Project description:A dataset of 1600 extracts of plants from the Pierre Fabre extracts collection. Contains Blanks and QC. Profiled using UHPLC-HRMSMS on a Q-Exactive Focus orbitrap MS. Data dependant. Pos and Neg ionization mode.
This dataset was generated using a subset of a wider natural extracts collection. This collection as been declared, approved and registered by the European Commission under the accesion number 03-FR-2020 of the EU ABS Collections.
See https://ec.europa.eu/environment/nature/biodiversity/international/abs/pdf/Register%20of%20Collections.pdf
We are grateful to Green Mission Pierre Fabre, Pierre Fabre Research Institute, Toulouse, France and to Bruno DAVID for sharing this unique library of extracts.
Project description:UHPLC-PDA-CAD-HRMS/MS data (pos and neg) of a collection of 38 plant species of the botanical family Combretaceae. Several plant parts are included for each species and each was extracted with ethyl acetate and then methanol. both extracts were analysed.
Project description:Mammals differ more than 100-fold in maximum lifespan. Here, we conducted comparative transcriptomics on 26 species with diverse lifespans. We identified thousands of genes with expression levels negatively or positively correlated with a species' maximum lifespan (Neg- or Pos-MLS genes). Neg-MLS genes are primarily involved in energy metabolism and inflammation. Pos-MLS genes show enrichment in DNA repair, microtubule organization, and RNA transport. Expression of Neg- and Pos-MLS genes is modulated by interventions, including mTOR and PI3K inhibition. Regulatory networks analysis showed that Neg-MLS genes are under circadian regulation possibly to avoid persistent high expression, whereas Pos-MLS genes are targets of master pluripotency regulators OCT4 and NANOG and are upregulated during somatic cell reprogramming. Pos-MLS genes are highly expressed during embryogenesis but significantly downregulated after birth. This work provides targets for anti-aging interventions by defining pathways correlating with longevity across mammals and uncovering circadian and pluripotency networks as central regulators of longevity.