Nave, liver- and gut-activated CD8 OT-I T cells show differential migration behaviour. To analyze which genes could be responsible for different migration patterns, nave, liver-activated and gut-activated CD8 T cells were isolated and compared for their gene expression profile.
Influence of CD8 T cell priming in liver and gut on the enterohepatic circulation.
Sex, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
microRNA cluster 106a~363 is involved in T helper 17 cell differentiation.
Sex
View SamplesCombined analysis of mRNA and miRNA transcriptoms revealed a complex network regulating major immune regulatory signaling pathways
microRNA cluster 106a~363 is involved in T helper 17 cell differentiation.
Sex
View SamplesPulmonary hypoxia is a common complication of chronic lung diseases leading to the development of pulmonary hypertension. The underlying sustained increase in vascular resistance in hypoxia is a response unique to the lung. Thus, we hypothesised that there are genes whose expression is altered selectively in the lung in response to alveolar hypoxia.
Lung-selective gene responses to alveolar hypoxia: potential role for the bone morphogenetic antagonist gremlin in pulmonary hypertension.
No sample metadata fields
View SamplesThe invasion of activated fibroblasts represents a key pathomechanism in fibrotic diseases, carcinogenesis and metastasis. Here, invading fibroblasts contribute to fibrotic extracellular matrix (ECM) formation and the initiation, progression, or resistance of cancer, respectively. To construct a transcriptome-wide signature of fibroblast invasion, we used a multiplex phenotypic 3D invasion assay using murine lung fibroblasts. Microarray-based gene expression profiles of invading and non-invading fibroblasts were highly distinct: 1049 genes were differentially regulated (>1.5-fold). An unbiased pathway analysis (Ingenuity) identified a significant enrichment for the functional clusters invasion of cells, idiopathic pulmonary fibrosis (IPF) and metastasis. Particularly, matrix metalloprotease13 (MMP13), transforming growth factor (TGF)1, Caveolin1 (Cav1), Phosphatase and Tensin Homolog (Pten), and secreted frizzled-related protein1 (Sfrp1) were among the highest regulated genes. In silico analysis by Ingenuity predicted TGF1, epidermal growth factor (EGF), fibroblast growth factor2 (FGF2), and platelet-derived growth factor (PDGF)-BB to induce invasion. As such, these growth factors were tested in the 3D invasion assay and displayed a significant induction of invasion, thus validating the transcriptome profile. Accordingly, our transcriptomic invasion signature describes the invading fibroblast phenotype in unprecedented detail and provides a tool for future functional studies of cell invasion and therapeutic modulation thereof.
Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay.
Sex
View Samples10 adult participants of dose group 3x10^6 pfu, and 10 participants of dose group 20x10^6 pfu. Reads were aligned to the human reference assembly (GRCh38.p7) using STAR software (v2.4.2a; option ''--quantMode GeneCounts''). Gene annotation was obtained from Ensembl (release 79, ensemble.org). VOOM+Limma analysis (R software, version 3.2.2) was used to assess differential gene expression at each post-vaccination day (d1, d3 and d7) against baseline (d0). Next, we intergreted gene expression data and antibody response using an sPLS algorithm, in order to down-select genes correlating with multivariate antibody responses at days 28, 54, 84,180. Overall design: 56 samples from D0, D1, D3 and D7 were analysed. Data from samples with low RIN (RIN <8, 17 samples), low RNA or library concentration (2 samples), missing samples (5 samples) were set to missing.
Systems Vaccinology Identifies an Early Innate Immune Signature as a Correlate of Antibody Responses to the Ebola Vaccine rVSV-ZEBOV.
Specimen part, Subject
View SamplesGene expression of the F1 Hybrids between two soybean parents (NMS4-44-329 and N7103) were compared. Changes in gene expression were correlated with agronomic traits. Overall design: RNA was isolated from leaf matrial harvested from the field in july of 2015. Four replicates were grown at two location in a random complete block design. Each samples is represented from three or four replications form each location
Changes in gene expression between a soybean F1 hybrid and its parents are associated with agronomically valuable traits.
Specimen part, Subject
View SamplesWildtype mice were given saline or bleomycin by oropharyngeal instillation. After 14 days, during the fibrotic phase of the response, lungs were dissected and total RNA was extracted and used for gene expression profiling. The aim was to identify those genes regulated during the development of fibrosis in this animal model of bleomycin-induced lung fibrosis.
Increased local expression of coagulation factor X contributes to the fibrotic response in human and murine lung injury.
Sex, Specimen part, Treatment
View SamplesWe analyzed anti-proliferative dominant-negative Brd4 mutants that compete with the function of distinct Brd4 domains. We used these Brd4 mutants to compare the Brd4-specific transcriptome with the transcriptome of JQ1 treated cells. Overall design: We performed polyA RNA-seq of Raji cells expressing Brd4 constructs f3 and f9 (dnBrd4_f3/f9) and Raji cell expressing the luciferase control vector treated with JQ1 (luc_JQ1) or DMSO as control (luc_DMSO).
Transcriptome analysis of dominant-negative Brd4 mutants identifies Brd4-specific target genes of small molecule inhibitor JQ1.
Cell line, Treatment, Subject
View SamplesAccurate and reproducible quantitation of target genes depends on correct normalization. Historically, genes with variable tissue transcription e.g. GAPDH, have been used as normalization factors which is problematic, particularly in clinical samples which often are derived from different tissue sources. Using a large-scale gene database (GeneChip (Affymetrix U133A) dataset of 36 gastrointestinal tumors and normal tissues), we identified 8 candidate reference genes that were highly expressed with low variability and established expression levels by real-time RT-PCR in an independent set of GI tissue samples (n=42).
GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR.
No sample metadata fields
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