Development of the thymus
β Scribed by Bockman, Dale E.
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 503 KB
- Volume
- 38
- Category
- Article
- ISSN
- 1059-910X
No coin nor oath required. For personal study only.
β¦ Synopsis
Proper development of the thymus is critical for an individual to acquire full immune capability. A full complement of the components that participate in thymic development, interacting with each other at the correct time, is required for maturation. In order to establish the microenvironment necessary for T-cell differentiation, the epithelial primordium of the thymus must expand from pharyngeal endoderm with the aid of contributions from the ectoderm. Experimental studies have established the importance of mesenchymal derivatives from the neural crest in functional development of the epithelial primordium. Interfering with this process inhibits thymic development in a manner similar to that observed in congenital conditions such as the DiGeorge syndrome and the fetal alcohol syndrome. These observations provide clues to understanding the origin of defects in thymus-dependent immunity, and point the way to studies that will expand our understanding of the controls that are involved in genetic and environmental factors impacting on this process.
π SIMILAR VOLUMES
We have directly followed the formation of and the thymus colonization by pro-T lymphocytes in the developing C57BL/6 mouse embryo by using the monoclonal antibody JORO 37-5 specific for pro-T lymphocytes, immunofluorescence staining and flow fluorocytometry or microscopy analysis. The results show
Recent findings suggest that mature T cells in the thymus may regulate the growth and differentiation of immature thymocytes. Here we use mathematical modeling and computer simulations to identify the thymocyte subsets that might serve as targets for regulation, and the processes that might be affec
## Abstract Gene expression in thymic T cells during late embryogenesis and early growth in chicks was examined using cDNA microarrays. Gene expression patterns were profiled into nine clusters by using selfβorganizing maps (SOM) clustering analysis. The expression patterns for a set of genes confi