Difference between revisions of "Team:Munich/Results"

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<h3>Characterizing Cell Extract Quality </h3>
 
<h3>Characterizing Cell Extract Quality </h3>
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<div class="row">
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<div class="col-12">
 +
<p>
 +
In order to validate the success of our optimization efforts, adequate characterization of cell extract is indispensable.
 +
Here we will give a short review about the tools for quality assessment we implemented. Further details about characterization
 +
of these tools are available on the <a href="https://2018.igem.org/Team:Munich/Measurement">Measurement</a> page.
 +
</p>
 +
<p>
 +
We had initially defined increase of protein content in cell extract as optimization goal. However we realized early on, that protein content alone is no measure for extract quality, because it provides no information about the activity of the cellular machinery.
 +
</p>
 +
</div>
 +
</div>
 +
 +
<div class="row">
 +
<div class="col-12 col-md-6">
 +
<p>
 +
To assess functionality of cell extract, testing of protein expression is necessary, which can be achieved by expressing fluorescent proteins and measuring the fluorescence time trace in a plate reader. To find the optimal quality control we compared the performance of different fluorescent proteins in cell extract.
 +
</p>
 +
<p>
 +
We chose expression of mTurquoise – a variant of Cyan Fluorescent Protein (CFP) – as our favorite quality control for cell extract, as it results in high fluorescence intensity in a reproducible manner.
 +
</p>
 +
</div>
 +
<div class="col-12 col-md-6">
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  <figure class="figure">
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  <img src="https://static.igem.org/mediawiki/2018/e/e0/T--Munich--Results-WL2_Four_Fluorescence.png" class="figure-img img-fluid rounded" alt="A generic square placeholder image with rounded corners in a figure.">
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  </figure>
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</div>
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</div>
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 +
<div class="row">
 +
<div class="col-12 col-md-6">
 +
<p>
 +
In addition, to examining protein expression we decided to analyze transcription uncoupled from translation by transcribing an RNA aptamer that binds a fluorescent dye.
 +
<p>
 +
We compared the fluorescence time trace of a Malachite Green binding aptamer in different cell extract samples. The fluorescence time traces decline after 30-50min indicating, that RNA degradation starts to prevail over transcription. Differences in the observed kinetics can be explained by variations in cell extract composition.
 +
</p>
 +
</div>
 +
<div class="col-12 col-md-6">
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  <figure class="figure">
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  <img src="https://static.igem.org/mediawiki/2018/e/e3/T--Munich--WL2_MG_aptamer.png" class="figure-img img-fluid rounded" alt="A generic square placeholder image with rounded corners in a figure.">
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  </figure>
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<h3>
 
<h3>
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     <p>
 
     <p>
         The main task after receiving genomes was to assemble the phage genomes from the Nanopore reads without the reference  
+
         The main task after receiving genomes was to assemble the phage genomes from the Nanopore reads without the reference
         genome and gain the origin sequence. There are several tools available, but for minION Nanopore recommended tools are  
+
         genome and gain the origin sequence. There are several tools available, but for minION Nanopore recommended tools are
 
         canu and miniasm, of which we finally used the latter.
 
         canu and miniasm, of which we finally used the latter.
 
     </p>
 
     </p>
 
     <p>
 
     <p>
         Despite an excellent lab team we have been confronted with a major problem: contamination. Contamination is a problem  
+
         Despite an excellent lab team we have been confronted with a major problem: contamination. Contamination is a problem
         regarding the therapeutic usage of the final phage extract, but also an important factor in the bioinformatics pipeline  
+
         regarding the therapeutic usage of the final phage extract, but also an important factor in the bioinformatics pipeline
         because contamination-based reads can confuse the assembly process. We thus developed <a href="https://2018.igem.org/Team:Munich/Software">sequ-into</a> to detect  
+
         because contamination-based reads can confuse the assembly process. We thus developed <a href="https://2018.igem.org/Team:Munich/Software">sequ-into</a> to detect
         the contamination and also get rid of contamination-originated reads. In the context of our project, several DNA  
+
         the contamination and also get rid of contamination-originated reads. In the context of our project, several DNA
         purification protocols were evaluated with sequ-into and allowed iterative engineering cycles in Phactory, leading to  
+
         purification protocols were evaluated with sequ-into and allowed iterative engineering cycles in Phactory, leading to
 
         unparalleled purity of up to 96% (bases sequenced).
 
         unparalleled purity of up to 96% (bases sequenced).
 
