Transcription profiling by array of human hepatocarcinoma SMMC-7721 cells treated with a new compound IMB5043 against untreated controls
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Jianhua Gong
PROVIDER: E-MTAB-6359 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The mRNA microarray analysises was performed to explore the expression profiles of miRNAs using the same liver tissues of NFD, LSF and HSF groups Summary: An abstract of the experiment and the data analysis. Project Description: Sample and experiment information. Array Information: miRCURY™ LNA expression array information. Data Analysis for miRNAs: 1. Low intensity filtering and data normalization: After low intensity miRNAs filtering, raw signal intensities are normalized in Median method. (miRNAs that intensities>=30 in all samples are chosen for calculating normalization factor) 2. Quality assessment of miRNA data after filtering: Contains box plot, Correlation Matrix and scatter plot for miRNAs after normalization. 3. Differentially expressed miRNAs screening: Contains significant differentially expressed miRNAs that pass Volcano Plot filtering. (Fold Change>=1.5, P-value<=0.05) 4. Heat map and hierarchical clustering: Hierarchical clustering on the significant differentially expressed miRNAs that passed Volcano Plots filtering. Sample RNA Quality Control: Sample quality control data file from Nanodrop 1000 spectrophotometer and standard denaturing agarose gel electrophoresis. Methods: A brief introduction for microarray, experiment, and data analysis. FAQ: Frequently asked question Additional miRNA Array Analysis (charge an extra fee): Prediction Analysis for Microarrays (PAM analysis) miRNA Target Gene Prediction and Functional Analysis Additional files provided: Graphs (*.jpg) Raw Intensity File(*.xls, raw miRNAs signal intensity) Layout File (*.gal, the files contain information on the positioning of the capture probes on the array and microRNA annotations for your species of interest) Raw data files produced by GenePix Pro 6.0
2023-06-01 | E-MTAB-9169 | biostudies-arrayexpress
Project description:LncRNA expression profiling for liver tissues of mice fed for NFD, LSF and HSF groups Summary: An abstract of the experiment and the data analysis. Experiment Workflow: A workflow of the experiment and the data analysis. Project Description: Sample and experiment information. Array Information: Mouse 8 x 60K LncRNA expression array information. Summary Table of Files for Data Delivery: Contains summary table of files for data delivery and the recommended software programs for viewing the data. Data Analysis for LncRNAs 1. Raw LncRNA data normalization and low intensity filtering: Raw signal intensities were normalized in quantile method by GeneSpring GX v11.5.1, and low intensity LncRNAs were filtered (LncRNAs that at least 6 out of 9 samples have flags in Present or Marginal were chosen for further analysis, these LncRNAs can be found from the LncRNA Expression Profiling Data.xls file). 2. Quality assessment of LncRNA data after filtering: Contains Box Plot and Scatter Plot for LncRNAs after filtering (This data can be found from the LncRNA Expression Profiling Data.xls file). 3. Differentially expressed LncRNAs screening: Contains differentially expressed genes with statistical significance that passed Volcano Plot filtering (Fold Change >= 2.0, P-value <= 0.05) (This data can be found from the Differentially Expressed LncRNAs.xls file). 4. Heat Map and Hierarchical Clustering: Hierarchical Clustering of Differentially Expressed LncRNAs (The heat map can be found from the LncRNA Expression Profiling Data.xls file). Data Analysis for mRNAs 1. Raw mRNA data normalization and low intensity filtering: Raw signal intensities were normalized in quantile method by GeneSpring GX v11.5.1, and low intensity mRNAs were filtered (mRNAs that at least 6 out of 9 samples have flags in Present or Marginal were chosen for further analysis, these mRNAs can be found from the mRNA Expression Profiling Data.xls file). 2. Quality assessment of mRNA data after filtering: Contains Box Plot and Scatter Plot for mRNAs after filtering (This data can be found from the mRNA Expression Profiling Data.xls file). 3. Differentially expressed mRNAs screening: Contains differentially expressed genes with statistical significance that passed Volcano Plot filtering (Fold Change >= 2.0, P-value <= 0.05) (This data can be found from the Differentially Expressed mRNAs.xls file). 4. Heat Map and Hierarchical Clustering: Hierarchical Clustering of Differentially Expressed mRNAs (The heat map can be found from the mRNA Expression Profiling Data.xls file). 5. Pathway analysis: Pathway analysis of the differentially expressed mRNAs. 6. GO analysis: GO term analysis of the differentially expressed mRNAs. LncRNA Classification and Subgroup Analysis 1. Rinn lincRNAs profiling: Contains profiling data of all lincRNAs based on John Rinn's papers (This data can be found from the Rinn lincRNAs profiling.xls file). 2. LincRNAs nearby coding gene data table: Contains the differentially expressed lincRNAs and nearby coding gene pairs (distance < 300 kb) (This data can be found from the LincRNAs nearby coding gene data table.xls file). Sample RNA Quality Control: Sample quality control data file from NanoDrop ND-1000 spectrophotometer and standard denaturing agarose gel electrophoresis. Methods: A brief introduction of methods for sample preparation, microarray design, experiment, and data analysis.
2022-11-24 | E-MTAB-9167 | biostudies-arrayexpress
Project description:In this study, we aimed to characterise differentially regulated genes and pathways in skeletal muscle of Parkin KO mice as compared to wild type upon fasting. Fed and 48 h fasted mice were sacrificed and their Gas muscles were dissected. Total RNA was isolated using mirVANA™ miRNA isolation kit as per manufacturer’s guidelines.
