Proof of concept

Proof of concept

Overview

Along the way of developing and engineering our approach, we ensured validation of every aspect and milestone of the project by relying on the available different methods including experts and literature validation besides dry lab and wet lab experimental validation.

Dry lab Design

We have designed our dry lab based on the steps of our system’s activation. On account of our design complexity, we went through multiple dry lab validations to increase our design reliability. Firstly, we divided our projects into two different main systems: each one was subdivided into multiple steps.

dCas-Syn-RTK

The first system is the dCas-Syn-RTK receptor which is composed of a signal sensing domain (external domain), transmembrane domain, and internal domain. The receptor activation starts by sensing the VEGFA by the signal sensing domain. Thus, we started our receptor’s dry lab validation by testing the external domain structure, function, and stability using different homology modeling tools, docking simulations, and molecular dynamics,respectively.

We also performed directed evolution to scan our receptor’s mutational landscape and define the mutation associated with the highest epistatic fitness and independent score. In response to the receptor activation, the internal domain went through multiple changes to transport the signals intracellularly. These changes started by receptor dimerization which induces Tobacco Etch Virus (TEV) protease assembly to cut the internal domain at TEV Cleavage Site (TCS). We tested the TEV protease assembly by docking simulation between its two domains. Furthermore, we tested its function by measuring its affinity with the TCS. Additionally, we induced single point mutation in each chain’s TCS: Q.L and Q.G ,making our receptor modular and usable for other applications. Dependently, the TEV activation results in dCas9 domains release and assembly. The binding between dCas9 domains were tested by docking simulations with and without its gRNA to ensure that the gRNA wouldn’t affect their assembly. Furthermore, we tested single receptor chain variants, and performed multi-docking simulations for the 2 chains with VEGFA to determine the best combination for our receptors’ chains.

Translational Initiation Device

Our second system is Translational Initiation Device (TID) which is an mRNA based translational switch. Despite the importance of our project’s safety, we put our mRNA stability a priority during the design milestones. Indeed, we measured our mRNA stability with and without the poly A tail which is responsible for a minimal basal activity of our mRNA switch. After ensuring our system’s stability, we conduct by testing our nanobodies affinity to their ligand (MMP-9) based on docking simulations and the complex's stability using molecular dynamics. Based on the previous step, the highest two nanobodies' affinity to the MMP-9 were tested on MCP and NSP3A respectively to measure their effects on the binding affinity to the two poles of mRNA to mediate the closed-loop model sites we put each one to its appropriate site.

Experimental Validation

Plan of validation:

Plasmids


Name Antibiotic selection Reporter gene Tags
pVEGFR1_TEV(C)-TCS(Q G)_NLS-HA-dCas9(C)-VP64 Ampicillin, 100 μg/mL GFP Hemagglutinin(HA)
pVEGFR2_TEV(N)-TCS(Q G)_NLS-HA-dCas9(C)-VP64 Ampicillin, 100 μg/mL Puromycin mcherry fluorescence Hemagglutinin(HA)
L1 PGK-BFP positive control plasmid Kanamycin BFP His tag ,flag
pEYFP-YAP_MS2(N)-(HHR) Chloramphenicol EYFP Flag tag

Structural validation plan:

The structural validation of our receptor’s two chains is done through tagging both of them with HA tag as there is a significant difference in length that would be reflected in western plot.

Moreover, we validate our switch’s structure by tagging NSP3-NB3 and MCP-NB1 with HIS and FLAG tags, respectively. Since both tags are approximately of the same length, they can be validated by detecting their corresponding antibodies with flow cytometry.

Functional validation plan:

Receptor functional validation

The expression of the dCas9-TF Syn-RTK chains is mediated through CMV promoter activity; on the other hand, the gRNA expression is mediated through U6 promoter. The system performance require measuring the target EYFP activation score in two populations:

  • Cells transfected with the two chains of the receptor and minCMV- EYFP without the gRNA expression vector.
  • Cells transfected with the two chains of the receptor and minCMV- EYFP with the gRNA expression vector.

The EYFP activation score has to be measured in the absence and presence of VEGF, within the media, to assess the basal activity of the system.

Switch functional Validation

TID activity will be assessed by simulating the cells in a microenvironment similar to that of an injured wound. Therefore, an MMP-9 expressing vector was needed for the injured cells model. The assessment of TID performance will be done through measuring the reporter gene activation score in multiple populations:

  • Cells transfected with pYAP-MS2(N)-HHR, pNSP3A/(NB3)-MCP/(NB1) and pMMP9 vectors.
  • Cells transfected with pYAP-MS2(N)-HHR, pNSP3A/(NB3)-MCP/(NB1) without pMMP9 vectors.

YAP-1 Functional Validation

After the functional validation of each system independently, we would like to increase the endogenous YAP-1 production through directing our dCas9 system toward its gene using gRNA. Accordingly, the YAP-1 function would be assessed by analyzing the proliferative pattern of these cells through direct cell counting or proliferative assays such as MTT assay.

Our validation plan

Plasmids preparation and gBlocks assembly:

Validation plan of our constructed plasmids

We prepared our IDT gBlocks with restriction enzymes based cloning, then, we redigested the plasmid constructs and ran the digest into gel electrophoresis to characterize the plasmid and the inserted parts. Additionally, we used primers, flanking on the plasmid and the genetic part, and performed PCR to confirm the insert's presence within the plasmid and its correct orientation.

