Female mice lacking Xist RNA show partial dosage compensation and survive to term.
Female mice lacking Xist RNA show partial dosage compensation and survive to term.
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DOI:
10.1101/gad.281162.116
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发表时间:
2016-08-01
影响因子:
10.5
通讯作者:
Lee JT
中科院分区:
文献类型:
--
作者:
Yang L;Kirby JE;Sunwoo H;Lee JT
In this study, Yang et al. show that mice lacking Xist RNA, which is needed for X-chromosome inactivation, can develop normally and survive to term; however, Xist-null mice die before adulthood. This study provides new insight into Xist-independent mechanisms of dosage compensation and demonstrates that small deviations from X-autosomal balance can have profound effects on overall fitness. X-chromosome inactivation (XCI) compensates for differences in X-chromosome number between male and female mammals. XCI is orchestrated by Xist RNA, whose expression in early development leads to transcriptional silencing of one X chromosome in the female. Knockout studies have established a requirement for Xist with inviability of female embryos that inherit an Xist deletion from the father. Here, we report that female mice lacking Xist RNA can, surprisingly, develop and survive to term. Xist-null females are born at lower frequency and are smaller at birth, but organogenesis is mostly normal. Transcriptomic analysis indicates significant overexpression of hundreds of X-linked genes across multiple tissues. Therefore, Xist-null mice can develop to term in spite of a deficiency of dosage compensation. However, the degree of X-autosomal dosage imbalance was less than anticipated (1.14-fold to 1.36-fold). Thus, partial dosage compensation can be achieved without Xist, supporting the idea of inherent genome balance. Nevertheless, to date, none of the mutant mice has survived beyond weaning stage. Sudden death is associated with failure of postnatal organ maturation. Our data suggest Xist-independent mechanisms of dosage compensation and demonstrate that small deviations from X-autosomal balance can have profound effects on overall fitness.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
9.8
作者:
Lin, Hong;Gupta, Vibhor;Vermilyea, Matthew D;Falciani, Francesco;Lee, Jeannie T;O'Neill, Laura P;Turner, Bryan M
通讯作者:
Turner, Bryan M
影响因子:
2.6
作者:
Hayashi, Shigemi;Lewis, Paula;McMahon, Andrew P.
通讯作者:
McMahon, Andrew P.
影响因子:
64.5
作者:
Alkass, Kanar;Panula, Joni;Bergmann, Olaf
通讯作者:
Bergmann, Olaf
DOI:
10.1126/science.1237973
发表时间:
2013-08-16
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Engreitz JM;Pandya-Jones A;McDonel P;Shishkin A;Sirokman K;Surka C;Kadri S;Xing J;Goren A;Lander ES;Plath K;Guttman M
通讯作者:
Guttman M