Project description:Purpose: Analysis of the effect of different fats and amonut of cDDGS in the feedstuff on miRNA expression in porcine backfat Methods: miRNA-seq analysis was performed on backfat samples collected from 24 male and female crossbred fatteners originating from sows (Polish Landrace × White Large Polish) mated with a boar (Duroc × Pietrain) divided into four dietary groups: 7-cDDGS+rapeseed oil (group I), n=6 (+cDDGS+rapeseed oil -group II), n= 6 (+cDDGS+beeftallow -group III),n=5 (+cDDGS+coconut oil -group IV). The miRNA libraries were constructed from total RNA using NEBNext Multiplex Small RNA Library Prep Set for Illumina (New England Biolabs) according to the manufacturer protocol. The quantification of the obtained libraries was performed on a Qubit 2.0 spectrophotometer (Invitrogen, Life Technologies), while a quality control on a TapeStation 2200 instrument (D1000 ScreenTape; Agilent). 100 single-end cycle sequencing was performed on the HiScanSQ platform (Illumina) with the use of TruSeq SR Cluster Kit v3- CBOT-HS and TruSeq SBS Kit v 3 - HS (Illumina). MicroRNA differentially expressed between dietary groups were identified with the DESeq2 software. Results: The comparison of miRNA profiles between dietary groups showed The highest number of miRNAs with altered expression was identified in the comparison of animals fed the diet containing cDDGS and coconut oil (group IV) with animals from the –cDDGS + rapeseed oil (group I) (37 miRNA, p adjusted <0.01). Moreover, in comparison between the group IV and groups III and II , 29 (12 upregulated and 17 downregulated in +cDDGS+coconut oil group) and 28 (10 upregulated and 18 downregulated in +cDDGS+coconut oil group) miRNAs were identified, respectively (p adjusted <0.1) Conclusions: Obtained results suggest that coconut oil induces changes in miRNA profile of backfat in pigs.
Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
Project description:The coconut tree (Cocos nucifera L.) is an ancient palm species that since early times had been integrally exploited due to their many benefits to the habitants of the tropical and subtropical areas (Niral and Jerard, 2018). The coconut together with the oil palm (Elaeis guineensis) and date palm (Phoenix dactylifera L.) belongs to the Arecaceae family and represent a natural source of oils and carbohydrates both, highly demanded in food and pharmaceutical industries. The coconut shows high morphological variations, but grouping normally in two groups, according to their morphology and growth habits, the “Tall” and the “Dwarf” varieties. Frequently, hybrids are considered as a third variety resulting from cross pollination between Tall and Dwarfs. Tall varieties begin to flowering at 5-7 years after planting, and continue emitting inflorescences and fruits up to 80 to 100 years. When adults, tall palms reach heights between 20-30 m; producing fruits from medium to large in size with abundant solid endosperm and high oil content. In case of dwarf palm varieties, they start flowering and fruiting at 3-4 years after planting, and continue producing by almost 50 years. As adults, their height is 8-10 m, producing fruits from small to medium size with moderate amounts of solid endosperm and less oil content than tall varieties. The solid endosperm, also named as “coconut meat” and when it is dry “copra”, is the source of medium chain saturated fatty acids (MCSFA), e.g. lauric acid (C12:0), myristic acid (C14:0) and palmitic acid (C16:0), among others, and their content of total fatty acids is higher in Tall than in Dwarf varieties. Coconut Oil contains high levels of lauric acid and exhibit characteristics as increased oxidative stability, low melting points and formation of stable emulsions, all them highly appreciated in the food and chemical industries (Kumar, 2011; Reynolds et al., 2019). Moreover, due to its high content of antioxidants such as tocopherol and beta-carotene, coconut oil exhibit various health benefits, such as antibacterial, antiviral, and cardiovascular protection. Coconut fruit growth and ripening is intrinsically related with development of the different seed tissues, i.e., endosperms, embryo and pericarp. The endosperms of the coconut fruit did not accumulate synchronically with fruit maturation.
