Effects of SLS or urushiol on the whole-genome scale transcription of human epidermal keratinocytes.
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE126354 | GEO | 2019/11/01
REPOSITORIES: GEO
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Project description:Background/Aims:The ability of regeneration varies widely from invertebrates to vertebrates. Some animals, for example, flatworms, newts, salamanders, and lower vertebrates have the outstanding ability to regenerate all the organs even the whole individual. Unfortunately, the regenerative capacity of humans extremely attenuates along with the biological evolution and this makes it difficult for humans to recover from damaged or missing organs or tissues, and even cause serious loss of function or death. However, the research on regeneration mechanisms is limited and incomplete so far. Here, we investigated the biological mechanisms of zebrafish caudal fin regeneration. Methods:The zebrafish was used as the research object to analyze the differences of mRNA and ncRNA expressed in new tissues at 0d, 3d, and 7d after caudal fin removal, and analyzed the molecular mechanism of caudal fin regeneration from the perspective of the whole transcriptome. Results: We observed that the amputated caudal fin went through a complex genetic change, especially at 3 dpa. This result showed that genes related to response to cell cycle and wounding might play a role in caudal fin regeneration.The up regulated DEGs at 3 dpa (blastema outgrowth stage) were dramatically enriched in 20 Biological Processes (FDR < 0.05), three of which were cell cycle (GO:0007049), mitotic cell cycle (GO:0000278), and cell cycle process (GO:0022402), one was response to wounding (GO:0009611), etc. Conclusion: Taken together, the results revealed that the DEGs were enriched in numerous biological processes, molecular function, cellular component, and signaling pathways, suggesting that the caudal fin regeneration is a highly complicated process of the molecular mechanism.
2022-04-04 | GSE160909 | GEO
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.
2020-05-03 | GSE149755 | GEO
Project description:Background: In immunodeficient mice, the growth and egg laying of schistosome were significantly retarded or inhibited, and their virulence on the host was also weakened. Some studies have suggested that host factors including endocrine and immune signals can modulate the parasite’s development and maturation. However, it is still not clear for the molecular mechanisms underlying the growth and maturation regulation of schistosome. Methodology/Principal results: We isolated the total RNAs of female and male schistosome from immunodeficient SCID mice and immunocompetent BALB/c mice (labeled as S_F, S_M, B_F and B_M) obtained at five weeks post infection with cercariae, and constructed cDNA libraries for RNA deep sequencing on an Illumina (Solexa) platform. In the results, the mRNAs were distinguished from long non-coding RNAs after blast to the reference Schistosoma japonicum genome, assemble and assessment of coding potential of the clean reads between S_F and B_F, and between S_M and B_M. The RNA-Seq yielded 90 to 142 million raw reads and 84 to 134 million clear reads per sample for the four schistosome samples. There are 56% to 65% of the clean reads mapped to the reference S. japonicum genome data. Given P-value <0.05, 298 differentially expressed genes (DEGs, mRNAs) for pairwise comparison of the above schistosome samples were identified. In detailed, 240 DEGs were identified in S_F vs B_F, of which 152 DEGs were up-regulated (147 DEGs were present in S_F worms but absent or undetected technically in B_F worms) and 88 were down-regulated (83 DEGs were present in B_F worms but absent or undetected technically in S_F worms). 