A data set of normal epithelium, serous ovarian surface epithelial-stromal tumors (benign and type II malignancies), stroma distal to tumor, and stroma adjacent to tumor (50 samples total). Additional cel files are included which represent replicate sampling from patients, and cel files that failed quality control but may be bioinformatically interesting. Additional replicate or failed cel files were not included in the final analysis (and so these samples were not included in the matrix).
Dysregulation of AKT3 along with a small panel of mRNAs stratifies high-grade serous ovarian cancer from both normal epithelia and benign tumor tissues.
Specimen part, Subject
View SamplesDifferent strains of T. brucei induce different degrees of pathology in infected animals, and TREU927-infected mice display greater splenomegaly and anaemia than 247-infected mice. The analysis of differential host gene expression in infected spleens has allowed the identification of which pathways or processes are crucial in determining the progression of disease, for example IL10, LXR/RXR activation and alternative macrophage activation.
Role for parasite genetic diversity in differential host responses to Trypanosoma brucei infection.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.
Specimen part, Cell line
View SamplesGene-expression in siRNA treated U2OS and hTERT-RPE1 cells showed that CASP8AP2, NPAT and HINFP do not regulate expression of each other, and do not have any common target genes, except histones. Most histone genes are downregulated in U2OS cells following loss of CASP8AP2, NPAT or HINFP. In normal cells, highly-expressed histone genes were downregulated, albeit less than in tumor cells following loss of CASP8AP2. The p53 target genes were upregulated relatively late, clearly after the changes in expression of histone genes were observed.
Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.
Cell line
View SamplesTF binding clusters in promoter correlate well with gene expression. We used ChIP-seq to map binding sites of the majority of highly expressed TFs in the cell. The size of clusters of TFs in the promoters of genes were found to correlate well with gene expression.
Transcription factor binding in human cells occurs in dense clusters formed around cohesin anchor sites.
Cell line
View SamplesWe provide a map of human ILC heterogeneity across multiple anatomical sites. Tissue-specific distinctions are particularly apparent for ILC1 populations, whose distribution was markedly altered in obesity or aging. Furthermore, the degree of ILC1 population hetero- geneity differed substantially in lymphoid versus mucosal sites. Together, these analyses comprise a comprehensive characterization of the spatial and temporal dynamics regulating the anatomical distri- bution, subset heterogeneity, and functional poten- tial of ILCs in non-diseased human tissues. Overall design: We present a quantitative analysis of ILC distribution and heterogeneity in lymphoid, mucosal, and metabolic tissues obtained from a diverse cohort of 44 previously non-diseased organ donors over a wide range of ages and body mass indexes (BMIs).
Spatial and Temporal Mapping of Human Innate Lymphoid Cells Reveals Elements of Tissue Specificity.
Specimen part, Subject
View SamplesGene expression profiles of 10 uterine leiomyomas and their matched normal myometrium specimens were studied using Affymetrix GeneChip Human Genome U133 Plus 2.0 gene expression arrays. Four tumors displayed a codon 44 mutation, four carried a intron 1 mutation, and the remaining two displayed no MED12 mutation.
MED12, the mediator complex subunit 12 gene, is mutated at high frequency in uterine leiomyomas.
Specimen part, Subject
View SamplesTo identify downstream targets of Jak/Stat3 pathways without being distracted by differentiation signalings from MEK/ERK pathway, we exploited a engineered B6 cells, which stably stably expressing a chimeric receptor (GRgp-Y118F). The chimeric receptor can induce the phosphorylation of Stat3 by GCSF without activating the MEK/ERK pathway. To mimic the effect of GCSF, the chimeric B6 cells were also treated with LIF plus a selective MEK chemical inhibitor, PD0325901, to induce LIF/Jak/Stat3 but MEK/ERK pathways.
Gbx2, a LIF/Stat3 target, promotes reprogramming to and retention of the pluripotent ground state.
Cell line
View SamplesOncogene-induced senescence (OIS) is a tumor suppression mechanism that blocks cell proliferation in response to oncogenic signalling. OIS is frequently accompanied by multinucleation; however, the origin of this is unknown. Here we show that multinucleate OIS cells originated mostly from failed mitosis. Prior to senescence, mutant RasV12 activation in primary human fibroblasts compromised mitosis, associated with abnormal expression of mitotic genes that enter M-phase. Simultaneously, RasV12 activation enhanced survival of damaged mitoses, culminating in extended mitotic arrest and aberrant exit from mitosis via mitotic slippage. ERK-dependent transcriptional up-regulation of Mcl1 was responsible for enhanced slippage of cells with mitotic defects and subsequent cell survival. Importantly, mitotic slippage and oncogene signalling synergistically induced senescence and key senescence regulators p21 and p16. We propose that activated Ras induces transcriptional changes that predispose cells undergoing OIS to mitotic stress and multinucleation. Overall design: We used RNA-seq of IMR90 cells with inducible expression of oncogenic RasV12 that were synchronised in mitosis, to characterise the nature of mitotic defects that lead to multinucleation of oncogene-induced senescent cells
Mitotic Stress Is an Integral Part of the Oncogene-Induced Senescence Program that Promotes Multinucleation and Cell Cycle Arrest.
No sample metadata fields
View SamplesAnalysis of ovarian cancer cell lines after knockdown of FGFRL1 using SiRNA.
FGFRL1 Promotes Ovarian Cancer Progression by Crosstalk with Hedgehog Signaling.
Cell line
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