Kavya+K.

__**Trial 1 (Sample A) - 20% glycerol**__ Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength. The slope of the graph evens out and stays fairly flat which implies that the inhibitor may be functioning properly, There is also not a giant spike after the substrate 6-pg was added as in the previous trials. Though this inhibitor may be functioning to halt the activity of the enzyme, it could also be the DMSO doing this. Future Notes: After this same trial should be repeated with the 20% glycerol stock of sample A to gain reproducibility results. There should also be another test to see if the DMSO is the factor inhibiting the enzyme.
 * Fall 2013** **Week 13 & 14--**
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** 95 **ul of H20, 10** **ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,** **10 ul of MgCl2, 10** **ul of Stock dilution 6-PG + 100 ul of H20, 5ul of 100uM 9038774**

__**Trial 1-3 (Sample B&C) - 20% glycerol**__ Analysis: The spike in each of the graphs displays that there was already NADPH present in the cuvette, so the inhibitor may not be functioning properly at the 340nm wavelength. This could also be due to the functionality of the enzyme, After testing the enzyme, it was clear that the B&C glycerol stock of the enzyme Tb6pgdh was not active.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** 95 **ul of H20, 10** **ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,** **10 ul of MgCl2, 10** **ul of Stock dilution 6-PG + 100 ul of H20, 5ul of 100uM 9038774**



Spectrometer graph result of absorbance vs. time of Trial 4 of inhibition assays of Tb6pgdh (Sample B/C, 20% glycerol) and Trial 19 of activity assays of Tb6pgdh (Sample B/C, 20% glycerol). Both reactions were measured at 340nm in a round-top cuvette.

Red graph: Trial 4 of inhibition assays of Sample B of Tb6pgdh. The solution contained 250uL of 100mM HEPES buffer, 95uL Nanopure water, 10uL 100mM MgCl2, and 10uL Tb6pgdh (B/C, 20% glycerol). 10uL of 10mM inhibitor 9038774 (made 6uL DMSO) was added, and the solution was allowed to incubate for 3 minutes, after which 20 ul of 1mM NADP+ was added. 10ul of 1mM 6-PG was combined with 100uL Nanopure water and added forcefully at approximately 0.4 minutes). The sharp peak indicates the addition of a substance to solution (peaks caused by inserting the pipette tip into cuvette upon transfer).

Blue graph: Spectrometer graph results of absorbance vs. time of activity assay of Tb6pgdh (Sample B/C) at 340nm. Solution contained 250uL of 100mM HEPES buffer, 100uL Nanopure water, 10uL of 100mM MgCl2, 10uL of Tb6pgdh protein (B/C sample, in 20% glycerol), and 20 ul of 1mM NADP+. 10ul of 1mM 6-PG in 100uL Nanopure water was added forcefully at approximately 1.2 minutes.

Analysis: The spike in the graph displays that there was already NADPH present in the cuvette, so the inhibitor may not be functioning properly at the 340nm wavelength. This could also be due to the functionality of the enzyme, After testing the enzyme, it was clear that the B&C glycerol stock of the enzyme Tb6pgdh was not active.

__**Enzyme Assays**__ __**Trial 19-22 (Sample A) - SUCCESS - Glycerol Stock of Enzyme A**__ Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength. The results of this assay are very repeatable and the slope of the assay occurs over a period of 3.5 minutes. The graph also begins to plateau after this. This was the first assay in which the results were the most accurate and these same conditions can be used as a control for future inhibition assays. Spectrometer graph results of absorbance vs. time of activity assays of Tb6pgdh (Sample B/C) at 340nm. All solutions contained 250uL of 100mM HEPES buffer, 10uL of 100mM MgCl2, and 20 ul of 1mM NADP+.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** **100 ul of H20, 10** **ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,** **10 ul of MgCl2, 10** **ul of Stock dilution 6-PG + 100 ul of H20**

__Red graph__: Trial 15 was completed in a round top cuvette; solution contained 105uL Nanopure water and 10uL of Tb6pgdh protein (B/C sample, in 20% glycerol). 5ul of 1mM 6-PG in 100uL Nanopure water was added forcefully at approximately 2 minutes.

__Blue graph__: Trial 16 was completed in a round top cuvette; solution contained 100uL Nanopure water and 10uL of Tb6pgdh protein (B/C sample, in 20% glycerol). 10ul of 1mM 6-PG in 100uL Nanopure water was added forcefully at approximately 4.5 minutes.

__Green graph__: Trial 17 was completed in a round top cuvette; solution contained 105uL Nanopure water and 5uL of Tb6pgdh protein (B/C sample, in 20% glycerol). 10ul of 1mM 6-PG in 100uL Nanopure water was added forcefully at approximately 4.5 minutes.

__Orange graph__: Trial 18 was completed in a round top cuvette; solution contained 105uL Nanopure water and 5uL of Tb6pgdh protein (B/C sample, in 20% glycerol). 10ul of 1mM 6-PG in 100uL Nanopure water was added forcefully at approximately 2 minutes.

__Analysis__: All trials appear to be converting NADP+ into NADPH, which is absorbed at 340nm. Trial 16 seems to have worked well, although the slope of the reaction could be lower for an ideal activity assay (a slow increase in NADPH production of two minutes is desired). The next step will be to attempt to replicate this trial for n=3 times in order to move on to inhibition assays with confidence. __**Trial 14 (Sample B&C)**__ Analysis:Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing. There is an immediate plateau as the NADP+ is reduced to NADPH after the substrate 6-pg is added. The enzyme at this point does not appear to be active. Note: There is a very rapid increase in slope, however, this cannot be considered accurate.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** **105 ul of H20, 10** **ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,** **10 ul of MgCl2, 5** **ul of Stock dilution 6-PG + 100 ul of H20**



__**Trial 13 (Sample B&C)**__ Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing. There is an immediate plateau as the NADP+ is reduced to NADPH after the substrate 6-pg is added. The enzyme at this point does not appear to be active.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** **107.5 ul of H20, 7.5** **ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,****10 ul of MgCl2, 5** **ul of Stock dilution 6-PG + 100 ul of H20**

__**Trial 12 (Sample B&C)**__ Analysis:Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing. There is an immediate plateau as the NADP+ is reduced to NADPH after the substrate 6-pg is added. The enzyme at this point does not appear to be active.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** **105 ul of H20, 7.5** **ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,****10 ul of MgCl2, 5** **ul of Stock dilution 6-PG + 100 ul of H20**

__**Trial 9-11 (Sample B&C)**__ Analysis: Trial 9 is represented by the red graph, Trial 10 by the blue graph, and Trial 11 by the green graph. Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, and the slope of the graphs are increasing at a linear rate over a period of 2 minutes. There is an immediate plateau after this as the NADP+ is reduced to NADPH after the substrate 6-pg is added. However these assays are not repeatable because the graph plateaus much quicker in the various trials.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** **105 ul of H20, 1****0 ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,****10 ul of MgCl2, 5** **ul of Stock dilution 6-PG + 100 ul of H20**

__**Trial 6-8 (Sample B&C)**__ Analysis: Trial 6 is represented by the red graph, Trial 7 by the blue graph, and Trial 8 by the green graph. Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, and the slope of the graphs are increasing at a linear rate over a period of 4 minutes. There is an immediate plateau after this as the NADP+ is reduced to NADPH after the substrate 6-pg is added. However these assays are not repeatable because the graph plateaus much quicker.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** **105 ul of H20, 1****0 ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,****10 ul of MgCl2, 5** **ul of Stock dilution 6-PG + 100 ul of H20**

__**Trial 5 (Sample B&C)**__ Analysis:Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing. There is an immediate plateau as the NADP+ is reduced to NADPH after the substrate 6-pg is added. This may have been possible due to a low amount of enzyme and more enzyme can be added to alleviate this issue.
 * The substrate 6PG was diluted in 1mM of the stock dilution**
 * 250 ul of HEPES Buffer,** **107 ul of H20, 1****0 ul of Tb6pgdh Enzyme, 2****0 ul of NADP+,****10 ul of MgCl2, 3** **ul of Stock dilution 6-PG + 100 ul of H20**

__**Trial 4 (Sample B&C)**__
 * The substrate 6PG was diluted in 1:10 of the stock dilution**

Analysis: Protein B&C was inactive. No reduction of NADP+ __**Trial 3 (Sample B&C)**__
 * 250 ul of HEPES Buffer,** **100 ul of H20,** **30 ul of Tb6pgdh Enzyme,** **20 ul of NADP+,2****0 ul of MgCl2,** **10 ul of Stock dilution 6-PG + 100 ul of H20**
 * The substrate 6PG was diluted in 1:10 of the stock dilution**

Analysis: Protein B&C was inactive. No reduction of NADP+ __**Trial 2 (Sample B&C)**__
 * 250 ul of HEPES Buffer,** **100 ul of H20,** **10 ul of Tb6pgdh Enzyme,** **20 ul of NADP+,****10 ul of MgCl2,** **10 ul of 1:10 working dilution 6-PG + 100 ul of H20**
 * The substrate 6PG was diluted in 1:100 of the stock dilution**

Analysis: Protein B&C was inactive. No reduction of NADP+ __**Trial 35 (Sample A)**__
 * 250 ul of HEPES Buffer,** **100 ul of H20,** **10 ul of Tb6pgdh Enzyme,** **20 ul of NADP+,** **10 ul of MgCl2,** **100 ul of 1:100 working dilution 6-PG**
 * The substrate 6PG was diluted in 1:10 of the stock dilution**

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly. The graph is too steep which indicates that the enzyme is converting the substrate too quickly. Perhaps this solution can be diluted to a 1:100 dilution more accuracy towards the 6PG KM value. At this point it may best to go back and try the 3ul of stock 6PG with varying the NADP+. __**Trial 32 (Plate Reader):**__HEPES Buffer= 250ul, MgCl2=10ul, Tb6pgdh=10ul, 6-PG= 4 ul of 6pg + 20ul of H20,NADP+=20ul, H20= 106ul __**Trial 33 (Plate Reader):**__ HEPES Buffer= 250ul, MgCl2=10ul, Tb6pgdh=10ul, 6-PG= 3 ul of 6pg + 20 ul of H20,NADP+=20ul, H20= 107ul __**Trial 34 (Plate** **Reader):**__ HEPES Buffer= 250ul, MgCl2=10ul, Tb6pgdh=10ul, 6-PG= 2 ul of 6pg + 20 ul of H20,NADP+=20ul, H20= 108ul Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly for all three of the graphs. The graph is too steep which indicates that the enzyme is converting the substrate too quickly. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is most accurate of the three samples.
 * 250 ul of HEPES Buffer,** **100 ul of H20,** **10 ul of Tb6pgdh Enzyme,1****0 ul of NADP+,** **10 ul of MgCl2,** **10 ul of 6-PG and 100 ul of H20 forcefully added**
 * The substrate 6PG was diluted in 1:10 of the stock dilution**

__**Trial 32 (Sample A)**__
 * The substrate 6PG was diluted in 1:10 of the stock dilution**

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly. The graph is too steep which indicates that the enzyme is plateauing too quickly. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is more accurate. Perhaps less substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG. __**Trial 31 (Sample A)**__
 * 250 ul of HEPES Buffer,** **106 ul of H20,** **10 ul of Tb6pgdh Enzyme,** **10 ul of NADP+,** **10 ul of MgCl2,** **4 ul of 6-PG and 100 ul of H20 forcefully added**
 * The substrate 6PG was diluted in 1:10 of the stock dilution**

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly. The graph is too steep, and shaky which indicates that the enzyme is converting the substrate too quickly. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is more accurate. Perhaps less substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG.
 * 250 ul of HEPES Buffer**
 * 105 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 5 ul of 6-PG and 100 ul of H20 forcefully added**