     </p>
 
     </p>
 
     <p>
 
     <p>
         While evaluating the sequencing data with sequ-into we noticed that in the first 10% of the sequencing time of  
+
         While evaluating the sequencing data with sequ-into we noticed that in the first 10% of the sequencing time of
 
         each experiment, more non-target reads were sequenced than in any latter time interval.
 
         each experiment, more non-target reads were sequenced than in any latter time interval.
         Moreover we found that this also holds true for the first x sequenced reads, which allowed us to setup sequ-into such  
+
         Moreover we found that this also holds true for the first x sequenced reads, which allowed us to setup sequ-into such
         that it only analyses the first 1000 reads of a minION sequencing experiment, speeding up computation and enabling an  
+
         that it only analyses the first 1000 reads of a minION sequencing experiment, speeding up computation and enabling an
 
         en-run analysis.
 
         en-run analysis.
 
     </p>
 
     </p>
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     <p>
 
     <p>
         After getting rid of the contamination we noticed a non-uniform coverage in the phage genome assemblies after  
+
         After getting rid of the contamination we noticed a non-uniform coverage in the phage genome assemblies after
 
         re-aligning the reads to the assembly.
 
         re-aligning the reads to the assembly.
 
     </p><p>
 
     </p><p>
         Rearranging the middle part which initially was “over-expressed” and re-assembling led us to the expected uniform  
+
         Rearranging the middle part which initially was “over-expressed” and re-assembling led us to the expected uniform
 
         coverage of the de-novo genome sequence after re-aligning the input reads.
 
         coverage of the de-novo genome sequence after re-aligning the input reads.
 
         Finally, we could predict coding-sequences and visualize all descriptive statistics in genome diagrams.
 
         Finally, we could predict coding-sequences and visualize all descriptive statistics in genome diagrams.

Revision as of 00:24, 18 October 2018

Phactory

Results

Optimizing a Cell-Free Expression System

The first part of our project is the optimization of a cell-free expression system as a manufacturing platform for bacteriophages. For our purpose, it is necessary to produce a high quality cell extract, in a reproducible and easy manner.
We focused on achieving the following goals for our cell extract:

  • increase protein content
  • find reproducible methods of quality control
  • produce cell-extract that allows phage assembly


Considering a possible commercial use of our product we decided to furthermore evaluate the potential for scaling up of our preparation protocol.
We chose to try several different approaches to achieve these goals

  • test cell cultivation in a bioreactor to enable upscaling
  • find optimal lysis conditions that produce high-quality extract
  • test scaling up of cell lysis


We found that:

  • bioreactor cultivation allows for upscaling of cell extract production
  • sonication and lysozyme improve the performance of cell extract
  • cultivation and extract preparation barely impacts cell extract composition
  • lyophilization is a good choice for cell-extract storage

Bioreactor Cultivation Allows For Upscaling Of Cell Extract Production

Cultivating bacteria is the first step in cell extract preparation. The cell extract preparation protocol of Sun et al. uses shaking flask cultivation for biomass production. It recommends cell harvest in the mid-log growth phase at OD 1.8-2.0 to produce high-quality cell extract. We recorded growth curves for shaking flask cultivation and bioreactor cultivation in a lab-scale bioreactor, to compare biomass production under different culture conditions.

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Growth curves for cell cultivation in a shaking flask and a 2 L bioreactor. Growth curves were approximated by fitting a logistic function (line).

