InterLab Study
It is vital but difficult to characterize a biological part in Synthetic Biology. A series of well characterized parts can be very useful in design of new systems and prediction of function. While comparing the data from different labs could be a challenge. The InterLab Study provides us a chance to share the analyses of data set varying from team to team, whose goal is to obtain fluorescence data of three specific genetic devices.
Overview
This is the first time that we took part in InterLab Study. We successfully measured fluorescence from three devices for GFP expression, and got the date as our expected. At the very beginning, the fluorescence of GFP was observed with our self-made blue light generator whose function was integrated into Captor for convenience, finally. Then, we measured at least three technical replicates and three biological replicates with plate reader, flow cytometry for our extra credit. In addition, we tried to obtain data of these devices with Raman Spectrometer and gain some experience we would like to share here.And we inserted Ribo J between promoter and RBS in order to measure in a more accurate way.
Achievements
Fluorescence was measured with our cheap and convenient self-made Captor.
Fluorescence measurements were obtained from a plate reader in absolute units.
Flow cytometer data were used to explore instantcell-to-cell variation as part of the extra credit assignment relative to standard beads.
Ribo J data (added between the promoter and RBS) was used to reduce the influence of the genetic context.
A new measurement of Raman Spectrometer was first introduced in InterLab Study, and some experience we gained were shared here.
The three required promoters was characterized and submitted to the registry.
Cloning
Devices
Device 1: J23101 + I13504 (B0034-E0040-B0015)
Device 2: J23106 + I13504 (B0034-E0040-B0015)
Device 3: J23117 + I13504 (B0034-E0040-B0015)
Device 4: J23101 + Ribo J + I13504 (B0034-E0040-B0015)
Device 5: J23106 + Ribo J + I13504 (B0034-E0040-B0015)
Device 6: J23117 + Ribo J + I13504 (B0034-E0040-B0015)
Positive Control: BBa_I0270
Negative Control 1: E. coli K-12 DH5-alpha without plasmid
Negative Control 2: BBa_R0040 (pTetR)
DNA Assembly Method
We used 3A Assembly to assemble parts.
Protocol
Following the protocol we used in Notebook.
Validation
All of our devices’ sequencing results were validated by GENEWIZ.
Growing Cells for Measurement
Type of Agar
Ampicillin
Stock: 100mg/ml in 50% ethanol
Working: 100ug/ml
Chloramphenicol
Stock: 35mg/ml in 100% ethanol
Working: 35ug/ml
Equipment and Parameter
Incubator: HZQ-QSmart Incubator, Harbin Donglian Electronic Technology Development CO. Ltd.
Diameter:26mm
Speed: 210rpm
Temperature: 37 degree centigrade
Dimensions of Test Tube: 12 mL
Volume of TestTubes: 10 mL
Protocol
1. Streak out 1 plate per device and control
2. Incubate plates overnight (18 hours later, individual colonies are clearly visible) at 37 degree centigrade
3. Inoculate liquid culture with experimental devices and controls
4. Incubate liquid cultures
5. Incubate for 12 hours (37 degree centigrade, 220 rpm)
Plate Reader Measurement
Equipment
Varioskan Flash Multimode Reader
Thermo Scientific
Read Speed: 6.4 well per second
Software
Run Software Version: Skanlt Software 2.4.5 RE for Varioskan Flash
Current Software Version: Skanlt Software 2.4.5 RE for Varioskan Flash
Protocol
Date: 2015 Aug 12
1. Set our instrument to read OD600
2. Setup a 96-well plate with our cultures
3. Take the measurement and record it
4. Calculate the dilution required for each sample (OD600=0.5)
5. Dilute each sample
6. Remeasure our sample on OD600
7. Recalculate our dilution and remeasure until it's within 5% of 0.5.
Layout
101: J23101+I13504; 106: J23106+I13504; 117: J23117+I13504; 117R: J23101+Ribo J+I13504; D: E. coli K-12 DH5α without plasmid; R: R0040; I: I0270; 1: Technical replicate 1; 2: Technical replicate 2; 3: Technical replicate 3; A:Biological replicate 1; B: Biological replicate 2; C: Biological replicate 3; M9: M9 liquid media; \: Blank control’SF: Sodium Fluorescein (concentration of 0, 10, 20, 40, 80, 160, 320, 640 ng/mL)
Unit
Three technical replicates of M9 liquid media was measured, which were called background value.
A series of concentration of sodium fluorescein was measured, which are 0, 10, 20, 40, 80, 160, 320, 640 ng/mL . And a calibration curve was defined.
Dataset
All samples were cut the mean of background value, and then compared with the calibration curve to get the final dataset in units of fluorescein.
TR: Technical Replicate
BR: Biological Replicate
Flow Cytometer Measurement
Equipment
Epics-XL
Beckman Coulter
Protocol
Date: 2015 Aug 12
1. Start up the instrument and warm up it until it shows “Awaiting Sample”
2. Calibrate the instrument with check beads
3. Mix the fluorescent beads and negative sample (E coli. without plasmid) and dilute it to 1 mL
4. Measure the mix and regulate voltage until the points appear in the appropriate location and set gates
5. Measure the other samples in three biological replicates and three technical replicates
6. Use the Cleanase and ddH2O to clean the instrument as instruction
7. Process the data
Unit
The fluorescence of GFPwas compared with the 2.00μm Fluoresbrite Yellow Green (YG) Microspheres.
Dataset
Raman Spectrometer
Overview
Raman spectra is a kind of scattered spectrums, which can show the quality of different chemical bonds of a molecule. In other words, we can gain the expression of GFP straightly through the quality of its chemical bonds instead of the fluorescence of it under exciting light. We first time introduced this technology into InterLab Study, which could be a potential way of measuring GFP.
