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| − | <h1>
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| − | F A C S
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| − | Fluorescence Activated Cell Sorting (FACS) is a flow cytometry measurement technique that separates single cells with different fluorescence characteristics. In this method you get accurate measuring results, because every single cell is analyzed on its own. FACS analysis can be used for cell sorting, fluorescence analysis of single cells and cell counting of different sample mixtures.<br>
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| − | In flow cytometry, the sample with the cells get hydrodynamically focused in a single stream. The cells arrange in a row, so that they can pass a laser one by one. The cells get excited by the laser and emit light at various wavelengths, which is then detected by a fluorescence analysator. The detector can detect and separate different fluorescence intensities at a definite range of wavelengths. Through this cells can be categorized by different fluorescent characteristics and if wanted separated into defined categories by a deflection system using electromagnetic fields. <br>
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| − | Furthermore, it is possible to determine the cell volume and size, as well as to distinguish between different kinds of cells, particles or cell clumps. For this, there are scatter detectors around the capilar. A forward scatter detector (FSC) and a stream side scatter detector (SSC) are placed around the stream.<br><br>
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| − |
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| − | <h2>Flow cytrometry for growth curves</h2>
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| − | With the flow cytometry device available to us we were able to capture highly accurate cell counts. This brought us the idea of implementing this technique in a way less related to fluorescent reporters: counting cells in our cultures to capture growth curves instead of relying on optical density measurements. <br><br>
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| − | Measurements of optical density are highly influenced by a multitude of factors. When measuring samples it is common to receive different results every time the same sample is measured, as in the meantime the distribution of cells inside of the probe has changed - mainly due to them slowly sinking to the bottom of the cuvette while not being shaken. This leads to high measurement errors. <br><br>
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| − | Cell counts offer a promising alternative, as they are independent of factors that could influence OD measurements: impurity in the probe can distort OD measurements, while in flow cytometry the polluting particles will mostly be clearly distinguishable from the other counts. Especially with cyanobacterial cultures this can be used as a huge advantage: the autofluorescence of the cell gives us a clear way to select for the right event counts in our device, which we can then gate in order to receive just the number of cells with the fitting fluorescence signal.<br><br>
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| − | In order to construct an actual growth curve out of this, another important part is needed: counting beads. <br>Those beads emit a distinct fluorescent signal that can be clearly detected and distinguished from other events. Using different filters we can select for the fluorescence we want to look at, one of them being the one of the beads and the other one from our cyanobacteria. The event number of the counting beads can now be used to determine the exact number of cells in the culture - this is how it works:<br>
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| − | One counts the beads and sets a fixed number as the stop-criteria, meaning that the event count will stop after a certain amount of beads has been counted. Afterwards one can look at the number of cyanobacterial cells that have been counted in the same time the fixed amount of beads has passed and can calculate back to the whole culture volume in order to determine the amount of cells in the culture using the following formula:<br><br>
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| − | A/B x C/D=concentration of sample as cells/µL<br>
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| − | Where:<br>
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| − | A = number of cell events<br>
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| − | B = number of bead events<br>
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| − | C = assigned bead count of the lot (beads/50 µL)<br>
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| − | D = volume of sample (µL)<br><br>
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| − |
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| − | As one can already see from the formula, usually 50µl of beads are added to each sample that is run through the flow cytometer. This allows for accurate comparability.<br>
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| − | Figure 1 shows our setup for the measurement of growth curves. The gated beads are counted to an event number of 1000. Meanwhile our cells are counted in a defined gate reaching from 2x10^3 to 10^5 relative fluorescence units. For detection of autofluorescence the APC filter was used. APC stands for Allophycocyanin, as this filter is designed to show the fluorescence of excited Allophycocyanin from red algae - a protein similar to phycocyanin in cyanobacteria, which is the reason why this setup works well to show cyanobacterial autofluorescence.<br><br>
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| − |
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| − | <figure>
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| − | <img src="https://static.igem.org/mediawiki/2019/f/f2/T--Marburg--CellCountSetup.png" alt="CellCountSetup">
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| − | <figcaption>
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| − | Fig.1 - Setup for the creation of growth curves through cell counts with flow cytometry.