The growth curve from shaking flask cultivation, revealed that the mid-log growth phase correlates to an OD of around 2. In bioreactor cultivation the mid-log growth phase is prolonged, due to the better aeration of the medium, and corresponds to an OD between 4 and 6. We harvested cells at OD 4, 5 and 6 to test which harvest point is most suitable to produce high quality cell extract.

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Protein content (grey) and fluorescence intensity (blue) in cell extract in different cultivation conditions.

The test reveals that the protein content is higher when cells where harvested at higher OD, with OD 5 yielding the highest protein content. In addition, the cell extract from OD 5 produces the highest fluorescence intensity in the TXTL test. Compared to a cell extract from shaking flask cultivation the signal is reduced to about 60 %. The most likely cause for this result, is that a higher fraction of proteins in the OD 5 cell extract is inactive, possibly due to protein damage during cell lysis (at the time of this experiment, cell lysis was not yet fully optimized).

The comparison cultivation methods revealed that cultivation in a bioreactor is an applicable alternative to shaking flask cultivation and offers great potential for upscaling of cell extract preparation. In our 2 L lab-scale bioreactor we were able to produce 20 g of cell pellet, compared to 4-5 g that 2 L of shaking flask cultivation yield.


Sonication and Lysozyme Improve the Performance of Cell-Extract

Sonication

We tested three different cell lysis methods: beat beating, French press and sonication. Beat beating is an inexpensive and widely employed method but upscaling is problematic and the preparation is tedious and time-consuming. High-pressure cell disruption in a so called ‘French-press’ is also used but these devices are very expensive and not widely prevalent. This contradicts our effort to provide a generally-applicable protocol for preparation of home-made cell extract. A sonication device on the other hand is available in most biochemical labs as it is a commonly used method for cell lysis in protein purification protocols. Nevertheless, we started by comparing all three lysis methods with settings commonly applied for cell lysis.

Our initial test showed that cell lysis by sonication yields extract with up to 2.8 and 4.4 fold higher expression than cell lysis by bead beating and French press respectively. These findings, combined with the limited options of optimization for both bead beating and French press lysis as well as restricted potential for scaling up of bead beating lead to the decision to focus our optimization efforts on sonication as lysis method.

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Comparison of different cell lysis methods for cell extract preparation.

Cell lysis by sonication has two main parameters that can be varied: the amplitude, which correlates to the power emitted by the sonication device and cycle number, representing the total time of sonication. Based on Yong-Chan Kwon & Michael C. Jewett we decided to use 10 s pulses with 15 s pause between pulses to prevent excessive heating of the sample.

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Screening of different amplitudes and cycle numbers for sonication.


Our screening revealed that increase of amplitude as well as increase of cycle number leads to higher protein content. The TXTL test showed high fluorescence intensity only for settings with low cycle numbers. This indicates that prolonged sonication damages the cellular machinery, declining the ability for protein expression.

The highest-performing extracts where those obtained by sonication at 4 cycles at 33 % amplitude and 5 cycles at 10 % amplitude. Therefore we focused our next steps on further optimization of those settings.

Lysozyme

In the last step we made an effort to scale up the sonication step. Preliminary experiments (results not shown) indicated 4 mL as the maximal sample volume that could efficiently be lysed with the device we had at our disposal. As indicated in the publication by Yong-Chan Kwon & Michael C. Jewett2 the number of sonication cycles was increased in proportion to the increase of sample volume. The presented results shown in the figure below shows that this approach was successful: Using higher sample volumes for sonication increased protein content and expression quality of the cell extract. This proves that upscaling of cell extract preparation with cell lysis by sonication is indeed feasible.

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A generic square placeholder image with rounded corners in a figure.
Comparison of cell lysis conditions: increase of sample volume and use of lysozyme.


Even though previous attempts by Shresta et al.[ref 3] to use Lysozyme in cell extract preparation have been unsuccessful, we tested the effect of adding the cell-wall degrading enzyme at 1 mM concentration to the cell lysis reaction. In our experiments lysozyme increases the efficiency of cell lysis for all tested settings. Moreover, the expression quality was likewise increased after Lysozyme addition, indicating that the remaining enzyme does not interfere with protein biosynthesis.

