Mice, rats, and the secrets of the genome.

It’s just over a decade since the completion of the first working draft of the human genome was announced, and seven years since the publication of the complete sequence, but in that short time the impact of this new knowledge on all areas medical research has been immense. Sequencing the human genome was a huge achievement, but having got the sequence an even greater task confronts scientists – working out what it all means.  To do this scientists have studied the natural variations that exist between individuals, and have also sequenced the genomes of a wide variety of species, some closely related to us, others separated from us by hundreds of millions of years of evolution. Scientists can analyze the similarities and differences between the genes of different species, and examine how changes to the structure or regulation of these genes are reflected in physiology.  In many cases it is also possible to use genetic modification to study the function of conserved genes in other species in ways that are just not possible, for technical and/or ethical reasons, in humans. A study published a couple of weeks ago in the scientific journal Nature provides an excellent example of how animal research contributes to our understanding of the human genome.

Blood flowing through the heart, but the cholesterol building up in an artery can cause a heart attack. Image courtesy of the British Heart Foundation

As the cost of technology such as DNA microarrays has fallen genome-wide association studies (GWAS) have become an increasingly popular way of examining the relationship between genetic differences between individuals and particular diseases. In a GWAS the whole genome of many individuals is screened for variations, and then any association between those variations and particular phenotypes or diseases is determined.  Tanya M. Teslovich and colleagues (1)  analysed the genomes of over 100,000 people who had been enrolled in 46 separate clinical studies, and identified 95 genes that have variants associated with increases in blood lipid (fat and cholesterol) levels.  One of the problems with GWAS studies is that while they are often good at identifying genes that are associated with a disease, they are not so good at identifying which genetic variations actually cause disease, or explaining how the genetic variations contribute to disease.  This is where Tanya Teslovich and colleagues scored highly; they were able to show that 14 of the 95 lipid-associated genes were also associated with the development of coronary artery disease, supporting the proposition that elevated blood lipids contribute to coronary artery disease. They also found that overall the effect of the variants was additive, the more risk variants of these 95 genes you have the greater your chance of having elevated blood lipids.

So that established that the gene variants were associated with elevated blood lipids, but to use that information to develop new treatments you need to know how the particular gene affects lipid levels. As you might expect many of the 95 genes identified were already known from previous studies to be involved in the regulation of blood lipids, and in several cases their precise role has been thoroughly studied. However, several of the genes had not been implicated in regulating blood lipids before, and the team decided to use genetically modified mice to investigate their function.  They injected viral vectors into the liver of the mice that contained either an extra copy of the gene being studied, to increase expression of the gene, or a short-hairpin RNA, to target the gene for knockdown via RNAi. This allowed them to discover that one gene, GALNT2, decreases levels of high-density lipoprotein cholesterol (HDLC), the so-called “good cholesterol”, while two other genes, Ttc39b and Ppp1r3b, increase  HDLC.

Another associated paper (2) in the same issue of Nature takes the analysis even further. Several studies, including the GWAS performed by Tanya M. Teslovich and colleagues, had demonstrated that variations in a particular region of chromosome 1 known as 1p13 were associated with high levels of Low-density lipoprotein “bad” cholesterol (LDLC) in the blood and heart disease, but that these variations were not within the coding sequence of any genes, so they would not affect the structure of any proteins. They first show through genetic studies of human subjects and human liver tissue culture that variations at 1p13 affect the expression of several genes –  and hence the amount of protein produced by those genes – and that one particular variation creates a binding site for the transcription factor C/EBP. Transcription factors are proteins that regulate the expression of genes, and this particular site altered the levels of a gene named SORT1. But what does SORT1 do? To answer this they again turned to GM mice, using virus vectors that specifically reduced or increased the levels of SORT1 in the mouse liver. Reducing or eliminating SORT1 expression in the mouse liver led to a reduction in the levels of LDLC in the blood, and that this was found to be due to SORT1 regulating the production of very-low-density lipoprotein (VLDL), a precursor to low-density lipoprotein, in the liver. As a result of this work a whole new pathway for the regulation of blood lipids has been uncovered, one that may offer new opportunities to scientists developing treatments for hypercholesterolemia.