__**Trial 30 (Sample A)**__
 * The substrate 6PG was diluted in 1:10 of the stock dilution**

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly. The graph is too steep which indicates that the enzyme is converting the substrate too quickly. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is more accurate. Perhaps less substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG.
 * 250 ul of HEPES Buffer**
 * 100 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 10 ul of 6-PG and 100 ul of H20 forcefully added**

__**Trial 26 (Plate Reader):**__HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=0.2 ul of 6pg + 20ul of H20,NADP+=2ul, H20= 23.8ul __**Trial 27 (Plate Reader):**__ HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=0.3 ul of 6pg + 20 ul of H20,NADP+=2ul, H20= 23.7ul __**Trial 28 (Plate** **Reader):**__ HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=0.4 ul of 6pg + 20 ul of H20,NADP+=2ul, H20= 23.6ul __**Trial 29 (Plate Reader):**__ HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=0.5 ul of 6pg + 20 ul of H20,NADP+=2ul, H20= 23.5ul

__**Trial 21 (Plate Reader):**__HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=0.25 6pg + 20ul of H20,NADP+=2ul, H20= 23.75ul __**Trial 22 (Plate Reader):**__ HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=0.5 6pg + 20 ul of H20,NADP+=2ul, H20= 23.5ul __**Trial 23 (Plate** **Reader):**__ HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=1ul of 6pg + 20 ul of H20,NADP+=2ul, H20= 23ul __**Trial 24 (Plate Reader):**__ HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=2ul of 6pg + 20 ul of H20,NADP+=2ul, H20= 22ul __**Trial 25 (Plate Reader):**__ HEPES Buffer= 50ul, MgCl2=2ul, Tb6pgdh=2ul, 6-PG=3ul of 6pg + 20 ul of H20,NADP+=2ul, H20= 21ul

__**Trial 20 (Sample A)**__


 * 250 ul of HEPES Buffer**
 * 129 ul of H20**
 * 5 ul of Tb6pgdh Enzyme**
 * 3 ul of NADP+**
 * 10 ul of MgCl2**
 * 2 ul of 6-PG and 100 ul of H20 forcefully added**

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing much and plateauing too fast. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is more accurate. Note: The proportion of 6PG:NADP+ may be too small. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG.

__**Trial 19 (Sample A)**__ Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly, and plateauing too fast. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is more accurate. Note: The proportion of 6PG:NADP+ may be too small. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG.
 * 250 ul of HEPES Buffer**
 * 126 ul of H20**
 * 5 ul of Tb6pgdh Enzyme**
 * 5 ul of NADP+**
 * 10 ul of MgCl2**
 * 4 ul of 6-PG and 100 ul of H20 forcefully added**

__**Trial 18 (Sample A)**__

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly, and plateauing too fast. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is more accurate. Note: The proportion of 6PG:NADP+ may be too small. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG.
 * 250 ul of HEPES Buffer**
 * 121 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 5 ul of NADP+**
 * 10 ul of MgCl2**
 * 4 ul of 6-PG and 100 ul of H20 forcefully added**



__**Trial 17 (Sample A)**__

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is still increasing too quickly. The graph is too steep which indicates that the enzyme is converting the substrate too quickly. The volume of NADP+ was reduced in this trial, however I think 3ul of 6pg is more accurate. Perhaps less substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG.
 * 250 ul of HEPES Buffer**
 * 116 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 10 ul of NADP+**
 * 10 ul of MgCl2**
 * 4 ul of 6-PG and 100 ul of H20 forcefully added**

__**Trial 16 (Sample A)**__

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is increasing too quickly. The graph is too steep which indicates that the enzyme is converting the substrate too quickly. Perhaps less substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: There is a big discrepancy between adding 3ul of 6PG and 4ul of 6PG.
 * 250 ul of HEPES Buffer**
 * 106 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 4 ul of 6-PG and 100 ul of H20 forcefully added**

__**Trial 15 (Sample A)**__

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, and the slope of the graph is increasing in a linear manner. The graph is linear but shaky and does not plateau as it usually does. This is so far the best trial of the enzyme assays. Perhaps more substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. Note: Try and work off of this assay and modify it.
 * 250 ul of HEPES Buffer**
 * 107 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 3 ul of 6-PG and 100 ul of H20 forcefully added**

__**Trial 14 (Sample A)**__

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing. The graph is flat but not shaky, which indicates that the enzyme still is not converting the substrate as it should. Perhaps more substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader.
 * 250 ul of HEPES Buffer**
 * 108 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 2 ul of 6-PG and 100 ul of H20 forcefully added**



__**Trial 13 (Sample A)**__

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing. The graph is flat and extremely shaky, which indicates that the enzyme is not converting the substrate as it should. Perhaps less substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader. (NOTE: This is the same as Trial 12).
 * 250 ul of HEPES Buffer**
 * 109 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 1 ul of 6-PG and 100 ul of H20 forcefully added**

__**Trial 12**__ Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is not increasing. The graph is flat which indicates that the enzyme is not converting the substrate as it should. Perhaps more substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader.
 * 250 ul of HEPES Buffer**
 * 109 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 5 ul of 6-PG and 100 ul of H20 forcefully added**


 * Week 11 & 12-**
 * __ENZYME ASSAYS - ALL WITH ENZYME A - VARYING VOLUME OF DILUTED 6-PG__**
 * __Stock Dilutions For All Trials__**
 * 9750 ul of H20 and 250ul of HEPES = HEPES BUFFER**
 * 10 ul of 6-PG & 390 ul of H2O = 6-PG (substrate)**
 * 10 ul of NADP+ & 390 ul of H2O = NADP+ (substrate)**
 * Sterile Filtered Water**


 * TRIAL 11**

Analysis: Tb6pgdh is reducing NADP+ to NADPH at 340nm wavelength, however the slope of the graph is increasing too quickly. The graph is too steep which indicates that the enzyme is converting the substrate too quickly. Perhaps less substrate can be added to fix this issue. In this trial, we are still trying to obtain a good control to conduct assays in the plate reader.
 * 250 ul of HEPES Buffer**
 * 105 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10ul of MgCl2**
 * 5 ul of 6-PG and 100 ul of H20 forcefully added**

The solution contained 250uL of 100mM HEPES buffer, 103.5uL Nanopure water, 10uL 100mM MgCl2, 20 ul of 1mM NADP+, and 10uL Tb6pgdh. 6.50ul of 100uM 6-PG (the volume to reach the Km value of the substrate) was combined with 100uL additional Nanopure water and added forcefully. Analysis: The line is flat which indicates that the volumes of 6-pg associated with the km values are too low. Maybe it is useful to increase the concentration of the 6-pg substrate.
 * TRIAL 10 - 6PG KM**

__**TRIAL 9**__


 * 250 ul of HEPES Buffer**
 * 100 ul of H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 10 ul of MgCl2**
 * 30 ul of 6-PG and ul of H20 forcefully added**
 * Analysis: Tb6pgdh is reducing NADP+ to NADPH, however the slope of the graph increases too quickly. In other words, the conversion occurs too fast and**
 * this causes issues when trying vary the concentrations of the substrates.**

__**TRIAL 8**__ There is not much activity for the tb6pgdh enzyme. Tb6pgdh is reducing NADP+ to NADPH, however the graph plateaus too quickly. without converting a large amount of the substrate first. Maybe change the proportion of enzyme and substrate. Too much substrate? Saturation?
 * 250 ul of HEPES Buffer**
 * 220 H20**
 * 20 ul of Tb6pgdh Enzyme**
 * 30ul of NADP+**
 * 30ul of 6-PG**
 * 10 ul of MgCl2**



Trial 7: Used substrate working dilutions from other trial 11/7/13, left out for too long? Will make new dilutions and retry
 * 250 ul of HEPES Buffer**
 * 220 H20**
 * 10 ul of Tb6pgdh Enzyme**
 * 20 ul of NADP+**
 * 20 ul of 6-PG**
 * 10 ul of MgCl2**
 * Analysis: The substrates were diluted in water and may have been left out for too long. Therefore, there is not much activity for the tb6pgdh enzyme. Tb6pgdh is reducing NADP+ to NADPH, however the graph plateaus too quickly.**
 * 250 ul of HEPES Buffer**
 * 220 H20**
 * 70 ul of Tb6pgdh Enzyme**
 * 50 ul of NADP+**
 * 50 ul of 6-PG**
 * 10 ul of MgCl2**


 * Analysis: The substrates were diluted with water instead of HEPES buffer. This may affect the storage conditions and functionality of the substrates.**
 * Therefore, there is no plateau that has occurred with many of the other trials. This has also affected the assay because a larger amount of both the substrates and enzyme was required to receive activity of the enzyme.**

Spectrometer graph result of absorbance vs. time of five activity assays of Tb6pgdh (Sample A). All solutions contained 250uL of 100mM HEPES buffer, 220uL of Nanopure water, and 10uL of 100mM MgCl2. __Not represented on this graph__: Trial 1 was conducted on 10/25/13 __Red graph__: Trial 2 was completed in a square top cuvette; solution contained 10ul of 1mM 6-PG, 10 ul of 1mM NADP+ (added at 1.5 min), and 20uL Tb6pgdh (10uL added at 2 min, 10uL added at 5.5 min) __Blue graph__: Trial 3 was conducted in a round top cuvette; the spectrometer was not calibrated; solution contained 10ul of 1mM 6-PG, 10 ul of 1mM NADP+ (added at 0.6 min), and 20uL Tb6pgdh (10uL added at 1.9 min, 10uL added at 2.5 min) __Green graph__: Additional substrates and enzyme were added to Trial 3 solution; 50uL of 6-PG (30uL at 1.7min, 10uL at 6.3 min, 10uL at 9.5min), 50uL of NADP+ (30uL at 2min, 10uL at 6.5 min, 10uL at 9.7min), and 30uL of Tb6pgdh (20uL at 3 min, 10uL at 4.1 min) were added __Orange graph__: Trial 4 was conducted in the cleaned round top cuvette; solution contained 40uL of 6-PG, 40 uL of NADP+ (added at 0.5 min), 70uL of Tb6pgdh (30uL added at 0.4 min, 40uL added at 6 min)
 * __Trials 2-4__**

Analysis: The graphs are not accurate because the enzyme assays were conducted at the wrong wavelength of 220nm instead of 340nm.

__** Enzyme Activity Assay: Sample A, Trial 1 (10/25/13) **__ Figure 1: Spectra of enzyme activity assay of Tb6pgdh. Solution of HEPES buffer, water, MgCl2, 6-PG, NADP, and Tb6pgdh enzyme (Sample A) was measured over 20 minutes and analyzed based on 340nm. The peak at 340nm indicates a correctly functioning protein as NADPH is being produced. Figure 2:Spectra result of a solution of HEPES buffer, water, MgCl2, 6-PG, and NADP, without the Tb6pgdh enzyme. The lack of a peak at 340nm indicates that NADPH is not present. Figure 3:Spectra result of a solution of HEPES buffer, water, and NAPDH, without the substrates MgCl2, 6-PG, NADP, and Tb6pgdh enzyme (Sample A). The peak at 340nm indicates the presence of NADPH. __Analysis:__ The sample of Tb6pgdh being tested indicates an active protein. Figure 2 indicates that NADPH was not found in the buffer or any substrates before adding the enzyme. Figure 3 shows that NADPH is registering correctly at 340nm on the spectra. Figure 1 shows that NADPH is can be found when the enzyme is present in solution, implying that the protein is active and functioning correctly by reducing the NADP+ substrate into an NADPH product.


