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Biology

8.0K Views.  Stanford University.  Met behulp van eiwit microarrays met bijna het hele S. cerevisiae proteoom wordt gesondeerd voor snelle onpartijdige ondervraging van duizenden proteïne-proteïne interacties in parallel. Deze werkwijze kan worden gebruikt voor eiwit-kleine molecule, posttranslationele modificatie, en andere assays high-throughput. 

Video: Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Most proteins act in association with others; hence, it is crucial to characterize these functional units in order to fully understand biological processes. Affinity purification coupled to mass spectrometry (AP-MS) has become the method of choice for identifying protein-protein interactions. However, conventional AP-MS studies provide information on protein interactions, but the organizational information is lost. To address this issue, we developed a strategy to unravel the distinct functional assemblies a protein might be involved in, by resolving affinity-purified protein complexes prior to their characterization by mass spectrometry. Protein complexes isolated through affinity purification of a bait protein using an epitope tag and competitive elution are separated through blue native electrophoresis. Comparison of protein migration profiles through correlation profiling using quantitative mass spectrometry allows assignment of interacting proteins to distinct molecular entities. This method is able to resolve protein complexes of close molecular weights that might not be resolved by traditional chromatographic techniques such as gel filtration. With little more work than conventional AP-geLC-MS/MS, we demonstrate this strategy may in many cases be adequate for obtaining protein complex topological information concomitantly to identifying protein interactions.

Here we present protocols for affinity purification of protein complexes and their separation by blue native PAGE, followed by protein correlation profiling using label free quantitative mass spectrometry. This method is useful to resolve interactomes into distinct protein complexes.

Most proteins act in association with others; hence, it is crucial to characterize these functional units in order to fully understand biological ...

Biochemistry

Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions

Secreted factors, membrane-tethered receptors, and their interacting partners are main regulators of cellular communication and initiation of signaling cascades during homeostasis and disease, and as such represent prime therapeutic targets. Despite their relevance, these interaction networks remain significantly underrepresented in current databases; therefore, most extracellular proteins have no documented binding partner. This discrepancy is primarily due to the challenges associated with the study of the extracellular proteins, including expression of functional proteins, and the weak, low affinity, protein interactions often established between cell surface receptors. The purpose of this method is to describe the printing of a library of extracellular proteins in a microarray format for screening of protein-protein interactions. To enable detection of weak interactions, a method based on multimerization of the query protein under study is described. Coupled to this microbead-based multimerization approach for increased multivalency, the protein microarray allows robust detection of transient protein-protein interactions in high throughput. This method offers a rapid and low sample consuming-approach for identification of new interactions applicable to any extracellular protein. Protein microarray printing and screening protocol are described. This technology will be useful for investigators seeking a robust method for discovery of protein interactions in the extracellular space.

Here, we present a protocol to screen extracellular protein microarrays for identification of novel receptor-ligand interactions in high throughput. We also describe a method to enhance detection of transient protein-protein interactions by using protein-microbead complexes.

Secreted factors, membrane-tethered receptors, and their interacting partners are main regulators of cellular communication and initiation of signaling ...

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Significant efforts were gathered to generate large-scale comprehensive protein-protein interaction network maps. This is instrumental to understand the pathogen-host relationships and was essentially performed by genetic screenings in yeast two-hybrid systems. The recent improvement of protein-protein interaction detection by a Gaussia luciferase-based fragment complementation assay now offers the opportunity to develop integrative comparative interactomic approaches necessary to rigorously compare interaction profiles of proteins from different pathogen strain variants against a common set of cellular factors.
This paper specifically focuses on the utility of combining two orthogonal methods to generate protein-protein interaction datasets: yeast two-hybrid (Y2H) and a new assay, high-throughput Gaussia princeps protein complementation assay (HT-GPCA) performed in mammalian cells.
A large-scale identification of cellular partners of a pathogen protein is performed by mating-based yeast two-hybrid screenings of cDNA libraries using multiple pathogen strain variants. A subset of interacting partners selected on a high-confidence statistical scoring is further validated in mammalian cells for pair-wise interactions with the whole set of pathogen variants proteins using HT-GPCA. This combination of two complementary methods improves the robustness of the interaction dataset, and allows the performance of a stringent comparative interaction analysis. Such comparative interactomics constitute a reliable and powerful strategy to decipher any pathogen-host interplays.

This article focuses on the identification of high-confident interaction datasets between host and pathogen proteins using a combination of two orthogonal methods: yeast two-hybrid followed by a high-throughput interaction assay in mammalian cells called HT-GPCA.

Significant efforts were gathered to generate  large-scale comprehensive protein-protein interaction network maps. This is  instrumental to understand the ...

