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Significance of Cell Type in Genetic Studies Print E-mail
SciMed - Genetics & Genome
TS-Si News Service   
Sunday, 03 January 2010 16:00

Significance of Cell Type in Genetic Studies

Groningen, Netherlands. Choosing the right cell type is particularly important in genetic studies since, as Alice Gerrits shows, genome variations influence gene activity and are strongly dependent on the cell type in which the genes are active. All of the cells in our body contain essentially the same DNA (genome), but they do not all exhibit the same functions. This is usually because different sets of genes are active in different types of cells.

Gerrits studied four blood cell types in 25 mouse strains with slightly different genomes, looking for differences in gene activity between mouse strains and determining which genome pieces were the cause.

Gerrits discovered that some had the same effect on the activity of genes in all four cell types. Yet interestingly, a far larger number of pieces exerted an effect on gene activity mostly in one, two or three of the four cell types.

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Alice Gerrits and her collaborators published their findings in PLoS Genetics.

Puzzling with genomes

The 25 different mouse strains were generated many years ago by crossing two clearly different laboratory mice with each other. The two mice differed, for example, in fur colour, average life expectancy and the number of blood-forming stem cells in their bone marrow. By repeatedly crossing the offspring of the two mice 25 different strains of mice were eventually obtained, all of which had a unique mosaic of the genomes of the two starting mice.

Molecular markers were used to indicate which pieces of the genome originated from each of the two mice. By comparing variations in the genome of the 25 different mouse strains with variations in gene activity, Gerrits could see which pieces of the genome exerted an influence on the activity of which genes.

Far-reaching implications

It is known that some variations in the genome play a role in the development of diseases such as leukaemia. Gerrits' research revealed that variations in the genome do not always have the same effect on the activity of genes, but that this effect is strongly dependent on the type of cell in which these genes are active.

This means that in future genetic studies as many different cell types as possible must be examined. This is the only way to properly investigate how variations in the genome can lead to changes in gene activity or eventually even to the development of diseases.

Funding This work was supported by a Horizon grant from the Netherlands Genomics Initiative, a Biorange grant from the Netherlands Genomics Initiative/Netherlands Bioinformatics Centre, by two VICI grants from the Netherlands Organization for Scientific Research (NWO) to Gerald de Haan and Ritsert C. Jansen, and by grants from the European Community. Xusheng Wang is supported by the National Institutes of Health (NIH).

Alice Gerrits carried out her research together with Yang Li and Bruno Tesson.
CitationExpression Quantitative Trait Loci Are Highly Sensitive to Cellular Differentiation State. Alice Gerrits, Yang Li, Bruno M. Tesson, Leonid V. Bystrykh, Ellen Weersing, Albertina Ausema, Bert Dontje, Xusheng Wang, Rainer Breitling, Ritsert C. Jansen, Gerald de Haan. PLoS Genetics 2009; 5(10): e1000692. doi: 10.1371/journal.pgen.1000692
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Abstract

Genetical genomics is a strategy for mapping gene expression variation to expression quantitative trait loci (eQTLs). We performed a genetical genomics experiment in four functionally distinct but developmentally closely related hematopoietic cell populations isolated from the BXD panel of recombinant inbred mouse strains. This analysis allowed us to analyze eQTL robustness/sensitivity across different cellular differentiation states. Although we identified a large number (365) of “static” eQTLs that were consistently active in all four cell types, we found a much larger number (1,283) of “dynamic” eQTLs showing cell-type–dependence. Of these, 140, 45, 531, and 295 were preferentially active in stem, progenitor, erythroid, and myeloid cells, respectively. A detailed investigation of those dynamic eQTLs showed that in many cases the eQTL specificity was associated with expression changes in the target gene. We found no evidence for target genes that were regulated by distinct eQTLs in different cell types, suggesting that large-scale changes within functional regulatory networks are uncommon. Our results demonstrate that heritable differences in gene expression are highly sensitive to the developmental stage of the cell population under study. Therefore, future genetical genomics studies should aim at studying multiple well-defined and highly purified cell types in order to construct as comprehensive a picture of the changing functional regulatory relationships as possible.

Author Summary

Blood cell development from multipotent hematopoietic stem cells to specialized blood cells is accompanied by drastic changes in gene expression for which the triggers remain mostly unknown. Genetical genomics is an approach linking natural genetic variation to gene expression variation, thereby allowing the identification of genomic loci containing gene expression modulators (eQTLs). In this paper, we used a genetical genomics approach to analyze gene expression across four developmentally close blood cell types collected from a large number of genetically different but related mouse strains. We found that, while a significant number of eQTLs (365) had a consistent “static” regulatory effect on gene expression, an even larger number were found to be very sensitive to cell stage. As many as 1,283 eQTLs exhibited a “dynamic” behavior across cell types. By looking more closely at these dynamic eQTLs, we show that the sensitivity of eQTLs to cell stage is largely associated with gene expression changes in target genes. These results stress the importance of studying gene expression variation in well-defined cell populations. Only such studies will be able to reveal the important differences in gene regulation between different cell types.

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Last Updated on Sunday, 03 January 2010 14:06