As a BBC news report indicates, the identification of these genes and the elucidation of their function may aid the development of better diagnostic tools to identify those at risk of heart disease, and ultimately the development of better treatments.

These studies illustrate how important animal models, particularly GM mice, are to efforts to decode the human genome. As the biosciences move towards a more systems based approach to biology, one where knowledge of how networks of genes interact to produce a particular physiological or clinical outcome is applied to areas such as toxicology, the information that studies of GM animals can yield will become increasingly important. This importance has not gone unrecognized by the wider scientific community, the 2007 Nobel Prize in Medicine was awarded to Mario Capecchi, Sir Martin  Evans, and Oliver Smithies for their discoveries of  “ principles for introducing specific gene modifications in mice by the use of embryonic stem cells”.

With this in mind let’s turn briefly to another GM animal that’s been in the news lately – the rat.  While GM mice have become a mainstay of modern scientific research the rat has lagged behind, which is a shame since the larger size, longer lifespan, and more complex behavior of rats make them more effective animal models than mice for studying many human diseases, particularly neurological conditions. The lack of GM rats was due to the difficulty in growing rat embryonic stem cells (ESCs) in culture, a necessary first step in the most common methods of producing GM animals. Last year Matthew Evans wrote an article for the Pro-Test blog discussing how scientists at the University of Cambridge and the University of Southern California had developed a method for growing rat ESCs in culture, and how this achievement paved the way for the production of transgenic rats. Last week the same group of scientists announced that they had employed this method to produce GM rats whose p53 gene, a key tumor suppressor that is defective in several cancers, was deleted.

The humble lab rat, now available in GM. Image courtesy of Understanding Animal Research.

This is not the first time GM rats have been produced, as for the past few years scientists have been able to use zinc finger nucleases to knock-out rat genes. Zinc fingers, so called because one or more zinc ions stabilizes the finger like structure, are found in many proteins, allowing them to bind specifically to a structure within a cell, such as a particular DNA sequence. Scientists found that they could produce artificial zinc fingers that recognize particular genes, and then join a nuclease to that zinc finger so that it cuts out the target gene. This method, discussed in more detail in this excellent article by Elie Dolgin, allows scientists to knock-out genes in rat embryos. The downside of the zinc finger nuclease technique can only be used to knock-out genes, whereas the ESC method is more flexible – it can also be used to add extra copies of a gene, or to delete genes in specific tissues or stages of development.

It is now clear that the rat is joining the mouse at the forefront of the GM revolution in medicine, and that has to be great news for medical science and the patients that depend on it.

Paul Browne

1)      Teslovich T.M. et al. “Biological, clinical and population relevance of 95 loci for blood lipids” Nature Volume 466, Pages 707-713 (2010) DOI:10.1038/nature09270

2)      Musunuru K. et al. “From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus” Nature Volume 466, Pages 714–719 (2010) DOI:10.1038/nature09266

One thought on “Mice, rats, and the secrets of the genome.

  1. The Scientist reports on another interesting approach. Using the analysis of gene expression in different tissues of inbred rat strains, Norbert Hubeer and colleagues were able to identify gene networks and the genetic elements that control them, focusing on a network of genes controlling inflammation that is regulated by the transcription factor interferon regulatory factor 7 (IRF7). They were able to study the regulation of IRF7 by using siRNA to reduce expression of a gene they suspected controlled IRF7. They were then able to show that the same network of genes regulates inflammation in humans, and that it is involved in type I diabetes.

    http://www.the-scientist.com/blog/display/57675/

    It’s an interesting approach that may help to identify genes and networks that play an important role in regulating physiological processes, but which are not picked up by GWAS because they don’t vary much between individuals. Some of these genes may prove to be useful targets for the development of new therapies.

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