Immunology and Infection

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Dynamic protein-protein interactions control cellular behavior, from motility to DNA replication to signal transduction. However, monitoring dynamic interactions among multiple proteins in a protein interaction network is technically difficult. Here, we present a protocol for Quantitative Multiplex Immunoprecipitation (QMI), which allows quantitative assessment of fold changes in protein interactions based on relative fluorescence measurements of Proteins in Shared Complexes detected by Exposed Surface epitopes (PiSCES). In QMI, protein complexes from cell lysates are immunoprecipitated onto microspheres, and then probed with a labeled antibody for a different protein in order to quantify the abundance of PiSCES. Immunoprecipitation antibodies are conjugated to different MagBead spectral regions, which allows a flow cytometer to differentiate multiple parallel immunoprecipitations and simultaneously quantify the amount of probe antibody associated with each. QMI does not require genetic tagging and can be performed using minimal biomaterial compared to other immunoprecipitation methods. QMI can be adapted for any defined group of interacting proteins, and has thus far been used to characterize signaling networks in T cells and neuronal glutamate synapses. Results have led to new hypothesis generation with potential diagnostic and therapeutic applications. This protocol includes instructions to perform QMI, from the initial antibody panel selection through to running assays and analyzing data. The initial assembly of a QMI assay involves screening antibodies to generate a panel, and empirically determining an appropriate lysis buffer. The subsequent reagent preparation includes covalently coupling immunoprecipitation antibodies to MagBeads, and biotinylating probe antibodies so they can be labeled by a streptavidin-conjugated fluorophore. To run the assay, lysate is mixed with MagBeads overnight, and then beads are divided and incubated with different probe antibodies, and then a fluorophore label, and read by flow cytometry. Two statistical tests are performed to identify PiSCES that differ significantly between experimental conditions, and results are visualized using heatmaps or node-edge diagrams.

Quantitative Multiplex Immunoprecipitation (QMI) uses flow cytometry for sensitive detection of differences in the abundance of targeted protein-protein interactions between two samples. QMI can be performed using a small amount of biomaterial, does not require genetically engineered tags, and can be adapted for any previously defined protein interaction network.

Dynamic protein-protein interactions control cellular behavior, from motility to DNA replication to signal transduction. However, monitoring dynamic ...

In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces

Unraveling the interaction network of molecules in-vivo is key to understanding the mechanisms that regulate cell function and metabolism. A multitude of methodological options for addressing molecular interactions in cells have been developed, but most of these methods suffer from being rather indirect and therefore hardly quantitative. On the contrary, a few high-end quantitative approaches were introduced, which however are difficult to extend to high throughput. To combine high throughput capabilities with the possibility to extract quantitative information, we recently developed a new concept for identifying protein-protein interactions (Schwarzenbacher et al., 2008). Here, we describe a detailed protocol for the design and the construction of this system which allows for analyzing interactions between a fluorophore-labeled protein ("prey") and a membrane protein ("bait") in-vivo. Cells are plated on micropatterned surfaces functionalized with antibodies against the bait exoplasmic domain. Bait-prey interactions are assayed via the redistribution of the fluorescent prey. The method is characterized by high sensitivity down to the level of single molecules, the capability to detect weak interactions, and high throughput capability, making it applicable as screening tool.

In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces

This video shows experiments with subsequent analysis of protein-protein interactions by the use of micro-patterned surfaces. The approach offers the possibility to detect protein interactions in living cells and combines high throughput capabilities with the possibility to extract quantitative information.

Unraveling the interaction network of molecules in-vivo is key to understanding the mechanisms that regulate cell function and metabolism. A multitude of ...

Chemically-blocked Antibody Microarray for Multiplexed High-throughput Profiling of Specific Protein Glycosylation in Complex Samples

