The main objective of the proof of concept is to demonstrate whether or not our project is feasible. We synthetically designed short sequences (mimicking the viral mRNA) that we attempt to detect with our system based on Cas13. To achieve this purpose, numerous steps were required, which are presented below.
The focus of our project is the West Nile Virus (WNV). The sequences were retrieved from the viral genome section of the National Center for Biotechnology Information (NCBI).
On those sequences, a BLAST (Basic Local Alignment Search Tool) was performed, with a maximum target sequence limit at 5 000 (the maximum possible). By fine tuning the parameters “Percent Identity” and “Query Coverage" with values respectively between 85-100 and 95-100, we were able to exclude most of the sequences non-related to WNV.
Partial genome and coding sequences were also excluded from the analysis, leading to a dataset of 223 sequences. Those were then downloaded as fasta files.
The fasta sequences above were subjected to multiple sequence alignment, using the MAFFT tool. The resulting alignment was saved in the Clustal format. In order to visualize the alignment and color the sequences with 100% identity, the Jalview website was used.
The sequences of interest were selected based on a length criterion. The minimum of 25 nucleotides is required, although 28 nucleotides are recommended (28+ nucleotides were used for our project).
The following target sequences were obtained for the WNV, derived from the 223 sequences:
First conserved sequence : Code for a catalytic core domain of Flavivirus RdRp (RNA dependent RNA polymerase).
It make sense that it is relatively conserved as RdRp is responsible of RNA replication of viruses.
Second conserved sequence : Code for a peptidase S7 : NS3 serine protease. Flavivirus like WNV virus encodes
only one polyprotein precursor. This precursor will be able to form mature protein under the action of the complex
NS2B-NS3. Therefore it make sense that this particular sequence is conserved among variants of WNV as it is resposible of proteins production.= https://www.ebi.ac.uk/interpro/entry/InterPro/IPR001850/
Once we identify the sequences to target, the aim was to synthetise them as well as guide RNA, we used Integrated DNA Technologies (IDT) for this. You may ask yourself why use DNA if we are studying RNA viruses. Well, the main reasons are :
Afterward, we employed PCR (Polymerase Chain Reaction) to increase yield of our target, and guide sequences. Different forward and reverse sets of primers were used for this purpose (see tables below) :
You will find below the target DNA sequence after amplification
The synthesis of primers for the guides use the same principle as the target sequences. The difference is that the guide need to be able to hybridize with the 28 nucleotide sequence site of the target, also it contain a scaffold that is specific to the type of Cas used: CasRX or LwCas13a (see Fig 3).
Below is repertoried, the tables containing the sequences of our LwCas13a and CasRX guides.
The sequences were transcribed through T7 transcription. It is a method used for rapidly making a lot of RNA copies using only a single piece of DNA. Accurate and efficient, it possesses the downside of being able to transcribe one sequence at a time, while other techniques are able to do multiple one simultaneously.
The quality of the RNA was assessed using a nanodrop spectrophotometer. Another efficient way to measure RNA concentration, that was not available to us, is to use the Qubit technology. Considering the nanodrop as a tool to get a quick estimation of the concentration, in this way the Qubit is a tool giving an exact measurement. It’s a choice between the speed and the accuracy that must be done when measuring RNA.
Verification of the LwCas13a enzyme functionality was made through a fluorescence detection assay, performed on a Cytation plate reader. Gel electrophoresis was deemed unsuitable, according to the low cutting efficiency, as the band cleavage would not have been observable on a gel. The results of the fluorescence detection are presented in the Results section.
Further informations are available in the: