Martínez-Abadías N, Mateu Estivill R, Sastre Tomas J, Motch Perrine S, Yoon M, Robert-Moreno A, Swoger J, Russo L, Kawasaki K, Richtsmeier J, Sharpe J. Quantification of gene expression patterns to reveal the origins of abnormal morphogenesis.
eLife 2018;
7:36405. [PMID:
30234486 PMCID:
PMC6199133 DOI:
10.7554/elife.36405]
[Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 09/09/2018] [Indexed: 01/03/2023] Open
Abstract
The earliest developmental origins of dysmorphologies are poorly understood in many congenital diseases. They often remain elusive because the first signs of genetic misregulation may initiate as subtle changes in gene expression, which are hard to detect and can be obscured later in development by secondary effects. Here, we develop a method to trace back the origins of phenotypic abnormalities by accurately quantifying the 3D spatial distribution of gene expression domains in developing organs. By applying Geometric Morphometrics to 3D gene expression data obtained by Optical Projection Tomography, we determined that our approach is sensitive enough to find regulatory abnormalities that have never been detected previously. We identified subtle but significant differences in the gene expression of a downstream target of a Fgfr2 mutation associated with Apert syndrome, demonstrating that these mouse models can further our understanding of limb defects in the human condition. Our method can be applied to different organ systems and models to investigate the etiology of malformations.
Our development in the womb is complex. Genes need to switch on and off in a precise order, controlling the activity of millions of cells as they work together to form different tissues. For everything to happen smoothly, cells must use instructions provided by each gene exactly at the correct moment and in the correct place. In this biological assembly line, the slightest change can lead to a defect.
Certain genetic mutations can change when and where cells use particular genes, and this can cause errors in development. These kinds of mutations are a common cause of birth defects, but we cannot always pinpoint how they begin. For example, a single mutation in a gene called FGFR2 causes malformations in the head, the heart and the limbs in a rare disease called Apert syndrome.
The first signs that development has gone wrong can be subtle changes in the use of certain genes, impossible to detect with standard methods. As development continues, other processes can mask the impact of problems with certain genes. Ultimately, changes alter the shape of the developing embryo.
Genetically engineered mouse models can mimic the gene defects that cause disease in humans. But current methods are not sensitive enough to detect the very first signs of defects. Now, Martínez-Abadías et al. developed a new method to detect these subtle changes and reveal the precise moment when development starts to go wrong.
In mice, a specific mutation in the FGFR2 gene affects the activity of a series of other genes. To track the levels of one of these genes, Martínez-Abadías et al. marked mouse embryos using a chemical label. Scanning the embryos then revealed the pattern of the cells using the gene during the earliest stages of development. In mice carrying a mutation in the FGFR2 gene, subtle changes in gene expression began just a few hours after their limbs start to develop. But it took another half a day to see the effects of these changes on the shape and size of the growing limbs. This approach revealed changes in gene expression before any problems with development were visible by eye.
Tracking subtle changes in the way cells use genes could allow us to detect the origins of embryo malformations before they appear, pointing at the best moment to start a treatment. With further development, the model could extend to other genes, proteins, animal models and diseases.
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