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<Table ID="Table0" XFormat="numbers" YFormat="replicates" Replicates="1" TableType="XY" EVFormat="AsteriskAfterNumber">
<Title>Human ELISA</Title>
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<WebLink Flags="0" ToolTip="REG_Entering_data_for_standard_cur" URL="@help:REG_Interpolating_from_a_linear_st">
Learn more about interpolating from standard curves
</WebLink>

<B><Font Size="11" Color="#000000" Face="Verdana">
How the data are organized
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>The X values are micrograms of protein. The Y values are the measured optical density. The first seven rows represent standards, where you know both concentration and signal (Y).  The next three rows represent unknowns.
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<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>The goal
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>To fit a straight line through the standards,  and then interpolate concentrations for the three unknown values. 
</Font>
<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>How to fit a dose response curve 
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>1. Click Analyze, choose  Linear regression from the list of XY analyses.
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>2. Check the option: 
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<I><Font Size="11" Color="#000000" Face="Verdana">
<BR/>Interpolate unknowns from standard curve.
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<Font Size="11" Color="#000000" Face="Verdana">
<BR/>3. Look at the graph to make sure the line fits nicely. 
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<BR/>4. To find the concentrations corresponding to the unknown values, go to the results subpage: 
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<I><Font Size="11" Color="#000000" Face="Verdana">
Interpolated X values.
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<WebLink Flags="0" ToolTip="@help:REG_Example_RIA" URL="@help:REG_Example_RIA">
Nonlinear standard curve interpolations
</WebLink>

<Font Size="11" Color="#000000" Face="Verdana">
What if the standard curve isn't linear?
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<d/>
<d/>
<d/>
<d/>
<d/>
<d/>
<d>saline</d>
<d>saline</d>
<d>saline</d>
<d>saline con</d>
<d>saline con</d>
<d>saline con</d>
<d>IL-1</d>
<d>IL-1 </d>
<d>IL-1 </d>
<d>IL-1 con</d>
<d>IL-1 con</d>
<d>IL-1 con</d>
<d>Saline Plasma</d>
<d>Saline PLasma</d>
<d>Saline PLasma</d>
<d>IL-1 Plasma</d>
<d>IL-1 Plasma</d>
<d>IL-1 Plasma</d>
<d>Saline EVs</d>
<d>Saline EVs</d>
<d>Saline EVs</d>
<d>IL-1 EVs</d>
<d>IL-1 EVs</d>
<d>IL-1 EVs</d>
<d>Saline Liver</d>
<d>Saline Liver</d>
<d>Saline Liver</d>
<d>IL-1 Liver</d>
<d>IL-1 Liver</d>
<d>IL-1 Liver</d>
</Subcolumn>
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<XColumn Width="287" Subcolumns="1" Decimals="6">
<Title>picograms/ml</Title>
<Subcolumn>
<d>250</d>
<d>125</d>
<d>62.5</d>
<d>31.25</d>
<d>15.625</d>
<d>7.8125</d>
</Subcolumn>
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<XAdvancedColumn Version="1" Width="287" Decimals="6" Subcolumns="1">
<Title>picograms/ml</Title>
<Subcolumn>
<d>250</d>
<d>125</d>
<d>62.5</d>
<d>31.25</d>
<d>15.625</d>
<d>7.8125</d>
</Subcolumn>
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<YColumn Width="216" Decimals="6" Subcolumns="1">
<Title>Optical Density</Title>
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<d>1.338667</d>
<d>0.853</d>
<d>0.514667</d>
<d>0.319667</d>
<d>0.214</d>
<d>0.160333</d>
<d>0.2305</d>
<d>0.2735</d>
<d>0.2955</d>
<d>0.3965</d>
<d>0.308</d>
<d>0.305</d>
<d>0.705</d>
<d>1.1405</d>
<d>0.414</d>
<d>0.3355</d>
<d>0.5315</d>
<d>0.434</d>
<d>0.0845</d>
<d>0.066</d>
<d>0.069</d>
<d>0.07</d>
<d>0.073</d>
<d>0.0705</d>
<d>0.0645</d>
<d>0.068</d>
<d>0.0685</d>
<d>0.069</d>
<d>0.1005</d>
<d>0.074</d>
<d>0.3805</d>
<d>0.8595</d>
<d>0.5</d>
<d>0.335</d>
<d>0.539</d>
<d>0.06</d>
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<Table ID="Table4" XFormat="numbers" YFormat="replicates" Replicates="1" TableType="XY" EVFormat="AsteriskAfterNumber">
<Title>Rat ELISA</Title>
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<WebLink Flags="0" ToolTip="REG_Entering_data_for_standard_cur" URL="@help:REG_Interpolating_from_a_linear_st">
Learn more about interpolating from standard curves
</WebLink>