Validation of our system transcript structurally and functionally

We have chosen the HEK293T cell line, instead, due to their high transfection efficiency and rapid growth rate that would allow us to gain our validation result as early as possible.

We planned to study, test, and analyze the results of our validation plan into four different groups of HEK293K culture including two control groups reducing the bias in the results

  • HEK293K transfected with control plasmid only and VEGF negative media
  • HEK293K transfected with control plasmid only and VEGF-positive media
  • HEK293K transfected with the four plasmids expressing the whole system and VEGF negative media
  • HEK293K transfected with the four plasmids expressing the whole system and VEGF-positive media.

Experimental Measures

1- Cell viability assay

2-Transfection validation.

Cell viability assay (MTT) will be used to assess the HEK293k cell integrity after the poly transfection technique, considering the cell toxicity that could result from the transfection.

3-Structural validation of our system ( receptor and switch)

1-Real Time qPCR to measure the expression levels of our genetic circuit. Western blotting and immunofluorescence confocal microscopy images will be processed by imageJ package to quantify our tagged parts and measure the expression of our system.

4-Functional validation of our system.

We have linked the fluorescence reporter gene to our final effector protein to expression level through detecting the potential of our system to induce the expression of (YAP-1)

Reporter gene expression quantification will be done through flow cytometry to measure the reporter gene activation score; moreover Forward scatter and side scatter will be used to identify the cell population and subsequently live single cells and data will be analyzed and compensated using the FlowJo package (FLOWJO LLC).

Real-time qPCR to measure the amount of (YAP) mRNA transcript to assess the functionality of our system.

Hydrogel Characterization

Process

Mix HMW-HA and LMW-HA in distilled water to create a homogeneous solution in a specific proportion depending on hydrogel’s final characteristics, And different ratios will give Hydrogel (A, B, C, D, and E). And then make a BDDE (1, 4-Butanediol diglycidyl ether) in a buffer solution the optimal concentration of BDDE should be determined according to the intended level of crosslinking. Combine the BDDE solution with the HA solution in the presence of a strong base in order to regulate the pH within the alkaline scale (pH 10-12). This makes it easier for the epoxy groups of BDDE to react with the hydroxyl groups of HA. Let the reaction continue for a few hours at room temperature (according to the intended final characteristic). After the reaction is complete, use an acid to neutralize the base and return the pH to neutral. Eliminate any leftover BDDE which is cytotoxic.

Investigations

  1. Swelling Rate:
    The rate at which a hydrogel absorbs water and swells. Swelling rate is an extrinsic property that depends on the surface area to volume ratio of a hydrogel. From expanded hydrogels enables hydrogels to be used in a variety of biomedical applications including in skin enhancement, regenerative drugs, and carriers as bioactive substances. Therefore, basic measurement of the swelling capacity of hydrogels is critical. Hydrogel C has a higher swelling ratio, which can be beneficial for nutrient diffusion and waste removal in wound healing and cell delivery.

  2. Enzymatic Hydrolysis:
    Test the resistance of the hydrogel to enzymatic degradation by incubating it with hyaluronidase, enzymatic hydrolysis condition of hydrogels A–E obtained by BDDE crosslinking with the mixture of HMW-HA and LMW-HA in different ratio. Hydrogel C due to its degradation rate is slow as complete degradation after 24 hours, which is desirable for long-term applications like cell delivery and wound healing.

  3. Crosslinking Rate:
    Evaluate crosslinking extent through methods like spectroscopy or gel permeation chromatography. Hydrogel C having a moderate degree of crosslinking, facilitates the easy diffusion of nutrients, oxygen, thus promoting cell migration and growth.

  4. Rheological Characteristics:
    The measure of flow and deformation behavior of liquids and solids – is an ideal methodology for studying hydrogels. Storage moduli (G0 ) of the hydrogel A–E were higher than loss moduli (G0), indicating that the hydrogel A–E had great viscoelasticity. The higher the storage modulus is, the greater the stiffness will be, the less deformation the material will be, and the stronger the brittleness will be. Hydrogel C, which is not High stiffness or not Low stiffness, but it offers a balance between flexibility and stiffness, which is often preferred for patient comfort and ease of application.

  5. BDDE Residual Rate:
    By measuring the content of remaining BDDE in hydrogel. Hydrogel C, which has low BDDE residues, reducing potential cytotoxicity.

  6. Surface Microstructure:
    It gives details about the arrangement that can be achieved at a level below one micron and with a wide depth of field, Hydrogel pores need to be small to contain Stem cell cells and hinder their uncontrolled movement to the external surroundings, while also being big enough to allow exchange of large molecules between MSC and the external environment. Hydrogel C may result in a higher level of porosity in comparison to other hydrogels. Greater porosity can help improve nutrient and waste exchange, which is advantageous for cell delivery purposes.

References

[1] Xue Y, Chen H, Xu C, Yu D, Xu H, Hu Y. Synthesis of hyaluronic acid hydrogels by crosslinking the mixture of high-molecular-weight hyaluronic acid and low-molecular-weight hyaluronic acid with 1,4-butanediol diglycidyl ether. RSC Adv. 2020 Feb 18;10(12):7206-7213. doi: 10.1039/c9ra09271d. PMID: 35493875; PMCID: PMC9049836.

ARMED FORCES COLLEGE OF MEDECINE
AFCM EGYPT iGEM 2024

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