 * Week 9 & 10**

Good progress on your virtual screening! You can also include more analysis on the results, esp. on why some of the inhibitors had high scores and other VDS programs (besides GOLD) that you might want to use in the future. - Suman 11/5/13

=**__Top Ligands from cb_306 Library__**=


 * Figure 7: Top 4 compound from cb_306 Library ID: 9038774 (Data provided below - Pass Lipinski's Rule: Log P< 2 is ideal)**


 * Figure 6: Top 3 compound from cb_306 Library ID: 7746693 (Data provided below - Pass Lipinski's Rule: Log P< 2 is ideal)**


 * Figure 5. Top 2 compound from cb_306 Library ID: 5274837 (Data provided below - Pass Lipinski's Rule: Log P< 2 is ideal)**

=__**Control Ligand Docking**__=


 * Figure 4: Virtual Screening Dock of Positive and Negative Control Ligands by Gold**
 * NADP & 5RP (used to define the active site) highlighted in yellow.**
 * Negative controls highlighted in purple.**
 * Note: Some of the negative control ligands scored high on the list when they should have scored lower because they are known inhibitors.**


 * Figure 1 (left): 1PGJ protein with the docked control NADP ligand output from Gold (shown as cyan by element)**
 * Figure 2 (right): 1PGJ protein with original NADP ligand (cyan by element).**


 * The conformations of NADP do not align together which implies that Gold may not be a suitable docking program for the protein.**




 * Figure 3: 1PGJ protein with both docked control NADP ligand output from Gold (cyan) and original NADP ligand (green by element).**


 * The conformations of NADP do not align together which implies that Gold may not be a suitable docking program for the protein.**


 * Did you include captions of the library? Also where are you in virtual that is not providing data? If there are problems with virtual try to look for help. Nice work keeping what data you have been able to collect. Thank you. -Max 10/21/13
 * Week 7 - All work was virtual and preparing for enzyme assays. No pics10/20/13**
 * Virtual Screening Submitted - Results still need to be adjusted - Still looking for best conformation of NADP so results not shown.**


 * 102013 Screenshot of Control Ligand Library**


 * Dilution calculations for enzyme assays (tb6pgdh)**
 * substrates - 6-pg, B-NADP**
 * Hepes Buffer**

5&6-- 10/7/13 The next step is to start enzyme assays with the collected protein. 9/31/13 FPLC results from Sample B&C (37 degree Celsius shaking incubator).
 * Nice captions and brief analyses on your data. Keep up the good work. Thank you. -Max 10/07/2013

There is a peak at the 20-29 peak as well as the 30-39 peak, which implies that protein was collected. However the 20-29 peak make contain protein dimer but was collected anyway. Concentration after nanodrop was 1.5mg/ul for the 30-39 sample. 2 ml of elution buffer was used during purification and was allowed to sit for a couple of minutes. __ Protein Purification--Nickel Column: Sample C (9/28/13) __



Nanodrop result of elution 1 (2ml of elution buffer) of Tb6pgdh protein (Sample C, from the 50mL plate, grown at 25 deg) purified with a nickel column. Concentration is 11.305 mg/ml



Nanodrop result of elution 2 (4ml of elution buffer) of Tb6pgdh protein (Sample C, from the 50mL plate, grown at 25 deg) purified with a nickel column. Concentration is 1.255 mg/ml

__ Protein Purification--Nickel Column: Sample B (9/28/13) __ Nanodrop result of elution 1 (2ml of elution buffer) of Tb6pgdh protein (Sample B, from the 10mL plate, grown at 25 deg) purified with a nickel column. Concentration is 8.565 mg/ml. Nanodrop result of elution 2 (4ml of elution buffer) of Tb6pgdh protein (Sample B, from the 10mL plate, grown at 25 deg) purified with a nickel column. Concentration is 1.10 mg/ml

Currently we have performed FPLC on one of our samples and could potentially begin enzyme assays with this. However, we also have two more samples that we have expressed and would like to further purify those before we start enzyme assays. The gel below is incorrect because I used DNA blue juice instead of the protein blue juice. SDS page gel result of Tb6pgdh protein sample A (10ml plate, grown at 37 degrees). Lane 1: Cell lysate before induction Lane 2: Cell lysate after induction Lane 3: Skipped (well was punctured; possible contamination from lane 2) Lane 4: Soluble fraction Lane 5: Flow-through Lane 6: Wash Lane 7: Elution 1 Lane 8: Elution 2 Lane 9: Elution 3 Lane 10: ColorPlus protein ladder (10-230 kDa) **

**Week 3 & 4 9-Sep - 22-Sep**

 * Kavya - good work. Hopefully we can get a good yield after FPLC on the other 2 pellets. - DR. B 100113 **

__** 9/18/13 **__ Nanodrop results of Elution 3 of Sample A (37degree Celsius incubator)- Trials 1&2 __** 9/18/13 **__ Nanodrop results of Elution 2 of Sample A (37degree Celsius incubator)- Trials 1&2

__** 9/18/13 **__ Nanodrop results of Elution 1 of Sample A (37degree Celsius incubator)- Trial 1 __** 9/18/13 **__ Nanodrop results of Elution 1 of Sample A (37degree Celsius incubator)- Trial 2


 * 9/18/13**
 * Nanodrop result of syringe-filtered, FPLC-purified Tb6pgdh protein (sample A). Concentraion is 0.42mg/ml.**
 * 9/20/13**
 * FPLC results from Sample A (37 degree Celsius shaking incubator).**


 * Sample exploded during FPLC, so there is lots of contamination in this particular sample. However, there is a peak**
 * at the 29-35 mark, which implies that protein was collected. Concentration after nanodrop was .43ng/ul.**
 * 2 ml of elution buffer was used during purification but was immediately transferred through the Ni column.**
 * Note: Let buffer sit in column for few minutes to allow for better concentration results.**
 * Protein Yield table entry of Tb6pgdh sample A. Yield was 0.23mg in 500ml.**

__** Protein Expression (9/10/13-9/11/13) **__


 * Approximately 13 mL of protein suspended in lysis buffer.**
 * Sample of Tb6pgdh in Bl-21(DE3) taken from 10mL sample plate.**


 * Approximately 13 mL of protein suspended in lysis buffer.**
 * Sample of Tb6pgdh in Bl-21(DE3) taken from 50mL sample plate.**


 * 9/9/13 Sample A**
 * Resuspention of centrifuged pellet (4g) into 7 mL of Lysis Buffer. The solution appears cloudy, and was stored in the -80degree Celsius freezer.**
 * (Sample 3 successful clone used).**
 * 9/7/13**
 * Overnight transformation of Tb6pgdh in BL21 (DE3) competent cells. Colonies appeared, so next step will be to move onto protein expression. 2 various volumes of Tb6pgh were taken, 10ml and 50ml. (Sample 3 successful clone used).**
 * 9/4/13**
 * Cloning Tb6pgdh into pNIC-Bsa4 vector. 2 various ratios (1:2 and 1:3) displayed and both showed colonies. Next step would be to mini-prep, RE digest, and send the clones into sequencing.**


 * 9/4/13**
 * Puc19 cloning method by VLG. 4 various ratios utilized however none of the plates displayed white colonies. Only blue (empty) colonies displayed.**

Kavya - good. Include a status update on your expression. Even if no images. Thanks Dr. B 090913
 * Week 1&2--**


 * __Sample 3 FORWARD sent into sequencing for 3rd time (after midi-prep overnight culture of sample 3).__**


 * 9/04/13: Blast nucleotide comparison of DNA sequence of Tb6pgdh and Cloning attempt of Tb6pgdh** **(sample 3 FOR T1 for cloning)** **into pnic-bsa4.**
 * All N's match except the 912th base pair (shown on chromatogram below).**
 * Primer used was plic-for.**




 * 9/04/13: Chromatogram of Sample 3 FOR (T1 of Cloning for Tb6pgdh-after midi-prep overnight culture) - 912th bp**
 * Note: should be a G but is displayed as an A.**
 * Blue = C**
 * Grey = G**
 * Green = A**
 * Red = T**

NNNNNNNNNTNNACTTTAGANGAGANATACATATGCACCATCATCATCATCATTCTTCTG GTGTAGATCTGGGTACCGAGAACCTGTACTTCCAATCCATGTCTATGGACGTTGGTGTAG TTGGCCTGGGTGTTATGGGTGCGAACCTGGCGCTGAATATTGCGGAAAAAGGTTTCAAAG TTGCGGTTTTCAACCGTACCTACTCTAAATCTGAAGAATTTATGAAAGCGAACGCTTCTG CACCGTTTGCGGGCAACCTGAAGGCGTTTGAGACCATGGAAGCATTTGCGGCGTCTCTCA AGAAACCGCGTAAAGCGCTCATTCTGGTACAAGCGGGTGCGGCCACCGACTCTACCATCG AACAGCTCAAAAAAGTATTTGAAAAGGGTGACATCCTGGTCGACACCGGTAACGCGCATT TCAAGGACCAGGGTCGTCGTGCGCAGCAGCTGGAGGCTGCGGGTCTCCGTTTCCTCGGCA TGGGTATTTCTGGTGGTGAAGAAGGTGCGCGTAAGGGTCCGGCGTTCTTCCCGGGTGGTA CCCTGTCTGTATGGGAAGAGATTCGTCCGATCGTTGAAGCTGCCGCTGCGAAAGCGGACG ATGGTCGCCCGTGCGTAACGATGAATGGTTCCGGTGGTGCTGGTTCTTGCGTTAAAATGT ACCACAACAGCGGTGAATACGCGATCCTGCAAATCTGGGGTGAAGTATTCGATATCCTGC GCGCGATGGGCCTGAATAATGACGAAGTAGCCGCGGTTCTGGAAGACTGGAAAAGCAAAA ACTTTCTCAAATCCTATATGCTGGACATCTCCATCGCTGCGGCACGCGCTAAAGACAAGG ACGGCTCCTACCTGACCGAGCACGTGATGGACCGTATCGGTAGCAAANNNACCGGTCTGT GGTCTGNCCAGNAGCGCTGGAAATCGGTGTACCTGCGCCATCCCTGAACANGGCGGTAGT TTCCCGCCAATTCACCATGTACANANCGAACGTCNGGNGAATGCGTCTAACGNTCCNGGT ATCACCCAGTCTNCTGGTTNNNNCCCTGAAAACAANNNNCNTCTGGTCCGGAAATNAANN AANTNNNCGANTCTGNTTGCATTGNNATCATCNNNTNNNNCGCCCNANNNNNNNANNCNG NNNNNNTNNNNANNTNCNNNNTTNNGGCNNNNNNTNCNNNNNNNNNTNNNNNNNTTNNNN NGGNNNNNNNNNNCNNNNTNCNNNCTNNNNNNNTNANNNNNNNNNTTNNNANAANCNAAA NNNNNNNNANNCNCNNNNNNNNNNNNNCNNNNNNANNNNN


 * 9/04/13**
 * Filtered DNA sequence for sample 3 FORWARD (Cloning trial 1) - sample from master plate 2:6 ratio - grew up overnight culture and midi-prepped**
 * Primer used was plic-for.**




 * __Sample 3 REVERSE sent into sequencing for 3rd time (after midi-prep overnight culture of sample 3).__**


 * 9/04/13: Blast nucleotide comparison of DNA sequence of Tb6pgdh and Cloning attempt of Tb6pgdh** **(sample 3 REV T1 for cloning)** **into pnic-bsa4.**
 * All N's match. Primer used was plic-rev.**

