The transcription factor, NF-B, plays a central role in the response to DNA damage. This ubiquitous family of proteins is made up of five subunits: p50 (NF-B1, p105), p52 (NF-B2, p100), p65 (relA), relB, and crel that appear in their mature form as dimers. Following stimulation, NF-B dimers translocate to the nucleus where they bind specific consensus elements (B-sites) in the promoter region of genes involved in cell survival, inflammation and the immune system. While there is a general propensity of NF-B to mediate survival, this is not always the case and several reports note the pro-apoptotic nature of the NF-B pathway. In examining the NF-B response to DNA damage, we have found that the p50 subunit plays a central role in modulating cytotoxicity following TMZ treatment in malignant glioma. In the current study, given the importance of p50 to the cytotoxic response to TMZ, we set out to identify NF-B-dependent factors that modulate the response to TMZ.
No associated publication
Specimen part, Cell line
View SamplesThe specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets (745 samples, from over 100 separate studies) derived from human primary cells and analysed on the Affymetrix U133plus2.0 array. Using the network analysis tool BioLayout Express3D we have constructed and clustered large correlation graphs of these data in order to identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control. We consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (www.biogps.org) and on macrophages.com (www.macrophages.com).
An expression atlas of human primary cells: inference of gene function from coexpression networks.
Specimen part
View SamplesPromoter region hypermethylation and transcriptional silencing is a frequent cause of tumour suppressor gene (TSG) inactivation in many types of human cancers. Functional epigenetic studies, in which gene expression is induced by treatment with demethylating agents, may identify novel genes with tumour-specific methylation. We used high-density gene expression microarrays in a functional epigenetic study of 11 renal cell carcinoma (RCC) cell lines. Twenty eight genes were then selected for analysis of promoter methylation status in cell lines and primary RCC. Eight genes (BNC1, PDLIM4/RIL, REPRIMORPRM, CST6, SFRP1, GREM1, COL14A1 and COL15A1) demonstrated frequent (>30% of RCC tested) tumour-specific promoter region methylation. Hypermethylation was associated with transcriptional silencing. Re-expression of BNC1, CST6, RPRM, and SFRP1 suppressed the growth of RCC cell lines. Whereas, RNAi-knock-down of BNC1, SFRP1 and COL14A1 increased the growth potential of RCC cell lines. Methylation of BNC1 or COL14A1 was associated with a poorer prognosis independent of tumour size, stage or grade. The identification of these epigenetically inactivated candidate RCC tumour suppressor genes can provide insights into renal tumourigenesis and a basis for developing novel therapies and biomarkers for prognosis and detection.
No associated publication
Cell line
View SamplesHere we compare transcriptomic data generated using Affymetrix one-cycle (standard labelling protocol), two-cycle (small-sample protocol) and IVT-Express protocols with the Affymetrix ATH1 array using Arabidopsis root samples. Results obtained with each protocol are broadly similar. However, we show that there are 35 probe sets (of a total of 22810) that are misrepresented in the two-cycle data sets. Of these, 33 probe sets were classed as mis-amplified when comparisons of two independent publicly available data sets were undertaken.
Statistical evaluation of transcriptomic data generated using the Affymetrix one-cycle, two-cycle and IVT-Express RNA labelling protocols with the Arabidopsis ATH1 microarray
Age, Specimen part, Time
View SamplesResponse of Saccharomyces cerevisiae strain BY4741 to desiccation
Phenomic and transcriptomic analyses reveal that autophagy plays a major role in desiccation tolerance in Saccharomyces cerevisiae.
Time
View SamplesWe have generated transgenic mice expressing constitutively activated aryl hydrocarbon receptor (CA-AhR) to examine the biological consequences of AhR activation..
A novel role for the dioxin receptor in fatty acid metabolism and hepatic steatosis.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
No associated publication
Specimen part
View SamplesWe used full genome microarrays to profile the full lifetime of the mouse placenta from embryonic day 8.5 (e8.5), at the time of chorioallantoic fusion, until postnatal day 0 (P0).
Genomic evolution of the placenta using co-option and duplication and divergence.
Specimen part
View SamplesSuperSeries contain expression data from the nuclei of cell types involved in patterning events, with focus on root apical stem cell formation, at 16-cell stage, early globular stage and late globular stage in the early Arabidopsis embryo (atlas). Expression data comparing nuclear and cellular RNA isolated from whole 16-cell stage Arabidopsis embryos is also included.
Transcriptome dynamics revealed by a gene expression atlas of the early Arabidopsis embryo.
Specimen part
View SamplesWe used full genome microarrays to profile the full lifetime of the mouse placenta from embryonic day 8.5 (e8.5), at the time of chorioallantoic fusion, until postnatal day 0 (P0). For these samples, at each stage the fetal placenta and maternal decidual tissues were dissected and profiled separately (See series 1).
Genomic evolution of the placenta using co-option and duplication and divergence.
Specimen part
View Samples