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| − | </figcaption>
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| − | </figure>
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| − |
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| − |
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| − | Comparing flow cytometry measurements to optical density measurements we were able to find some striking differences.<br>
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| − | Using the exact same probes and paying very close attention to work carefully we created to growth curves which, although showing the same tendency, differ from one another. While in the optical density measurements the culture seems to shift towards the stationary phase [Fig 2: Growth of S.elongatus UTEX 2973 and PCC 7942 measured by optical density], the cell counts show us a still exponentially growing culture [Fig 3: Growth of S.elongatus UTEX 2973 and PCC 7942 measured by cell count]. <br>Calculating the doubling time between two exact same time points for both approaches we were again able to find a difference: while the OD730 measurements resulted in a calculated doubling time of 108 minutes for the UTEX 2973 strain, the calculation using cell counts resulted in a doubling time of 94 minutes - a difference of 14 minutes between two measurement methods for the exact same samples!
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| − |
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| − | <figure>
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| − | <img src="https://static.igem.org/mediawiki/2019/6/65/T--Marburg--GrowthCurveOD.png" alt="GrowthCurveOD">
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| − | <figcaption>
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| − | Fig.2 - Growth of S.elongatus UTEX 2973 and PCC 7942 measured by optical density.
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| − | </figcaption>
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| − | </figure>
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| − |
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| − | <figure>
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| − | <img src="https://static.igem.org/mediawiki/2019/9/99/T--Marburg--GrowthCurveCellCount.png" alt="CellCountSetup">
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| − | <figcaption>
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| − | Fig.3 - Growth of S.elongatus UTEX 2973 and PCC 7942 measured by flow cytometry.
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| − | </figcaption>
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| − | </figure>
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| − | <br><br>
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| − | <h2>Cell cytometry to examine gene expression levels</h2>
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| − |
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| − | In our project we chose to use flow cytometry as an accurate method, to analyse gene expression levels of genetic constructs. <br>
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| − | In an extensive experiment we assessed the fluorescence of a transformed YFP-construct in our cured strain, showing that the shuttle vector with the minimal replication element can be maintained in S. elongatus UTEX 2973.<br>
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| − | Using a similar setup as in our growth curve experiments, we analysed the strength of the fluorescence signal over time: <br><br>
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| − | As expected, no YFP expressing cells could be counted in the wild type strain.
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| − | <figure>
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| − | <img src="https://static.igem.org/mediawiki/2019/2/27/T--Marburg--UDARyfpFACSmeasurement.png" alt="UTEXwtYFP">
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| − | <figcaption>
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| − | Fig.4 - YFP expression of the wild type strain.
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| − | </figcaption>
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| − | </figure>
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| − | <br><br>
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| − | For the conjugant strain it was obvious that a steady fluorescent signal could be obtained. For a lower light intensity the strength of the signal stayed the same throughtout the whole experiment, while at higher light intensities a shift towards higher fluorescence intensities could be observed.
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| − | <br><br>
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| − | <figure>
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| − | <img src="https://static.igem.org/mediawiki/2019/a/a7/T--Marburg--ConjugantYFPexpression.png" alt="ConjugantYFPexpression">
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| − | <figcaption>
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| − | Fig.5 - YFP expression of a conjugant strain.
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| − | </figcaption>
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| − | </figure>
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| − |
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| − | P A R T<br>
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| − | M E A S U R E M E N T
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| − | For our project it was indispensable to establish a measurement workflow that is not only applicable
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| − | to UTEX 2973 and other cyanobacteria but also has a high throughput.
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| − | <h1 class="title">Part Measurement</h1>
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| − | For our project it was indispensable to establish a measurement workflow that is not only applicable
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| − | to UTEX 2973 and other cyanobacteria but also has a high throughput. While we worked on our Marburg
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| − | Collection 2.0 with XXX parts we came to the conclusion it is also necessary to develop a measurement
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| − | method that suites such a large collection. Therefore we elaborated different workflows - containing
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| − | different cultivation vessels and parameters - and revised them after evaluating the results. In the end
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| − | we were able to establish a workflow specially designed for our methods to cultivate and characterize
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| − | the parts from our Marburg Collection 2.0, that is tailored to <i>Synechococcus elongatus</i> UTEX 2973.
