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Self-assembly is a powerful means to create new materials and new catalysts. The advantages of biological self-assembly are based on it being highly programmable and prone to multilevel regulation, which can lead to multiple and complex functions. The self-assembly of carboxysomes in cyanobacteria enables the carboxysomes to enrich carbon dioxide in their interior, resulting in the formation of a highly efficient, multiple-enzyme catalytic system. Here, we show that the construction and coexpression of all genes of the β-carboxysome from the cyanobacterium Thermosynechococcus elongatus BP-1 can lead to the production of β-carboxysome-like structures in Escherichia coli. These shell structures were characterized intracellularly and extracellularly by transmission electron microscopy. This work lays a foundation for understanding carboxysome assembly and catalysis and the development of novel carboxysome-based nanomaterials utilizing synthetic biology.
High-throughput gene expression can be used to address a wide range of fundamental biological problems, but datasets of an appropriate size are often unavailable. Moreover, existing transcriptomics simulators have been criticised because they fail to emulate key properties of gene expression data. In this paper, we develop a method based on a conditional generative adversarial network to generate realistic transcriptomics data for E. coli and humans. We assess the performance of our approach across several tissues and cancer types.
We show that our model preserves several gene expression properties significantly better than widely used simulators such as SynTReN or GeneNetWeaver. The synthetic data preserves tissue and cancer-specific properties of transcriptomics data. Moreover, it exhibits real gene clusters and ontologies both at local and global scales, suggesting that the model learns to approximate the gene expression manifold in a biologically meaningful way.
Code is available at https//github.com/rvinas/adversarial-gene-expression.
Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.The field of nutrition has evolved from one focused primarily on discovery of the identities, metabolic functions, and requirements for essential nutrients to one focused on the application of that knowledge to the development and implementation of dietary recommendations to promote health and prevent disease. This evolution has produced a deeper appreciation of not only the roles of nutrients, but also factors affecting their functions in increasingly complex global health contexts. selleck The intersection of nutrition with an increasingly more complex global health context necessitates a view of nutritional status as a biological variable (NABV), the study of which includes an appreciation that nutritional status is 1) not limited to dietary exposure; 2) intimately and inextricably involved in all aspects of human health promotion, disease prevention, and treatment; and 3) both an input and an outcome of health and disease. This expanded view of nutrition will inform future research by facilitating considerations of the contexts and variability associated with the many interacting factors affecting and affected by nutritional status. It will also demand new tools to study multifactorial relations to the end of increasing precision and the development of evidence-based, safe, and effective standards of health care, dietary interventions, and public health programs.
We examined the impact of post-traumatic stress disorder (PTSD) on both prospective (PM) and retrospective (RM) memory performance among a cross-sectional veteran sample.
Data from tests of PM/RM memory and PTSD, anxiety, depression and sleep disturbance symptoms were examined among a prospectively recruited sample of 26 veterans with confirmed PTSD (PTSD+) and 26 well-matched, combat-exposed controls who did not meet criteria for PTSD (PTSD-).
Small-to-moderate negative correlations emerged between PTSD symptom severity, visuospatial RM and some aspects of PM; general anxiety correlated more strongly with memory. The PTSD+ group demonstrated significantly worse, but still average visuospatial RM; differences in PM were nonsignificant between groups. Regression analyses implicated generalized anxiety, but not other psychiatric symptomology, as significant contributors to all memory performances.
Minimal memory differences were found between veterans with and without PTSD. PM/RM memory performance was better explained by generalized anxiety rather that PTSD-specific symptoms.
Minimal memory differences were found between veterans with and without PTSD. PM/RM memory performance was better explained by generalized anxiety rather that PTSD-specific symptoms.Klinefelter syndrome (47, XXY; henceforth XXY syndrome) is a high-impact but poorly understood genetic risk factor for neuropsychiatric impairment. Here, we provide the first study to map alterations of functional brain connectivity in XXY syndrome and relate these changes to brain anatomy and psychopathology. We used resting-state functional magnetic resonance imaging data from 75 individuals with XXY and 84 healthy XY males to 1) implement a brain-wide screen for altered global resting-state functional connectivity (rsFC) in XXY versus XY males and 2) decompose these alterations through seed-based analysis. We then compared these rsFC findings with measures of regional brain anatomy, psychopathology, and cognition. XXY syndrome was characterized by increased global rsFC in the left dorsolateral prefrontal cortex (DLPFC)-reflecting DLPFC overconnectivity with diverse rsFC networks. Functional overconnectivity was partly coupled to co-occurring regional volumetric changes in XXY syndrome, and variation in DLPFC-precuneus rsFC was correlated with the severity of psychopathology. By providing the first view of altered rsFC in XXY syndrome and contextualizing observed changes relative to neuroanatomy and behavior, our study helps to advance biological understanding of XXY syndrome-both as a disorder in its own right and more broadly as a model of genetic risk for psychopathology.
Read More: https://www.selleckchem.com/products/d-4476.html
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