In this study, we describe an effective protocol for use in a multiplexed high-throughput antibody microarray with glycan binding protein detection that allows for the glycosylation profiling of specific proteins. Glycosylation of proteins is the most prevalent post-translational modification found on proteins, and leads diversified modifications of the physical, chemical, and biological properties of proteins. Because the glycosylation machinery is particularly susceptible to disease progression and malignant transformation, aberrant glycosylation has been recognized as early detection biomarkers for cancer and other diseases. However, current methods to study protein glycosylation typically are too complicated or expensive for use in most normal laboratory or clinical settings and a more practical method to study protein glycosylation is needed. The new protocol described in this study makes use of a chemically blocked antibody microarray with glycan-binding protein (GBP) detection and significantly reduces the time, cost, and lab equipment requirements needed to study protein glycosylation. In this method, multiple immobilized glycoprotein-specific antibodies are printed directly onto the microarray slides and the N-glycans on the antibodies are blocked. The blocked, immobilized glycoprotein-specific antibodies are able to capture and isolate glycoproteins from a complex sample that is applied directly onto the microarray slides. Glycan detection then can be performed by the application of biotinylated lectins and other GBPs to the microarray slide, while binding levels can be determined using Dylight 549-Streptavidin. Through the use of an antibody panel and probing with multiple biotinylated lectins, this method allows for an effective glycosylation profile of the different proteins found in a given human or animal sample to be developed.
Introduction
Glycosylation of protein, which is the most ubiquitous post-translational modification on proteins, modifies the physical, chemical, and biological properties of a protein, and plays a fundamental role in various biological processes1-6. Because the glycosylation machinery is particularly susceptible to disease progression and malignant transformation, aberrant glycosylation has been recognized as early detection biomarkers for cancer and other diseases 7-12. In fact, most current cancer biomarkers, such as the L3 fraction of &alpha;-1 fetoprotein (AFP) for hepatocellular carcinoma 13-15, and CA199 for pancreatic cancer 16, 17 are all aberrant glycan moieties on glycoproteins. However, methods to study protein glycosylation have been complicated, and not suitable for routine laboratory and clinical settings. Chen et al. has recently invented a chemically blocked antibody microarray with a glycan-binding protein (GBP) detection method for high-throughput and multiplexed profile glycosylation of native glycoproteins in a complex sample 18. In this affinity based microarray method, multiple immobilized glycoprotein-specific antibodies capture and isolate glycoproteins from the complex mixture directly on the microarray slide, and the glycans on each individual captured protein are measured by GBPs. Because all normal antibodies contain N-glycans which could be recognized by most GBPs, the critical step of this method is to chemically block the glycans on the antibodies from binding to GBP. In the procedure, the cis-diol groups of the glycans on the antibodies were first oxidized to aldehyde groups by using NaIO4 in sodium acetate buffer avoiding light. The aldehyde groups were then conjugated to the hydrazide group of a cross-linker, 4-(4-N-MaleimidoPhenyl)butyric acid Hydrazide HCl (MPBH), followed by the conjugation of a dipeptide, Cys-Gly, to the maleimide group of the MPBH. Thus, the cis-diol groups on glycans of antibodies were converted into bulky none hydroxyl groups, which hindered the lectins and other GBPs bindings to the capture antibodies. This blocking procedure makes the GBPs and lectins bind only to the glycans of captured proteins. After this chemically blocking, serum samples were incubated with the antibody microarray, followed by the glycans detection by using different biotinylated lectins and GBPs, and visualized with Cy3-streptavidin. The parallel use of an antibody panel and multiple lectin probing provides discrete glycosylation profiles of multiple proteins in a given sample 18-20. This method has been used successfully in multiple different labs 1, 7, 13, 19-31. However, stability of MPBH and Cys-Gly, complicated and extended procedure in this method affect the reproducibility, effectiveness and efficiency of the method. In this new protocol, we replaced both MPBH and Cys-Gly with one much more stable reagent glutamic acid hydrazide (Glu-hydrazide), which significantly improved the reproducibility of the method, simplified and shorten the whole procedure so that the it can be completed within one working day. In this new protocol, we describe the detailed procedure of the protocol which can be readily adopted by normal labs for routine protein glycosylation study and techniques which are necessary to obtain reproducible and repeatable results.

In this study, we describe an improved protocol for a multiplexed high-throughput antibody microarray with lectin detection method that can be used in glycosylation profiling of specific proteins. This protocol features new reliable reagents and significantly reduces the time, cost, and lab equipment requirements as compared to the previous procedure.

 In this study, we describe an effective protocol for use in a multiplexed high-throughput antibody microarray with glycan binding protein detection that ...

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics

Quantitative proteomics combined with immuno-affinity purification, SILAC immunoprecipitation, represent a powerful means for the discovery of novel protein:protein interactions. By allowing the accurate relative quantification of protein abundance in both control and test samples, true interactions may be easily distinguished from experimental contaminants. Low affinity interactions can be preserved through the use of less-stringent buffer conditions and remain readily identifiable. This protocol discusses the labeling of tissue culture cells with stable isotope labeled amino acids, transfection and immunoprecipitation of an affinity tagged protein of interest, followed by the preparation for submission to a mass spectrometry facility. This protocol then discusses how to analyze and interpret the data returned from the mass spectrometer in order to identify cellular partners interacting with a protein of interest. As an example this technique is applied to identify proteins binding to the eukaryotic translation initiation factors: eIF4AI and eIF4AII.

SILAC immunoprecipitation experiments represent a powerful means for discovering novel protein:protein interactions. By allowing the accurate relative quantification of protein abundance in both control and test samples, true interactions may be easily distinguished from experimental contaminants, and low affinity interactions preserved through use of less-stringent buffer conditions.