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| − | Experimental Procedure
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| − | The results of our part characterization were obtained by fluorescence and luminescence
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| − | measurements (of what?). But before the party could be measured we had to
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| − | elaborate a cultivating and measuring workflow.<br>
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| − | For the cultivating workflow we tested different well plate formats and growing parameters for the
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| − | best growing conditions. It was logistically the best way to cultivate and measure the parts in
| |
| − | well plates, because the Marburg Collection 2.0 comprises xxx parts and we were limited in space
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| − | in our incubator. Starting with 96-well-plates it was impossible to cultivate <i>Synechococcus
| |
| − | elongatus</i> UTEX 2973 under our conditions (hier aufführen?) since the cultures showed small
| |
| − | clouds of cells formed by inappropriate movement of media in the wells. In addition, the rpm of
| |
| − | the incubator was limited whereas cultures in flasks had to be incubated at the same time and
| |
| − | these threatened to fall over at high rpm. At 130 rpm we found a compromise between cultivating
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| − | flasks and well-plates in the same incubator. After revising the workflow over and over we came to
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| − | the conclusion, that it is favorable to cultivate the UTEX 2973 in transparent 24-well-plates
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| − | because there was enough movement in the wells to prevent the cells from forming a pellet/cloud.
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| − | Further it was necessary to use transparent wells to ensure every well with similar ight
| |
| − | conditions. Concerning of light conditions, we evaluated that the cells showed good (prosperous?)
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| − | growth in the wells at low-light conditions (around 500 µE). The evaporation of medium plays an
| |
| − | important role in cultivation of well plates cause the realtive small volumes and high surfaces
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| − | (ich glaub die flache ist eher klein, aber vllt wegen der Temperatur und Zeit?). Further it is
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| − | essential to know the volume in the wells for measuring in the plate reader. Therefore we compared
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| − | different seals for the well plates and in the end we came to the conclusion that using a
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| − | semipermeable foil is the best solution. The evaporation could be minimalized and the cells were
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| − | able to get enough CO2 because air transfer was provide/permit. By using a foil it was possible to
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| − | cultivate the cells for 2-3 days without losing significant amounts of medium.
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| − | <br>
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| − | <br>
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| − | <center>xxxx
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| − | Fig x.:Schema vom Workflow</center>
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| − | <br>
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| − | As described before we used the following workflow as shown in fig. XX to cultivate and measure
| |
| − | our parts. The cultivation started by picking colonies from BG11-agar-plates that were used at the
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| − | end of the triparental conjugation (LINK). For every part we picked 3 different colonies and
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| − | inoculated them in 1.0 mL BG11-media with 0.5 µl Spectinomycin. Thus in the first 24-well-plates
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| − | we could inoculate 8 different parts with 3 biological parallels. When the cultures grew to
| |
| − | OD<sub>730</sub>=0.6-0.8 they were inoculated to 1.0 mL of OD<sub>730</sub>=0.1 into the wells
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| − | A1-3 (part 1) and A4-6 (part 2) of another 24-well-plate. At the same time the Well B6 was
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| − | inoculated with 1.0 mL of a OD<sub>730</sub>= 0.1 UDAR culture that was used as a blank while
| |
| − | evaluating the results (that will be used as a blank while ...). When all the cultures in the
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| − | second 24-well-plate reached OD<sub>730</sub>=0.6-0.8 they got inoculated twice in the same
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| − | well-plate. It was done by inoculating the wells A1-3 into the wells C1-3 and D1-3 creating
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| − | technical parallels of the same part (analog for A4-6 and the UDAR inoculating to B4 and B5). When
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| − | the wells C1-D6 (and the UDAR) reached an OD<sub>730</sub>=0.6-0.8 the cultures were transferred
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| − | into a 96-well-plate. As seen in fig. XXX every well of the 24-well-plate was measured three
| |
| − | times. Following this workflow we were able to measure three biological parallels and
| |
| − | two technical parallels for every biological parallel. It enabled us to have a good statistical
| |
| − | database and gives our results a stronger meaning/significance. While working with this workflow
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| − | it was essential to keep the cultures in their exponential phase because it would significantly
| |
| − | speed up the growth by reducing the lag-phase to an absolute minimum (oder lieber sagen dass es
| |
| − | erst gar keine lag phase gibt).<br>
| |
| − | Concerning the measurement part we decided to transfer the cultures into black/white luminescence
| |
| − | is measured in white ones. We measured in 96-well-plates because it enabled us to measure every
| |
| − | part three times by consuming only 600 µl of the 1.0 ml 24-well-cultures. Further we could measure
| |
| − | eight (?) parts in only one plate. (four 24-well-plates lead into one 96-well-plate for
| |
| − | measurement)<br>
| |
| − | <br>
| |
| − | <b>Fluorescence measurement:</b><br>
| |
| − | After transfering the cultures into the 96-well-plate the fluorescence of the parts was measured.