<B><Font Size="11" Color="#000000" Face="Verdana">
How the data are organized
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>The X values are micrograms of protein. The Y values are the measured optical density. The first seven rows represent standards, where you know both concentration and signal (Y).  The next three rows represent unknowns.
</Font>
<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>The goal
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>To fit a straight line through the standards,  and then interpolate concentrations for the three unknown values. 
</Font>
<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>How to fit a dose response curve 
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>1. Click Analyze, choose  Linear regression from the list of XY analyses.
</Font>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>2. Check the option: 
</Font>
<I><Font Size="11" Color="#000000" Face="Verdana">
<BR/>Interpolate unknowns from standard curve.
</Font></I>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>3. Look at the graph to make sure the line fits nicely. 
</Font>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>4. To find the concentrations corresponding to the unknown values, go to the results subpage: 
</Font>
<I><Font Size="11" Color="#000000" Face="Verdana">
Interpolated X values.
</Font></I>
</FloatingNote>

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<WebLink Flags="0" ToolTip="@help:REG_Example_RIA" URL="@help:REG_Example_RIA">
Nonlinear standard curve interpolations
</WebLink>

<Font Size="11" Color="#000000" Face="Verdana">
What if the standard curve isn't linear?
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<d/>
<d/>
<d/>
<d/>
<d/>
<d/>
<d>saline</d>
<d>saline</d>
<d>saline</d>
<d>saline con</d>
<d>saline con</d>
<d>saline con</d>
<d>IL-1</d>
<d>IL-1 </d>
<d>IL-1 </d>
<d>IL-1 con</d>
<d>IL-1 con</d>
<d>IL-1 con</d>
<d>Saline Plasma</d>
<d>Saline PLasma</d>
<d>Saline PLasma</d>
<d>IL-1 Plasma</d>
<d>IL-1 Plasma</d>
<d>IL-1 Plasma</d>
<d>Saline EVs</d>
<d>Saline EVs</d>
<d>Saline EVs</d>
<d>IL-1 EVs</d>
<d>IL-1 EVs</d>
<d>IL-1 EVs</d>
<d>Saline Liver</d>
<d>Saline Liver</d>
<d>Saline Liver</d>
<d>IL-1 Liver</d>
<d>IL-1 Liver</d>
<d>IL-1 Liver</d>
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<XColumn Width="287" Subcolumns="1" Decimals="6">
<Title>picograms/ml</Title>
<Subcolumn>
<d>4000</d>
<d>2000</d>
<d>1000</d>
<d>500</d>
<d>250</d>
<d>125</d>
</Subcolumn>
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<XAdvancedColumn Version="1" Width="287" Decimals="6" Subcolumns="1">
<Title>picograms/ml</Title>
<Subcolumn>
<d>4000</d>
<d>2000</d>
<d>1000</d>
<d>500</d>
<d>250</d>
<d>125</d>
</Subcolumn>
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<YColumn Width="216" Decimals="6" Subcolumns="1">
<Title>Optical Density</Title>
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<d>1.338667</d>
<d>0.853</d>
<d>0.514667</d>
<d>0.319667</d>
<d>0.214</d>
<d>0.160333</d>
<d>0.395</d>
<d>0.376</d>
<d>0.4155</d>
<d>0.5665</d>
<d>0.5195</d>
<d>0.4365</d>
<d>0.3285</d>
<d>0.327</d>
<d>0.276</d>
<d>0.311</d>
<d>0.394</d>
<d>0.5065</d>
<d>0.191</d>
<d>0.1205</d>
<d>0.126</d>
<d>0.11</d>
<d>0.123</d>
<d>0.113</d>
<d>0.098</d>
<d>0.107</d>
<d>0.1115</d>
<d>0.1425</d>
<d>0.1085</d>
<d>0.142</d>
<d>0.6325</d>
<d>0.666</d>
<d>0.5965</d>
<d>0.432</d>
<d>0.5665</d>
<d>0.5175</d>
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<Table ID="Table8" XFormat="numbers" YFormat="replicates" Replicates="1" TableType="XY" EVFormat="AsteriskAfterNumber">
<Title>Human ELISA High Plasma</Title>
<FloatingNote ID="Sticky17" Auto="0" Color="Yellow" Left="2817" Top="1273" Width="1163" Height="940" ScrWidth="1280" ScrHeight="720" ScrDPI="240">
<WebLink Flags="0" ToolTip="REG_Entering_data_for_standard_cur" URL="@help:REG_Interpolating_from_a_linear_st">
Learn more about interpolating from standard curves
</WebLink>