62 DEGs were identified in S_M vs B_M, of which 39 were up-regulated (29 DEGs were present in S_M worms but absent or undetected technically in B_M worms) and 23 were down-regulated (22 DEGs were present in B_M worms but absent or undetected technically in S_M worms). Four differentially expressed mRNAs were shared among the two comparisons (present both in female and male worms), which were Sjp_0117620 (26S proteasome subunit P28-related), Sjp_0127870 (leucine zipper-EF-hand-containing transmembrane protein 1, mitochondrial precursor), Sjp_0130040 (putative dynein heavy chain) and Sjp_0094540 (hypothetical protein containing proteinase inhibitor I25, cystatin domain，SJCHGC07500 protein, partial). There were other 236 DEG specific in the comparison of S_F and B_F, and 58 DEG specific in the comparison of S_M and B_M. GO analysis was performed to summarize and explore the major GO categories of the DEGs which may be susceptible to host environments. The above DEGs of female comparison and male comparison were annotated with GO terms in three independent categories: biological processes (400 GO terms were hit for annotation of DEGs of female comparison and 287 GO terms were hit for annotation of DEGs of male comparison), molecular functions (231 GO terms were hit for annotation of DEGs of female comparison and 163 GO terms were hit for annotation of DEGs of male comparison), and cellular components (88 GO terms were hit for annotation of DEGs of female comparison and 75 GO terms were hit for annotation of DEGs of male comparison). The biological processes analysis revealed the predominant DEGs of female worms were involved in response to microtubule-based process, while predominant DEGs of male worms were involved in response to response to DNA damage stimulus, oxidation-reduction process and cellular response to stress. The molecular functions, some DEGs of female and male worms were annotated with calcium-dependent phospholipid binding activities in common. Notably, genes coding for microtubule associated complex, cytoskeletal part, cytoskeleton and microtubule cytoskeleton accounted for large portion of annotated DEGs of female worms in the cellular components analysis, while gene coding for nucleoplasmic THO complex of male worms were identified in the cellular components analysis. The KEGG pathway analysis showed many of the DEGs of female worms were involved in purine metabolism, RNA polymerase, fatty acid biosynthesis, fatty acid degradation and pyrimidine metabolism. Many of the DEGs of male worms were involved in oxidative phosphorylation, riboflavin metabolism and tyrosine metabolism. Conclusions/Significance: This study provides a comparative gene expression profiles of schistosomes derived from SCID mice and immunocompetent BALB/c mice. A number of genes potentially regulating the development of schistosomes were identified. These findings lay the foundation for schistosomiasis research in parasite-host interaction at the transcriptional level and provide a valuable resource for screening antischistosomal intervention targets or vaccine candidates.
2020-03-31 | GSE122317 | GEO
Project description:Macrophages possess the hallmark feature of plasticity, allowing them to undergo a dynamic transition between M1 and M2 polarized phenotypes. The aim of the present study was to screen for differentially expressed genes (DEGs) that were associated with macrophage polarization. The transcription profiles of three M1 and three M2 samples were obtained using microarray analysis. Based on the threshold of fold-change >2.0 and a p-value < 0.05, we screened a total of 1,253 DEGs, of which 696 were upregulated and 557 downregulated in M1 macrophages compared to that in M2 macrophages. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were also performed. A gene-gene interaction network of the DEGs was constructed using the STRING database. GO annotation identified three categories, which included cellular component (CC), molecular function (MF), and biological process (BP), with 34 and 40 enrichment terms consisting of upregulated and downregulated DEGs, respectively. GO enrichment analysis of DEGs was mainly associated with protein binding, response to stimulus, cell differentiation, and regulation of biological process. KEGG enrichment identified 15 and four pathways involving upregulated and downregulated DEGs, respectively. Signaling pathway analysis showed that these DEGs were mainly involved in apoptosis, HIF-1 signaling pathway, innate immune system, TNF signaling pathway, cytokine-cytokine receptor interaction, and other signal transduction pathways. Interaction network analysis indicated that Tnf, Il6, Il1b, Socs3, Nos2, Hif1a, and other genes may play key roles in macrophage polarization. This study provides new insights into the role of genes in macrophage differentiation and polarization.
2018-01-01 | GSE81922 | GEO
Project description: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.