| |
| − | More precisely, the activity of the parts was determined by the expression of the sYFP. The sYFP
| |
| − | fluorescence served as an indicator and the sequence for the sYFP was in the same cassette as the
| |
| − | considered part. For measurement we created a program that measured the OD<sub>730</sub> and the
| |
| − | fluorescence of the wells.<br>
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| − | <br>
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| − | <center>fig XX (screenshot des messprogams)</center>
| |
| − | <br>
| |
| − | In order to measure the OD in each well we determined the absorption at 730 nm. Further we
| |
| − | measured multiple points in each well, where 3x3 points (circular) with a gap of 1350nm to the
| |
| − | border of the well showed consistent results with small standard deviations (fig. XX). We used the
| |
| − | same settings of the multiple measurement for the fluorescence measurement. While using sYFP as
| |
| − | signal for our part measurement we have set the emission wavelength to 515 nm and the excitation
| |
| − | wavelength to 527 nm, fitting the exact wavelengths of the sYFP shown in XX (Database
| |
| − | verlinken/als quelle?)<br>
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| − | <br>
| |
| − | <b>Fluorescence-Activated Cell Sorting (FACS):</b><br>
| |
| − | short abstract and link to the FACS-text of the measurement
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| − | <br>
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| − | <br>
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| − | <b>Luminescence Measurement</b><br>
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| − | <br>
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| − | text
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| − | </p>
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| − | </div>
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| − | </div>
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| − | </div>
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| − | <br>
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| − | <div class="wrap-collabsible">
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| − | <h3 class="title" tyle="text-align: left; text-align-last: left;">Data analysis and evaluation
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| − | </h3>
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| − | </label>
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| − | <div class="collapsible-content">
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| − | <div class="content-inner" style="text-align: left; text-align-last: left;">
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| − | <p>
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| − | kein plan was man hier schreiben soll zum jetzigen standpunkt...
| |
| − | For analyzing the data we used two blanks. For OD measurement we used pure medium (BG11) and for
| |
| − | the fluorescence measurement we used UTEX 2973 without a fluorescent protein.
| |
| − | <br>
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| − | Auswertung, Daten und Grafen darstellen?
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| − | </p>
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| − | </div>
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| − | </div>
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| − | </div>
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| − | </div>
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| − | </div>
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| − | <div class="sub" onclick="popup('rbn5')">
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| − | <div class="sub-header">
| |
| − | <h1>
| |
| − | G R O W T H<br>
| |
| − | C U R V E S
| |
| − | </h1>
| |
| − | <hr>
| |
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| − | <div id="rbn5" class="popup">
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| − | <div class="popup-container">
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| − | <div class="popup-header">
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| − | <h1 class="title">Growth Curves</h1>
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| − | <button type="button" onclick="hide('rbn5')">X</button>
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| − | </div>
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| − | <div class="popup-content" style="text-align: justify; text-align-last: justify;">
| |
| − | <p>
| |
| − | Abstract?
| |
| − | </p>
| |
| − | <br>
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| − | <br>
| |
| − | <div class="wrap-collabsible">
| |
| − | <input id="collapsible5_1" class="toggle" type="checkbox">
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| − | <label for="collapsible5_1" class="lbl-toggle">
| |
| − | <h3 class="title">Unterprojekt1</h3>
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| − | </label>
| |
| − | <div class="collapsible-content">
| |
| − | <div class="content-inner" style="text-align: left; text-align-last: left;">
| |
| − | <p>
| |
| − | Hier bitte den für diese Stelle zutreffenden Text einfügen, wenn dieser fertig ist.
| |
| − | </p>
| |
| − | </div>
| |
| − | </div>
| |
| − | </div>
| |
| − | <br>
| |
| − | <div class="wrap-collabsible">
| |
| − | <input id="collapsible5_2" class="toggle" type="checkbox">
| |
| − | <label for="collapsible5_2" class="lbl-toggle">
| |
| − | <h3 class="title">Unterprojekt2</h3>
| |
| − | </label>
| |
| − | <div class="collapsible-content">
| |
| − | <div class="content-inner" style="text-align: left; text-align-last: left;">
| |
| − | <p>
| |
| − | Hier bitte den für diese Stelle zutreffenden Text einfügen, wenn dieser fertig ist.
| |
| − | </p>
| |
| − | </div>
| |
| − | </div>
| |
| − | </div>
| |
| − | </div>
| |
| − | </div>
| |
| − | </div>
| |
| − | </section>
| |
| − | </div>
| |
| − | </div>
| |
| − | </body>
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| − |
| |
| | </html> | | </html> |
| | {{Marburg/footer}} | | {{Marburg/footer}} |
