Clinical heterogeneity of esrtrogen receptor-negative, progesterone receptor-negative [ER(-)/PR(-)] breast cancer (BC) suggests biological heterogeneity. We performed gene expression analysis of primary BCs and BC cell lines to identify the underlying biology of ER(-)/PR(-) disease, define subsets, and identify potential therapeutic targets.
An estrogen receptor-negative breast cancer subset characterized by a hormonally regulated transcriptional program and response to androgen.
Specimen part, Disease, Disease stage, Treatment
View SamplesComparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.
Latent bone metastasis in breast cancer tied to Src-dependent survival signals.
No sample metadata fields
View SamplesComparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.
Latent bone metastasis in breast cancer tied to Src-dependent survival signals.
No sample metadata fields
View SamplesComparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.
Latent bone metastasis in breast cancer tied to Src-dependent survival signals.
No sample metadata fields
View SamplesAnalysis of MCF7 cells transfected with ER mutants (S463P, Y537S and D538G) in phenol-red free, charcoal stripped FBS media and regular DMEM/F12 media. Results provide insight on the gene expression profiles induced by the various ER mutants.
ESR1 ligand-binding domain mutations in hormone-resistant breast cancer.
Cell line
View SamplesMorbidity and mortality associated with retinoblastoma have decreased drastically in recent decades, in large part due to better prediction of high-risk disease and appropriate treatment stratification. High-risk histopathologic features and severe anaplasia both predict the need for more aggressive treatment; however, not all centers are able to easily assess tumor samples for degree of anaplasia. Instead, identification of genetic signatures able to distinguish among anaplastic grades and thus predict high versus low risk retinoblastoma would facilitate appropriate risk stratification in a wider patient population. A better understanding of genes dysregulated in anaplasia would also yield valuable insights into pathways underlying the development of more severe retinoblastoma. Here, we present the histopathologic and gene expression analysis of 28 retinoblastoma cases using microarray analysis. Tumors of differing anaplastic grade show clear differential gene expression, with significant dysregulation of unique genes and pathways in severe anaplasia. Photoreceptor and nucleoporin expression in particular are identified as highly dysregulated in severe anaplasia and suggest particular cellular processes contributing to the development of increased retinoblastoma severity. A limited set of highly differentially expressed genes are also able to accurately predict severe anaplasia in our dataset. Together, these data contribute to the understanding of the development of anaplasia and facilitate the identification of genetic markers of high-risk retinoblastoma.
Distinct Gene Expression Profiles Define Anaplastic Grade in Retinoblastoma.
Specimen part
View SamplesSoybean plants that do not produce a sink, such as depodded or male sterile plants, exhibit physiological and morphological changes during the reproductive stages, including increased levels of nitrogen and starch in the leaves and a delayed senescence. To identify transcriptional changes that occur in leaves of sink-limited plants, we used RNAseq to compare gene expression levels in trifoliate leaves from depodded and ms6 male sterile plants and control plants. In sink-limited tissues, we observed a deferral of the expression of senescence-associated genes and a continued high expression of genes associated with the maturity phase of leaf development. We identified GO-terms associated with growth and development and storage protein in sink limited tissues. We also identified that the bHLH. ARFs, and SBP transcription factors were expressed in sink limited tissues while the senescing control leaves expressed WRKY and NAC transcription factors. We identified genes that were not expressed during normal leaf development but highly expressed in sink-limited plants, including the D4 “non-yellowing” gene. These changes highlighted several metabolic pathways that were involved in distinct modes of resource parttioning in the “stay green” leaves. Overall design: Timecourse gene expression analysis of sink-limited soybean leaves. Gene expression was profiled from R2 growth stage (flowering) until the onset of leaf seenscence, and contrasted between mechanically and genetically sink-limited soybeans.
Transcriptional profiling of mechanically and genetically sink-limited soybeans.
Specimen part, Subject, Time
View SamplesWe use RNA sequencing technology in a time course study to measure transcript abundance from three developmental stages in cotyledons and five stages in the trifoliate leaf of Glycine max to identify genes with distinct temporal patterns of expression during leaf or cotyledon development. We also examine the diffrences between these two photosynthetic tissues. Overall design: Timecourse Expression analysis of Cotyledon Development and Leaf Development using RNAseq on distinct timepoints. 3 stages of the cotyledon were sequenced with 3 biological replicates in each stage. Five stages of the leaf were sequenced with 3 biological replicates for each stage.
Developmental profiling of gene expression in soybean trifoliate leaves and cotyledons.
Specimen part, Subject
View SamplesTranscriptome analyses using a wild-type strain of Saccharomyces cerevisiae were performed to assess the overall pattern of gene expression during the transition from glucose-based fermentative to glycerol-based respiratory growth. These experiments revealed a complex suite of metabolic and structural changes associated with the adaptation process. Alterations in gene expression leading to remodeling of various membrane transport systems and the cortical actin cytoskeleton were observed. Transition to respiratory growth was accompanied by alterations in transcript patterns demonstrating not only a general stress response, as seen in earlier studies, but also the oxidative and osmotic stress responses. In some contrast to earlier studies, these experiments identified modulation of expression for many genes specifying transcription factors during the transition to glycerol-based growth. Importantly and unexpectedly, an ordered series of changes was seen in transcript levels from genes encoding components of the TFIID, SAGA (Spt-Ada-Gcn5-Acetyltransferase), and SLIK (Saga LIKe) complexes and all three RNA polymerases, suggesting a modulation of structure for the basal transcriptional machinery during adaptation to respiratory growth. In concert with data given in earlier studies, the results presented here highlight important aspects of metabolic and other adaptations to respiratory growth in yeast that are common to utilization of multiple carbon sources. Importantly, they also identify aspects specific to adaptation of this organism to growth on glycerol as sole carbon source.
Transcriptome profiling of Saccharomyces cerevisiae during a transition from fermentative to glycerol-based respiratory growth reveals extensive metabolic and structural remodeling.
No sample metadata fields
View SamplesWe report a gene expression changes during development and maturation of the murine utricle Overall design: Using RNA-sequencing, we examined the gene expression in the murine utricle at E17.5, p0, and p9
SoxC transcription factors are essential for the development of the inner ear.
Specimen part, Cell line, Subject
View Samples