Research

Project Description

Our IMPACT-system contains cells that are capable of detecting phage infections. If our cells are infected with a certain phage they will either up-regulate or downregulate a reporter gene, e.g. GFP, leading to an easily detectable signal. In this section we will explain how we want to get this system to work.

In figure 1 (make something like poster here) a general overview of the system is given. In the first step a CRISPR complex will take up spacers from the invading phage DNA. In the following step the CrRNA, corresponding to the new spacer, is used by dCas, which is not part of the CRISPR-complex, to interfere with the expression of a reporter construct. We will target our dCas9 to the region between the transcription start site and the RBS by inserting a sequence similar to the spacer that is taken up from the phage. To determine which spacer this is we have designed a model, which will be discussed on the next page.

Finally the entire system needs to be constructed in L. lactis, which is a Lactic Acid Bacteria. Working with lactis requires some special attention, it is not as easily transformed as E. coli or B. subtilis and it generally E. coli or B. subtilis promotors don’t work in lactis. Moreover L. lactis is an important organism in fermentation industries, but not a lot of informations or parts can be found in the iGEM database. Therefore we created a fourth sub-project, called lactis-toolbox, in which we share the problems we encountered, our protocols and we have created three new lactis promotor parts. Since our entire project involves around CRISPR-Cas we will start by giving a short summary of all important things that you need to know about CRISPR-Cas before going into more detail on the different sub-projects.

The first sub-project is concerned with the spacer acquisition for which we use a slightly adapted version of the S. pyogenes CRISPR-Cas system. Instead of using the normal CRISPR system we will use one with an hyperactive Cas9 (hCas9). Heler et al. described a single amino acid mutation that could turn Cas9 into hCas9, which resulted in an ~100 fold increase of the spacer uptake rate [Heler (2017)].

We have chosen for the hCas9-variant, because in general the spacer uptake rate of CRISPR-Cas is not very high and therefore the chance that the spacer for which we pre-programmed the cells is take up is also quite low. With the use of the hyperactive

A disadvantage of the hyperactive Cas9 is that it is also known to take up spacers from plasmid or even the genome. When hCas9 is directed to these parts this will result in clearing of the plasmid and the corresponding antibiotic marker, which will lead to cell death. Therefore the hyperactive CRISPR array might have a severe fitness effect on the cells, but because we will use a second Cas9 variant for CRISPR interference it should not interfere with the detection process.

For the CRIPR-interference part we have decided to use a second specialised Cas9 variant, namely dCas9 with a changed PAM preference. Both Cas9s can be directed by the same spacers as their guides use the same crRNA and tracrRNA structure. However, four amino acid substitutions [table …] in Cas9 changes its PAM preference to NGCG [Kleinsteiver et al.]. Our plan is to combine the PAM-altering mutations with those of dCas9 to obtain a dCas9VRER. Using this dCas9 with an altered PAM preference afforded us a great number of benefits.

1. Kleinstiver, B. P. et al. Engineered CRISPR-Cas9 nucleases with altered PAM specificities. Nature 523, 481–485 (2015).
2. Heler, R. et al. Mutations in Cas9 Enhance the Rate of Acquisition of Viral Spacer Sequences during the CRISPR-Cas Immune Response. Mol. Cell 65, 168–175 (2017).
3. Larson et al. CRISPR interference (CRISPRi) for sequence-specific control of gene expression. Nature Protocols, 8(11), pp.2180-2196. (2013).