Cell Extract Processing

Cultivation and cell lysis are the apparent most crucial steps in preparation of cell extract but there are other steps that can have a great impact onto cell extract quality. Some of our findings regarding those steps are:

  • Freezing cell pellets overnight for next-day processing does not interfere with extract quality but confers a major simplification of cell extract preparation
  • Preliminary results indicate that omitting the run-off reaction after lysis does not significantly impair the extract quality
  • Dialysis of cell extract can be substituted by diafiltration in centrifugal filters without reducing expression yield of the resulting extract

Characterizing Cell Extract Quality

In order to validate the success of our optimization efforts, adequate characterization of cell extract is indispensable. Here we will give a short review about the tools for quality assessment we implemented. Further details about characterization of these tools are available on the Measurement page.

We had initially defined increase of protein content in cell extract as optimization goal. However we realized early on, that protein content alone is no measure for extract quality, because it provides no information about the activity of the cellular machinery.

To assess functionality of cell extract, testing of protein expression is necessary, which can be achieved by expressing fluorescent proteins and measuring the fluorescence time trace in a plate reader. To find the optimal quality control we compared the performance of different fluorescent proteins in cell extract.

We chose expression of mTurquoise – a variant of Cyan Fluorescent Protein (CFP) – as our favorite quality control for cell extract, as it results in high fluorescence intensity in a reproducible manner.

A generic square placeholder image with rounded corners in a figure.

In addition, to examining protein expression we decided to analyze transcription uncoupled from translation by transcribing an RNA aptamer that binds a fluorescent dye.

We compared the fluorescence time trace of a Malachite Green binding aptamer in different cell extract samples. The fluorescence time traces decline after 30-50min indicating, that RNA degradation starts to prevail over transcription. Differences in the observed kinetics can be explained by variations in cell extract composition.

A generic square placeholder image with rounded corners in a figure.

Cultivation and Extract Preparation Barely Impacts Cell Extract Composition

The main question was, if the different performance of the cell extracts (P15, E10, myTXTL), especially concerning phage titers, is due to a divergent composition or caused by a discrepancy in activity of the relevant proteins e.g. transcription and translation related proteins Therefore, one student was sent to Bavarian Biomolecular Mass Spectrometry Centre (BayBioMS), where he analyzed the samples under the supervision of Dr. Christina Ludwig.

The results of the Mass Spectrometry gave us insight into the composition of the different TX-TLs. We were able to identify 1771 proteins in all the extracts. The results indicate a high homogeneity between all three TX-TLs, as illustrated in the heatmap. Based on the LFQ values (Label Free Quantification) a volcano plot of two samples (Arbor/E10, Arbor/P15 and E10/P15) was generated. In general, there is no protein more frequent in Arbor TX-TL in comparison to E10 and P15. In contrast, some translation related proteins were slightly more abundant in E10 and P15 like certain tRNA ligases (PheS and PheT). The RecBCD subunits (the dsDNA degrading complex) is of similar abundance in all TX-TLs, showing the importance to consider its negative impact on the assembly. The results were further validated with DAVID, a tool for finding metabolic pathways based on proteomic data. The identified pathways indicate no correlation with transcription/translation related pathways (data not shown).

We concluded that the performance difference is most likely due to decreased activity during TX-TL preparation rather than a change in composition.

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Illustration of the abundance of all sequenced proteome of duplicates from P15, E10 and myTXTL based on LFQ values. Heatmap of the label-free quantification intensities of all proteins identified. Diagram shows duplicate samples from the three cell extracts analyzed. Green indicates high expression, red indicates low expression.
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Arbor p15
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Arbor e10
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e10 p15
Volcano plots of myTXTL vs. P15 (A), myTX-TL vs. E10 (B) and E10 vs. P15 (C), LC-MS/MS measurements of the E. coli proteome lysates were performed in duplicates on a Q-Exactive HFX instrument in data-dependent acquisition mode (Top18 method). Total protein injection amount was 0.5 µg. Gradient length was 1h. The data was then analyzed using MaxQuant and the Uniprot E. coli K12 fasta file. The LFQ data was filtered for proteins that occur in both duplicates of at least one cell lysate group (Arbor E10 P14).

