Molecular profiling of human mammary gland links breast cancer risk to a p27+ cell population with progenitor characteristics
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Kornelia Polyak
PROVIDER: E-GEOD-32017 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Here we describe the application of high-throughput sequencing technology for profiling histone and DNA methylation, and gene expression patterns of normal human mammary progenitor-enriched and luminal lineage-committed cells. We observed significant differences in histone H3 lysine 27 tri-methylation (H3K27me3) enrichment and DNA methylation of genes expressed in a cell type-specific manner, suggesting their regulation by epigenetic mechanisms and a dynamic interplay between the two processes that together define developmental potential. The technologies we developed and the epigenetically regulated genes we identified will accelerate the characterization of primary cell epigenomes and the dissection of human mammary epithelial lineage-commitment and luminal differentiation. Global profiling of differentially methylated regions in 2 cell types from 6 individuals.
2011-03-01 | E-GEOD-26139 | biostudies-arrayexpress
Project description:The transcriptome of the oomycete plant pathogen Phytophthora sojae was profiled at 10 different developmental and infection stages based on a 3'-tag digital gene expression (DGE) protocol. More than 90 million clean sequence tags were generated and compared to the P. sojae genome and its 19,027 predicted genes. A total of 14,969 genes were detected, of which 10,044 were deemed reliable because they mapped to unambiguous tags. A comparison of the whole-library genes expression patterns suggested four groups: 1) mycelia and zoosporangia (MY and SP); 2) zoospores and cysts (ZO and CY); 3) germinating cysts (GC); 4) five infection site libraries (IF1.5 to IF24h). The libraries from the different groups showed major transitional shifts in gene expression. From the ten libraries, 722 gene expression pattern clusters were obtained and the top 16 ones, containing more than half of the genes, comprised enriched genes with different functions including protein localization, triphosphate metabolism, signaling process, and non-coding RNA metabolism. An evaluation of the average expression level of 30 pathogenesis related gene families revealed that most were infection induced, but with diverse expression patterns and levels. A web-based server named the Phytophthora Transcriptional Database (PTD) has been established. The five axenically grown stages were mycelia (MY), zoosporangia (SP), zoospores (ZO), cysts (CY), and germinating cysts (GC). The five infection stages, 1.5, 3, 6, 12 and 24 h after inoculation onto susceptible soybean leaf tissues (IF1.5h to IF24h).
2011-09-01 | E-GEOD-29651 | biostudies-arrayexpress
Project description:This experiment contains Phytophthora sojae samples and RNA-seq data from experiment E-GEOD-29561 (https://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-29651/) to understand gene expression during the P. sojae life cycle. The transcriptome of the oomycete plant pathogen Phytophthora sojae was profiled at 5 different developmental stages: mycelia (MY), zoosporangia (SP), zoospores (ZO), cysts (CY) and germinating cysts (GC); based on a 3'-tag digital gene expression (DGE) protocol. More than 90 million clean sequence tags were generated and compared to the P. sojae genome and its 19,027 predicted genes. A total of 14,969 genes were detected, of which 10,044 were deemed reliable because they mapped to unambiguous tags. A web-based server named the Phytophthora Transcriptional Database (PTD) has been established.
