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Davidsen, K.

Publications and source records attributed to Davidsen, K..

7 recordsLinked to original sources

Ribosome-associated quality control of aberrant protein production during amino acid limitation

Amino acids can become limiting for protein synthesis through depletion of charged tRNAs, leading to ribosome stalling and disruption of translation elongation at specific codons. To assess whether this is a mechanism by which amino acid availability can directly influence gene expression, we designed a reporter library to measure translation disruption across all sense codons in the context of amino acid limitations. We found that arginine limitation consistently impairs translation at the arginine codon AGA, resulting in synthesis of proteins from endogenous transcripts. In contrast, GCN2 pathway activation suppresses translation disruption following depletion of most other amino acids. Genome-wide screens revealed that the ribosome quality control trigger (RQC-T) and RQC pathways, which resolve ribosome collisions on defective mRNAs, catalyze ribosome splitting and premature fall-off in response to arginine depletion. Additionally, the E3 ubiquitin ligase RNF14, recently shown to clear ribosome A-site obstructions, promotes translation disruption through both ribosome fall-off and frameshifting during arginine limitation. Together, these data show that the RQC machinery is engaged by tRNA-limited ribosomes and identify a new role for RNF14 as a regulator of translation upon arginine limitation.

genetics↗

Succinate Dehydrogenase loss causes cascading metabolic effects that impair pyrimidine biosynthesis

Decreased availability of the amino acid aspartate can constrain cell function in diverse biological contexts, but the temporal interplay between aspartate, downstream metabolic changes, and functional effects remains poorly understood. Using an aspartate biosensor and live-cell imaging, we examine the interaction between aspartate abundance and cell proliferation in several models of aspartate limitation. While aspartate deficiencies intuitively interface with proliferation in some contexts, aspartate limitation from succinate dehydrogenase (SDH) inhibition causes strikingly nonintuitive dynamics resulting from an outsized impairment of pyrimidine synthesis. Mechanistically, we find that SDH loss impairs pyrimidine biosynthesis by decreasing aspartate and accumulating succinate, which competitively inhibits mammalian aspartate transcarbamylase (ATCase). This metabolic interaction persists in multiple models of SDH deficiency, causing pyrimidine insufficiency, replication stress, and sensitivity to ATR kinase inhibition. These findings define a novel role for succinate in modulating cellular nucleotide homeostasis, suggest a potential therapeutic vulnerability of SDH-deficient tumors, and demonstrate how cascading metabolic interactions can unfold to impact cell function.

cell biology↗

A robust method for measuring aminoacylation through tRNA-Seq

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. Additionally, we show that this method supports measurements of relative tRNA expression levels and can be used to infer tRNA modifications through reverse transcription misincorporations, thereby supporting multipurpose applications in tRNA biology.

biochemistry↗

An engineered biosensor enables dynamic aspartate measurements in living cells

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 based measurements that are typically employed to measure aspartate levels. To address these issues, we have developed a GFP-based sensor of aspartate (jAspSnFR3), where the fluorescence intensity corresponds to aspartate concentration. As a purified protein, the sensor has a 20-fold increase in fluorescence upon aspartate saturation, with dose dependent fluorescence changes covering a physiologically relevant aspartate concentration range and no significant off target binding. Expressed in mammalian cell lines, sensor intensity correlated with aspartate levels measured by mass spectrometry and could resolve temporal changes in intracellular aspartate from genetic, pharmacological, and nutritional manipulations. These data demonstrate the utility of jAspSnFR3 and highlight the opportunities it provides for temporally resolved and high throughput applications of variables that affect aspartate levels.

biochemistry↗

Mitochondrial Redox Adaptations Enable Aspartate Synthesis in SDH-deficient Cells

The oxidative tricarboxylic acid (TCA) cycle is a central mitochondrial pathway integrating catabolic conversions of NAD+ to NADH and anabolic production of aspartate, a key amino acid for cell proliferation. Several TCA cycle components are implicated in tumorigenesis, including loss of function mutations in subunits of succinate dehydrogenase (SDH), also known as complex II of the electron transport chain (ETC). Mechanistic understanding of how proliferating cells tolerate the metabolic defects of SDH loss is still lacking. Here, we identify that SDH supports cell proliferation through aspartate synthesis but, unlike other ETC impairments, is not restored by electron acceptor supplementation. Interestingly, we find aspartate production and cell proliferation are restored to SDH impaired cells by concomitant inhibition of ETC complex I (CI). We determine that the benefits of CI inhibition in this context are dependent on decreasing mitochondrial NAD+/NADH, which drives SDH-independent aspartate production. We also find that genetic loss or restoration of SDH selects for cells with concordant CI activity, establishing distinct modalities of mitochondrial metabolism for maintaining aspartate synthesis. Collectively, these data identify a metabolically beneficial mechanism for CI loss in proliferating cells and reveal that compartmentalized redox changes can impact cellular fitness.

biochemistry↗

Proteomic identification of phosphorylation dependent Septin 7 interactors that drive dendritic spine formation

Septins are a family of cytoskeletal proteins that regulate several important aspects of neuronal development. Septin 7 (Sept7) is enriched at the base of dendritic spines in excitatory neurons and mediates both spine formation and spine-synapse maturation. Phosphorylation at a conserved C-terminal tail residue of Sept7 mediates its translocation into the dendritic spine head to allow spine-synapse maturation. The mechanistic basis for postsynaptic stability and compartmentalization conferred by phosphorylated Sept7, however, is not known. We report herein the proteomic identification of Sept7 phosphorylation dependent neuronal interactors. Using Sept7 C-terminal phosphopeptide pulldown and biochemical assays, we show that the 14-3-3 family of proteins specifically interact with Sept7 when phosphorylated at the T426 residue. Biochemically, we validate the interaction between Sept7 and 14-3-3 isoform gamma, and show that 14-3-3 gamma is also enriched in mature dendritic spine head. Further, we demonstrate that interaction of phosphorylated Sept7 with 14-3-3 protects it from dephosphorylation, as expression of a 14-3-3 antagonist significantly decreases phosphorylated Sept7 in neurons. This study identifies 14-3-3 proteins as an important physiological regulator of Sept7 function in neuronal development.

neuroscience↗

Benchmarking tree and ancestral sequence inference for B cell receptor sequences

B cell receptor sequences evolve during affinity maturation according to a Darwinian process of mutation and selection. Phylogenetic tools are used extensively to reconstruct ancestral sequences and phylogenetic trees from affinity-matured sequences. In addition to using general-purpose phylogenetic methods, researchers have developed new tools to accommodate the special features of B cell sequence evolution. However, the performance of classical phylogenetic techniques in the presence of B cell-specific features is not well understood, nor how much the newer generation of B cell specific tools represent an improvement over classical methods. In this paper we benchmark the performance of classical phylogenetic and new B cell-specific tools when applied to B cell receptor sequences simulated from a forward-time model of B cell receptor affinity maturation towards a mature receptor. We show that the currently used tools vary substantially in terms of tree structure and ancestral sequence inference accuracy. Furthermore, we show that there are still large performance gains to be achieved by modeling the special mutation process of B cell receptors. These conclusions are further strengthened with real data using the rules of isotype switching to count possible violations within each inferred phylogeny.

immunology↗