2022-09-30 | E-MTAB-12273 | biostudies-arrayexpress
Project description:Paracoccidioides spp. is the etiological agent of Paracoccidioidomycosis (PCM), a systemicinfection with wide distribution in Latin America. Macrophages are very important cells during the response to infection by Paracoccidoides brasiliensis and understanding the interaction between the fungus and immune cells is very relevant for understanding the disease. In this study, we performed a proteomic analysis to assess the consequences of P. brasiliensis yeast infection on the THP-1 macrophage proteome and to verify whether there are differences between the proteome of cells infected with the live fungus. We identified 443 upregulated and 2247 downregulated proteins in macrophages infected with live P. brasiliensis yeasts, compared to uninfected macrophages. Proteins differentially expressed in cells infected are related to metabolism and energy production, protein synthesis and processing, transcription, cell cycle, DNA processing, cell signaling, oxidative stress, immune response, among other processes . Proteomic analysis revealed that P. brasiliensis, causes metabolic alterations in infected cells, drastically affecting energy production pathways. In addition, macrophages showed many upregulated, mostly downregulated, immune system proteins. Thus, the present work contributes to elucidate the changes that occur in immune cells in response to infection by P. brasiliensis and may help to better understand PCM.
2023-10-23 | PXD043727 | Pride
Project description:Use of combined estrus synchronization/superovulation treatments (SS) alters ovarian and en-dometrial gene expression patterns, impairing follicle and oocyte growth, fertilization, and em-bryo development. Since the impact of SS-treatments on the transcriptome of the surviving em-bryos remains undisclosed, we hereby examined gene expression changes in day 6 blastocysts that survived a brief regimen of synchronization treatment combined with superovulation. Embryos were surgically collection at day 6 after AI and transcriptome analysis performed on blas-tocyst-stage embryos with good morphology to disclose differentially expressed genes (DEGs) between groups at P-value < 0.05 and </> 1.5-fold change. Compared with the blastocysts from control (untreated) sows, the blastocysts from SS treated sows had moderate gene expression changes, with 7 pathways disrupted with a total of 10 transcripts affected, including metabolic RDH10 and SPTLC2 gene upregulation, and downregulation of oxidation related GSTK1 and GSTO1 genes. These gene expression alterations may suggest suboptimal embryo quality and could depress the embryos' response to oxidative stress, thereby impairing subsequent embryo development. These and previous findings call for avoidance of SS-treatments in embryo transfer programs.
2023-03-22 | E-MTAB-12820 | biostudies-arrayexpress
Project description:Thyroid carcinoma (TC) is generally associated with good prognosis, nevertheless no effective treatments are available for aggressive forms not cured by current therapies. We previously identified the coatomer protein complex zeta 1 (COPZ1), as a new putative therapeutic target for TC, since its depletion impairs the viability of tumor cells, leads to abortive autophagy, ER stress, unfolded protein response and apoptosis, and reduces the tumor growth of TC xenograft models. In this study, by combining genomic, proteomic and functional approaches, we provided evidence that COPZ1 silencing stimulates a type I IFN-mediated viral mimicry response, boosts the production of several inflammatory molecules and finally induces immunogenic cell death, which, in turn, promotes dendritic cell maturation and subsequent activation of T cells. Collectively, our findings support the notion that COPZ1 targeting can be exploited as a new strategy to kill cancer cells with the subsequent involvement of an anti-tumor immune response.
2020-03-05 | PXD014423 | Pride
Project description:We pooled six Peking- and six PI 88788-type soybean accessions with resistance to SCN and conducted transcript profilings for them in order to figure out the differences of constitutive resistances between them.
2023-05-05 | E-MTAB-12363 | biostudies-arrayexpress
Project description:We have got a yellow shell variety of Pinctada fucata martensii after years of artificial breeding. To identify differentially expressed genes between yellow shell and normal black shell pearl oysters, we performed label-free proteomic analyses by LC-MS using mantle edge tissues.
2019-11-13 | PXD012211 | Pride
Project description:This experiment was carried out to demonstrate the efficacy of our novel humanized mouse model for identifying the best potential donor for the recipient. We performed a transcriptome analysis comparing the allogeneic immune response in MLR and the Hu-NSG-PBMC model. We identified several clinically relevant markers of graft rejection, such as GZMB, PRF1, and IL2, were significantly up regulated in one of the related donors only observed in the allogeneic response generated in the humanized mouse model.
2021-04-04 | E-MTAB-10343 | biostudies-arrayexpress
Project description:The deep marine subsurface is one of the largest unexplored biospheres on Earth, where members of the phylum Chloroflexi are abundant and globally distributed. However, the deep-sea Chloroflexi have remained elusive to cultivation, hampering a more thorough understanding of their metabolisms. In this work, we have successfully isolated a representative of the phylum Chloroflexi, designated strain ZRK33, from deep-sea cold seep sediments. Phylogenetic analyses based on 16S rRNA genes, genomes, RpoB and EF-tu proteins indicated that strain ZRK33 represents a novel class within the phylum Chloroflexi, designated Sulfochloroflexia. We present a detailed description of the phenotypic traits, complete genome sequence and central metabolisms of the novel strain ZRK33. Notably, sulfate and thiosulfate could significantly promote the growth of the new isolate, possibly through accelerating the hydrolysis and uptake of saccharides. Thus, this result reveals that strain ZRK33 may play a crucial part in sulfur cycling in the deep-sea environments. Moreover, the putative genes associated with assimilatory and dissimilatory sulfate reduction are broadly distributed in the genomes of 27 metagenome-assembled genomes (MAGs) from deep-sea cold seep and hydrothermal vents sediments. Together, we propose that the deep marine subsurface Chloroflexi play key roles in sulfur cycling for the first time. This may concomitantly suggest an unsuspected availability of sulfur-containing compounds to allow for the high abundance of Chloroflexi in the deep sea.
2024-05-22 | PXD023380 | Pride