Quantitative proteomics combined with immuno-affinity purification, SILAC immunoprecipitation, represent a powerful means for the discovery of novel ...

Identifying Protein-protein Interaction Sites Using Peptide Arrays

Protein-protein interactions mediate most of the processes in the living cell and control homeostasis of the organism. Impaired protein interactions may result in disease, making protein interactions important drug targets. It is thus highly important to understand these interactions at the molecular level. Protein interactions are studied using a variety of techniques ranging from cellular and biochemical assays to quantitative biophysical assays, and these may be performed either with full-length proteins, with protein domains or with peptides. Peptides serve as excellent tools to study protein interactions since peptides can be easily synthesized and allow the focusing on specific interaction sites. Peptide arrays enable the identification of the interaction sites between two proteins as well as screening for peptides that bind the target protein for therapeutic purposes. They also allow high throughput SAR studies. For identification of binding sites, a typical peptide array usually contains partly overlapping 10-20 residues peptides derived from the full sequences of one or more partner proteins of the desired target protein. Screening the array for binding the target protein reveals the binding peptides, corresponding to the binding sites in the partner proteins, in an easy and fast method using only small amount of protein.
In this article we describe a protocol for screening peptide arrays for mapping the interaction sites between a target protein and its partners. The peptide array is designed based on the sequences of the partner proteins taking into account their secondary structures. The arrays used in this protocol were Celluspots arrays prepared by INTAVIS Bioanalytical Instruments. The array is blocked to prevent unspecific binding and then incubated with the studied protein. Detection using an antibody reveals the binding peptides corresponding to the specific interaction sites between the proteins.

Peptide array screening is a high throughput assay for identifying protein-protein interaction sites. This allows mapping multiple interactions of a target protein and can serve as a method for identifying sites for inhibitors that target a protein. Here we describe a protocol for screening and analyzing peptide arrays.

Protein-protein interactions mediate most of the processes in the living cell and control homeostasis of the organism. Impaired protein interactions may ...

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

Proteins are the building blocks, effectors and signal mediators of cellular processes. A protein&#8217;s function, regulation and localization often depend on its interactions with other proteins. Here, we describe a protocol for the yeast protein-fragment complementation assay (PCA), a powerful method to detect direct and proximal associations between proteins in living cells. The interaction between two proteins, each fused to a dihydrofolate reductase (DHFR) protein fragment, translates into growth of yeast strains in presence of the drug methotrexate (MTX). Differential fitness, resulting from different amounts of reconstituted DHFR enzyme, can be quantified on high-density colony arrays, allowing to differentiate interacting from non-interacting bait-prey pairs. The high-throughput protocol presented here is performed using a robotic platform that parallelizes mating of bait and prey strains carrying complementary DHFR-fragment fusion proteins and the survival assay on MTX. This protocol allows to systematically test for thousands of protein-protein interactions (PPIs) involving bait proteins of interest and offers several advantages over other PPI detection assays, including the study of proteins expressed from their endogenous promoters without the need for modifying protein localization and for the assembly of complex reporter constructs.

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Proteins interact with each other and these interactions determine in a large part their functions. Protein interaction partners can be identified at high-throughput in vivo using a yeast fitness assay based on the dihydrofolate reductase protein-fragment complementation assay (DHFR-PCA).

Proteins are the building blocks, effectors and signal mediators of cellular processes. A protein&#8217;s function, regulation and localization often ...

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism&#39;s survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide chain or string.
Various computational and biochemical methods are used to study protein interfaces. Laboratory methods, such as affinity purification, mass spectrometry, and protein microarrays, can be used to identify new interactions. Co-immunoprecipitation of proteins and yeast two-hybrid screening are widely used to provide evidence on whether two proteins interact in vitro.&#160; Computer programs can predict PPIs based on similar interactions found in other proteins by comparing protein sequences and three-dimensional structures. Other computational approaches, such as phylogenetic profiling, predict PPIs based on the coevolution of binding partners. Additionally, gene fusion analysis is used to predict interaction partners by finding protein pairs that are fused in the genome of other organisms.&#160;
Proteins typically interact with multiple partners either at the same or different times, and they may contain more than one interaction interface.&#160; Many proteins form large complexes that perform specific functions that can only be carried out by the complete complex. In some cases, these protein interactions are regulated; that is, a protein may interact with different partners based on cellular needs. Further computational and statistical analyses sort such interactions into networks, which are curated in online interactome databases. These searchable databases enable users to study specific protein interactions, as well as design drugs that can enhance or disrupt interactions at the interface.

Protein Complexes and Protein-Protein Interactions

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism&#39;s survival. Most PPIs ...

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

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