Lyophilization Is a Good Choice for Cell-Extract Storage

With regard to global application of Phactory it is crucial to enable long-term storage and shipping of our cell extract. In order to fulfill these requirements we chose to freeze-dry our cell extract. Lyophilized extract can be stored at ambient temperature and can be reactivated by addition of only nuclease-free water. Initial tests for the optimal lyophilization conditions revealed several important points:

  • cell extract quality is only preserved when cell-extract is mixed with the TXTL reaction buffer prior to lyophilization
  • the preservation of quality does not depend on the size of lyophilized extract aliquots


We tested the expression quality of several of our home-made cell extracts from fresh and lyophilized aliquots. This comparison also includes the commercially available myTXTL® cell-free expression system (arbor biosciences) and highlights two important results of our efforts to optimize production of cell extract:

  • our improved cell extract can be lyophilized and retains 40-70 % of its performance
  • our final settings for cell extract preparation yield extract that clearly outperforms the commercial system, with up to 9-fold higher protein expression
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Our two tested samples of cell extract retained 70 and 90 % of expression quality respectively after lyophilization.

Synthetic Phage Manufacturing

Phages were manufactured based on three components: the cell extract, an energy solution (ATP, GTP, NAD+ etc.) and a supplement solution (aminoacids, tRNAs, pholic acid etc.). The only additional component for phage assembly is pure phage DNA. We expanded the assembly platform by

  • producing the first clinically relevant phages at therapeutic concentrations
  • manufacturing of therapeutic phages independent of a living pathogen
  • achieving similar phage titers as the commercial cell extract
  • determining the amount of DNA necessary for sufficient phage assembly
  • calculating the amount of DNA produced in the cell extract by replication

Home-Made Cell Extract Achieves Phage Titer Comparable to the Commercial System

We determined the concentration of phages assembled in our cell extracts P15 and E10, which had the most promising results in our cell extract quality control. We compared our extracts to the commercial extract (myTXTL) and saw a similar performance.

All in all our extract has the same phage assembly potential as the commercial cell extract. Moreover, lyophylization, which makes the cell extract more long lived, does not reduce the effiency of bacteriophage assembly. We concluded that phages could be assembled on site in a durable lyophilized cell extract.

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Comparison of assembled T7 phage in our extracts (P15 and E10) in comparison to the commercial extract (myTXTL). Blue bars indicate an assembly within fresh extract, whereas red indicates an assembly in a lyophilized cell extract.

Bacteriophages Can Be Assembled Independent of the Living Host

Phactory has is the ability to assemble various bacteriophages, in a bacteria-independent manner. To underline this feature and demonstrate universal applicability, we assembled a variety of different E. coli phages, both DNA and RNA-based.



The successful assembly of all phages was confirmed by plaque assay and transmission electron microscopy (TEM). In addition, DNA encoding for NES and FFP phages was used to perform assembly of these phages in our cell extract. However, we were not in possession of the respective host bacterial strains and therefore could not demonstrate successful assembly.

Pathogenic bacteria such as salmonella, pseudomonas and staphylococcus are prone to develop multi-drug resistance and pose an urgent or serious threat (Centers for Disease Control and Prevention, 2013. Antibiotic/Antimicrobial Resistance.). Therefore, to fulfill this medical need, phages specific for these bacteria should be assembled next in our cell-free system. Potentially, this would require co-expression of the respective sigma factors that are needed for initiation of transcription.