2021-07-29 | GSE180884 | GEO
Project description:The skin barrier consists of multiple lipid-enriched layers. Sodium lauryl sulfate is a well-known substance that can disrupt the skin barrier. The mechanisms underlying the barrier repair process, especially the influence of topical sodium lauryl sulfate treatment in the barrier recovery phase remain unresolved. To understand the process of reconstruction of the intercellular lipid layer of the skin after acute barrier disruption by sodium lauryl sulfate treatment in vivo.
2023-01-01 | GSE146969 | GEO
Project description:In this study, we established the COVID-19 infection model in cynomolgus macaques (CMs), the differentially expressed proteins was analyzed in lung tissue collected from 3 untreated (NC1-3) and 4 CMs inoculated with SARS-CoV-2 for 7 days (nCoV1-4). The results showed the differentially expressed genes (DEGs) before and after exposure. The median CV values was analyzed to confirm the proteomics data with good degree of consistency and reproducibility (median<0.25). The histogram of GO terms enriched in biological process, cellular component and molecular function.
2022-07-06 | PXD034589 | Pride
Project description:To explore the regulation mechanism of GhWRKY16 in fiber development, we performed a transcriptome deep sequencing (RNA-seq) analysis on 9 DPA fibers from wild type and GhWRKY16-RNAi seeds. We identified 2,186 differentially expressed genes (DEGs), consisting of 1,088 upregulated genes and 1,098 downregulated genes Gene ontology (GO) cluster analysis showed that the DEGs regulated by GhWRKY16 are classified in diverse molecular functions, cellular components and biological processes.
2021-05-14 | GSE174452 | GEO
Project description:Irritant contact dermatitis (ICD) pathogenesis is not completely understood and the genes participating in the epidermal response towards chemical irritants are only partly known. It is commonly accepted that different irritants have different mechanisms of action in the development of ICD. To define the differential molecular events induced in the epidermis by different irritants, we collected sequential biopsies (½, 4 and 24 hours after a single exposure and at day 11 after repeated exposure) from human volunteers exposed to sodium lauryl sulphate (SLS) or nonanoic acid (NON). Gene expression analysis using high-density oligonucleotide microarrays revealed essentially different pathway responses ½ h after exposure: NON transiently induced the IL-6 pathway as well as a number of mitogen activated signalling cascades including ERK and growth factor receptor signalling, whereas SLS transiently downregulated cellular energy metabolism pathways. Differential expression of the cyclooxygenase-2 and matrix metalloproteinase 3 transcripts was confirmed immunohistochemically. After cumulative exposure, 883 genes were differentially expressed while 26 suggested common biomarkers were identified . In conclusion, we bring new insights into two hitherto less well elucidated phases of skin irritancy: the very initial as well as the late phase after single and cumulative exposure, respectively.
2010-08-20 | GSE18206 | GEO
Project description:We profiled the transcriptome of Dexamethasone-, Tofacitinib-, Tacrolimus-, Prednisolone-, sodium lauryl sulfate (SLS)-, Aciclovir-, Benzoic acid-, Genistein-, Ribavirin-, Mercuric chloride-, Cyclosporine- and LPS-treated monocytes and without chemical-treated (basal, vehicle) monocytes. A Bioconductor software package in R called edgeR was used to conduct the differential expression analysis. Lowly expressed genes were filtered out by keeping only genes with worthwhile counts in a minimum number of samples. The default normalization method in edgeR, trimmed mean of M-values (TMM) normalization was performed, and dispersion estimates (common and tagwise dispersions) were obtained to proceed with differential expression determination. Differentially expressed genes were determined by conducting pairwise comparisons between each type of immunosuppressor or non-immunosuppressor and vehicle or control by applying fold-change and p-value cutoffs (|fold-change| > 1.5 and p-value < 0.05). Each immunosuppressor, excluding sodium lauryl sulfate, was compared with the vehicle group. Immunosuppressor sodium lauryl sulfate and non-immunosuppressor lipopolysaccharide were compared with the basal group. Non-immunosuppressors genistein and ribavirin were compared with the vehicle group.
2021-12-11 | GSE190511 | GEO