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Expression data from limbic system in mouse brain treated with or without rosemary extract (RE)

ABSTRACT: Most significantly affected GOs by TST stress include Cellular localization, transport and migration such as Cellular macromolecule localization (GO:0070727), Intracellular transport (GO:0046907) and Intracellular protein transport (GO:0006886), metabolic processes such as Small molecule metabolic process (GO:0044281), Cellular amide metabolic process (GO:0043603) and Lipid metabolic process (GO:0006629), neuronal cell population differentiation and proliferation such as Neurogenesis (GO:0022008), Neuron differentiation (GO:0030182), Glial cell differentiation (GO:0010001), Central nervous system development (GO:0007417), Astrocyte differentiation (GO:0048708) and Gliogenesis (GO:0042063), and cell signaling such as G-protein-coupled receptor signaling pathway (GO:0007186), Negative regulation of signaling (GO:0023057), Positive regulation of signaling (GO:0023056), Response to endogenous stimulus (GO:0009719) and Regulation of intracellular signal transduction (GO:1902531). Peptide metabolic process (GO:0006518), Peptidyl amino acid modification (GO:0018193), Regulation of steroid biosynthetic process (GO:0050810) were also significantly enriched in the TST stress-induced mice brain. Top significantly enriched Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathways by the stress response related DEGs between high-dose RE vs TST include mitogen-activated protein kinase (MAPK) signaling pathway, Chemokine signaling pathway, Neurotrophin signaling pathway, Cytokine-cytokine receptor interaction, GnRH signaling pathway, ErbB signaling pathway, Toll-like receptor signaling pathway, T cell receptor signaling pathway, B cell receptor signaling pathway, vascular endothelial growth factor (VEGF) signaling pathway, Long-term depression, NOD-like receptor signaling pathway, Insulin signaling pathway, Jak-STAT signaling pathway, Apoptosis, and mTOR signaling pathway.

ORGANISM(S): Mus musculus

PROVIDER: GSE180884 | GEO | 2021/07/29

REPOSITORIES: GEO

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Project description:To evaluate the transcriptome response of roots towards Hoagland solution of two-year-old healthy (C) and HLB-affected (T) sweet orange (Citrus sinensis L.) cultivar Midsweet grafted on Kuharskei Carrizo rootstock at three different time points; D1 (at the start of the experiment), D2 (After 3 days of Hoagland solution), D3 (After nine days of Hoagland solution), were performed using RNA sequencing analysis. A total of 9, 19, and 2324 DEGs were expressed in HLB-affected and healthy trees feeder roots on D1, D2, and D3, respectively. Due to a small number of DEGs in HLB-affected and healthy trees roots on D1 and D2, enrichment analysis could not be performed. At D3, Gene Ontology (GO) enrichment analysis was performed using upregulated and downregulated DEGs in HLB-affected roots compared to healthy roots. For the upregulated DEGs in HLB-affected roots, the most enriched biological GO categories were related to transport, cellular amino acid metabolic process, oxoacid metabolic process, organic acid metabolic processes, phenylpropanoid biosynthesis process, response to carbohydrate stimulus, ethylene and the jasmonic acid-mediated signaling pathway, and regulation of plant hormone. The biological GO categories based on the number of DEGs associated with downregulated DEGs were the developmental process, phosphate metabolic process, protein modification process, defense response, growth, cell cycle, cell death, and ABA-mediated signaling pathway. The results of this study strongly suggest; although, the reduced biomass limits the nutrient uptake capacity in the plants as a whole, so in order to compensate for reduced root to shoot ratio the existing root undergo anatomical and transcriptomic changes to improve nutrient uptake efficiency to meet the nutrient demand of shoot systems. It is likely that higher inputs of energy in nutrient uptake possibly results in reducing the root longevity of HLB-affected trees. Good nutrition management practices are critical for the survival of HLB-affected trees as the availability and uptake of nutrients allow HLB-affected trees in response to abiotic and biotic stress.