<B><Font Size="11" Color="#000000" Face="Verdana">
How the data are organized
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>The X values are micrograms of protein. The Y values are the measured optical density. The first seven rows represent standards, where you know both concentration and signal (Y).  The next three rows represent unknowns.
</Font>
<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>The goal
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>To fit a straight line through the standards,  and then interpolate concentrations for the three unknown values. 
</Font>
<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>How to fit a dose response curve 
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>1. Click Analyze, choose  Linear regression from the list of XY analyses.
</Font>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>2. Check the option: 
</Font>
<I><Font Size="11" Color="#000000" Face="Verdana">
<BR/>Interpolate unknowns from standard curve.
</Font></I>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>3. Look at the graph to make sure the line fits nicely. 
</Font>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>4. To find the concentrations corresponding to the unknown values, go to the results subpage: 
</Font>
<I><Font Size="11" Color="#000000" Face="Verdana">
Interpolated X values.
</Font></I>
</FloatingNote>

<FloatingNote ID="Sticky18" Auto="0" Color="Blue" Left="2817" Top="1235" Width="743" Height="183" ScrWidth="1280" ScrHeight="720" ScrDPI="240">
<WebLink Flags="0" ToolTip="@help:REG_Example_RIA" URL="@help:REG_Example_RIA">
Nonlinear standard curve interpolations
</WebLink>

<Font Size="11" Color="#000000" Face="Verdana">
What if the standard curve isn't linear?
</Font>
</FloatingNote>

