Team:MIT/Results/
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<h2>Transfection Using Lipofectamine 2000 (Invitrogen)</h2> | <h2>Transfection Using Lipofectamine 2000 (Invitrogen)</h2> | ||
- | To introduce our engineered genetic parts into mammalian cells, we employed the Lipofectamine 2000 reagent from Invitrogen, and obtained at best an 80% transfection efficiency for Hek293 cells and 10% transfection efficiency for CHO cells. | + | To introduce our engineered genetic parts into mammalian cells, we employed the Lipofectamine 2000 reagent from Invitrogen[http://www.invitrogen.com/site/us/en/home/Products-and-Services/Applications/Protein-Expression-and-Analysis/Transfection-Selection/lipofectamine-2000.html], and obtained at best an 80% transfection efficiency for Hek293 cells and 10% transfection efficiency for CHO cells. |
<h4>Figure 1: Hek293 Lipofectamine Transfection Results</h4> | <h4>Figure 1: Hek293 Lipofectamine Transfection Results</h4> |
Revision as of 21:15, 27 September 2011
DNA Delivery Systems and Data Collection
Transfection Using Lipofectamine 2000 (Invitrogen)
To introduce our engineered genetic parts into mammalian cells, we employed the Lipofectamine 2000 reagent from Invitrogen[http://www.invitrogen.com/site/us/en/home/Products-and-Services/Applications/Protein-Expression-and-Analysis/Transfection-Selection/lipofectamine-2000.html], and obtained at best an 80% transfection efficiency for Hek293 cells and 10% transfection efficiency for CHO cells.Figure 1: Hek293 Lipofectamine Transfection Results
A
B
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(1A) This scatter plot shows the distribution of the Hek293 population after it was transfected with the following DNA parts: Hef1a-LacO:eYFP and Hef1a:mKate, both of which were constitutively active, expressing yellow and red fluorescent proteins respectively. We observe a distinct shift of approximately 83% of the population in their eYFP fluorescence (FITC channel), while we observe a 69% shift in mKate fluorescence (PE-TexasRed channel). (1B) Histogram of signal intensities of the above data. (1C) The negative control sample was transfected with plasmids containing no functional promotor-gene pairs.
We were then interested in the efficiency of multiple plasmid transfections. Previous work suggests that the probabilities of uptaking different plasmids is not independent. Cells that have been succesfully transfected with one plasmid are more likely to also have been transfected with another. To show this correlation, we decided to see what percentage of cells that took up the Hef1a:mKate plasmid also took up the Hef1a-LacO:eYFP plasmid. In order to evaluate the correlation, we took all events above the observed basal PE-TexasRed fluorescence level and examined their FITC profile. We observe in the below graph that more than 99% of the red population display yellow fluorescence above basal levels (2A). We make use of this high level of correlation later.
Figure 2: Hek293 Lipofectamine Multiplasmid Transfection Results
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Figure 2: Hek293 cells were transfected with equal amounts by weight of Hef1a:mKate and Hef1a-LacO:eYFP plasmids. (2A) Scatterplot displaying fluorescence levels of events as measured by flow cytometry. Events falling below the basal threshold for red fluorescence were omitted to observe "red" population. We observe that along the FITC axis, more than 99% of the red population fall above the threshold. (2B) Histogram of the same data
Although each of our constructed DNA parts contains Gibson sequences flanking the promoter and gene of interest, we have not yet used the Gibson reaction to piece together two or more promoter-gene pairs. The construction involved in doing so would involve the generation of a large library of promoter-gene pairs with various Gibson sequences that would be compatible with those of other parts that we intend to experiment with. In short, we have not yet engaged in Gibson-reacting parts together, and instead preserve our experimental flexibility through co-transfection of multiple plasmids.
CHO Lipofectamine Transfection Results
Control CHO cells:
In the flow cytometry scatter plot and histogram above we see the fluorescence distribution of a population of CHO cells transfected with Lipofectamine 2000 and Hef1a_eBFP2, a constitutive blue color. We note that CHOs naturally emit autofluorescence, as seen in the small tail pointing upwards in the DAPI (blue) channel. This tail accounts for 8% of the population, and after transfection, only 14.5% exhibit blue fluorescence beyond the majority of the CHO population, giving us thus approximately 6.5% transfection efficiency.
