Quantification of gene expression patterns to reveal the origins of abnormal morphogenesis
- The Barcelona Institute for Science and Technology, Spain
- Universitat de Barcelona, Spain
- Universitat de les Illes Balears, Spain
- Pennsylvania State University, United States
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 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 the Fgfr2 mutation that were 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.
Data availability
Our dataset has been deposited to Dryad (doi:10.5061/dryad.8h646s0)
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Data from: Quantification of gene expression patterns to reveal the origins of abnormal morphogenesisAvailable at Dryad Digital Repository under a CC0 Public Domain Dedication.
Article and author information
Author details
Neus Martínez-Abadías
Roger Mateu Estivill
Jaume Sastre Tomas
Alex Robert-Moreno
Funding
European Commission (FP7‐PEOPLE‐2012‐ 597 IIF 327382)
- Neus Martínez-Abadías
National Institute for Health Research (NICHD P01HD078233)
- Joan Richtsmeier
National Institute for Health Research (NIDCR R01DE02298)
- Joan Richtsmeier
Burroughs Wellcome Fund (2013 Collaborative Research Travel Grant)
- Joan Richtsmeier
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Animal experimentation: All the experiments were performed in compliance with the animal welfare guidelines approved by the Pennsylvania State University Animal Care and Use Committees (IACUC46558, IBC46590).
Reviewing Editor
- Clifford J Rosen, Maine Medical Center Research Institute, United States
Publication history
- Received: March 21, 2018
- Accepted: September 9, 2018
- Accepted Manuscript published: September 20, 2018 (version 1)
- Version of Record published: October 23, 2018 (version 2)
Copyright
© 2018, Martínez-Abadías et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Quantification of gene expression patterns to reveal the origins of abnormal morphogenesis
eLife 7:e36405.
https://doi.org/10.7554/eLife.36405
Further reading
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Neurogenesis is the generation of neurons from stem cells, a process that is regulated by SoxB transcription factors (TFs) in many animals. Although the roles of these TFs are well understood in bilaterians, how their neural function evolved is unclear. Here, we use Hydractinia symbiolongicarpus, a member of the early-branching phylum Cnidaria, to provide insight into this question. Using a combination of mRNA in situ hybridization, transgenesis, gene knockdown, transcriptomics, and in-vivo imaging, we provide a comprehensive molecular and cellular analysis of neurogenesis during embryogenesis, homeostasis, and regeneration in this animal. We show that SoxB genes act sequentially at least in some cases. Stem cells expressing Piwi1 and Soxb1, which have a broad developmental potential, become neural progenitors that express Soxb2 before differentiating into mature neural cells. Knockdown of SoxB genes resulted in complex defects in embryonic neurogenesis. Hydractinia neural cells differentiate while migrating from the aboral to the oral end of the animal, but it is unclear whether migration per se or exposure to different microenvironments is the main driver of their fate determination. Our data constitute a rich resource for studies aiming at addressing this question, which is at the heart of understanding the origin and development of animal nervous systems.
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- Developmental Biology
Organ architecture is often composed of multiple laminar tissues arranged in concentric layers. During morphogenesis, the initial geometry of visceral organs undergoes a sequence of folding, adopting a complex shape that is vital for function. Genetic signals are known to impact form, yet the dynamic and mechanical interplay of tissue layers giving rise to organs' complex shapes remains elusive. Here, we trace the dynamics and mechanical interactions of a developing visceral organ across tissue layers, from sub-cellular to organ scale in vivo. Combining deep tissue light-sheet microscopy for in toto live visualization with a novel computational framework for multilayer analysis of evolving complex shapes, we find a dynamic mechanism for organ folding using the embryonic midgut of Drosophila as a model visceral organ. Hox genes, known regulators of organ shape, control the emergence of high-frequency calcium pulses. Spatiotemporally patterned calciumpulses triggermuscle contractions via myosin light chain kinase. Muscle contractions, in turn, induce cell shape change in the adjacent tissue layer. This cell shape change collectively drives a convergent extension pattern. Through tissue incompressibility and initial organ geometry, this in-plane shape change is linked to out-of-plane organ folding. Our analysis follows tissue dynamics during organ shape change in vivo, tracing organ-scale folding to a high-frequency molecular mechanism. These findings offer a mechanical route for gene expression to induce organ shape change: genetic patterning in one layer triggers a physical process in the adjacent layer - revealing post-translational mechanisms that govern shape change.
