Publications by authors named "K Davidsen"

Current methods to quantify the fraction of aminoacylated tRNAs, also known as the tRNA charge, are limited by issues with either low throughput, precision, and/or accuracy. Here, we present an optimized charge transfer RNA sequencing (tRNA-Seq) method that combines previous developments with newly described approaches to establish a protocol for precise and accurate tRNA charge measurements. We verify that this protocol provides robust quantification of tRNA aminoacylation and we provide an end-to-end method that scales to hundreds of samples including software for data processing.

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Intracellular levels of the amino acid aspartate are responsive to changes in metabolism in mammalian cells and can correspondingly alter cell function, highlighting the need for robust tools to measure aspartate abundance. However, comprehensive understanding of aspartate metabolism has been limited by the throughput, cost, and static nature of the mass spectrometry (MS)-based measurements that are typically employed to measure aspartate levels. To address these issues, we have developed a green fluorescent protein (GFP)-based sensor of aspartate (jAspSnFR3), where the fluorescence intensity corresponds to aspartate concentration.

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Disinhibited attachment behavior (DAB) among infants is persistent and associated with behavioral and relational problems throughout childhood and adolescence. Little is known about risk factors for DAB among infants reared at home, although studies have linked DAB with maternal psychiatric hospitalization and maternal borderline personality disorder. The aim of the current study was to further assess the association between DAB, maternal severe mental illness (SMI; schizophrenia, bipolar disorder, and depression), and maternal PD symptoms.

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Purpose: Maternal cortisol levels in pregnancy may support the growth of or adversely affect fetal organs, including the brain. While moderate cortisol levels are essential for fetal development, excessive or prolonged elevations may have negative health consequences for both the mother and the offspring. Little is known about predictors of altered hypothalamic-pituitary-adrenal (HPA) axis activity during pregnancy.

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Current methods to quantify the fraction of aminoacylated tRNAs, also known as the tRNA charge, are limited by issues with either low throughput, precision, and/or accuracy. Here, we present an optimized charge tRNA-Seq method that combines previous developments with newly described approaches to establish a protocol for precise and accurate tRNA charge measurements. We verify that this protocol provides robust quantification of tRNA aminoacylation and we provide an end-to-end method that scales to hundreds of samples including software for data processing.

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