<RowTitlesColumn Width="272">
<Subcolumn>
<d/>
<d/>
<d/>
<d/>
<d/>
<d/>
<d>saline</d>
<d>saline</d>
<d>saline</d>
<d>saline con</d>
<d>saline con</d>
<d>saline con</d>
<d>IL-1</d>
<d>IL-1 </d>
<d>IL-1 </d>
<d>IL-1 con</d>
<d>IL-1 con</d>
<d>IL-1 con</d>
<d>Saline Liver</d>
<d>Saline Liver</d>
<d>Saline Liver</d>
<d>IL-1 Liver</d>
<d>IL-1 Liver</d>
<d>IL-1 Liver</d>
<d>Saline Plasma</d>
<d>Saline PLasma</d>
<d>Saline PLasma</d>
<d>IL-1 Plasma</d>
<d>IL-1 Plasma</d>
<d>IL-1 Plasma</d>
<d>Saline EVs</d>
<d>Saline EVs</d>
<d>Saline EVs</d>
<d>IL-1 EVs</d>
<d>IL-1 EVs</d>
<d>IL-1 EVs</d>
</Subcolumn>
</RowTitlesColumn>
<XColumn Width="287" Subcolumns="1" Decimals="6">
<Title>picograms/ml</Title>
<Subcolumn>
<d>250</d>
<d>125</d>
<d>62.5</d>
<d>31.25</d>
<d>15.625</d>
<d>7.8125</d>
</Subcolumn>
</XColumn>
<XAdvancedColumn Version="1" Width="287" Decimals="6" Subcolumns="1">
<Title>picograms/ml</Title>
<Subcolumn>
<d>250</d>
<d>125</d>
<d>62.5</d>
<d>31.25</d>
<d>15.625</d>
<d>7.8125</d>
</Subcolumn>
</XAdvancedColumn>
<YColumn Width="216" Decimals="6" Subcolumns="1">
<Title>Optical Density</Title>
<Subcolumn>
<d>1.102</d>
<d>0.703667</d>
<d>0.386667</d>
<d>0.236</d>
<d>0.152667</d>
<d>0.115</d>
<d>0.1885</d>
<d>0.219</d>
<d>0.236</d>
<d>0.2565</d>
<d>0.239</d>
<d>0.233</d>
<d>0.6025</d>
<d>0.8555</d>
<d>0.3175</d>
<d>0.238</d>
<d>0.355</d>
<d>0.3085</d>
<d>0.0895</d>
<d>0.101</d>
<d>0.095</d>
<d>0.0925</d>
<d>0.0855</d>
<d>0.0855</d>
<d>0.6695</d>
<d>0.614</d>
<d>0.6555</d>
<d>0.4895</d>
<d>0.716</d>
<d>0.5965</d>
<d>0.0915</d>
<d>0.09</d>
<d>0.088</d>
<d>0.088</d>
<d>0.0845</d>
<d>0.0835</d>
</Subcolumn>
</YColumn>
</Table>
<Table ID="Table12" XFormat="none" TableType="OneWay" EVFormat="AsteriskAfterNumber">
<Title>Human</Title>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>Saline</Title>
<Subcolumn>
<d>12.9922657640106</d>
<d>21.8217694222473</d>
<d>26.3391898985544</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>IL-1 Ipsilateral </Title>
<Subcolumn>
<d>110.424811946181</d>
<d>199.849203647624</d>
<d Excluded="1">50.6716592822997</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>Saline Plasma</Title>
<Subcolumn>
<d>-16.9869792151187</d>
<d>-20.7857191611042</d>
<d>-20.1697072779714</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>IL-1 Plasma</Title>
<Subcolumn>
<d>-19.9643699835938</d>
<d>-19.348358100461</d>
<d>-19.861701336405</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>Saline EV Fraction</Title>
<Subcolumn>
<d>-21.0937251026706</d>
<d>-20.375044572349</d>
<d>-20.2723759251602</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>IL-1 EV Fraction</Title>
<Subcolumn>
<d>-20.1697072779714</d>
<d>-13.7015825050771</d>
<d>-19.1430208060834</d>
</Subcolumn>
</YColumn>
</Table>
<Table ID="Table13" XFormat="none" TableType="OneWay" EVFormat="AsteriskAfterNumber">
<Title>Rat</Title>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>Saline Ipsilateral</Title>
<Subcolumn>
<d>748.324011026006</d>
<d>685.901473535217</d>
<d>815.674643581858</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>Saline Contralateral</Title>
<Subcolumn>
<d>1311.76954679813</d>
<d>1157.35590142618</d>
<d>884.667974492731</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>IL-1 Ipsilateral </Title>
<Subcolumn>
<d>529.845129808243</d>
<d>524.91703474318</d>
<d>357.361802531061</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>IL-1 Contralateral</Title>
<Subcolumn>
<d>472.350687382515</d>
<d>745.038614315965</d>
<d>1114.64574419564</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>Saline Plasma</Title>
<Subcolumn>
<d>78.1030821775277</d>
<d>-153.517385880402</d>
<d>-135.447703975174</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>IL-1 Plasma</Title>
<Subcolumn>
<d>-188.014051335839</d>
<d>-145.303894105299</d>
<d>-178.157861205714</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>Saline EV Fraction</Title>
<Subcolumn>
<d>-227.438811856338</d>
<d>-197.870241465964</d>
<d>-183.085956270776</d>
</Subcolumn>
</YColumn>
<YColumn Width="197" Decimals="13" Subcolumns="1">
<Title>IL-1 EV Fraction</Title>
<Subcolumn>
<d>-81.2386582594881</d>
<d>-192.942146400901</d>
<d>-82.8813566145089</d>
</Subcolumn>
</YColumn>
</Table>
<Table ID="Table15" XFormat="numbers" YFormat="replicates" Replicates="1" TableType="XY" EVFormat="AsteriskAfterNumber">
<Title>BCA Test</Title>
<FloatingNote ID="Sticky19" Auto="0" Color="Yellow" Left="1338" Top="474" Width="582" Height="470" ScrWidth="2880" ScrHeight="864" ScrDPI="120">
<WebLink Flags="0" ToolTip="REG_Entering_data_for_standard_cur" URL="@help:REG_Interpolating_from_a_linear_st">
Learn more about interpolating from standard curves
</WebLink>