NNNNNNNNNNNNNNNNTCTCNGTGGTGGTGGTGGTGGTGCTCGAGTGCGGCCGCAAGCTT GTCGACGGAGCTCGAATTCGGATCCGTATCCACCTTTACTGTTATTGCAGCTCCGGCCAC TGAAAAGATTCGCGGCCATCTTTGTCAACACGTTCGTAACCATGACGACCGAAAACGTCA CGCTGCAGAGAAACGAGCTGGCCATATTTCAGCGTCGGAGTGAACATAGCGGTTACGTAG TTCAGGCTCGCGCTCAGAACTGGGATAGAAACTTCCAGTTTAGAGGTAATCAGAGCAACC ATATCACGATAGTTTTGGAGGCCGGCACGGATCTCAGTTTGGAATGCGCACATGAGGTTA GAGATGTTCGGATTTTTCTCGAATGCCTCCGTCATCGGTTTCAGCAGGTAACCCTGGAGG ATACAGCCCGCACGAAAGGTCGCGATAGTCGCTGGGAGGTTGAGGCCGAAATTGTGAACT TTGTCCATTTCACGCAGGCATTGGAACATTTGGGCGTAGCAAGAGATGATCGCAATGCAA ACAGAGTCGTACAGTTGTTTGATTTCCGGACCAGACGGAGATTTGTTTTTCAGGGTGTAA CCAGGAGACTGGGTGATACCCGGAGCGTTAGACGCATTCGCCTGACGTTCGGTCTTGTAC ATGGTGAATTGGCGGGAAACTACCGCCATGTTCAGGGATGGCGCAGGTACACCGATTTCC AGCGCTTCCTGGGCAGACCACAGACCGGTACCTTTGCTACCGATACGGTCCATCACGTGC TCGGTCAGGTAGGAGCCGTCCTTGTCTTTAGCGCGTGCCGCAGCGATGGAGATGTCCAGC ATATANGATTTGAGAAAGTTTTTGCTTTTCCAGTCTTCCAGAACCGCGGCTACTTCGTCA TTATTCAGGCCCNTCGCGCGCNNGANATCGAATACTTCACCCCAGATTTGCNGGATCGCG TATTCANCNGCTGTTGNNGGTACATTTTAACGCAAGAACCAGCACNANCGGNANNATTCA TCGTTACGCANGGGCGANCATCGTCCGCTTTCGCNNNNNGCAGCTTCACGATCGGACNAN NNNTNCCNNNNNNACAGGGTACCACCCGGNAANAANNNCNNANCNTTANNNGCNNNNTNN NNNNCNNAAATNCCANNNCNNNNNAANGNNNACNNNNNCNNNNCNNNNNNNNNNNNNNNN NNNCNGGNNNNNANGGNNCNNTTNNNNGGNNNNNNNACNNNNNNNNCNNNNNANNNNTTT NNNNNTNNNANNNNNNNNNNNCNNNGNGNNNNNNNCNNNNNNNNNNNNNNNCNNNN


 * 9/04/13**
 * Filtered DNA sequence for sample 3 Reverse (Cloning trial 1) - sample from master plate 2:6 ratio - grew up overnight culture and midi-prepped**
 * Primer used was plic-rev.**


 * __Sample 3 FORWARD sent into sequencing for 2nd time.__**


 * 9/02/13: Blast nucleotide comparison of DNA sequence of Tb6pgdh and Cloning attempt of Tb6pgdh** **(sample 3 FOR T1 for cloning)** **into pnic-bsa4.**
 * Primer was forward designed primer for Tb6pgdh.**

NNNNNNNNNGTTANGGGTGCGANCTGGCGCTGAATATTGCGGAAAAAGGTTTCAAAGTTG CGGTTTTCAACCGTACCTACTCTAAATCTGAAGAATTTATGAAAGCGAACGCTTCTGCAC CGTTTGCGGGCAACCTGAAGGCGTTTGAGACCATGGAAGCATTTGCGGCGTCTCTCAAGA AACCGCGTAAAGCGCTCATTCTGGTACAAGCGGGTGCGGCCACCGACTCTACCATCGAAC AGCTCAAAAAAGTATTTGAAAAGGGTGACATCCTGGTCGACACCGGTAACGCGCATTTCA AGGACCAGGGTCGTCGTGCGCAGCAGCTGGAGGCTGCGGGTCTCCGTTTCCTCGGCATGG GTATTTCTGGTGGTGAAGAAGGTGCGCGTAAGGGTCCGGCGTTCTTCCCGGGTGGTACCC TGTCTGTATGGGAAGAGATTCGTCCGATCGTTGAAGCTGCCGCTGCGAAAGCGGACGATG GTCGCCCGTGCGTAACGATGAATGGTTCCGGTGGTGCTGGTTCTTGCGTTAAAATGTACC ACAACAGCGGTGAATACGCGATCCTGCAAATCTGGGGTGAAGTATTCGATATCCTGCGCG CGATGGGCCTGAATAATGACGAAGTAGCCGCGGTTCTGGAAGACTGGAAAAGCAAAAACT TTCTCAAATCCTATATGCTGGACATCTCCATCGCTGCGGCACGCGCTAAAGACAAGGACG GCTCCTACCTGACCGAGCACGTGATGGACCGTATCGGTAGCAAAGGTACCGGTCTGTGGT CTGCCCAGGAAGCGCTGGAAATCGGTGTACCTGCGCCATCCCTGAACATGGCGGTAGTTT CCCGCCNATTCACCATGTACAAGACCGAACGTCNNNGAATGCGTCTAACGCTCCGGGTAT CACCCAGTCTCCTGGTTACACCCTGAAAAACAAATCTCCGTCTGGTCCGGAAATCAACAA CTGTACNACTCTGTTTGCATTGCGATCATCTCTNGCTACGCCCAAATGNTCCAATGNCTG CGTGAAATGGNNAAAGTTCANNATTTCGNCNTCNNCNCCNGCGACTATCNNNANNTTCNN GCGGGNTGNATNCNNCNNNNNNCTGNNGAAANNATGANGNAGNATTCNANAAAATCCNAA CATNNNNNANNNCANNNNNNNCNNTNNNNANCNGNNNNNCNNNNNNNNNNNNNNTCNNNG ANNNGNNGNNNGANNNNNNNNANNNNNNNNNTNNNNNCCNNNNNNNNNNCNNNNNNNCCN NNANNNNNNNNNNNNNNNNNNN
 * 9/02/13**
 * Filtered DNA sequence for sample 3 Forward (Cloning trial 1) - same sample as 8/29/13 - just sent in for sequencing again.**
 * Primers used were designed primer for Tb6pgdh instead of plic-for.**




 * __Sample 3 REVERSE sent into sequencing for 2nd time.__**


 * 9/02/13: Blast nucleotide comparison of DNA sequence of Tb6pgdh and Cloning attempt of Tb6pgdh** **(sample 3 REV T1 for cloning)** **into pnic-bsa4.**
 * Primer was reverse designed primer for Tb6pgdh.**
 * All N's match properly however 876th N has a mismatch. Also, 876th base pair is different on chromatogram (shown below).**




 * 9/02/13: Chromatogram of Sample 3 REV (T1 of Cloning for Tb6pgdh) - 876th bp**
 * Note: deletion displayed on 877th bp on chromatogram but N is on the 878 bp.**
 * Blue = C**
 * Grey = G**
 * Green = A**
 * Red = T**

NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNGCGGCCNTCTTTGTCACACGTTCGTAAC CATGACGACCGAAAACGTCACGCTGCAGAGAAACGAGCTGGCCATATTTCAGCGTCGGAG TGAACATAGCGGTTACGTAGTTCAGGCTCGCGCTCAGAACTGGGATAGAAACTTCCAGTT TAGAGGTAATCAGAGCAACCATATCACGATAGTTTTGGAGGCCGGCACGGATCTCAGTTT GGAATGCGCACATGAGGTTAGAGATGTTCGGATTTTTCTCGAATGCCTCCGTCATCGGTT TCAGCAGGTAACCCTGGAGGATACAGCCCGCACGAAAGGTCGCGATAGTCGCTGGGAGGT TGAGGCCGAAATTGTGAACTTTGTCCATTTCACGCAGGCATTGGAACATTTGGGCGTAGC AAGAGATGATCGCAATGCAAACAGAGTCGTACAGTTGTTTGATTTCCGGACCAGACGGAG ATTTGTTTTTCAGGGTGTAACCAGGAGACTGGGTGATACCCGGAGCGTTAGACGCATTCG CCTGACGTTCGGTCTTGTACATGGTGAATTGGCGGGAAACTACCGCCATGTTCAGGGATG GCGCAGGTACACCGATTTCCAGCGCTTCCTGGGCAGACCACAGACCGGTACCTTTGCTAC CGATACGGTCCATCACGTGCTCGGTCAGGTAGGAGCCGTCCTTGTCTTTAGCGCGTGCCG CAGCGATGGAGATGTCCAGCATATAGGATTTGAGAAAGTTTTTGCTTTTCCAGTCTTCCA GAACCGCGGCTACTTCGTCATTATTCAGGCCCATCGCGCGCAGGATATCGAATACTTCAC CCCAGATTTGCAGGATCGCGTATTCACCGCTGTTGTGGTACATTTTAACGCAAGANCAGC ACCACCGGAACCATTCATCGTTACGCACGGGCGANCATCGTCCGCTTTCGCAGCGGCAGC TTCAACGATCGGACNANCTCNTNCCATACNGACNGGGNACNACCCNGNANACNCNGANCN TNCGCNCNCNNTNNCNNNGAAATACCNTGCNAGAACGANNCCNCANCTCAGCTGCTGCNN NNNACGACCTNNNTGAATGNNNTNCNNNNNCNANNNNNGNNNCCNTTNANNNNTTTTNNN NNTCNANGNNNNNNNGNGCNNNNNNNNTNNNNNANNGNNNNNNNNNNNNTNNTNNNNNNN NNNNNNNTNCNNGNNNNNNNNTNNGNTNCNNNNNGNNNNNNNNNNNNNNNNNNNNNNNNN NNTNNNNNNNN
 * 9/02/13**
 * Filtered DNA sequence for sample 3 Reverse (Cloning trial 1) - same sample as 8/29/13 - just sent in for seqencing again.**
 * Primers used were designed primer for Tb6pgdh instead of plic-rev.**


 * 8/29/13: Blast nucleotide comparison of DNA sequence of Tb6pgdh and Cloning attempt of Tb6pgdh (sample 3 FOR T1 for cloning) into pnic-bsa4.**
 * All N's match properly however there is a deletion on the 844th bp. - think it is ok?**