Project description:We investigated the nutritional effects on gene expression in testes of F0 boars from a three generation Large White pig feeding experiment. A group of experimental (E) F0 boars were fed a standard diet supplemented with high amounts of methylating micronutrients whereas a control (C) group of F0 boars received a standard diet. These differentially fed F0 boars sired F1 boars which then sired 60 F2 pigs which were investigated in a previous study. The aim of this project was to investigate if the nutrition affects gene expression in testis of differentially fed boars and thus impact on spermatogenesis. We found a small number of 70 genes that were differentially expressed (fc ≥ 1) on the P<0.01 significance level. The false discovery rate (FDR) was 0.82 indicating that only a small portion of these genes are real positives. Nevertheless, we performed a pathway analysis and found this moderate differential expression associated with pathways maps of development_A2B receptor: action via G-protein alpha s, cell adhesion_Tight junctions and cell adhesion_Endothelial cell contacts by junctional mechanisms. The gene ontology (GO) processes that matched the gene expression data in boars’ testes were positive regulation of nucleobase-containing compound metabolic process, cellular response to hormone stimulus and cellular process. The pathway maps and GO processes associated with gene expression differences do not indicate a simple relationship between nutritional influences and gene expression in testes. Nevertheless the Adenosine A2B receptor influences cell differentiation and proliferation and has thus far reaching consequences. Similar applies to those GO processes positive regulation of nucleobase-containing compound metabolic process, cellular response to hormone stimulus and cellular process that were associated with differentially expressed genes between the testes samples. The expression result is thus not conclusive of whether the diet affects processes related to transmittable epigenetic marks. The results, however, indicate that the extreme supplementation of methylating micronutrients from month one to month ten of age has a very moderate (if any) effect on gene expression in boar testes as measured by microarray analysis. Gene expression in testes from differentially fed F0 boars was measured. F0 boars received either a standard diet or a standard diet supplemented with methylating micronutrients. These boars were used to study transgenerational epigenetic inheritance in a three generation pig pedigree. Therefore it was of interest if the diet affects gene expression in testes and so could impact spermatogenesis.

Project description:Purpose: Analysis of the regulatory network involved in DSTY in lung cancer cells. Methods: mRNA profiles of A549 knockdown cell group and A549 NC group were generated by deep sequencing, using Illumina Novaseq platform. Index of the reference genome was built using Hisat2 v2.0.5 and paired-end clean reads were aligned to the reference genome using Hisat2 v2.0.5. featureCounts v1.5.0-p3 was used to count the reads numbers mapped to each gene. And then FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene. Differential expression analysis of two conditions/groups (two biological replicates per condition) was performed using the DESeq2 R package (1.16.1). The resulting P-values were adjusted using the Benjamini and Hochberg’s approach for controlling the false discovery rate .Genes with an adjusted P-value <0.05 found by DESeq2 were assigned as differentially expressed. Clusterprofiler software was used to perform GO function enrichment analysis and KEGG pathway enrichment analysis of the differential gene sets. Results: We identified 2555 differential genes, of which 1444 were up-regulated and 1111 were down-regulated in A549 sh1 VS NC. In GO enrichment analysis,the biological process is mainly in the cell ions homeostasis and the molecular function is mainly in inflammation response,chemotaxis,innate immune response, and extracellular matrix. KEGG analysis shows that differential genes are enriched in cytokine-cytokine receptor interaction ,JAK-STAT signaling pathway and PI3K-Akt signaling pathways.We identified 2600 differential genes, of which 1523 were up-regulated and 1077 were down-regulated in A549 sh4 VS NC. In GO enrichment analysis,the biological process is mainly in the cell ions homeostasis and the molecular function is mainly in chemokine receptor binding,nic hydroxy compound metabolic process,alcohol metabolic process, and extracellular matrix. KEGG analysis shows that differential genes are enriched in cytokine-cytokine receptor interaction ,glutathione metabolism and chemical carcinogenesis. Conclusion: Based on RNA-seq analysis, the regulatory network involved in DSTY in Lung cancer .

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Expression data from limbic system in mouse brain treated with or without rosemary extract (RE)

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