2011-09-01 | E-MTAB-4039 | biostudies-arrayexpress
Project description:Fibro-adipogenic progenitors (FAPs) are emerging cellular components of the skeletal muscle regenerative environment. The alternative functional phenotype of FAPs - either supportive of muscle regeneration or promoting fibro-adipogenic degeneration M-bM-^@M-^S is a key determinant in the pathogenesis of muscular diseases, including Duchenne Muscular Dystrophy (DMD). However, the molecular regulation of FAPs is still unknown. We show here that an M-bM-^@M-^\HDAC-myomiR-BAF60 variant networkM-bM-^@M-^] regulates the functional phenotype of FAPs in dystrophic muscles of mdx mice. Combinatorial analysis of gene expression microarray and genome-wide chromatin remodeling by Nuclease accessibility (NA)-seq revealed that HDAC inhibitors de-repress a M-bM-^@M-^\latentM-bM-^@M-^] myogenic program in FAPs from dystrophic muscles at early stages of disease progression. In these cells HDAC inhibition promoted the expression of two core components of the myogenic transcriptional machinery, MyoD and BAF60C, and upregulated the myomiRs (miRs) 1.2, 133 and 206, which target two alternative BAF60 variants (BAF60A and B) ultimately leading to the activation of a pro-myogenic program at the expense of the fibro-adipogenic phenotype. By contrast, FAPs from dystrophic muscles at late stages of disease progression displayed resistance to HDACi-induced chromatin remodeling at myogenic loci and fail to activate the pro-myogenic phenotype. These results reveal a previously unappreciated disease stage-specific bipotency of mesenchimal cells within the regenerative environment of dystrophic muscles. Resolution of such bi-potency by epigenetic interventions, such as HDACi, provides the molecular rationale for the in situ reprogramming of target cells to promote therapeutic regeneration of dystrophic muscles. Genome-wide chromatin accessibility patterns in FAPs cells derived from mdx mice at different ages treated either with HDAC inhibitor Trichostatin A (TSA) or with vehicle (saline solution) were assessed using NA-seq (PMID: 19289091)
2014-04-02 | E-GEOD-52062 | biostudies-arrayexpress
Project description:Genome-wide gene expression profile using deep sequencing technologies can drive the discovery of cancer biomarkers and therapeutic targets. Such efforts are often limited to profiling the expression signature of either mRNA or microRNA (miRNA) in a single type of cancer.Here we provided an integrated analysis of the genome-wide mRNA and miRNA expression profiles of three different genitourinary cancers: carcinomas of the bladder, kidney and testis.Our results highlight the general or cancer-specific roles of several genes and miRNAs that may serve as candidate oncogenes or suppressors of tumor development. Further comparative analyses at the systems level revealed that significant aberrations of the cell adhesion process, p53 signaling, calcium signaling, the ECM-receptor and cell cycle pathways, the DNA repair and replication processes and the immune and inflammatory response processes were the common hallmarks of human cancers. Gene sets showing testicular cancer-specific deregulation patterns were mainly implicated in processes related to male reproductive function, and general disruptions of multiple metabolic pathways and processes related to cell migration were the characteristic molecular events for renal and bladder cancer, respectively. Furthermore, we also demonstrated that tumors with the same histological origins and genes with similar functions tended to group together in a clustering analysis. By assessing the correlation between the expression of each miRNA and its targets, we determined that deregulation of 'key' miRNAs may result in the global aberration of one or more pathways or processes as a whole.This systematic analysis deciphered the molecular phenotypes of three genitourinary cancers and investigated their variations at the miRNA level simultaneously. Our results provided a valuable source for future studies and highlighted some promising genes, miRNAs, pathways and processes that may be useful for diagnostic or therapeutic applications. Examination of mRNA expression of cancer and matched adjacent tissues of 7 testicular germ cell tumors and 10 transitional cell carcinomas of bladder
2013-09-01 | E-GEOD-31614 | biostudies-arrayexpress
Project description:We established a protocol of the SuperSAGE technology combined with next-generation sequencing, coined “High-Throughput (HT-) SuperSAGE”. SuperSAGE is a method of digital gene expression profiling that allows isolation of 26-bp tag fragments from expressed transcripts. In the present protocol, index (barcode) sequences are employed to discriminate tags from different samples. Such barcodes permit to enable researchers to analyze digital tags from many transcriptomes of many samples in a single sequencing run by simply pooling the libraries. Here, we demonstrated that HT-SuperSAGE provided highly sensitive, reproducible and accurate digital gene expression data. By increasing throughput for analysis in HT-SuperSAGE, various applications were expected and several examples of its applications were introduced in the present study, including analyses of laser-microdissected cells, biological replicates or tag extraction using different anchoring enzymes. 27 different tissue samples from three different life organisms were analyzed. About 2 samples, three different anchoring enzymes were employed.