NNNNNNNNNNNNNNNTNNTNNGANGAGANATACATATGCACCNTCATCATCATCATTCTT CTGGTGTAGATCTGGGTACCGAGAACCTGTACTTCCAATCCATGTCTATGGACGTTGGTG TAGTTGGCCTGGGTGTTATGGGTGCGAACCTGGCGCTGAATATTGCGGAAAAAGGTTTCA AAGTTGCGGTTTTCAACCGTACCTACTCTAAATCTGAAGAATTTATGAAAGCGAACGCTT CTGCACCGTTTGCGGGCAACCTGAAGGCGTTTGAGACCATGGAAGCATTTGCGGCGTCTC TCAAGAAACCGCGTAAAGCGCTCATTCTGGTACAAGCGGGTGCGGCCACCGACTCTACCA TCGAACAGCTCAAAAAAGTATTTGAAAAGGGTGACATCCTGGTCGACACCGGTAACGCGC ATTTCAAGGACCAGGGTCGTCGTGCGCAGCAGCTGGAGGCTGCGGGTCTCCGTTTCCTCG GCATGGGTATTTCTGGTGGTGAAGAAGGTGCGCGTAAGGGTCCGGCGTTCTTCCCGGGTG GTACCCTGTCTGTATGGGAAGAGATTCNTCCGATCGTTGAAGCTGCCGCTGCGAAAGCGG ACGATGGTCGCCCGTGCGTAACGATGAATGGTTCCGGTGGTGCTGGTTCTTGCGTTAAAA TGTACCACAACAGCGGTGAATACGCGATCCTGCAAATCTGGGGTGAAGTATTCGATATCC TGCGCGCGATGGGCCTGAATAATGACNAAGTANCCGCGGTTCTGGAAGANTGGAAAAGCA AAAANNTTCTNNAATCCTATATGCTGGACATCTNCATCNCTGCGGCACNCGCTAAAGACA AGACGGCTCCTACCTGANCGAGCACGTGATGGACCGTATCGGTAGCAAAGGTACCGGTCT GTGGTCTGNCCNNGAAGCNCNGNAATCNGTGTACCNGNNNCNTCCCTGANNTGGNNGTAG TTNNNCGNCNNTTCNNCATGTACAGACNAANNTNNNNNAATGCNTNNANNNCTCCNGGNA TNNCCCNNTCNCNGGTTANNNCNNGAAAAANNNNNNNCNNNNNNNNNNAATCAANNANNN NNNCNANNTNNTNGNNTGNNNTCATNNNTNNTACGNNNNNNNNNNNNNNNNGNNNNAANG NNNAANNTNNNNNNNNNNNNNNCNNCNNNNNNNNNNNANNNNNNGNNNNNNNNCNGGNTN CNGCNNANNNNGANNNNN
 * 8/29/13**
 * Filtered DNA sequence for sample 3 FOR (Cloning trial 1)**


 * 8/29/13: Blast nucleotide comparison of DNA sequence of Tb6pgdh and Cloning attempt of Tb6pgdh** **(sample 3 REV T1 for cloning)** **into pnic-bsa4.**
 * All N's match properly however slightly doubtful on 705 and 766 bp. (Chromatograms displayed below). - think it is ok?**
 * 8/29/13: Chromatogram of Sample 3 REV (T1 of Cloning for Tb6pgdh) - 705th bp**
 * Note: Should be a G.**
 * Blue = C**
 * Grey = G**
 * Green = A**
 * Red = T**


 * 8/29/13: Chromatogram of Sample 3 REV (T1 of Cloning for Tb6pgdh) - 766th bp**
 * Note: Should be a G.**
 * Blue = C**
 * Grey = G**
 * Green = A**
 * Red = T**

ATGTCTATGGACGTTGGTGTAGTTGGCCTGGGTGTTATGGGTGCGAACCTGGCGCTGAAT ATTGCGGAAAAAGGTTTCAAAGTTGCGGTTTTCAACCGTACCTACTCTAAATCTGAAGAA TTTATGAAAGCGAACGCTTCTGCACCGTTTGCGGGCAACCTGAAGGCGTTTGAGACCATG GAAGCATTTGCGGCGTCTCTCAAGAAACCGCGTAAAGCGCTCATTCTGGTACAAGCGGGT GCGGCCACCGACTCTACCATCGAACAGCTCAAAAAAGTATTTGAAAAGGGTGACATCCTG GTCGACACCGGTAACGCGCATTTCAAGGACCAGGGTCGTCGTGCGCAGCAGCTGGAGGCT GCGGGTCTCCGTTTCCTCGGCATGGGTATTTCTGGTGGTGAAGAAGGTGCGCGTAAGGGT CCGGCGTTCTTCCCGGGTGGTACCCTGTCTGTATGGGAAGAGATTCGTCCGATCGTTGAA GCTGCCGCTGCGAAAGCGGACGATGGTCGCCCGTGCGTAACGATGAATGGTTCCGGTGGT GCTGGTTCTTGCGTTAAAATGTACCACAACAGCGGTGAATACGCGATCCTGCAAATCTGG GGTGAAGTATTCGATATCCTGCGCGCGATGGGCCTGAATAATGACGAAGTAGCCGCGGTT CTGGAAGACTGGAAAAGCAAAAACTTTCTCAAATCCTATATGCTGGACATCTCCATCGCT GCGGCACGCGCTAAAGACAAGGACGGCTCCTACCTGACCGAGCACGTGATGGACCGTATC GGTAGCAAAGGTACCGGTCTGTGGTCTGCCCAGGAAGCGCTGGAAATCGGTGTACCTGCG CCATCCCTGAACATGGCGGTAGTTTCCCGCCAATTCACCATGTACAAGACCGAACGTCAG GCGAATGCGTCTAACGCTCCGGGTATCACCCAGTCTCCTGGTTACACCCTGAAAAACAAA TCTCCGTCTGGTCCGGAAATCAAACAACTGTACGACTCTGTTTGCATTGCGATCATCTCT TGCTACGCCCAAATGTTCCAATGCCTGCGTGAAATGGACAAAGTTCACAATTTCGGCCTC AACCTCCCAGCGACTATCGCGACCTTTCGTGCGGGCTGTATCCTCCAGGGTTACCTGCTG AAACCGATGACGGAGGCATTCGAGAAAAATCCGAACATCTCTAACCTCATGTGCGCATTC CAAACTGAGATCCGTGCCGGCCTCCAAAACTATCGTGATATGGTTGCTCTGATTACCTCT AAACTGGAAGTTTCTATCCCAGTTCTGAGCGCGAGCCTGAACTACGTAACCGCTATGTTC ACTCCGACGCTGAAATATGGCCAGCTCGTTTCTCTGCAGCGTGACGTTTTCGGTCGTCAT GGTTACGAACGTGTTGACAAAGATGGCCGCGAATCTTTTCAGTGGCCGGAGCTGCAATAA


 * 8/29/13**
 * Filtered DNA sequence from DNA outworks for Tb6pgdh**

NNNNNNNNNNNNNNNTCTCNNTGGTGGTGGTGGTGNTGCTCGAGTGCGGCCGCAAGCTTG TCGACGGAGCTCGAATTCGGATCCGTATCCACCTTTACTGTTATTGCAGCTCCGGCCACT GAAAAGATTCGCGGCCATCTTTGTCAACACGTTCGTAACCATGACGACCGAAAACGTCAC GCTGCAGAGAAACGAGCTGGCCATATTTCAGCGTCGGAGTGAACATAGCGGTTACGTAGT TCAGGCTCGCGCTCAGAACTGGGATAGAAACTTNCAGTTTAGAGGTAATCAGAGCAACCA TATCACGATAGTTTTGGAGGCCGGCACGGATCTCAGTTTGGAATGCGCACATGAGGTTAG AGATGTTCGGATTTTTCTCGAATGCCTCCGTCATCGGTTTCAGCAGGTAACCCTGGAGGA TACAGCCCGCACGAAAGGTCGCGATAGTCGCTGGGAGGTTGAGGCCGAAATTGTGAACTT TGTCCATTTCACGCAGGCATTGGAACATTTGGGCGTAGCAAGAGATGATCGCAATGCAAA CAGAGTCNTACAGTTGTTTGATTTCCGGACCAGACGGAGATTTGTTTTTCAGGGTGTAAC CAGGAGACTGGGTGATACCCGGAGCGTTAGACGCATTCGCCTGACGTTCGGTCTTGTACA TGGTGAATTGGCGGGAAACTACCGCCATGTTCAGGGATGGCGCNNNTACACCGATTTCCA GCGCTTCCTGGGCAGACCACAGACCGGTACCTTTGCTACCGATACNGTCCATCNCGTGCT CNGTCNGGTAGGAGCCGTCCTTGTCTTTAGCGCGTGCCGCAGCGATGGAGATGTCCAGCN TATAGNANTTGAGAAAGTTTTTGNNTTTCCNGTCNTCCAGANNCNCGGNTANNTCGTCAT TANTTCNNGCNCNTCGNGCGNNNGATATCGAATACTTCANCNNNNNATTTGCNGGATCNN GTATTCNNNNNTGTTGNNGTACNTTTTNANNNNAGAANCNGCATCNNNCNGNAANNNTTC NTCNNTACNNNNGGNNNANNTNNTCNCTTNNNANNNGNAGCNTCNNNATCGNNNANNNCN TNCCNNNNNNANNGGGNNCNNNNCNGNNNNNNNNNGNNCNNNANNNNCNNNCNTNNTNNN NNNNNNNCCNTNNNNNNNNNNGNNANCNNNNNNNNNNNNNTGNNNNNANNNNNNNNNCTN NANNNNCNNNNNNNNNNNNNCCNNNNNNNNCNNNTTTNNNNNNNN
 * 8/29/13**
 * Filtered DNA sequence for sample 3 Reverse (Cloning trial 1)**


 * Nanodrop spectrometer readings of MiniPrep result of Tb6pgdh in pNic. DNA extracted from plate with 2:4 vector to insert ratio.**




 * Sample 3: 67.85 ng/u**


 * WEEK 8--**


 * VLG KK 7/24/13**
 * PCR Clean-Up of PCR2 with Forward and Reverse Tail Primers –VLG Trial 1**


 * VLG KK 7/24/13**
 * PCR Clean-Up of PCR2 with Forward and Reverse Tail Primers –VLG Trial 2**


 * VLG KK 7/24/13**
 * PCR Clean-Up of PCR2 with Forward and Reverse Tail Primers –KK Trial 2**


 * VLG KK 7/24/13**
 * PCR Clean-Up of PCR2 with Forward and Reverse Tail Primers –KK Trial 1**


 * VLG KK 7/24/13**
 * PCR Clean- Cut pNIC-BSa4with BsaI-HF–KK Trial 2**
 * VLG KK 7/24/13**
 * PCR Clean- Cut pNIC-BSa4with BsaI-HF–KK Trial 1**


 * VDS VLG KK JP 7/24/13**
 * Lane 1: 1KB Ladder**
 * Lane 2: Cut pNIC-Bsa4**
 * Lane 3-10 Jason Pang Secondary OL**


 * Lane 1: 1kb DNA ladder**
 * __Lanes 2-3 are PCR2, extended annealing and extension times, first and last__**
 * __oligo mix, 2° PCR from 7/19 (tube 8)__**
 * Lane 2: Annealing 60.3°C**
 * Lane 3: Annealing 58°C**
 * __Lanes 4-10 are 2° PCR, extended annealing and extension times, with__**
 * __designed tail primers (7/18), 1____° PCR made 7/19 (tube 3) with 7/2__**
 * __oligo mix, gradient annealing temp.__**
 * Lane 4: Annealing 66°C**
 * Lane 5: Annealing 65.6°C**
 * Lane 6: Annealing 64.7°C**
 * Lane 7: Annealing 63.1°C**
 * Lane 8: Annealing 61.2°C**
 * Lane 9: Annealing 59.6°C**
 * Lane 10: Annealing 58.5°C**


 * Lane 1: 100bp DNA ladder**
 * Lanes 2-9 are JIE’s**
 * Lane 10: Annealing 58°C**


 * VDS VLG KK**
 * Lane 1-4 Jason P. – Primary**
 * Lane 5: 1KB Ladder**
 * Lane 6: PCR2 with sample 4 (secondary) @64****°C with forward and reverse tail primers **
 * Lane 7: PCR2 with sample 4 (secondary) @64****°C with forward and reverse tail primers **


