Publications by authors named "N Vu"

Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) has been used to generate spatial maps of lipids, metabolites, peptides, proteins, and glycans in tissues; however, its use for mapping extracellular matrix (ECM) protein distributions is underexplored. ECM proteins play a major role in various pathological conditions, and changes in their spatial distributions affect the function and morphology of cells within tissues. ECM protein detection is challenging because they are large, insoluble, and undergo various post-translational modifications, such as glycosylation.

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High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

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Article Synopsis
  • Aging leads to cellular damage and mitochondrial dysfunction, impacting metabolism and contributing to age-related diseases.
  • The cofactor NAD decreases in tissues with age and is crucial for various metabolic pathways, yet its levels and ratio to NADH remained stable during healthy aging in mice studied.
  • Research showed that older tissues, especially in the brain, increased fatty acid and sphingolipid metabolism, helping to maintain NAD levels, which could be essential for healthy aging.
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Protein aggregation increases during aging and is a pathological hallmark of many age-related diseases. Protein homeostasis (proteostasis) depends on a core network of factors directly influencing protein production, folding, trafficking, and degradation. Cellular proteostasis also depends on the overall composition of the proteome and numerous environmental variables.

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