2010-09-30 | E-GEOD-20682 | biostudies-arrayexpress
Project description:Transcriptome analysis is of great interest in clinical research, where significant differences between individuals can be translated into biomarkers of disease. Although next generation sequencing provides robust, comparable and highly informative expression profiling data, with several million of tags per blood sample, reticulocyte globin transcripts can constitute up to 76% of total mRNA compromising the detection of low abundant transcripts. We have removed globin transcripts from 6 human whole blood RNA samples with a human globin reduction kit and compared them with the same non-reduced samples using deep Serial Analysis of Gene Expression. Comparison of 6 whole blood RNA samples versus their globin reduced counterparts
2012-01-25 | E-GEOD-33701 | biostudies-arrayexpress
Project description:SuperSAGE is a method of digital gene expression profiling that allows isolation of 26bp tag fragments from expressed transcripts. Because its tag size is larger than that of conventional SAGE, SuperSAGE allowed a secure tag-to-gene annotation using BLAST search against grape genome databases.Transcript profiles in nine samples of grape berry tissues under different light conditions were obtained by SuperSAGE analysis and used for screening the genes which have co-ordinated transcript profiles with the change in the flavonoid composition in the samples analyzed. Candidate genes related to flavonoid biosynthesis and regulation were identified. Nine different grape samples, i.e., flowers, grape berries of Cabernet Sauvignon at 2, 7, 9 weeks after flowering (WAF), berry skins at 17 days after flowering (DAF) shaded after flowering, and berry skins at 17DAF shaded from flowering to 14DAF and then light exposed, were analyzed.
2014-06-03 | E-GEOD-55473 | biostudies-arrayexpress
Project description:Aging of biological systems is controlled by various processes which have a potential impact on gene expression. Here we report a genome-wide transcriptome analysis of the fungal aging model Podospora anserina. Total RNA of three individuals of defined age were pooled and analyzed by SuperSAGE (serial analysis of gene expression). A bioinformatics analysis identified different molecular pathways to be affected during aging. While the abundance of transcripts linked to ribosomes and to the proteasome quality control system were found to decrease during aging, those associated with autophagy increase, suggesting that autophagy may act as a compensatory quality control pathway. Transcript profiles associated with the energy metabolism including mitochondrial functions were identified to fluctuate during aging. Comparison of wild-type transcripts, which are continuously down-regulated during aging, with those down-regulated in the long-lived, copper-uptake mutant grisea, validated the relevance of age-related changes in cellular copper metabolism. Overall, we (i) present a unique age-related data set of a longitudinal study of the experimental aging model P. anserina which represents a reference resource for future investigations in a variety of organisms, (ii) suggest autophagy to be a key quality control pathway that becomes active once other pathways fail, and (iii) present testable predictions for subsequent experimental investigations.
2013-12-20 | E-MTAB-2016 | biostudies-arrayexpress
Project description:Chinook salmon (Oncorhynchus tshawytscha) display the greatest variability of return times to freshwater of all Pacific salmon. Populations return to freshwater for spawning at many different times of year, resulting in segregated populations that may use differing molecular pathways for these large behavioral and physiological differences. Using a population of Chinook from California’s Central Valley, we sought to generate novel expressed sequences using Long Serial Analysis of Gene Expression (LongSAGE). We constructed three LongSAGE libraries from brains of samples caught in the spring and fall in freshwater and from the ocean. Using cDNA libraries from Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss), we were able to assign 59% of putatively differentially expressed tags to genes. Additionally, we tested the expression levels of seven genes, indicated by LongSAGE to be putatively differentially expressed between the fall and spring, and found none significantly differentially expressed. This study is the first to apply LongSAGE to salmon and provides a framework for conducting future research on gene expression differences between Chinook salmon of different populations, as well as underlying mechanisms of differing physiology and behavior. Keywords: seasonal difference Single individuals were used to construct each LongSAGE library. The fall, spring and ocean samples were then compared between each other and examined for differences in the number of tags observed.
2007-10-09 | E-GEOD-6009 | biostudies-arrayexpress