 * VDS VLG and KK 07/20/13**
 * Secondary PCR with first and last overlapping primers**
 * Lane 1: 1 kb DNA ladder**
 * Lane 2: Sample A - Annealing 64°C**
 * Lane 3: Sample B - Annealing 63.6.4°C**
 * Lane 4: Sample C - Annealing 62.7°C**
 * Lane 5: Sample D - Annealing 61.1°C**
 * Lane 6: Sample E - Annealing 59.2°C**
 * Lane 7: Sample F - Annealing 57.6°C**
 * Lane 8: Sample G - Annealing 56.5°C**
 * Lane 9: Sample H - Annealing 56°C**


 * Notes: Contamination present with 2 upper bands. Could proceed to Gel extraction, however Dr. B. recommends proceeding with PCR^2.**


 * 07/19/13**
 * Lane 1: 1 kb DNA ladder**
 * Lane 2: Annealing 77°C**
 * Lane 3: Annealing 76.4°C**
 * Lane 4: Annealing 75.1°C**
 * Lane 5: Annealing 73.3°C**
 * Lane 6: Annealing 71°C**
 * Lane 7: Annealing 69.4°C**
 * Lane 8: Annealing 68°C**
 * Lane 9: Annealing 67°C**


 * WEEK 7--**




 * VDS VLG and KK 07/19/13**
 * Secondary PCR with first and last overlapping primers.**
 * Lane 1: 1 kb DNA ladder**
 * Lane 2: Annealing 77°C**
 * Lane 3: Annealing 76.4°C**
 * Lane 4: Annealing 75.1°C**
 * Lane 5: Annealing 73.3°C**
 * Lane 6: Annealing 71°C**
 * Lane 7: Annealing 69.4°C**
 * Lane 8: Annealing 68°C**
 * Lane 9: Annealing 67°C --- Could go possibly lower. Annealing**
 * Temp for Overlap Primers is 61°C.**


 * VDS VLG and KK 07/19/13**
 * Secondary PCR with designed FOR and REV primers**
 * Lane 1: 1 kb DNA ladder**
 * Lane 2: Annealing 77°C**
 * Lane 3: Annealing 76.4°C**
 * Lane 4: Annealing 75.1°C**
 * Lane 5: Annealing 73.3°C**
 * Lane 6: Annealing 71°C**
 * Lane 7: Annealing 69.4°C**
 * Lane 8: Annealing 68°C**
 * Lane 9: Annealing 67°C**

**__PC__**__**R Squared** **and secondary PCR of Tb6pgdh**__

 * 07/18/13**
 * Lanes 1-6 are VLG’s**
 * Lane 1: 100 bp DNA ladder**
 * Lane 2: 1kb DNA ladder**
 * Lane 3: skipped**
 * Lane 4: PCR2 result (made 7/17)**
 * Lane 5: Secondary PCR (new primers, made 7/18)**
 * Lane 6: skipped**
 * Lanes 7-12 are VLG’s**
 * Lane 7: 100 bp DNA ladder**
 * Lane 8: 1kb DNA ladder**
 * Lane 9: skipped**
 * Lane 10: PCR2 result (made 7/17)**
 * Lane 11: skipped**
 * Lane 12: Secondary PCR (new primers, made 7/18)**

Kavya - yeah the primer-dimer thing only shows up in this gel. It just may be an isolated issue and not a systemic problem. Keep working at it. You guys will get it soon. -Dr. B 0071713
 * WEEK 6---**
 * VDS KK and VLG PCR2 of Tb6pgdh 07/17/13**
 * Lane 1: 1kb Ladder**
 * Lane 2:** **<span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">Secondary PCR sample A2 (59 ****<span style="color: #444444; font-family: Arial,sans-serif; font-size: 11pt;">° ****<span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">C Annealing Temp) **
 * <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">Lane 3: ****<span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">Secondary PCR sample C2 (57.8 ****<span style="color: #444444; font-family: Arial,sans-serif; font-size: 10.5pt;">° ****<span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">C Annealing Temp) **
 * <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">Notes: Primer Dimer formed. Primer not used up in reaction and clustered towards bottom. **
 * <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">Maybe reduce amount of primer used for next PCR. **


 * 7/17/13 Secondary Overlap PCR Re-Run previous OL PCR**
 * Lane 1: 1kb Ladder**
 * Lane 2:<span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">Secondary PCR sample (58 <span style="color: #444444; font-family: Arial,sans-serif; font-size: 10.5pt;">° <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">C Annealing Temp) **
 * Lane 3: <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">Secondary PCR sample (51 <span style="color: #444444; font-family: Arial,sans-serif; font-size: 11pt;">° <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">C Annealing Temp) **
 * Lane 4:<span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">Secondary PCR sample (58 <span style="color: #444444; font-family: Arial,sans-serif; font-size: 10.5pt;">° <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10.5pt;">C Annealing Temp)-VLG **
 * Lane 5: <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10pt;">Secondary PCR sample (51 <span style="color: #444444; font-family: Arial,sans-serif; font-size: 10pt;">° <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 10pt;">C Annealing Temp)-VLG **
 * Lane 6:<span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">Secondary PCR sample B2 (58.6 <span style="color: #444444; font-family: Arial,sans-serif; font-size: 11pt;">° <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">C Annealing Temp) **
 * <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">Lane 7:Secondary PCR sample G1 (52.5 <span style="color: #444444; font-family: Arial,sans-serif; font-size: 11pt;">° <span style="background-color: #ffffff; font-family: Arial,sans-serif; font-size: 11pt;">C Annealing Temp) **


 * Week 5-**




 * 7/12/13: DNA Sequencing results for pNIC-BSa4 with primer PLIC-FOR.**
 * 1 insertion/deletion displayed, but still okay to clone.**
 * Successful DNA Isolation**




 * VDS VLG and KK Overlap PCR for Tb6pgdh (7/9/13) (Black Settings)**
 * Lane 1: 1kb DNA ladder**
 * Lane 2: Secondary PCR sample with tail primers (A1 & C12) (67.2****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**

**__Secondary PCR for Tb6pgdh, Altering tail/overlap primers and concentration of template and polymerase__**

 * 07/13/13**
 * Note: "Protocol 1" is standard PCR settings, "Protocol 2" is NEB/Q5 recommended settings***
 * Lane 1: 1 kb DNA ladder**
 * Lane 2: Protocol 1, FOR/last overlap**
 * Lane 3: Protocol 1, first overlap/REV**
 * Lane 4: Protocol 2, FOR/last overlap**
 * Lane 5: Protocol 2, first overlap/REV**
 * Lane 6: Protocol 1, FOR/REV, more template and polymerase**
 * Lane 7: Protocol 2, FOR/REV, more template and polymerase**

__** Secondary PCR for Tb6pgdh, Gradient annealing temperature (deg C) (third attempt) **__
 * Lane 1: 1kb DNA ladder**
 * Lane 2: Sample B1 (63 deg)**
 * Lane 3: Sample B2 (62.6 deg)**
 * Lane 4: Sample B3 (61.7 deg)**
 * Lane 5: Sample B4 (60.1 deg)**
 * Lane 6: Sample B5 (58.28 deg)**
 * Lane 7: Sample B6 (56.6 deg)**
 * Lane 8: Sample B7 (55.5 deg)**
 * Lane 9: Sample B8 (55 deg)**

__** Secondary PCR for Tb6pgdh, Gradient annealing temperature (deg C) (second attempt) **__

 * Lane 1: 1kb DNA ladder**
 * Lane 2: Sample A1 (72 deg)**
 * Lane 3: Sample A2 (71.6 deg)**
 * Lane 4: Sample A3 (70.7 deg)**
 * Lane 5: Sample A4 (69.1 deg)**
 * Lane 6: Sample A5 (67.2 deg)**
 * Lane 7: Sample A6 (65.6 deg)**
 * Lane 8: Sample A7 (64.6 deg)**
 * Lane 9: Sample A8 (64 deg)**




 * VDS VLG and KK Overlap PCR for Tb6pgdh (7/12/13)**
 * (Black Settings)**
 * Lane 1: 1kb DNA ladder**
 * Lane 2: Secondary PCR sample H2 (64****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 3: Secondary PCR sample G2 (65.2****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 4: Secondary PCR sample F2 (66.8****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 5: Secondary PCR sample E2 (68.8****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 6: Secondary PCR sample D2 (71.5****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 7: Secondary PCR sample C2 (73.7****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 8: Secondary PCR sample B2 (75.2****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**


 * VDS VLG Secondary overlap PCR of Tb6pgdh 07/12/13**
 * (Black Settings)**
 * Lane 1: 1kb DNA ladder**
 * Lane 9: Secondary PCR sample H2 (52****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 8: Secondary PCR sample G2 (52.5****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 7: Secondary PCR sample F2 (53.4****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 6: Secondary PCR sample E2 (54.8****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 5: Secondary PCR sample D2 (56.5****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 4: Secondary PCR sample C2 (57.8****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 3: Secondary PCR sample B2 (58.6****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**
 * Lane 2: Secondary PCR sample A2 (59****<span style="color: #444444; font-family: Arial,sans-serif;">° C Annealing Temp)**




 * VDS VLG and KK Overlap PCR for Tb6pgdh**
 * Lane 1: 1kb DNA ladder**
 * Lane 2: Primary PCR sample (from 7/6/13; used up and discarded)**
 * Lane 3: Primary PCR sample (from 7/10/13; with oligo mix made 7/10/13)**
 * Lane 4: Secondary PCR sample (from 7/8/13; power outage while in PCR machine) (orange settings)**
 * Lane 5: Secondary PCR sample (7/9/13; replacement sample after discovering power outage)**


 * VDS VLG and KK Overlap PCR for Tb6pgdh**
 * Lanes 1-5 are VLG’s**
 * Lane 1: 1kb DNA ladder**
 * Lane 2: Primary PCR (made 7/10/13 with power outage)**
 * Lane 3: Primary PCR (made 7/10/13)**
 * Lane 4: Secondary PCR (made 7/10/13 with designed FOR and REV tail primers)**
 * Lane 5: Secondary PCR (made 7/10/13 with first and last overlap primers as tail primers)**
 * Lanes 6-10 are KK’s**
 * Lane 6: 1kb DNA ladder**
 * Lane 7: Primary PCR (made 7/10/13 with power outage)**
 * Lane 8: Primary PCR (made 7/10/13)**
 * Lane 9: Secondary PCR (made 7/11/13 with designed FOR and REV tail primers)**
 * Lane 10: Secondary PCR (made 7/11/13 with first and last overlap primers as tail primers)**


 * Figure 4: Left Side of Gel: Kavya Kolavasi, Overlap PCR, (7/3/13)**
 * Target = 6-phosphogluconate dehydrogenase**
 * Organism = Trypanosoma brucei**
 * Right Side of Gel: Serena Zadoo, Restriction Enzyme Digest, (7/3/13)**
 * Lane 1:SKIP (Total size of gene = 1440nt)**
 * Lane 2:1 KB Ladder**
 * Lane 3: Primary Overlap (smear)**
 * Lane 4: SKIP**
 * Lane 5: Secondary Overlap (with first and last wells of oligo nucleotide bp)**
 * Lane 6: SKIP**
 * Lane 7: 1 KB Ladder**
 * Lane 8: Uncut PGBR22 Ladder**
 * Lane 9: EcoRI**
 * Lane 10: PvuII**
 * Lane 11: EcoRI+PvuII **
 * Lane 12: SKIP**


 * Figure 3: Custom Digest for EcorI and PuvII gel results (NEB Cutter). Results respectively match figure below.**


 * Figure 2:**** (7/3/13) - RE Digest **
 * Lane 1: 1kb Ladder**
 * Lane 2: Uncut PGBR22 Plasmid (1:10 dilution of 205 ug/)ml**
 * Lane 3: EcorI**
 * Lane 4: PuvII**
 * Lane 5: EcorI & PuvII**


