TITLE: No Title
AUTHORS: 

[DESCRIPTION]
<p>The Non-Interfering™ Protein Assay is a colorimetric assay for determining protein concentrations in protein loading buffer (Laemmli buffer), high β-mercaptoethanol concentrations, and in lipid and vesicle preparations.</p>

[BEFORE_START]
<p><em><strong>Prepare Reagent-II -</strong></em> Prior to use, prepare an appropriate volume of Reagent II by mixing 100 parts of Color Agent A with 1 part of Color Agent B. <em>(e.g. For 10ml of Reagent II, add 0.1ml Color Agent B to 10ml Color Agent A).</em></p>
<p> </p>
<p>Reagent II can be stored refrigerated for one month or as long as the optical density of the solution at 475-490nm is less than 0.025 O.D.</p>

[GUIDELINES]
<p><strong>INTRODUCTION</strong></p>
<p>The Non-Interfering™ Protein Assay is a highly sensitive colorimetric assay that overcomes interference by common laboratory agents. The assay removes detergents (non-ionic, ionic and zwitterionic), reducing agents (β-mercaptoethanol, DTT), chelating agents (EDTA), amines (Tris), sugars, and is highly tolerant of strong chaotropic buffers.</p>
<p> </p>
<p>The NI™ Protein Assay is suitable for determining protein concentrations in protein loading buffer (Laemmli buffer)<sup>1-4</sup> , high β-mercaptoethanol concentrations (&lt;15%)<sup>5-7</sup> and in lipid and vesicle preparations<sup>8-9</sup> . The NI™ Protein Assay has a linear response between 0.5-50µg and has a small sample requirement (1-50µl). The kit components are suitable for 500 assays.</p>
<p> </p>
<p><strong>ITEM(S) SUPPLIED</strong></p>
<table style="width: 461px;">
<tbody>
<tr style="height: 80px;">
<td style="width: 194px; height: 80px;"><strong>Description</strong></td>
<td style="width: 77px; height: 80px;"><strong>Cat. # 786-005</strong></td>
<td style="width: 79px; height: 80px;"><strong>Cat. # 786-896</strong></td>
</tr>
<tr style="height: 20px;">
<td style="width: 194px; height: 20px;">UPPA™ I</td>
<td style="width: 77px; height: 20px;">250ml</td>
<td style="width: 79px; height: 20px;">250ml</td>
</tr>
<tr style="height: 20px;">
<td style="width: 194px; height: 20px;">UPPA™ II</td>
<td style="width: 77px; height: 20px;">250ml</td>
<td style="width: 79px; height: 20px;">250ml </td>
</tr>
<tr style="height: 20px;">
<td style="width: 194px; height: 20px;">Copper Solution (Reagent I)</td>
<td style="width: 77px; height: 20px;">50ml</td>
<td style="width: 79px; height: 20px;">50ml</td>
</tr>
<tr style="height: 20px;">
<td style="width: 194px; height: 20px;">Color Agent A</td>
<td style="width: 77px; height: 20px;">2 x 250ml</td>
<td style="width: 79px; height: 20px;">2 x 250ml</td>
</tr>
<tr style="height: 20px;">
<td style="width: 194px; height: 20px;">Color Agent B</td>
<td style="width: 77px; height: 20px;">5ml</td>
<td style="width: 79px; height: 20px;">5ml</td>
</tr>
<tr style="height: 20px;">
<td style="width: 194px; height: 20px;">BSA Protein Standard [2mg/ml]</td>
<td style="width: 77px; height: 20px;">5ml</td>
<td style="width: 79px; height: 20px;">- </td>
</tr>
<tr style="height: 20px;">
<td style="width: 194px; height: 20px;">Non-Animal Protein Standard [2mg/ml] </td>
<td style="width: 77px; height: 20px;">-</td>
<td style="width: 79px; height: 20px;"> 5ml</td>
</tr>
</tbody>
</table>
<p> </p>
<p><strong> </strong></p>
<p><strong>STORAGE CONDITIONS </strong></p>
<p>The kit is shipped at ambient temperature. Upon arrival, store UPPA-I and UPPA-II at room temperature. The remaining kit components should be stored in the dark and refrigerated in its original box. When stored properly, the kit is stable for 1 year.</p>
<p> </p>
<p><strong>OVERVIEW </strong></p>
<p>The Non-Interfering™ Protein Assay is composed of two simple steps (see figure):</p>
<p> </p>
<p>1. Universal Protein Precipitating Agent (UPPA™ ) is added to the protein solutions to rapidly precipitate total protein. Protein is immobilized by centrifugation and interfering agents in the supernatant are discarded.</p>
<p> </p>
<p>2. Protein concentration is assayed by mixing with an alkaline solution containing a known concentration of copper salt; the copper ions bind to the peptide backbone and the assay measures the unbound copper ions. The assay is independent of protein side chains minimizing protein-to-protein variation. The color density is inversely proportional to the amount of protein.</p>