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Overview of the successfully assembled phages. MS2 (RNA-phage), T4 (DNA phage), T5 (DNA phage), T7 (DNA phage), CLB-P2 (clinically relevant), CLB-P2 (clinically relevant), GEC-3S P2 (clinically relevant).
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Phage MS2.
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Phage T4.
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Phage T5.
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Phage T7.
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Phage CLB-P2.
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Phage CLB-P3.
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Phage GEC-3S.
TEM class averages of phages assembled in cell extract. We assembled the phages MS2, T4, T5, T7 and the clinically relevant phages CLB-P2, CLB-P3, and GEC-3S.

DNA Concentration Determines Phage Titer

Bacteriophage Titers Correlate With DNA Concentration

To prove the influence of the DNA concentration on the bacteriophage titer, cell extract reactions were prepared with varying T4 DNA concentrations. The bacteriophage production was performed. The titer of the bacteriophages was measured with the top agar method and the formed plaques were counted. The increase in DNA concentration results also in an increase in the bacteriophage concentration. This increase is nonlinear and our model predicted. This finding is probably due to a critical concentration of phage proteins, which have to be reached for capsid head assembly (similar to a critical micelle concentration).

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Assembly of the T4 phage depending on the DNA concentration.
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Assembly of the T7 phage depending on the DNA concentration.
Cell-Free Systems Replicate Phage Genomes

The DNA sequence added to the cell-free system serves as the template for the required phage. We saw, that DNA-Polymerases can amplify the DNA segment, multiplying the amount of DNA in the cell-free reaction.

To assess this effect and its dependence on deoxynucleotide triphosphates (dNTPs), we performed an absolute quantification of T7 DNA in the cell-free reaction by quantitative PCR (qPCR). A standard curve with a serial dilution of T7 DNA. We used the TXTL qPCR protocol (add link). We used two selected cell extracts from us (P15 and E10), which reached similar phage titers compared to the commercial cell extract (myTXTL) in previous experiments. We compared the replication potential in comparison to myTXTL.

The addition of dNTP to the reference reaction leads to an increase in DNA concentration by a factor of 15 in the reaction after 4 hours (290 ng compared to 19 ng). This is higher than in the myTXTL reaction without additional dNTPs, in which there is a 1.8-fold increase in DNA (91 ng compared to 51 ng) after the 4-hour reaction. The home-made cell extracts P10 and E15 however do not resemble this behavior.

It would be desirable to increase DNA amplification in our cell extracts. We therefore conducted a cause analysis, focusing on the T7 replication system. A more than 250-fold increase in processivity of the T7 DNA polymerase is achieved by its binding behavior to E. coli thioredoxin1. We suspected reduced presence of this factor in our cell extract. Thioredoxin could be added to a phage assembly reaction to further test these assumptions. However, our proteome analysis did not confirm that there were low levels of thioredoxin present in our cell extract.

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DNA replication within cell extracts, E15 and P15 are self prepared cell extracts, which reached similar phage titers compared to the commercial cell extract (myTXTL). ctrl = control without dNTPs.

Modelling Phage Production in Cell Extract

Modular Bacteriophage Composition

In the TX-TL system should be possible to modify phage proteins without altering their genome. This was attempted by modifying HOC (highly immunogenic capsid protein), which is part of the capsid protein structure of the T4-phage. Therefore, His-TEV-YFP-HOC was separately expressed and the purified protein was applied to our phage assembly.

For protein modification of the T4 capsid protein HOC, a plasmid for protein expression was cloned and His-YFP-HOC (82kDa) was expressed. The plasmid was transformed into BL21, expressed and puryfied by nickel affinity chromatography and gelfiltration.

FILM

MODEL

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Elution peaks of His-HOC-YFP from nickel chromatography (A) and gelfiltration (B) with corresponding 15% silverstained SDS-PAGE.

After the two chromatography steps, the purified protein had a final concentration of 70µM and no by-products were visible by silver staining. The CD-spectra (minima of 218nm) of the protein corresponds to the model and the Ramachandran plot indicates that the protein was not denatured during purification. Then, the purified protein was intentionally denatured by thermal transition. Thereby, it was confirmed that the protein is stable below 40°C. This is of importance, as phage assembly is performed at 29°C.

