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Bicocca Open Archive Research Data

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1970
2026
1970 2026
296 results
  • Embargoed - 1 September 2030
    Processed CITE-seq data, spatial niche analysis pipeline and analysis code for conventional dendritic cells in mouse and human lung
  • Embargoed - 28 September 2026
    "Pollinator habitat enhancement through ornamental plants, floral traits and urban green area features for planning biodiversity-friendly cities" - Raw data
  • IBEX immunofluorescence images of skin from CD11c-DOG mice treated or untreated with diphtheria toxin
    Iterative Bleaching Extends Multiplexity (IBEX) immunofluorescence was performed on skin samples collected from CD11c-DOG mice either treated with diphtheria toxin (Skin_CD11cDOG_with_Diphtheria_Toxin) or phosphate-buffered saline (PBS) treated controls (Skin_CD11cDOG_no_Diphtheria_Toxin). For dendritic cell depletion, CD11c-DOG mice received three systemic intravenous injections of diphtheria toxin (16 ng/g body weight) on days −3, −2, and −1. Control mice PBS following the same schedule. In addition, a local subcutaneous injection of diphtheria toxin (16 ng) was administered on day −1 at the site designated for tissue collection. Mice were euthanized on day 0 in accordance with national and international regulations for animal care and use. A square section of flank skin was excised from each mouse at the site of the last intradermal injection. Subcutaneous adipose tissue was mechanically removed using forceps. Skin samples were subsequently processed according to the 2D Manual IBEX protocol for multiplex immunofluorescence imaging.
  • Embargoed - 3 October 2026
    Morphometric data for the study "Integrating evidence to disentangle multiple cryptic speciation events in a cuckoo bumblebee species group"
  • SNF1/AMPK controls its own localization by phosphorylating its activating kinase Sak1-Raw Data
    Raw data of the paper by Moukham, Caligaris et al. 2026
  • Production and carbon footprint of microbial oil from waste lemon peel extract - supplementary material
    Supplementary data and underlying data supporting the finding described in "Production and carbon footprint of microbial oil from waste lemon peel extract". Abstract Background The agricultural sector is one of the leading producers of agro-industrial solid organic waste. This waste is mainly disposed of by incineration or landfilled, representing a huge loss of potential resources, which could be used for the production of high-value chemicals. In this study, a fermentation process for the production of microbial oil from waste lemon extract (LE), an aqueous side stream deriving from waste lemon peel and pulp processing, was developed and assessed for impacts. Microbial oil can have many and diverse applications, from plasticisers in plastic and rubber compounds to moisturizers in cosmetic formulation. Methods and results Characterization of LE revealed that its autoclaving process is effective for increasing the concentration of readily available glucose and fructose, reaching 28.77 ± 0.08 g L-1 and 25.68 ± 0.27 g L-1. Nitrogen content was measured too, revealing a C/N ratio of 85, optimal for triggering lipid accumulation in the selected microbial cell factory. Therefore, the oleaginous yeast Cutaneotrichosporon oleaginosum was cultivated in an unmodified LE-based medium in 2 L bioreactors, resulting in a lipid accumulation of 0.47 ± 0.08 goil gCDW-1. Finally, a new lipid extraction method using green solvents was developed, which allowed to extract and purify 11.29 g of oils, corresponding to 35% of the cell dry weight. The carbon footprint of this laboratory-scale production was estimated to be 71 - 434 kgCO2eq kg-1 microbial oil, with electricity consumption of the fermentation step as the main factor. Simulation of the process in a 300L fermenter suggests that the electricity consumption, and therefore the overall impact, can be drastically reduced with scale-up. Conclusions The proposed process is promising in terms of production and has the advantage of not being in competition with edible resources and land use. However, the microbial oil yield and the extraction process must be optimized to make the process sustainable.
  • Microbiome Modulation Uncouples Efficacy and Toxicity Induced by Programmed Death-1/Programmed Death-Ligand1 Blockade in multiple myeloma - NMR-based metabolomics of culture media
    Intestinal microbiota and gut-born T helper-17 (Th17) lymphocytes may act as drivers of smoldering multiple myeloma (SMM) to MM evolution. We demonstrate here that administering the human commensal Prevotella melaninogenica to transgenic Vk*MYC mice affected by Early-MM, mimicking human SMM, significantly delayed evolution to full-blown MM. Mechanistically, P. melaninogenica increased the production of short-chain fatty acids (SCFAs), preventing skew of dendritic cells towards a pro-Th17 phenotype and accumulation of Th17 cells in the bone marrow of treated mice. P. melaninogenica or butyrate synergized with anti-PD-L1 antibodies by restraining Th17 cell expansion while unleashing immune checkpoint blockade (ICB)-induced effector CD8+ T cells. P. melaninogenica also attenuated IL-17-mediated skin lesions that mimicked ICB-induced immune-related adverse events. Thus, modulation of the gut microbiota or SCFAs administration with or without ICB might represent treatment options for patients affected by plasma cell dyscrasias and other hematologic or solid tumors where IL-17 acts as driving force. The present dataset contains: - 1H NMR spectra acquired on control and growth media for PM and PH; - CMP and .exp files created for metabolite quantification in MestreNova software by SMA analysis.
  • Cleaner synthesis of preclinically validated vaccine adjuvants
    NMR File of the paper "Cleaner synthesis of preclinically validated vaccine adjuvants" in publication on Frontiers in Chemistry
  • SMA libraries for metabolite identification and quantification in antarctic soils
    Metabolite libraries built from NMR spectra for the metabolomics analysis of antarctic soils extracts, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.3.0-30573 software.
  • SMA library for metabolites identification and quantification in cheese whey permeate (CWP)
    Metabolite library built from NMR spectra for metabolomic analysis of cheese whey permeate (CWP) using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.3 software. Metabolites included: 2,3-Butandiol, Acetate, Alanine, Betaine, Choline, Citrate, Creatine, Creatinine, Ethanol, Fumarate, Hippurate, Lactate, Lactose, Orotate, Succinate, α-D-Galactose, β-D-Galactose Sample CWP in PB 10 mM (10% D2O) pH 7.4, TSP (1mM), Diluition Factor (10%) File included: SMA library .exp files and optimized .cmp files