<p><img 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" /></p>
<p> </p>
<p><strong>TOLERANCE GUIDE</strong></p>
<p>• 2-Mercaptoethanol, 15%</p>
<p>• Ammonium Sulfate, 40%</p>
<p>• Brij® 35, 1%</p>
<p>• CHAPS, 4%</p>
<p>• CHAPSO, 1%</p>
<p>• Digitonin, 0.3%</p>
<p>• DTT, 0.35M</p>
<p>• EDTA, 0.1M</p>
<p>• Glycerol, 30%</p>
<p>• Guanidine Thiocynate, 4M</p>
<p>• Guanidine.HCl, 6M</p>
<p>• HEPES, 0.1M</p>
<p>• Hydrochloric acid, 0.1N</p>
<p>• Imidazole, 0.5M</p>
<p>• Iodoacetamide, 15mM</p>
<p>• N-Octyl Glucosidase, 0.5%</p>
<p>• Phosphate buffer, 0.2M</p>
<p>• Sarcosyl, 1%</p>
<p>• SDS, 2%</p>
<p>• Sodium azide, 0.1M</p>
<p>• Sodium Chloride, 0.5M</p>
<p>• Sodium hydroxide, 2.5mM</p>
<p>• Sucrose, 30%</p>
<p>• TCEP, 15mM</p>
<p>• Thesit, 2%</p>
<p>• Thiourea, 2M</p>
<p>• Tris.HCl , 0.5M</p>
<p>• Triton® X-100, 3%</p>
<p>• Triton® X-114, 3%</p>
<p>• Tween® 20, 2%</p>
<p>• Urea, 8M</p>
<p>• Zwittergent® 3-12, 1.5%</p>
<p> </p>
<p><strong>PREPARATION BEFORE USE </strong></p>
<p><em><strong>Prepare Reagent-II -</strong></em> Prior to use, prepare an appropriate volume of Reagent II by mixing 100 parts of Color Agent A with 1 part of Color Agent B. <em>(e.g. For 10ml of Reagent II, add 0.1ml Color Agent B to 10ml Color Agent A). </em></p>
<p> </p>
<p>Reagent II can be stored refrigerated for one month or as long as the optical density of the solution at 475-490nm is less than 0.025 O.D.</p>
<p> </p>
<p><strong>TROUBLESHOOTING</strong></p>
<table style="width: 551px;">
<tbody>
<tr style="height: 20px;">
<td style="width: 111px; height: 20px;"><strong>Problem</strong></td>
<td style="width: 142px; height: 20px;"><strong>Reason</strong></td>
<td style="width: 168px; height: 20px;"><strong>Solution</strong></td>
</tr>
<tr style="height: 160px;">
<td style="width: 111px; height: 160px;">Interference still occurring. Readings very low and show limited change with increasing concentrations.</td>
<td style="width: 142px; height: 160px;">Interfering agents not fully removed due to carry over at step 8.</td>
<td style="width: 168px; height: 160px;">Ensure all supernatant is removed in step 8. There should be no residual liquid.</td>
</tr>
<tr style="height: 20px;">
<td style="width: 111px; height: 20px;"> </td>
<td style="width: 142px; height: 20px;">Exceedingly high concentrations of interfering agents in starting samples.</td>
<td style="width: 168px; height: 20px;">If high concentrations of interfering agents are present additional washing after step 8 may be required. Add 0.5ml UPPA I and then 0.1ml UPPA II to the pellet. Gently invert a few times without disturbing the precipitate and repeat steps 7-8.</td>
</tr>
<tr style="height: 20px;">
<td style="width: 111px; height: 20px;">A Linear Response between 0.5-50µg not visualized. The standard curve is not straight.</td>
<td style="width: 142px; height: 20px;">Poor centrifugation at Step 7. Failure to pellet all the protein.</td>
<td style="width: 168px; height: 20px;">Centrifuge for &gt;5 minutes at &gt;10,000xg.</td>
</tr>
<tr style="height: 20px;">
<td style="width: 111px; height: 20px;"> </td>
<td style="width: 142px; height: 20px;">Insufficient mixing of Reagent II.</td>
<td style="width: 168px; height: 20px;">Use a 1ml pipette and rapidly shoot the Reagent II directly into the tube. Immediately invert to mix.</td>
</tr>
<tr style="height: 20px;">
<td style="width: 111px; height: 20px;">Low Protein Concentrations.</td>
<td style="width: 142px; height: 20px;">Protein pellet not fully resuspended</td>
<td style="width: 168px; height: 20px;"> Vortex pellet for 10-30 seconds at step 9.</td>
</tr>
</tbody>
</table>
<p> </p>
<p><strong>REFERENCES:</strong></p>
<p>1. Ho, T.H. et al (2005) Human Molecular Genetics 14: 1539</p>
<p>2. Ladd, A.N. et al (2001) Mol. Cell. Biol. 21: 1285</p>
<p>3. Loeb, D.M. et al (2002) J. Biol. Chem. 277: 19627</p>
<p>4. Shiels, A. et al (2007) Invest. Ophthalmol. Vis. Sci. 48: 500</p>
<p>5. Gushwa, N.N. et al (2003) Plant Physiology 132: 1925</p>
<p>6. DePinto, W. et al (2006) Mol. Cancer Ther. 5:2644</p>
<p>7. Werner, M.E. et al (2007) J. Biol. Chem. 282: 5560</p>
<p>8. Dennison, S.M. et al (2006). Biophysical Journal 90:1661</p>
<p>9. Reeve, I. et al (2002) PNAS 99: 8608</p>

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