Developmental Biology Image Gallery

Axolotl Neural Tube Closure

This video captures an overnight timelapse recording of a whole developing Axolotl embryo using the THUNDER Imager Model Organism stereomicroscope. 

The neural crest (NC) is an embryonic cell population with remarkable multipotency and migratory ability enabling it to contribute to diverse organ systems, including the craniofacial skeleton and the peripheral nervous system. The Bronner lab at the California Institute of Technology is interested in understanding the mechanisms underlying the specification, migration, and differentiation of neural crest cells in multiple vertebrate embryos.

Pictured is a cross-section of a chicken embryo at the level of the midbrain showing neural crest cells (magenta) as they undergo epithelial-to-mesenchymal transition and begin to migrate. Neural crest cells normally downregulate levels of the cell adhesion molecule Cadherin-6B (green) and then begin to migrate laterally (left side of image). In neural crest cells in which epithelial-to-mesenchymal transition is experimentally blocked (right side of image), Cadherin-6B levels remain high and the neural crest fails to leave the neural tube epithelium.

Understanding the interplay between the accumulation of DNA damage and age-related pathologies such as neurodegeneration is important. Autophagy is a highly regulated and dynamic process that clears cells of unwanted organelles, and protein aggregates. Double layer membranes called autophagosomes engulf cargo that is destined for the degradation process. Autophagosomes fuse to lysosomes forming autolysosomes that degrade autophagosome-delivered cargo. Autophagy is compromised with age and is known to be dysfunctional in several age-related pathologies.

Using the developing mouse embryo as a model, researchers in Michelle Tallquist’s laboratory at the University of Hawaii at Manoa aim to increase our understanding of human birth defects and diseases. During embryonic development, cell movement, proliferation, and differentiation must be tightly orchestrated in order to generate healthy progeny. The Tallquist group primarily focuses on the function of platelet derived growth factor receptors, PDGFRα and PDGFRβ, in mammalian development and disease.

A major challenge in developmental biology is tracking proteins or cells of interest in vivo. Moreover, organs like the heart tend to be very autofluorescent, which obscures visualization of fluorescently-tagged proteins. Using the THUNDER Imager 3D Cell Culture, the high background fluorescence of a perinatal mouse heart was significantly reduced, allowing for easier identification of PDGFRα-positive cells. 

The research group of Dr. Diana Laird at the University of California, San Francisco, focuses on three interrelated questions: do all developing germ cells have equal potential to give rise to functional eggs or sperm; how do environmental inputs affect germ cells during development, and what is the role of germ cells in ovarian and systemic aging? Using mouse models and human cells, they explore these questions in the real-world contexts of prenatal exposures to endocrine-disrupting chemicals and psychosocial stress as well as genetic causes of infertility such as Fragile X Primary Ovarian Insufficiency.

Large Volume Computational Clearing

One research area in the Laird Lab is aging and ovarian reserve. By using the mouse ovary as a model, postdoctoral fellow Dr. Bikem Soygur is studying germ cell maintenance and aging at various timepoints, from embryonic development through adulthood. One challenge is that the adult ovary is difficult to image, even if it is cleared by optical refractive index matching methods. A key marker Dr. Soygur uses is an antibody against NOBOX (newborn ovary homeobox gene), which is an oocyte-specific homeobox gene that plays a critical role in early folliculogenesis and represents a candidate gene for nonsyndromic ovarian failure.

Using the THUNDER Imager 3D Cell Culture, one can image the whole mouse ovary in minutes, then perform Large Volume Computational Clearing (LVCC) to obtain higher contrast images without the haze of traditional widefield images.