Equipment
Raman Spectrometer in Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences (CAS)
Protocol
Date: 2015 Aug 21
1. Grow the samples in LB liquid media with the appropriate antibiotic
2. When OD=0.5, scour off the LB with 0.85% normal saline three times
3. Use capillary to load the culture
4. Measure the GFP with Raman Spectrometer
Dataset
One of the challenges of using Raman spectroscopy for biological applications is the inherent fluorescence generated by many biological molecules that underlies the measured spectra. As a matter of fact, we cannot tell the GFP apart from total proteins. Here’s our result.
The first step of data processing is choosing an internal reference.
We treat phenylalanine as an internal reference because ofthefollowingreasons：
1. Thepeakofphenylalanine (1001/cm) isclear.
2. Phenylalanineisa kind of aromatic amino acids which was synthesized through specific metabolic pathways after the populist acid synthesis. The production of phenylalanine is stable in our samples because there is no circuit have obvious influence on the mentioned pathways.
3. Phenylalanine is a characteristic component of living things, which can help us tell cells from the samples.
Second, we fitted the curve standing for phenylalanine and the difference of intensity of total protein can be seen relatively.
Interestingly, we can see from the figure that the expression of GFP is roughly related to the strength of promoter through the result from plate reader. We thought it is highly likely that the difference of total protein intensity is caused by the GFP expression. Though the data are not ideal, we still thought it is a potential way to measure the specific protein, especially when the specific protein have no fluorescence. The Raman Spectrometer is a convenient equipment that can measure the sample without any other dye, just a database of Raman spectrum of million substance.
Because of the busyness of our main project, we didn’t repeat this measurement. But we have a summary of its announcements and may help the following teams.
1. Dry the sample rinsed by ddH2O on a CaF2 plate before measurement in order to reduce the noise.
2. Focus on the cells is a hard job which may lead to an inaccurate measuring result.
3. It needs a standard protein sample to gain the absolute results.
Tips
Reduce Auto-fluorescence
Before the measurement, we exposed the samples under an incandescent light bulb for 1 min. Here we provided a universal method to decrease the errors in GFP measurement.
As we all know, one big problem in measurement is the high background value of fluorescence, which make results error too big. A main source of background is the auto-fluorescence from the samples. When the expression of GFP is low, the auto-fluorescence can shield the target signal. Because the auto-fluorescence can quench quickly under wide-spectrum visible light, while the fluorescence of GFP will not be influenced.
Reduce Material Fluorescence
Another way to reduce background value is reducing material fluorescence. We chose the 96-well assay plate in black and clear bottom, which is an advice for other teams who want to measure the fluorescence
M9 Medium
Obviously, the LB medium is a common medium used to grow E coli. But the faint yellow background can be a severe interference when measuring fluorescence. M9 medium is a kind of colorless medium that can avoid the problem. Particularly, we added casein enzymatic hydrolysates to provide it with enough amino acid.
Ribo J
Promoter parts are often defined by a relatively short (~50 bp) sequence, but regions 100 bp or more upstream can affect promoter strength, and the effect of remote sequences can be reduced by including an insulator region.Ribo J is a kind of ribozyme-based insulator parts that can buffer synthetic circuits from genetic context. It is a useful tool for measuring the strength of promoters which can make the disruption from genetic context reduced.
As a matter of fact, our results from plate reader and flow cytometer show that the expression of GFP under J23117 promoter has a little difference with or without Ribo J. It proved that the Ribo J did has the function of buffering.
Safety
E. coli K-12 DH5-alpha is the chassis we used to conduct the InterLab Study, whose biosafety level is BSL 1.
Our Personal Protective Equipment (PPE) includesdisposable latex gloves, disposable PE gloves, lab coats, long pants, disposable sterile masks, shoe covers, etc.
Any operation of our experimentsabide by the principlesmentionedinthe Safetypageofour Wiki.
Problems & Challenges
We Got False Products of I13504 through PCR
When constructing our devices, we used PCR to amplify the fragment of part I13504. We use VF2 as forward primer, VR as reserve primer, r Taq (Takara, Dalian) as DNA Polymerase, the pure plasmid (pSB1C3) of I13504 as template in our PCR system. The annealing temperature is 55 degree centigrade, extension time is 1 minute and cycle times is 35. Then, we used XbaI (NEB) and PstⅠ(NEB) to digest the PCR product and use SanPrep Column PCR Product Purification Kit(Sangon Biotech, Shanghai) to gain enzyme-digested product. After ligation, we got DNA transformed into DH5-alpha. But the colonies didn’t turn into green at all after 1.5d in condition of LB and 37 degree centigrade. According to the sequencing data (Genewiz, Beijing), the product was not as expected, with right promoter sequence and wrong GFP sequence.
As a result of it, we speculated the false priming site cause it. So, we extracted the plasmid contained the part and then digested the plasmid instead of amplifying by PCR.By the way, we strongly recommend the strength of promoter or RBS in a few constructed circuits should be tested.
Responsible Person
Creating the Devices: Qikai Qin ,Jinyang Liang
Measuring & Data Processing: Qikai Qin
Technical Support of Raman Spectrometer: Yetian Su
Technical Support of Flow Cytometer: Yu Ma
References
[1] Lou C, Stanton B, Chen Y J, et al. Ribozyme-based insulator parts buffer synthetic circuits from genetic context[J]. Nature biotechnology, 2012, 30(11): 1137-1142.
[2] Zhang P, Ren L, Zhang X, et al. Raman-Activated Cell Sorting Based on Dielectrophoretic Single-Cell Trap and Release[J]. Analytical chemistry, 2015, 87(4): 2282-2289.