 * Figure 1: (6/28/13) - RE Digest (lanes 1-5)/pLIC (lanes 6-10)**
 * Lane 1: 1kb Ladder**
 * Lane 2: Uncut Plasmid (1:10 dilution of 180 ug/)ml**
 * Lane 3: EcorI**
 * Lane 4: PuvII**
 * Lane 5: EcorI & PuvII**
 * Lane 6: 100bp ladder**
 * Lane 7: 1:1000 template DNA, 1ul TAC**
 * Lane 8: 1:100 template DNA, 1ul TAC**
 * Lane 9: 1:10 template DNA, 1ul TAC**
 * Lane 10: Control (No DNA)**


 * Analysis: the RE Digest displayed 3 cuts in the uncut plasmid, implying contamination of the original plasmid.**
 * pLIC did not show the largest amount of DNA in lane 9, which should have the largest amount of DNA. Also slight contamination in the control lane.**

<span style="background-color: #ffffff; font-family: courier,sans-serif; font-size: medium;">NNNNNNNNNNNNNNGNNNNCTCNNGAGTCGACCTGCAGGCATGCAAGCTTGGCGTAATCA TGGTCATAGCTGTTTCCTGTGTGAAATTGTTATCCGCTCACAATTCCACACAACATACGA GCCGGAAGCATAAAGTGTAAAGCCTGGGGTGCCTAATGAGTGAGCTAACTCACATTAATT GCGTTGCGCTCACTGCCCGCTTTCCAGTCGGGAAACCTGTCGTGCCAGCTGCATTAATGA ATCGGCCAACGCGCGGGGAGAGGCGGTTTGCGTATTGGGCGCTCTTCCGCTTCCTCGCTC ACTGACTCGCTGCGCTCGGTCGTTCGGCTGCGGCGAGCGGTATCAGCTCACTCAAAGGCG GTAATACGGTTATCCACAGAATCAGGGGATAACGCAGGAAAGAACATGTGAGCAAAAGGC CAGCAAAAGGCCAGGAACCGTAAAAAGGCCGCGTTGCTGGCGTTTTTCCATANGCTCCGC CCCCCTGACNAGCATCACAAAAATCNACGCTCAAGTCACAGGTGGCGAAACCCTANNTGA CTCTNNNNATACNANNCGNNNNCNCCTGGAANNCACNCTCGNGNNNTCTCCTNNTCCNAN NNTGCNNCNNNCCAGANNCNNNNNNNCNTGTNCNTNNCTNNGGNAAGCNNNNNNNNTTCG <span style="background-color: #ffffff; font-family: courier,sans-serif; font-size: medium;"> NGTNGNTNNNCTNGNNNNNGNTNANNN
 * WEEK 3/4-**

<span style="background-color: #ffffff; color: #222222; display: block; font-family: arial,sans-serif;"> Cloning vector pUC19c, complete sequence Sequence ID: gb|L09137.2|SYNPUC19CV  Length: 2686 Number of Matches: 1 <span style="background-color: #ffffff; color: #222222; display: block; font-family: Verdana,sans-serif; font-size: 11px;"> Related Information GEO Profiles - microarray expression data <span style="background-color: #ffffff; color: #222222; display: block; font-family: arial,sans-serif;"> <span style="display: block; font-family: Verdana,sans-serif; font-size: 11px;"> Range 1: 427 to 935  GenBankRefseq%20Alignments|Gnomon%20Alignments|Unnamed,shown:false]&v=402:960&appname=ncbiblast&link_loc=fromHSP|Graphics  Alignment statistics for match #1 ||~ Score code Query 25   GAGTCGACCTGCAGGCATGCAAGCTTGGCGTAATCATGGTCATAGCTGTTTCCTGTGTGA  84 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 427  GAGTCGACCTGCAGGCATGCAAGCTTGGCGTAATCATGGTCATAGCTGTTTCCTGTGTGA  486
 * ~ Expect ||~ Identities ||~ Gaps ||~ Strand ||
 * 924 bits(500) || 0.0 || 505/509(99%) || 0/509(0%) || Plus/Plus ||

Query 85   AATTGTTATCCGCTCACAATTCCACACAACATACGAGCCGGAAGCATAAAGTGTAAAGCC  144 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 487  AATTGTTATCCGCTCACAATTCCACACAACATACGAGCCGGAAGCATAAAGTGTAAAGCC  546

Query 145  TGGGGTGCCTAATGAGTGAGCTAACTCACATTAATTGCGTTGCGCTCACTGCCCGCTTTC  204 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 547  TGGGGTGCCTAATGAGTGAGCTAACTCACATTAATTGCGTTGCGCTCACTGCCCGCTTTC  606

Query 205  CAGTCGGGAAACCTGTCGTGCCAGCTGCATTAATGAATCGGCCAACGCGCGGGGAGAGGC  264 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 607  CAGTCGGGAAACCTGTCGTGCCAGCTGCATTAATGAATCGGCCAACGCGCGGGGAGAGGC  666

Query 265  GGTTTGCGTATTGGGCGCTCTTCCGCTTCCTCGCTCACTGACTCGCTGCGCTCGGTCGTT  324 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 667  GGTTTGCGTATTGGGCGCTCTTCCGCTTCCTCGCTCACTGACTCGCTGCGCTCGGTCGTT  726

Query 325  CGGCTGCGGCGAGCGGTATCAGCTCACTCAAAGGCGGTAATACGGTTATCCACAGAATCA  384 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 727  CGGCTGCGGCGAGCGGTATCAGCTCACTCAAAGGCGGTAATACGGTTATCCACAGAATCA  786

Query 385  GGGGATAACGCAGGAAAGAACATGTGAGCAAAAGGCCAGCAAAAGGCCAGGAACCGTAAA  444 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 787  GGGGATAACGCAGGAAAGAACATGTGAGCAAAAGGCCAGCAAAAGGCCAGGAACCGTAAA  846

Query 445  AAGGCCGCGTTGCTGGCGTTTTTCCATANGCTCCGCCCCCCTGACNAGCATCACAAAAAT  504 |||||||||||||||||||||||||||| |||||||||||||||| |||||||||||||| Sbjct 847  AAGGCCGCGTTGCTGGCGTTTTTCCATAGGCTCCGCCCCCCTGACGAGCATCACAAAAAT  906

Query 505  CNACGCTCAAGTCACAGGTGGCGAAACCC  533 | |||||||||||| |||||||||||||| Sbjct 907  CGACGCTCAAGTCAGAGGTGGCGAAACCC  935

code


 * <span style="background-color: #ffffff; font-family: courier,sans-serif; font-size: medium;">Figure 6: (6/23/19) Successful midiprep of puc19. Top DNA sequence includes results from nucleotide sequencing. **




 * Figure 5: Nanodrop image of Purification/Elution 2 ( YopH in pNIC-Bsa4 MW = 33512.8 g/mol ) (6/26/13)**
 * 260/280 = 1.18**




 * Figure 4: Nanodrop image of Purification/Elution 1 ( YopH in pNIC-Bsa4 MW = 33512.8 g/mol ) (6/26/13)**
 * 260/280 = 0.77**




 * Figure 3. 6/26/13 Trial 1 **


 * PCR/ Gel Agarose pLIC (100bp) **


 * Lane 1: 100bp Ladder (Lanes 2-4 include pLIC-for and **** pLIC-rev **** primer) **
 * Lane 2:1:1,000 Template DNA, 1ul TAC **
 * Lane 3:1:100 Template DNA, 1ul TAC **
 * Lane 4: 1:10Template DNA, 1ul TAC **
 * Lane 5:Control (NO DNA) **
 * Lane 6:Empty **
 * Lanes 7-11 are from Jacky's PGBR22 results **


 * Analysis/Notes: Nothing showed up for the pLIC because the gel ran over. **




 * Figure 2. 6/20/13 Trial 2**


 * PCR/ Gel Agarose PGFP (100bp)**


 * Lane 1:100bp Ladder (Lanes 2-4 include VDS1 and VDS 2 primer)**
 * Lane 2:1:1,000,000 Template DNA, 1ul TAC**
 * Lane 3:1:10,000 Template DNA, 1ul TAC**
 * Lane 4:1:1,000 Template DNA, 1ul TAC**
 * Lane 5:Control (NO DNA)**


 * (Lanes 6-9 include M-13 For and M-13 Rev primer)**
 * Lane 6: 1:1,000,000 Template DNA, 1ul TAC**
 * Lane 7: 1:10,000 Template DNA, 1ul TAC**
 * Lane 8:1:1,000 Template DNA, 1ul TAC**
 * Lane 9: Control (NO DNA)**




 * Figure 1. 6/18/13**


 * PCR/ Gel Agarose PGFP Trial 1**


 * Lane 1:1KB Ladder (Lanes 2-4 include VDS1 and VDS 2 primer)**
 * Lane 2:1:1,000,000 Template DNA, 1ul TAC**
 * Lane 3:1:10,000 Template DNA, 1ul TAC**
 * Lane 4:1:1,000 Template DNA, 1ul TAC**
 * Lane 5:Control (NO DNA)**


 * (Lanes 6-9 include M-13 For and M-13 Rev primer)**
 * Lane 6: 1:1,000,000 Template DNA, 1ul TAC**
 * Lane 7: 1:10,000 Template DNA, 1ul TAC**
 * Lane 8:1:1,000 Template DNA, 1ul TAC**
 * Lane 9: Control (NO DNA)**


 * WEEK 2--**


 * Kavya - great work. Specify what your PCR is of - and repeat it to get amplification products. -- Dr. B**
 * Figure 1: Nanodrop image of Midi-Prep (puc19) Trial 1 (n=2) (6/12/13)**
 * 260/280 = 2.28**
 * 260/230 = 3.07**




 * Figure 2: Nanodrop image of Midi-Prep (puc19) Trial 2 (n=2) (6/12/13)**
 * 260/280 = 1.97**
 * 260/230 = 2.69**


 * Figure 3: (6/11/13) PCR of PGBR22 (purple protein 156.92ng/ul)- Primers SP6/T7**
 * Sample B (1:500 Template DNA, 1ul TAC) (pgbr22)**
 * Sample A (1:500 Template DNA, 1ul TAC) least DNA = lane should show up the faintest**
 * Sample C (1:50 Template DNA, 1ul TAC) = most DNA= lane should show up the darkest**
 * Sample D (1:50 Template DNA, 1ul TAC) = control = no DNA**

NNNNNNNNNNNNNNGNNNNCTCNNGAGTCGACCTGCAGGCATGCAAGCTTGGCGTAATCATGGTCATAGCTGTTTCCTGT GTGAAATTGTTATCCGCTCACAATTCCACACAACATACGAGCCGGAAGCATAAAGTGTAAAGCCTGGGGTGCCTAATGAG TGAGCTAACTCACATTAATTGCGTTGCGCTCACTGCCCGCTTTCCAGTCGGGAAACCTGTCGTGCCAGCTGCATTAATGA ATCGGCCAACGCGCGGGGAGAGGCGGTTTGCGTATTGGGCGCTCTTCCGCTTCCTCGCTCACTGACTCGCTGCGCTCGGT CGTTCGGCTGCGGCGAGCGGTATCAGCTCACTCAAAGGCGGTAATACGGTTATCCACAGAATCAGGGGATAACGCAGGAA AGAACATGTGAGCAAAAGGCCAGCAAAAGGCCAGGAACCGTAAAAAGGCCGCGTTGCTGGCGTTTTTCCATANGCTCCGC CCCCCTGACNAGCATCACAAAAATCNACGCTCAAGTCACAGGTGGCGAAACCCTANNTGACTCTNNNNATACNANNCGNN NNCNCCTGGAANNCACNCTCGNGNNNTCTCCTNNTCCNANNNTGCNNCNNNCCAGANNCNNNNNNNCNTGTNCNTNNCTN NGGNAAGCNNNNNNNNTTCGNGTNGNTNNNCTNGNNNNNGNTNANNN


