This SuperSeries is composed of the SubSeries listed below.
AP-2γ regulates oestrogen receptor-mediated long-range chromatin interaction and gene transcription.
Cell line
View SamplesEstrogen receptor (ER) is key player in the progression of breast cancer. ER binds to DNA and mediates long-range chromatin interactions throughout the genome, but the underlying mechanism in this process is unclear. Here, we show that AP-2 motifs are highly enriched in the ER binding sites (ERBS) identified from the recent ChIA-PET of ER. More importantly, we demonstrate that AP-2 (also known as TFAP2C), a member of the AP-2 family which has been implicated in breast cancer oncogenesis, is recruited to chromatin in a ligand-independent manner and co-localized with ER binding events. Furthermore, pertubation of AP-2 expression disrupts ER DNA binding, long-range chromatin interactions, and gene transcription. Using ChIP-seq, we show that AP-2 and ER binding occurs in close proximity on a genome-wide scale. The majority of these shared genomic regions are also occupied by the pioneer factor, FoxA1. AP-2 is required for efficient FoxA1 binding and vice versa. Finally, we show that most ERBS associated with long-range chromatin interactions are co-localized with both AP-2 and FoxA1. Together, our results suggest AP-2 is an essential factor in ER-mediated transcription, primarily working together with FoxA1 to facilitate ER binding and long-range chromatin interactions.
AP-2γ regulates oestrogen receptor-mediated long-range chromatin interaction and gene transcription.
Cell line
View SamplesRNA-Seq uncovers transcriptomic variations associated with the lethal phenotype conversion on LNCaP progression cell model
No associated publication
No sample metadata fields
View SamplesBackground
Gene expression profile of cervical and skin tissues from human papillomavirus type 16 E6 transgenic mice.
No sample metadata fields
View SamplesCopper-based chemotherapeutic compounds Casiopeinas, have been presented as able to promote selective programmed cell death in cancer cells, thus being proper candidates for targeted cancer therapy. DNA fragmentation and apoptosis -in a process mediated by reactive oxygen species- for a number of tumor cells, have been argued to be the main mechanisms. However, a detailed functional mechanism (a model) is still to be defined and interrogated for a wide variety of cellular conditions; before establishing settings and parameters needed for their wide clinical application.
Whole genome gene expression analysis reveals casiopeína-induced apoptosis pathways.
Cell line
View SamplesA genome-wide map of circular RNA in adult zebrafish.
No associated publication
No sample metadata fields
View SamplesSpermatogenesis is a complex differentiation process that involves the successive and simultaneous execution of three different gene expression programs: mitotic proliferation of spermatogonia, meiosis, and spermiogenesis. Testicular cell heterogeneity has hindered its molecular analyses. Moreover, the characterization of short, poorly represented cell stages such as initial meiotic prophase ones (leptotene and zygotene) has remained elusive, despite their crucial importance for understanding the fundamentals of meiosis.We have developed a flow cytometry-based approach for obtaining highly pure stage-specific spermatogenic cell populations, including early meiotic prophase. Here we combined this methodology with next generation sequencing, which enabled the analysis of meiotic and postmeiotic gene expression signatures in mouse with unprecedented reliability. Interestingly, we found that a considerable number of genes involved in early as well as late meiotic processes are already on at early meiotic prophase, with a high proportion of them being expressed only for the short time lapse of lepto-zygotene stages. Besides, we observed a massive change in gene expressionpatterns during medium meiotic prophase (pachytene) when mostly genes related to spermiogenesis and sperm function are already turned on. This indicates that the transcriptional switch from meiosis to post-meiosis takes place very early, during meiotic prophase, thus disclosing a higher incidence of post-transcriptional regulationin spermatogenesis than previously reported. Moreover, we found that a good proportion of the differential gene expression in spermiogenesis corresponds to up-regulation of genes whose expression starts earlier, at pachytene stage; this includes transition protein- and protamine-coding genes, which have long been claimed to switch on during spermiogenesis. In addition, our results afford new insights concerning X chromosome meiotic inactivation and reactivation. This work provides for the first time an overview of the time course for the massive onset and turning off of the meiotic and spermiogenic genetic programs. Importantly, our data represent a highly reliable information set about gene expression in pure testicular cell populations including early meiotic prophase, for further data mining towards the elucidation of the molecular bases of male reproduction in mammals.
No associated publication
Sex, Specimen part, Cell line
View SamplesHistological grading of breast cancer defines morphological subtypes informative of metastatic potential, although not without considerable inter-observer disagreement and clinical heterogeneity particularly among the moderately differentiated grade II (G2) tumors. We posited that a gene expression signature capable of discerning tumors of grade I (G1) and grade III (G3) histology might provide a more objective measure of grade with prognostic benefit for patients with moderately differentiated disease. To this end, we studied the expression profiles of 347 primary invasive breast tumors analyzed on Affymetrix microarrays. Using class prediction algorithms, we identified 264 robust grade-associated markers, six of which could accurately classify G1 and G3 tumors, and separate G2 tumors into two highly discriminant classes (termed G2a and G2b genetic grades) with patient survival outcomes highly similar to those with G1 and G3 histology, respectively. Statistical analysis of conventional clinical variables further distinguished G2a and G2b subtypes from each other, but also from histologic G1 and G3 tumors. In multivariate analyses, genetic grade was consistently found to be an independent prognostic indicator of disease recurrence comparable to that of lymph node status and tumor size. When incorporated into the Nottingham Prognostic Index, genetic grade enhanced detection of patients with less harmful tumors, likely to benefit little from adjuvant therapy. Our findings show that a genetic grade signature can improve prognosis and therapeutic planning for breast cancer patients, and support the view that low and high grade disease, as defined genetically, reflect independent pathobiological entities rather than a continuum of cancer progression. Three separate breast cancer cohorts were analyzed: 1) Uppsala (n=249), 2) Stockholm (n=58), 3) Singapore (n=40). The Uppsala and Singapore data can be accessed here. The Stockholm cohort data can be accessed at GEO Series GSE1456.
Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer.
Age, Disease stage
View SamplesThe biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.
An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.
No sample metadata fields
View SamplesTo investigate the role of transcriptional factors Gcn4, Leu3, Gat1 and Met31 in the response to 3AT-induced amino acid starvation, we performed time-course microarray studies of wild-type, single deletion and double deletion strains. The analyses provide insight into a complex regulatory response involving at least four transcription factors.
No associated publication
Treatment
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