| Issue |
E3S Web Conf.
Volume 145, 2020
2019 International Academic Exchange Conference on Science and Technology Innovation (IAECST 2019)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 6 | |
| Section | International Conference on Biotechnology and Food Science | |
| DOI | https://doi.org/10.1051/e3sconf/202014501008 | |
| Published online | 06 February 2020 | |
The pattern of X-inactivation in Human X-linked Disorders and their Model Organisms: A literature review
Nanchang University, 461 Bayi Avenue, 330006, Nanchang, Jiangxi Province, China
* Corresponding author’s e-mail: angela@cas-harbour.org
X-inactivation is a strategy in female mammals aiming at maximizing gene inactivation of one single X chromosome in order to balance X dosage between males and females. Various human X-linked disorders have been reported related to one or more X-inactivation patterns. It is necessary to understand their relationship to study X-linked disorders. Current researches largely rely on clinical phenotype research and model organism. Considering the differences between human and model organisms, it is vital to find a suitable model of a specific disorder. The paper reviews different patterns and specific disorders linked with X-inac tivation. Also, the advantages and disadvantages of applying specific model organisms in different disorders will be discussed.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.