| Autor: |
Jiang Y; Translational Medicine Program, The Hospital for Sick Children., Yeung JL; Translational Medicine Program, The Hospital for Sick Children., Lee JH; Translational Medicine Program, The Hospital for Sick Children; Department of Laboratory Medicine and Pathobiology, University of Toronto., An J; Translational Medicine Program, The Hospital for Sick Children., Steadman PE; Neurosciences & Mental Health Program, The Hospital for Sick Children., Kim JR; Department of Biochemistry and Molecular Biology, Smart-Aging Convergence Research Center, College of Medicine, Yeungnam University., Sung HK; Translational Medicine Program, The Hospital for Sick Children; Department of Laboratory Medicine and Pathobiology, University of Toronto; Banting and Best Diabetes Centre, University of Toronto; hoon-ki.sung@sickkids.ca. |
| Abstrakt: |
Adipose tissue is an important metabolic organ with high plasticity and is responsive to environmental stimuli and nutrient status. As such, various techniques have been developed to study the morphology and biology of adipose tissue. However, conventional visualization methods are limited to studying the tissue in 2D sections, failing to capture the 3D architecture of the whole organ. Here we present whole-mount staining, an immunohistochemistry method that preserves intact adipose tissue morphology with minimal processing steps. Hence, the structures of adipocytes and other cellular components are maintained without distortion, achieving the most representative 3D visualization of the tissue. In addition, whole-mount staining can be combined with lineage tracing methods to determine cell fate decisions. However, this technique has some limitations to providing accurate information regarding deeper parts of adipose tissue. To overcome this limitation, whole-mount staining can be further combined with tissue clearing techniques to remove the opaqueness of tissue and allow for complete visualization of entire adipose tissue anatomy using light-sheet fluorescent microscopy. Therefore, a higher resolution and more accurate representation of adipose tissue structures can be captured with the combination of these techniques. |
