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1.
PLoS One ; 9(12): e113036, 2014.
Artículo en Inglés | MEDLINE | ID: mdl-25503791

RESUMEN

In females, X chromosome inactivation (XCI) is an epigenetic, gene dosage compensatory mechanism by inactivation of one copy of X in cells. Random XCI of one of the parental chromosomes results in an approximately equal proportion of cells expressing alleles from either the maternally or paternally inherited active X, and is defined by the XCI ratio. Skewed XCI ratio is suggestive of non-random inactivation, which can play an important role in X-linked genetic conditions. Current methods rely on indirect, semi-quantitative DNA methylation-based assay to estimate XCI ratio. Here we report a direct approach to estimate XCI ratio by integrated, family-trio based whole-exome and mRNA sequencing using phase-by-transmission of alleles coupled with allele-specific expression analysis. We applied this method to in silico data and to a clinical patient with mild cognitive impairment but no clear diagnosis or understanding molecular mechanism underlying the phenotype. Simulation showed that phased and unphased heterozygous allele expression can be used to estimate XCI ratio. Segregation analysis of the patient's exome uncovered a de novo, interstitial, 1.7 Mb deletion on Xp22.31 that originated on the paternally inherited X and previously been associated with heterogeneous, neurological phenotype. Phased, allelic expression data suggested an 83∶20 moderately skewed XCI that favored the expression of the maternally inherited, cytogenetically normal X and suggested that the deleterious affect of the de novo event on the paternal copy may be offset by skewed XCI that favors expression of the wild-type X. This study shows the utility of integrated sequencing approach in XCI ratio estimation.


Asunto(s)
Cromosomas Humanos X/genética , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Enfermedades del Sistema Nervioso/genética , ARN Mensajero/análisis , Análisis de Secuencia de ARN/métodos , Inactivación del Cromosoma X , Adolescente , Desequilibrio Alélico , Niño , Simulación por Computador , Exoma , Femenino , Humanos , Eliminación de Secuencia , Adulto Joven
2.
BMC Genomics ; 11: 325, 2010 May 25.
Artículo en Inglés | MEDLINE | ID: mdl-20500872

RESUMEN

BACKGROUND: Rhodospirillum centenum is a photosynthetic non-sulfur purple bacterium that favors growth in an anoxygenic, photosynthetic N2-fixing environment. It is emerging as a genetically amenable model organism for molecular genetic analysis of cyst formation, photosynthesis, phototaxis, and cellular development. Here, we present an analysis of the genome of this bacterium. RESULTS: R. centenum contains a singular circular chromosome of 4,355,548 base pairs in size harboring 4,105 genes. It has an intact Calvin cycle with two forms of Rubisco, as well as a gene encoding phosphoenolpyruvate carboxylase (PEPC) for mixotrophic CO2 fixation. This dual carbon-fixation system may be required for regulating internal carbon flux to facilitate bacterial nitrogen assimilation. Enzymatic reactions associated with arsenate and mercuric detoxification are rare or unique compared to other purple bacteria. Among numerous newly identified signal transduction proteins, of particular interest is a putative bacteriophytochrome that is phylogenetically distinct from a previously characterized R. centenum phytochrome, Ppr. Genes encoding proteins involved in chemotaxis as well as a sophisticated dual flagellar system have also been mapped. CONCLUSIONS: Remarkable metabolic versatility and a superior capability for photoautotrophic carbon assimilation is evident in R. centenum.


Asunto(s)
Genoma Bacteriano/genética , Rhodospirillum centenum/genética , Rhodospirillum centenum/metabolismo , Proteínas Bacterianas/genética , Proteínas Bacterianas/metabolismo , Carbono/metabolismo , Quimiotaxis/genética , Clorofila/biosíntesis , Flagelos/genética , Flagelos/metabolismo , Fotorreceptores Microbianos/genética , Fotorreceptores Microbianos/metabolismo , Fotosíntesis/genética , Rhodospirillum centenum/citología , Transducción de Señal/genética
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