 * Figure 4: (6/14/13)**
 * DNA Sequencing Results for PUC19 purified from //E.coli// (DH-Alpha)**
 * Concentration of DNA = 29.5ng/ul**



Lane 1:1KB Ladder Lane 2:Sample A Lane 3:Sample B Lane 4:Sample C Lane 5:Sample D Lane 6: 1KB Ladder Lane 7: Sample A Lane 8: Sample B Lane 9: Sample C Lane 10: Sample D
 * Figure 5: (6/14/13)**
 * PCR of PGBR22 (purple protein 186.92ng/ul)- Primers SP6/T7**
 * Sample B (1:500 Template DNA, 1ul TAC) (pgbr22)**
 * Sample A (1:500 Template DNA, 1ul TAC) least DNA = lane should show up the faintest**
 * Sample C (1:50 Template DNA, 1ul TAC) = most DNA= lane should show up the darkest**
 * Sample D (1:50 Template DNA, 1ul TAC) = control = no DNA**


 * WEEK 1-**


 * Figure 1: 1 ng puc19 plasmid + SOC media (LB +Amp plate), //E.Coli//**


 * Colonies: 1272**
 * 318 in 1/4 square x 4 =1272 colonies**


 * Transformation Efficiency = 1272/1ng = 1272 colonies/ng**


 * Figure 2: 5 ng puc19 plasmid + SOC media (LB +Amp plate), //E.Coli//**


 * Colonies: 2928**
 * 732 in 1/4 square x 4 =2928 colonies**


 * Transformation Efficiency = 2928/5ng = 585.6 colonies/ng**


 * Figure 2: (6/4/13) 25 ng puc19 plasmid + SOC media (LB +Amp plate), //E.Coli//**


 * Colonies: 608**
 * 152 in 1/4 square x 4 =608 colonies**


 * Transformation Efficiency = 608/25ng = 24.32 colonies/ng**


 * (6/5/13)**



code NNNNNNNNNNNNNNNGCGATTGGGNNNACGTCGCATGCTCCCGGCCGCCATGGCCGCGGGATTTTAGTGATGGTGATGGT GATGACCGAGCAAAGAGTGGCGTGCAATGGATATTTCACACTGCTCAACAAATGTGTAATCCTTGTTGTGACTGGTTACA TCCAGTTTGCGGTCAACATAGTGATACCCTGGCATCCTCACAGGCTTCTTTGCCTTGTAAGTAGATTTGAATTCACACAA ATAGTAACCACCTCCTTCCAACTTCAGAGCCATAAAGTTGTTTCCTATCAGCATTCCATCTCGTGCAAAGAGACGCTCAG TGTTGGGTTCCCAGCCCTGTGTCTTCTTCTGCATAACAGGTCCATTGGGAGGAAAGTTCACACCAGAGATTTTGACATTG TAGATGAAACAGTTGCCTTGGATGCTGGAATCATTGCTGACAGTACACACTGCACCATCTTCAAAGTTCATGATCCTCTC CCATGTATATCCCTCAGGGAATGACTGCTTTACATAATCAGGGATGTCTTCAGGGTACTTGGTGAATGGTATGCTTCCGT ATTGAGACAGTGGTGATAAAATATCCCAAGCAAATGGCAGAGGTCCACCCTTGGTGACAGTGAGCTTTACCGTCTGCTCC CCCTCGTAAGGCTTTCCTTTTCCATCGCCTTCGACCTCAAAGTAGTGTCCATTGACCGTGCCTGACATATAAACCTTGTA GGTCATTTGTTTAGCGATCACACTCATGATATTTCTCCTTCAATCAATCAAAATCACTAGTGCGGCCGCCTGCANGTCGA CCATATGGGAGAGCTCCCAACGCGTTGGATGCATAGCTTGAGTATTCTATAGTGTCACCTAAATAGCTTGGCGTAATCAT GGTCATAGCTGTTTCCTGTGTGAAATTGTTATCCGCTCACAATTCCACACAACATACGAGCCGGAAGCATAAAGTGTAAA GCCTGGGGTGCCTAATGAGTGAGCTAACTCACATTAATTGCGTTGCGCTCACTGCCCGCTTTCCAGTNGGGAAANCTGTC NTGCCAGCTGCATTAATGANNNNNNANNNNNGGGGNNNNNGCNGTTTGCGTANTGGGNNCTNNTNCGNTNNNCNNNCANT GANNCNCNNNNNNNTNNNNNNNGNNNNGNNNNNNNNNNTCNNNNNNNNNNNANGGNNNNNNNNNNNTNNNNNNNNNGGGG NANNNNNNNNNNANNNNNANCNANNNNNNNANNNNNGANNNNNAAANNNCNNNCNNNNNNNNNNNN
 * Figure 5. M13For-20 Nucleotide Sequence**
 * (6/7/13)**

code <span style="display: block; height: 1px; left: -40px; overflow: hidden; position: absolute; top: 7811px; width: 1px;"> <span style="display: block; height: 1px; left: -40px; overflow: hidden; position: absolute; top: 12414px; width: 1px;"> Query 101 TTATTGCAGCTCCGGCCACTGAAAAGATTCGCGGCCATCTTTGTCAACACGTTCGTAACC 160 Sbjct 1440 TTATTGCAGCTCCGGCCACTGAAAAGATTCGCGGCCATCTTTGTCAACACGTTCGTAACC1381 Query 161 ATGACGACCGAAAACGTCACGCTGCAGAGAAACGAGCTGGCCATATTTCAGCGTCGGAGT 220 Sbjct 1380 ATGACGACCGAAAACGTCACGCTGCAGAGAAACGAGCTGGCCATATTTCAGCGTCGGAGT1321 Query 221 GAACATAGCGGTTACGTAGTTCAGGCTCGCGCTCAGAACTGGGATAGAAACTTNCAGTTT 280 Sbjct 1320 GAACATAGCGGTTACGTAGTTCAGGCTCGCGCTCAGAACTGGGATAGAAACTTCCAGTTT1261 Query 281 AGAGGTAATCAGAGCAACCATATCACGATAGTTTTGGAGGCCGGCACGGATCTCAGTTTG 340 Sbjct 1260 AGAGGTAATCAGAGCAACCATATCACGATAGTTTTGGAGGCCGGCACGGATCTCAGTTTG1201 Query 341 GAATGCGCACATGAGGTTAGAGATGTTCGGATTTTTCTCGAATGCCTCCGTCATCGGTTT 400 Sbjct 1200 GAATGCGCACATGAGGTTAGAGATGTTCGGATTTTTCTCGAATGCCTCCGTCATCGGTTT1141 Query 401 CAGCAGGTAACCCTGGAGGATACAGCCCGCACGAAAGGTCGCGATAGTCGCTGGGAGGTT 460 Sbjct 1140 CAGCAGGTAACCCTGGAGGATACAGCCCGCACGAAAGGTCGCGATAGTCGCTGGGAGGTT1081 Query 461 GAGGCCGAAATTGTGAACTTTGTCCATTTCACGCAGGCATTGGAACATTTGGGCGTAGCA 520 Sbjct 1080 GAGGCCGAAATTGTGAACTTTGTCCATTTCACGCAGGCATTGGAACATTTGGGCGTAGCA1021 Query 521 AGAGATGATCGCAATGCAAACAGAGTCNTACAGTTGTTTGATTTCCGGACCAGACGGAGA 580 Sbjct 1020 AGAGATGATCGCAATGCAAACAGAGTCGTACAGTTGTTTGATTTCCGGACCAGACGGAGA 961 Query 581 TTTGTTTTTCAGGGTGTAACCAGGAGACTGGGTGATACCCGGAGCGTTAGACGCATTCGC 640 Sbjct 960 TTTGTTTTTCAGGGTGTAACCAGGAGACTGGGTGATACCCGGAGCGTTAGACGCATTCGC 901 Query 641 CTGACGTTCGGTCTTGTACATGGTGAATTGGCGGGAAACTACCGCCATGTTCAGGGATGG 700 Sbjct 900 CTGACGTTCGGTCTTGTACATGGTGAATTGGCGGGAAACTACCGCCATGTTCAGGGATGG 841 Query 701 CGCN N NTACACCGATTTCCAGCGCTTCCTGGGCAGACCACAGACCGGTACCTTTGCTACC 760 Sbjct 840 CGCAGGTACACCGATTTCCAGCGCTTCCTGGGCAGACCACAGACCGGTACCTTTGCTACC 781 Query 761 GATAC N GTCCATCNCGTGCTCNGTCNGGTAGGAGCCGTCCTTGTCTTTAGCGCGTGCCGC 820 Sbjct 780 GATACGGTCCATCACGTGCTCGGTCAGGTAGGAGCCGTCCTTGTCTTTAGCGCGTGCCGC 721 Query 821 AGCGATGGAGATGTCCAGCNTATAGNANTTGAGAAAGTTTTTGNNTTTCCNGTCNTCCAG 880 Sbjct 720 AGCGATGGAGATGTCCAGCATATAGGATTTGAGAAAGTTTTTGCTTTTCCAGTCTTCCAG 661 Query 881 ANNCNCGGNTANNTCGTCATTANTTCNNGCNCNTCGNGCGNNNGATATCGAATACTTCA 939 Sbjct 660 AACCGCGGCTACTTCGTCATTA-TTCAGGCCCATCGCGCGCAGGATATCGAATACTTCA 603 <span style="display: block; height: 1px; left: -40px; overflow: hidden; position: absolute; top: 13197.5px; width: 1px;">// <span style="display: block; height: 1px; left: -40px; overflow: hidden; position: absolute; top: 17589.5px; width: 1px;">[[image:data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOMAAADyCAIAAAAwZuUlAAAgAElEQVR4nOzcV3AcZ5Yn+p2J7d7Y2G611NPTVi2JnvC+LApV8N4DBK0oSqRESjSiNyBBeI/y6U15XwVUwZuC996DAAhDkAS9Eb1V931IEsOZ7TuxD3u5dyOY8Q9EZlZFhR5+cb5zvkzqv/z9w/Hh+L/h+C 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]] <span style="display: block; height: 1px; left: -40px; overflow: hidden; position: absolute; top: 27034.5px; width: 1px;"> __** 9/18/13 **__ Nanodrop results of Elution 1 of Sample A (37degree celsius incubator)- Trial 1 <span style="display: block; height: 1px; left: -40px; overflow: hidden; position: absolute; top: 27160px; width: 1px;"> Protein Yield table entry of Tb6pgdh sample A. Yield was 0.23mg in 500ml.
 * VDS VLG Secondary overlap PCR of Tb6pgdh 07/12/13**
 * (Black Settings)**
 * Lane 1: 1kb DNA ladder**
 * Lane 2: Sample 1 (64°C Annealing)**
 * Lane 3: Sample 2 (65.2°C Annealing)**
 * Lane 4: Sample 3 (66.8°C Annealing)**
 * Lane 5: Sample 4 (68.8°C Annealing)**
 * Lane 6: Sample 5 (71.5°C Annealing)**
 * Lane 7: Sample 6 (73.7°C Annealing)**
 * Lane 8: Sample 7 (75.2°C Annealing)**

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