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Siegel, D.

Publications and source records attributed to Siegel, D..

3 recordsLinked to original sources

Down syndrome fibroblasts exhibit diminished autophagic clearance and endosomal dysfunction after serum starvation

Down syndrome (DS) is a genetic disorder caused by trisomy of chromosome 21 (Tri21). This unbalanced karyotype has the ability to produce proteotoxic stress and dysfunction of the proteostasis network (PN), which are mechanistically associated with several comorbidities found in the DS phenotype. Autophagy is the cellular process responsible for bulk protein degradation and its impairment could negatively impact protein quality control. Based on our previous observations of PN disruption in DS, we investigated possible dysfunction of the autophagic machinery in human DS fibroblasts. Both euploid (CTL) and DS fibroblasts induced autophagy successfully through serum starvation (SS), as evidenced by increased LC3-II abundance in CTL and DS. However, DS cells displayed evidence of autophagolysosome (AL) accumulation and impaired clearance of autophagosome cargo, e.g. accumulation of p62 and NBR1. Similar observations were also present in DS cells from multiple differentiation stages, implicating impeded autophagic degradation as a possible early pathologic mechanism in DS. Lysosomal pH and cathepsin B proteolytic activity were found to not differ in CTL and DS fibroblasts after SS, indicating that lysosomal dysfunction did not appear to contribute to unsuccessful autophagic clearance. Based on these results, we hypothesized that possible interference of the endosomal system with autophagy results in autophagosome fusion with endosomal vesicles and negatively impacts degradation. Consistent with this hypothesis, we observed increased abundance of the recycling endosome marker, Rab11, after SS in DS fibroblasts. Further, colocalization of autophagosome markers with resident proteins of early endosomes, late endosomes and recycling endosomes (Rab11) further support our hypothesis. In summary, our work is consistent with impairment of autophagic flux and general PN dysfunction as candidate mechanisms for pathology in DS.

cell biology

Saccharomyces cerevisiae goes through distinct metabolic phases during its replicative lifespan

A comprehensive description of the phenotypic changes during cellular aging is key towards unraveling its causal forces. Using recently developed experimental tools, which previously had enabled us to map age related changes in proteome and transcriptome (Janssens et al., 2015), and model-based inference methods, here, we generated a comprehensive account of the metabolic changes during the entire replicative life of Saecharomyces cerevisiae. With age, we found decreasing metabolite levels, decreasing growth and substrate uptake rates accompanied by a switch from aerobic fermentation to a respiratory metabolism, with increased glycerol and acetate production. The identification of intracellular metabolic fluxes revealed an increase in redox cofactor turnover, likely to combat the increased production of reactive oxygen species. The identified metabolic changes possibly reflect a dynamic adaptation to the age-associated, non- homeostatic increase in volume. With metabolism being an important factor of the cellular phenotype, this work complements our recent mapping of the transcriptomic and proteomic changes towards a holistic description of the cellular processes during aging.

cell biology

Mapping The Malaria Parasite Drug-Able Genome Using In Vitro Evolution And Chemogenomics

Chemogenetic characterization through in vitro evolution combined with whole genome analysis is a powerful tool to discover novel antimalarial drug targets and identify drug resistance genes. Our comprehensive genome analysis of 262 Plasmodium falciparum parasites treated with 37 diverse compounds reveals how the parasite evolves to evade the action of small molecule growth inhibitors. This detailed data set revealed 159 gene amplifications and 148 nonsynonymous changes in 83 genes which developed during resistance acquisition. Using a new algorithm, we show that gene amplifications contribute to 1/3 of drug resistance acquisition events. In addition to confirming known multidrug resistance mechanisms, we discovered novel multidrug resistance genes. Furthermore, we identified promising new drug target-inhibitor pairs to advance the malaria elimination campaign, including: thymidylate synthase and a benzoquinazolinone, farnesyltransferase and a pyrimidinedione, and a dipeptidylpeptidase and an arylurea. This deep exploration of the P. falciparum resistome and drug-able genome will guide future drug discovery and structural biology efforts, while also advancing our understanding of resistance mechanisms of the deadliest malaria parasite.\n\nOne Sentence SummaryWhole genome sequencing reveals how Plasmodium falciparum evolves resistance to diverse compounds and identifies new antimalarial drug targets.

genomics