Project description:Fish oil, olive oil, and coconut oil dietary supplementation have several cardioprotective benefits, but it is not established if they can protect against air pollution-induced adverse effects. We hypothesized that these dietary supplements would attenuate ozone-induced systemic and pulmonary effects. Male Wistar Kyoto rats were fed either a normal diet, or a diet enriched with fish, olive, or coconut oil starting at 4 weeks of age for 8 weeks. Animals were then exposed to air or ozone (0.8 ppm), 4h/day for 2 consecutive days. The fish oil diet completely abolished phenylephrine-induced vasoconstriction that was increased following ozone exposure in the animals fed all other diets. Only the fish oil diet increased baseline levels of bronchoalveolar lavage fluid (BALF) markers of lung injury and inflammation. Ozone-induced pulmonary injury/inflammation were comparable in rats on normal, coconut oil, and olive oil diets with altered expression of markers in animals fed the fish oil diet. Fish oil, regardless of exposure, led to enlarged, foamy macrophages in the BALF that coincided with decreased mRNA expression of cholesterol transporters, cholesterol receptors, and nuclear receptors in the lung. Serum miRNA profile was assessed using small RNA-sequencing in normal and fish oil groups and demonstrated marked depletion of a variety of miRNAs, several of which were of splenic origin. No ozone-specific changes were noted. Collectively, these data indicate that while fish oil offered protection from ozone-induced aortic vasoconstriction, it increased pulmonary injury/inflammation and impaired lipid transport mechanisms resulting in foamy macrophage accumulation, demonstrating the need to be cognizant of potential off-target pulmonary effects that might offset the overall benefit of this vasoprotective dietary supplement.
2018-01-11 | GSE102015 | GEO
Project description:RNA sequencing of immature endosperm calli of coconut
Project description:scRNAseq of prostate cells from 6 and 8 month old Pb-PRL whole prostate mice with enlarged prostate after 28 days of treatment with antioxidant molecule; Anethole tritione (ATT) or coconut oil (vehicle).
Project description:Purpose: Aim of the study is to identify changes in hepatic gene expression induced by either a 40kcal% coconut oil rich high fat diet (HFD), a 40kcal% soybean oil plus coconut oil high fat diet (SO-HFD) or a low fat vivarium chow diet (Viv). Methods: Livers from mice that had been fed one of the above mentioned diets for 35 weeks, were used to make cDNA libraries that were then sent for deep sequencing, using the Illumina TruSeq RNA. Result: Many genes involved in metabolism, lipid binding, transport and storage and many Cyp genes are dysregulated in the two high fat diets as compared to Viv HFDs in SO-HFD mice. Comparing the two HFDs shows more metabolism and disease related genes dysregulated in SO-HFD vs HFD. Conclusion: A diet high in soybean oil may be more detrimental to metabolic health than a diet high in saturated fats.
Project description:Kilian2024 - Immune cell dynamics in Cue-Induced Extended Human Colitis Model
Single-cell technologies such as scRNA-seq and flow cytometry provide critical insights into immune cell behavior in inflammatory bowel disease (IBD). However, integrating these datasets into computational models for dynamic analysis remains challenging. Here, Kilian et al., (2024) developed a deterministic ODE-based model that incorporates these technologies to study immune cell population changes in murine colitis. The model parameters were optimized to fit experimental data, ensuring an accurate representation of immune cell behavior over time. It was then validated by comparing simulations with experimental data using Pearson’s correlation and further tested on independent datasets to confirm its robustness. Additionally, the model was applied to clinical bulk RNA-seq data from human IBD patients, providing valuable insights into immune system dynamics and potential therapeutic strategies.
Figure 4c, obtained from the simulation of human colitis model is highlighted here.
This model is described in the article:
Kilian, C., Ulrich, H., Zouboulis, V.A. et al. Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Syst Biol Appl 10, 69 (2024). https://doi.org/10.1038/s41540-024-00395-9
Abstract:
Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a snapshot in time. Here, we explore how longitudinal single-cell-based datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. We derived longitudinal changes in cell numbers of colonic cell types during inflammatory bowel disease (IBD) from flow cytometry and scRNA-seq data of murine colitis using ODE-based models. Our mathematical model generalised well across different protocols and experimental techniques, and we hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the mathematical model by deconvolution of longitudinal bulk mRNA-sequencing data from a cohort of human IBD patients treated with olamkicept. We found that neutrophil depletion may contribute to IBD patients entering remission. The predictive power of IBD deterministic modelling highlights its potential to advance our understanding of immune dynamics in health and disease.
This model was curated during the Hackathon hosted by BioMed X GmbH in 2024.