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GSE89749
Homo sapiens
120 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 72 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
Analysis of gene expression in cholangiocarcinoma patients.
Publication Title
Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 48 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Analysis of gene expression in cholangiocarcinoma patients.
Publication Title
Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Gene expression profiling of primary mouse articular chondrocyte infected with recombinant adenovirus expressing the zinc transporter ZIP8 (SLC39A8) protein.
Publication Title
Pleiotropic roles of metallothioneins as regulators of chondrocyte apoptosis and catabolic and anabolic pathways during osteoarthritis pathogenesis.
Sample Metadata Fields
Age, Specimen part, Treatment
View Samples- Drosophila melanogaster
- 24 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
The Drosophila phagocytic receptor Eater is expressed specifically in phagocytic hemocytes. It contributes to host immune defense and is required for survival of bacterial infections. Eater is involved in recognition and phagocytosis of bacteria.
Publication Title
Phagocytosis of bacterial pathogens.
Sample Metadata Fields
Cell line, Treatment, Time
View Samples- Mus musculus
- 2 Downloadable Samples
- Illumina MouseRef-8 v2.0 expression beadchip
Description
Analysis between two different types of T cells
Publication Title
Comparison of Invariant NKT Cells with Conventional T Cells by Using Gene Set Enrichment Analysis (GSEA).
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Comparative analysis of mouse cardiac left ventricle gene expression: voluntary wheel exercise and pregnancy-induced cardiac hypertrophy
Publication Title
Distinct cardiac transcriptional profiles defining pregnancy and exercise.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
Illumina HiSeq 2500
Description
The placenta is an understudied organ that has a critical role in mammalian development. In early placental development, the essential process of trophoblast invasion establishes adequate blood flow between mother and fetus. Despite its importance, little is known about the genomic regions responsible for regulating trophoblast invasion. In order to identify enhancers that are important for regulating the process, we carried out ChIP-Seq for an enhancer-associated mark at two time points during early placental development. Combining these data with RNA-Seq data and protein interaction data allowed us to construct a gene-enhancer network describing trophoblast invasion. Overall design: RNA-Seq at two time points in early placenta development (e7.5 an e9.5). There are 3 biological replicates per time point. Samples were pooled and sequenced on two lanes.
Publication Title
Changes in the enhancer landscape during early placental development uncover a trophoblast invasion gene-enhancer network.
Sample Metadata Fields
No sample metadata fields
View Samples- Drosophila melanogaster
- 6 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
Abstract: The Drosophila trachea is a branched tubular epithelia that transports oxygen and other gases. trachealess (trh), which encodes a bHLH-PAS transcription factor, is among the first genes to be expressed in the cells that will form the trachea. In the absence of trh, tracheal cells fail to invaginate to form tubes and remain on the embryo surface. Expression of many tracheal-specific genes depends on trh, but all of the known targets have relatively minor phenotypes compared to loss of trh, suggesting that there are additional targets. To identify uncharacterized transcriptional targets of Trh and to further understand the role of Trh in embryonic tracheal formation, we performed an in situ hybridization screen using a library of ~100 tracheal-expressed genes identified by the Berkeley Drosophila Genome Project (BDGP). Surprisingly, expression of every tracheal gene we tested was dependent on Trh, suggesting a major role for Trh in activation and maintenance of tracheal gene expression. A re-examination of the interdependence of the known early-expressed transcription factors, including trh, ventral veinless (vvl) and knirps/knirps-related (kni/knrl), suggests a new model for how gene expression is controlled in the trachea, with trh regulating expression of vvl and kni, but not vice versa. A pilot screen for the targets of Vvl and Kni/Knrl revealed that Vvl and Kni have only minor roles compared to Trh. Finally, genome-wide microarray experiments identified additional Trh targets and revealed that a of biological processes are affected by the loss of trh.
Publication Title
Trachealess (Trh) regulates all tracheal genes during Drosophila embryogenesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 87 Downloadable Samples
- Illumina HiSeq 2500
Description
mRNA expression profiles for 3 breast cancer cell lines seeded at different density and grown for different duration Overall design: This experiment is part of a study fo the effect of cell density on drug sensitivity [1]. Cells plated at different densities in 384-well plates were harvested at the indicated times and RNA was extracted using the RNeasy mini kit (Qiagen). To ensure sufficient RNA amounts wells with low cell numbers were pooled. Some conditions have been tested in biollogical replicates grown at the same time. Libraries were prepared by the Broad Technology Labs (BTL) following the protocol for SCRB-Seq described in [2]. Transcripts were quantified by the BTL computational pipeline using Cuffquant version 2.2.1 [3]. [1] Hafner, M., Niepel, M., Chung, M., Sorger, P.K., Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs. DOI:10.1038/NMETH.3853 [2] Soumillon, M., Cacchiarelli, D., Semrau, S., van Oudenaarden, A. & Mikkelsen, T.S. Characterization of directed differentiation by high-throughput single-cell RNA-Seq http://biorxiv.org/content/early/2014/03/05/003236 [3] Trapnell, C., Roberts, A., Goff, L., Pertea, G., Kim, D., Kelley, D.R., Pimentel, H., Salzberg, S.L., Rinn, J.L. & Pachter, L. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks, Nat. Protoc. 7, 562-578 (2012).
Publication Title
Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs.
Sample Metadata Fields
Subject
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