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CD spectra of His-YFP-HOC with the specific minimum at 218 nm.
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Thermal transition of His-YFP-HOC in correlation with the absorbance.
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Ramachandran plot based on the amino acid sequence.

The purified protein was added to the assembly mix. Bacteria were transfected with the modified phages. Unbound phages and protein were removed by centrifugation. Fluorescence was measured in dependence of the proximity to the bacteria. Theoretically, YFP intensity should correlate with the binding of YFP-HOC modified phages to the bacteria.

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Bacteria infected with (A) and without (B) YFP modified phages

The purified protein was added to the assembly mix. Bacteria were transfected with the modified phages. Unbound phages and protein were removed by centrifugation. Fluorescence was measured in dependence of the proximity to the bacteria. Theoretically, YFP intensity should correlate with the binding of YFP-HOC modified phages to the bacteria.


Quality Control

Quality control covers several aspects of phage manufacturing including phage functionality, endoxin levels and DNA purity. We found that

  • we are able to produce functional phages in our cell extract
  • the cell extract of our optimized strain has an endotoxin content below the detection limit and our regular self-produced cell extract has fewer endotoxins than the commercial cell extract
  • next-generation sequencing allowed us to accurately quantify contamination
  • phenol-chloroform extraction leads to a large amount of contaminating DNA which complicates phage assembly
  • next-generation sequencing helped us to improve our purification protocols, leading to improved phage assembly

Assessing Phage Functionality by Plaque Assays

We performed a Plaque Assay to determine the titer of viable phages in our assembly batch. By creating serial dilutions, we were able to calculate a plaque forming units/milliliter (PFU/ml) value. The plaque assay protocol (link) was used.

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A generic square placeholder image with rounded corners in a figure.

Assessing Endotoxin Levels

Msb-B Knockouts Reduce Endotoxin Levels By 49-Fold

Endotoxins are pyrogens deriving from gram-negative bacteria. Their mini from any pharmaceutical product is mandatory. Therefore, or Phactory, we engineered an E. coli strain lacking lipid A, a major endotoxin component and used this bacterium to produce our cell extract To evaluate endotoxin content of different cell extracts, a Limulus Amebocyte Lysate (LAL)-test was performed according to the supplier manual. As a reference, we compared the cell extract from our msbB-deficient strain (K2) to a cell extract from a wild-type strain (K4) as well as a commercial cell-free system (myTXTL, Arbor Biosciences). A solution with live E. coli served as a positive control.

Compared to the K4 strain our msbB-deficient K2 cell extract had 49-fold reduced endotoxin levels (0.06 EU/ml compared to 2.94 EU/ml). Other cell extracts such as the P15 cell extract (3.83 EU/ml) and the commercial myTXTL (4.65 EU/ml) had even higher endotoxin contents.

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Endotoxin content in different cell-extracts determined by LAL-Test. Error bars indicate standard deviation of the measured plateau values. Error bars indicate SD

A calibration curve using known endotoxin concentrations is required for the LAL-Test. A dilution series ranging from 0.625 EU/ml to 5 EU/ml. The fitting curve is used to interpolate the concentrations in the unknown sample. The linear fit of the calibration curve had a R2 of 0.98, an intersection with the y-axis at 0.38 and a slope of 0.39 ml/EU. These values are in accordance with the requirements of the LAL-Test manufacturer.

Removal of endotoxins is impeded by their tendency to form stable interactions with other biomolecules2. Our method of preventing the lipid A biosynthesis is therefore superior to extensive isolation steps required for removing endotoxins in conventional phage production.

Sequ-Into Allows For Accurate Detection of DNA Contamination Levels

The laboratory team sequenced T7, 3S, NES and FFP bacteriophages genomes (preparation protocols).

Experiment Sequencing Time Reads Sequenced Base-pairs sequenced
T7 12h 02min 424,198 1.27 × 109
3S 3h 42min 77,092 2.53 × 108
NES 3h 58min 39,501 2.31 × 108
NFFP 5h 42min 27,633 1.23 × 108

The main task after receiving genomes was to assemble the phage genomes from the Nanopore reads without the reference genome and gain the origin sequence. There are several tools available, but for minION Nanopore recommended tools are canu and miniasm, of which we finally used the latter.