Transfection By Nucleofection
Although Hek293 cells are very easy to transfect and are therefore a very suitable target for demonstration, we found during the summer that cadherins are endogenously expressed, and this limits their experimental flexibility when it comes to cell-cell adhesion. CHO cells, however, do not have the same problem. Seeing also that the Notch-Delta system was previously characterized by the Elowitz group using CHO cells, we decided to open up a parallel research channel with CHO cell transfections. As documented above, however, lipofectamine proved to be an exceedingly difficult and somehow unsuccessful method of transfection into CHO cells, so we thus moved to nucleofection.Parts Constructed
Our Favorite Parts
Type: Regulatory Length: 1275
This part encodes a promoter with low-level, constitutive activity that can be repressed by variants of the LacI transcriptional repressor. Repression by LacI-KRAB through chromatin packing is quite effective.
Type: Regulatory Length: 220
This part encodes a promoter that is inducible by variants of the Gal4 transactivator and off otherwise.
Type: Regulatory Length: 1275
This part encodes a promoter with low-level, constitutive activity that can be repressed by variants of the LacI transcriptional repressor. Repression by LacI-KRAB through chromatin packing is quite effective.
Other Parts We Like
Parts Characterizations
The characterization of newly constructed biological parts is ADD TO BLURB
List of characterizations
- Delta-Notch interaction
- rtTA3/TRE promoter
- Gal4/UAS promoter
- LacI/Hef1a-LacO repressor
- Gal4→LacI¬rtTA3→Reporter cascade (!)
- CMV-TetO promoter
- Mnt-VP16/Mnt promoter
- CI434-VP16/CI434 promoter
Delta-Notch interaction
Explanation:
EXPLAIN HERE
rtTA3/TRE promoter
Explanation:
EXPLAIN HERE
Gal4/UAS promoter
Explanation:
EXPLAIN HERE
LacI/Hef1a-LacO repressor
Explanation:
EXPLAIN HERE
Gal4-VP16→LacI¬rtTA3→Reporter cascade
Explanation:
Here we show an experimental result of an example of what we call our internal processing module, which is essentially a cascade of several transcription factors and their corresponding binding sites. Taking the individual functional transcription factor systems characterized above, we combine them into a cascade to allow for higher-level control. Our system cascades can be any combination of the promoters UAS (which is activated by Gal4-VP16), TRE (activated by rtTA3 in the presence of doxycycline), and Hef1a-LacO (repressed by LacI in the absence of IPTG). In this particular experiment, we used the following genetic construct: Hef1a_Gal4-VP16, UAS_LacI, Hef1a-LacO_rtTA3, TRE_Delta-mCherry. The constitutive Hef1a_Gal4-VP16 is intended to mimic the signal that would come from an activated Notch protein, and the final repression of our Delta-mCherry protein through repression of the Hef1a-LacO_rtTA3 intermediate part mimics the cellular response of turning off Delta production. The concentration of IPTG and rtTA3 present would then serve as an external control of the extent to which Delta production is reduced.
The above result, obtained from flow cytometry by measuring the mCherry fluorescence of transfected Hek293 cells in the presence of different IPTG and doxycycline concentrations, are as we expected. In the absence of doxycycline, rtTA3 cannot activated the TRE promoter, and with increasing IPTG concentration, expressed LacI cannot inhibit the Hef1a-LacO promoter, and so we see a rise in Delta-mCherry due to this.
CMV-TetO promoter
Explanation:
EXPLAIN HERE
Mnt-VP16/Mnt promoter
Explanation:
EXPLAIN HERE
CI434-VP16/CI434 promoter
Explanation:
EXPLAIN HERE
Patterning Modeling Results
Semon's Modeling Results goes herePatterning Experimental Results
Here we show the results that we have obtained thus far in using our Notch-Delta system. We have tried various combinations of Hek and CHO cell co-cultures to show that the Notch-Delta system is in fact functional.Cell Adhesion Experimental Results
Cadherins are an important Calcium-dependent surface protein that can bind to same-type cadherins on other cells. The existence of different types of cadherins allows for the the development of highly organized tissues, as the sequential expression of various types of cadherins in various cells drives the development of complex three-dimensional structures.With this in mind, we brought cadherins into our project with the goal of being able to directly control cadherins in mammalian cells, leading to the formation of self-adhesive patterns when tied into the Notch-Delta and internal logic processing systems. Below we have some initial results.
Initial results.
Attributions
Our instructors were very helpful not only in giving feedback on our designs, cloning strategies, and data, but also in training us for lab work. The training for tissue culture work was conducted by Linda Stockdale in the Griffiths lab. Gibson assembly techniques and FACS training from Deepak Mishra, one of our instructors.
Other than the initial training, all work was done by our undergraduate team.
Special credit belongs to Semon Rezchikov for simulations and modeling, Jenny Cheng for animations, and Tiffany Huang for wiki design.