<B><Font Size="11" Color="#000000" Face="Verdana">
How the data are organized
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>The X values are micrograms of protein. The Y values are the measured optical density. The first seven rows represent standards, where you know both concentration and signal (Y).  The next three rows represent unknowns.
</Font>
<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>The goal
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>To fit a straight line through the standards,  and then interpolate concentrations for the three unknown values. 
</Font>
<B><Font Size="11" Color="#000000" Face="Verdana">
<BR/><BR/>How to fit a dose response curve 
</Font></B>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>1. Click Analyze, choose  Linear regression from the list of XY analyses.
</Font>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>2. Check the option: 
</Font>
<I><Font Size="11" Color="#000000" Face="Verdana">
<BR/>Interpolate unknowns from standard curve.
</Font></I>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>3. Look at the graph to make sure the line fits nicely. 
</Font>
<Font Size="11" Color="#000000" Face="Verdana">
<BR/>4. To find the concentrations corresponding to the unknown values, go to the results subpage: 
</Font>
<I><Font Size="11" Color="#000000" Face="Verdana">
Interpolated X values.
</Font></I>
</FloatingNote>

<FloatingNote ID="Sticky20" Auto="0" Color="Blue" Left="1548" Top="852" Width="372" Height="92" ScrWidth="2880" ScrHeight="864" ScrDPI="120">
<WebLink Flags="0" ToolTip="@help:REG_Example_RIA" URL="@help:REG_Example_RIA">
Nonlinear standard curve interpolations
</WebLink>

<Font Size="11" Color="#000000" Face="Verdana">
What if the standard curve isn't linear?
</Font>
</FloatingNote>