Despite an excellent lab team we have been confronted with a major problem: contamination. Contamination is a problem regarding the therapeutic usage of the final phage extract, but also an important factor in the bioinformatics pipeline because contamination-based reads can confuse the assembly process. We thus developed sequ-into to detect the contamination and also get rid of contamination-originated reads. In the context of our project, several DNA purification protocols were evaluated with sequ-into and allowed iterative engineering cycles in Phactory, leading to unparalleled purity of up to 96% (bases sequenced).

While evaluating the sequencing data with sequ-into we noticed that in the first 10% of the sequencing time of each experiment, more non-target reads were sequenced than in any latter time interval. Moreover we found that this also holds true for the first x sequenced reads, which allowed us to setup sequ-into such that it only analyses the first 1000 reads of a minION sequencing experiment, speeding up computation and enabling an en-run analysis.

More non-target reads sequenced in the first 10% of the sequencing time of each experiment.
Also in the first x sequenced reads.

After getting rid of the contamination we noticed a non-uniform coverage in the phage genome assemblies after re-aligning the reads to the assembly.

Rearranging the middle part which initially was “over-expressed” and re-assembling led us to the expected uniform coverage of the de-novo genome sequence after re-aligning the input reads. Finally, we could predict coding-sequences and visualize all descriptive statistics in genome diagrams.

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3S
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FFP
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NES

More details at Data Analysis page.

Encapsulation

Droplets are Monodisperse

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perfectly circular droplets
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Animated Zoom Through Z-Stack
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monodisperse droplets

Discussion goes here

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growh fermenter vs. shaking flask side by side with FI mtq2

Bacteriophages Encapsulated In Alginate Can Withstand Gastric Acid

Discussion goes here

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growth fermenter vs. shaking flask side by side with FI mtq2

Discussion goes here

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growh fermenter vs. shaking flask side by side with FI mtq2

Phactory yields phages with toxicity levels that allow oral administration to the patient. However, oral delivery requires protection of the phages from rapid degradation in the acidic gastric juice, while direct intravenous application requires additional purification steps. To overcome these hurdles, we prototyped two 3D-printed fluidic devices that can be assembled for less than $5. For oral application, we built a nozzle to encapsulate the phages in monodisperse calcium-alginate microspheres protecting them in the stomach. The alginate solution, ejected from a dispenser needle with a syringe pump, was sheared off by a parallel stream of air. Our results show that after 1 hour incubation in simulated gastric fluid, active phages are successfully released in simulated intestinal fluid. For intravenous administration, we can purify the bacteriophages from the remaining cell-extract via fractionation in a pressure-driven size-exclusion filter system. Additionally, we built microfluidic hardware for our human practice project OraColi.

- Alginat für lokale pH wert erhöhung im magen und auflösung in chelatoren(darm), da Ca2+ Ionen quervernetzen

- Enkapsulierung durch Co-Flow System. Druckluft schert Tropfen von Spritzennadel ab, Düse == Hardware  Quervernetzung 1h in CaCl2 Lsg  Waschen  Verifikation durch Mikroskopie  Fertig für Einsatz (insg. Ca 1.5-2h)

Experimente 1. 3D Modell von SYBR Gold gelabelten Phagen im Droplet durch z-Stack (BF/GFP) 2. Darkfield Bilder von gelabelten Droplets (bild) 3. Droplet Zusammensetzung (Viskosität zweier Alginate) 4. Droplet Größen bei Flussrate und Druck 5. Verhalten im Magen bzw. saurem Millieu (pH: 1) und Pepsin (1h @37°C, 10h @ RT) -> Phagen Degradation (barplot) 6. Verhalten im Darm bzw. pH 7 und Pankreatin (2h @ 37°C) ->Phagen relase über Zeit (plot)