Uppsala researchers have developed a new method for investigating dynamic processes in large genetic libraries. By using this method to study cell cycle regulation, they help paint a clearer picture of the elusive control mechanism.
Uppsala/Sweden — Modern gene technology gene technology makes it possible to quickly and inexpensively introduce thousands of different DNA modifications in human cells or bacteria to create genetic libraries. The CRISPR/Cas9 system, a.k.a. ‘the gene snipper’, can be modified and used to alter the expression of thousands of different proteins. By labelling each modification with a genetic barcode, it is possible to keep track of which cell carries which change.
At the same time, recent developments in optics and image analysis have made it possible to investigate the chemical processes inside the cell with exceedingly high precision. In principle, it is possible to ‘film’ basic biological processes such as protein expression or cell division at the molecular level inside a living cell.
Now imagine it were possible to combine these advanced optical methods with large-scale genetic engineering. Let us say we are interested in a particular biological process. We could, in theory, identify all the genes involved in this process by observing the biology in a genetic library. Studies that have so far taken several years could be conducted in a single experiment — in theory.
The Challenges are Primarily Technical
The challenges that have previously prevented scientists from putting theory into practice have primarily been technical. How do you keep track of thousands of different cells so that you can first examine their biology and then read the genetic barcode?
A group of Uppsala researchers rose to the challenge, and now presents the Dumpling method (Dynamic u-fluidic Microscopy-based Phenotyping of a Library before IN situ Genotyping). This method enables the examination of an entire library of living cells in a single microfluidic chip. “The method is exceptionally potent and allows us to link genetic information to complex cell behaviour at an entirely new level,” says Johan Elf, Professor of Physical Biology, who leads the study.
Among other things, Elf and his team study the bacterial cell cycle. In all cells, including human cells, it is vital that all DNA is copied exactly once before each cell division. If this is not the case, the cell is at risk of losing genetic material or accumulating DNA with equally devastating consequences. Although cell cycle regulation has been studied for decades, it is still unclear how cells achieve the strict control that is required.
The scientists can develop models that can reproduce the mechanism, but since not all the players are known yet, it’s hard to test if the models are biologically relevant. Daniel Camsund, researcher in molecular cell biology at Uppsala University, states that with this new method, it is possible to identify the unknown components.
Created a Genetic Library
The researchers created a genetic library where they decreased the expression of various known cell cycle regulators as well as some unknown genes and then used the Dumpling method to study how the cell cycle was affected by these modifications. The next step is the game-changer. When all cell cycle data is collected, the nutrient solution in the chip is replaced with a solution that preserves the cells and fixes them in their positions. The genetic barcode can now be read using microscopy and colour-coded pieces of DNA. The scientists use a software to identify the development of the colour code.
From the data, the researchers can identify most of the known regulatory elements, which means that the method works. Since the Dumpling produces time-resolved data, it is also possible to tell how the cell cycle is affected by the various modifications. In the next phase, the team plans to expand the library to include all genes in the bacterial genome. Their aim is to take research one step closer to a complete description of the cell cycle control mechanism.
Publication: 'Time-resolved imaging-based CRISPRi screening' (2019) Nature Methods, DOI: 10.1038/s41592-019-0629-y, Nature