<RowTitlesColumn Width="272">
<Subcolumn>
<d/>
<d/>
<d/>
<d/>
<d/>
<d/>
<d/>
<d>saline</d>
<d>saline</d>
<d>saline con</d>
<d>saline con</d>
<d>saline con</d>
<d>IL-1</d>
<d>IL-1 </d>
<d>IL-1 </d>
<d>IL-1 con</d>
<d>IL-1 con</d>
<d>IL-1 con</d>
</Subcolumn>
</RowTitlesColumn>
<XColumn Width="287" Subcolumns="1" Decimals="6">
<Title>mg/ml</Title>
<Subcolumn>
<d>10</d>
<d>5</d>
<d>2.5</d>
<d>1.25</d>
<d>0.625</d>
<d>0.3125</d>
</Subcolumn>
</XColumn>
<XAdvancedColumn Version="1" Width="287" Decimals="6" Subcolumns="1">
<Title>mg/ml</Title>
<Subcolumn>
<d>10</d>
<d>5</d>
<d>2.5</d>
<d>1.25</d>
<d>0.625</d>
<d>0.3125</d>
</Subcolumn>
</XAdvancedColumn>
<YColumn Width="216" Decimals="6" Subcolumns="1">
<Title>Optical Density</Title>
<Subcolumn>
<d/>
<d>0.753</d>
<d>0.643</d>
<d>0.512667</d>
<d/>
<d>0.217333</d>
<d>0.263</d>
<d>0.306</d>
<d>0.3485</d>
<d>0.335</d>
<d>0.3905</d>
<d>0.373</d>
<d>0.2605</d>
<d>0.284</d>
<d>0.3355</d>
<d>0.2995</d>
<d>0.2925</d>
<d>0.395</d>
</Subcolumn>
</YColumn>
</Table>
<Table ID="Table19" XFormat="none" YFormat="replicates" Replicates="3" TableType="TwoWay" EVFormat="AsteriskAfterNumber">
<Title>Human Final</Title>
<RowTitlesColumn Width="153">
<Subcolumn>
<d>Brain Homogenate</d>
<d>Plasma</d>
<d>EV Fraction</d>
</Subcolumn>
</RowTitlesColumn>
<YColumn Width="522" Decimals="13" Subcolumns="3">
<Title>Vehicle</Title>
<Subcolumn>
<d>12.9922657640106</d>
<d>-16.9869792151187</d>
<d>-21.0937251026706</d>
</Subcolumn>
<Subcolumn>
<d>21.8217694222473</d>
<d>-20.7857191611042</d>
<d>-20.375044572349</d>
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<Subcolumn>
<d>26.3391898985544</d>
<d>-20.1697072779714</d>
<d>-20.2723759251602</d>
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</YColumn>
<YColumn Width="522" Decimals="13" Subcolumns="3">
<Title>IL-1<Font Face="Symbol">b</Font></Title>
<Subcolumn>
<d>110.424811946181</d>
<d>-19.9643699835938</d>
<d>-20.1697072779714</d>
</Subcolumn>
<Subcolumn>
<d>199.849203647624</d>
<d>-19.348358100461</d>
<d>-13.7015825050771</d>
</Subcolumn>
<Subcolumn>
<d Excluded="1">50.6716592822997</d>
<d>-19.861701336405</d>
<d>-19.1430208060834</d>
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</YColumn>
</Table>
<Table ID="Table21" XFormat="none" YFormat="replicates" Replicates="3" TableType="TwoWay" EVFormat="AsteriskAfterNumber">
<Title>Rat Final</Title>
<RowTitlesColumn Width="153">
<Subcolumn>
<d>Brain Homogenate</d>
<d>Plasma</d>
<d>EV Fraction</d>
</Subcolumn>
</RowTitlesColumn>
<YColumn Width="552" Decimals="13" Subcolumns="3">
<Title>Vehicle</Title>
<Subcolumn>
<d>748.324011026006</d>
<d Excluded="1">78.1030821775277</d>
<d>-227.438811856338</d>
</Subcolumn>
<Subcolumn>
<d>685.901473535217</d>
<d>-153.517385880402</d>
<d>-197.870241465964</d>
</Subcolumn>
<Subcolumn>
<d>815.674643581858</d>
<d>-135.447703975174</d>
<d>-183.085956270776</d>
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</YColumn>
<YColumn Width="552" Decimals="13" Subcolumns="3">
<Title>IL-1<Font Face="Symbol">b</Font></Title>
<Subcolumn>
<d>529.845129808243</d>
<d>-188.014051335839</d>
<d>-81.2386582594881</d>
</Subcolumn>
<Subcolumn>
<d>524.91703474318</d>
<d>-145.303894105299</d>
<d>-192.942146400901</d>
</Subcolumn>
<Subcolumn>
<d>357.361802531061</d>
<d>-178.157861205714</d>
<d>-82.8813566145089</d>
</Subcolumn>
</YColumn>
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