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No child left behind encodes a novel chromatin factor required for germline stem cell maintenance in males but not females.

ABSTRACT: Male and female germ cells follow distinct developmental paths with respect to germline stem cell (GSC) production and the types of differentiated progeny they produce (sperm versus egg). An essential aspect of germline development is how sexual identity is used to differentially regulate the male and female germ cell genomes to allow for these distinct outcomes. Here, we identify a gene, no child left behind (nclb), that plays very different roles in the male versus female germline in Drosophila. In particular, nclb is required for GSC maintenance in males, but not in females. Male GSCs mutant for nclb are rapidly lost from the niche, and begin to differentiate but cannot complete spermatogenesis. We further find that nclb encodes a member of a new family of conserved chromatin-associated proteins. NCLB interacts with chromatin in a specific manner and is associated with sites of active transcription. Thus, NCLB appears to be a novel chromatin regulator that exhibits very different effects on the male and female germ cell genomes.

SUBMITTER: Casper AL

PROVIDER: S-EPMC3143560 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature

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no child left behind encodes a novel chromatin factor required for germline stem cell maintenance in males but not females.

Casper Abbie L AL Baxter Kelly K Van Doren Mark M

Development (Cambridge, England) 20110713 16

Male and female germ cells follow distinct developmental paths with respect to germline stem cell (GSC) production and the types of differentiated progeny they produce (sperm versus egg). An essential aspect of germline development is how sexual identity is used to differentially regulate the male and female germ cell genomes to allow for these distinct outcomes. Here, we identify a gene, no child left behind (nclb), that plays very different roles in the male versus female germline in Drosophil ...[more]

PMID: 21752937

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Project description:BackgroundThe United States spends more than any other country on health care. The poor relative performance of the US compared to other high-income countries has attracted attention and raised questions about the performance of the US health system. An important dimension to poor national performance is the large disparities in life expectancy.MethodsWe applied a mixed effects Poisson statistical model and Gaussian Process Regression to estimate age-specific mortality rates for US counties from 1985 to 2010. We generated uncertainty distributions for life expectancy at each age using standard simulation methods.ResultsFemale life expectancy in the United States increased from 78.0 years in 1985 to 80.9 years in 2010, while male life expectancy increased from 71.0 years in 1985 to 76.3 years in 2010. The gap between female and male life expectancy in the United States was 7.0 years in 1985, narrowing to 4.6 years in 2010. For males at the county level, the highest life expectancy steadily increased from 75.5 in 1985 to 81.7 in 2010, while the lowest life expectancy remained under 65. For females at the county level, the highest life expectancy increased from 81.1 to 85.0, and the lowest life expectancy remained around 73. For male life expectancy at the county level, there have been three phases in the evolution of inequality: a period of rising inequality from 1985 to 1993, a period of stable inequality from 1993 to 2002, and rising inequality from 2002 to 2010. For females, in contrast, inequality has steadily increased during the 25-year period. Compared to only 154 counties where male life expectancy remained stagnant or declined, 1,405 out of 3,143 counties (45%) have seen no significant change or a significant decline in female life expectancy from 1985 to 2010. In all time periods, the lowest county-level life expectancies are seen in the South, the Mississippi basin, West Virginia, Kentucky, and selected counties with large Native American populations.ConclusionsThe reduction in the number of counties where female life expectancy at birth is declining in the most recent period is welcome news. However, the widening disparities between counties and the slow rate of increase compared to other countries should be viewed as a call for action. An increased focus on factors affecting health outcomes, morbidity, and mortality such as socioeconomic factors, difficulty of access to and poor quality of health care, and behavioral, environmental, and metabolic risk factors is urgently required.

Project description:IntroductionWealth-related inequalities in reproductive, maternal, neonatal and child health have been widely studied by dividing the population into quintiles. We present a comprehensive analysis of wealth inequalities for the composite coverage index (CCI) using national health surveys carried out since 2010, using wealth deciles and absolute income estimates as stratification variables, and show how these new approaches expand on traditional equity analyses.Methods83 low-income and middle-income countries were studied. The CCI is a combined measure of coverage with eight key reproductive, maternal, newborn and child health interventions. It was disaggregated by wealth deciles for visual inspection of inequalities, and the slope index of inequality (SII) was estimated. The correlation between coverage in the extreme deciles and SII was assessed. Finally, we used multilevel models to examine how the CCI varies according to the estimated absolute income for each wealth quintile in the surveys.ResultsThe analyses of coverage by wealth deciles and by absolute income show that inequality is mostly driven by coverage among the poor, which is much more variable than coverage among the rich across countries. Regardless of national coverage, in 61 of the countries, the wealthiest decile achieved 70% or higher CCI coverage. Well-performing countries were particularly effective in achieving high coverage among the poor. In contrast, underperforming countries failed to reach the poorest, despite reaching the better-off.ConclusionThere are huge inequalities between the richest and the poorest women and children in most countries. These inequalities are strongly driven by low coverage among the poorest given the wealthiest groups achieve high coverage irrespective of where they live, overcoming any barriers that are an impediment to others. Countries that 'punched above their weight' in coverage, given their level of absolute wealth, were those that best managed to reach their poorest women and children.

Dataset Information

No child left behind encodes a novel chromatin factor required for germline stem cell maintenance in males but not females.

Publications

no child left behind encodes a novel chromatin factor required for germline stem cell maintenance in males but not females.

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