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Populus x canadensis, Populus maximowiczii x populus nigra
24 Downloadable Samples
Affymetrix Poplar Genome Array (poplar)
Description
As exposure to episodic drought can impinge significantly on forest health and the establishment of productive tree plantations, there is great interest in understanding the mechanisms of drought response in trees. The ecologically dominant and economically important genus Populus, with its sequenced genome, provides an ideal opportunity to examine transcriptome level changes in trees in response to a drought stimulus. The transcriptome level drought response of two commercially important hybrid Populus clones (P. deltoides P. nigra, DN34, and P. nigra P. maximowiczii, NM6) was characterized over a diurnal period using a 4 2 2 completely randomized factorial ANOVA experimental design (four time points, two genotypes, and two treatment conditions) using Affymetrix Poplar GeneChip microarrays. Notably, the specific genes that exhibited changes in transcript abundance in response to drought differed between the genotypes and/or the time of day that they exhibited their greatest differences. This study emphasizes the fact that it is not possible to draw simple, generalized conclusions about the drought response of the genus Populus on the basis of one species, nor on the basis of results collected at a single time point. The data derived from our studies provide insights into the variety of genetic mechanisms underpinning the Populus drought response, and provide candidates for future experiments aimed at understanding this response across this economically and ecologically important genus.
Publication Title
Genotype and time of day shape the Populus drought response.
Sample Metadata Fields
Age, Specimen part, Treatment
View Samples- Mus musculus
- 42 Downloadable Samples
Illumina HiSeq 2000
Description
The goal of this study is to identify genomic signatures predicitve of cell-of-origin in acute myeloid leukemia 50K bulk leukemia (GFP+) cells from the spleen of recipient mice were sorted directly into 350µl of RLT buffer (Qiagen) and flash-frozen. Total RNA was isolated according to manufacturer’s protocols (Qiagen) including DNase treatment, and quality was assessed using an Agilent 2100 Bioanalyzer and RNA 6000 Nano kit. Amplified cDNA was sheared to approximately 300bp using a Covaris E220 Focused Ultrasonicator. RNA-seq library preparation used the TruSeq DNA sample prep kit v2 (Illumina). Libraries were sequenced on the Illumina HiSeq 2000 platform. Overall design: Transcriptome profiles of purified cell populations of hematopoetic stem and progenitor cells to identify transcriptomic singatures associated with leukemia cell-of-origin
Publication Title
Leukaemia cell of origin identified by chromatin landscape of bulk tumour cells.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 271 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Pouchitis is a common complication for ulcerative colitis (UC) patients with ileal pouch-anal anastomosis (IPAA) surgery. Similarly to IBD, both innate host factors such as genetics, and environmental stimuli including the tissue-associated microbiome have been implicated in the pathogenesis. In this study, we make use of the IPAA model of inflammatory bowel disease (IBD) to carry out a study associating mucosal host gene expression with the microbiome and corresponding clinical outcomes.
Publication Title
Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease.
Sample Metadata Fields
Sex, Disease, Subject
View Samples- Homo sapiens
- 54 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To study feasibility of gene expression profiling from FFPE tissues using NuGen amplified mRNA hybridized on Affymetrix GeneChip Human Gene 1.0 ST arrays, we designed a pilot study utilizing samples from prostate cancer cohort. We selected samples from large-scale epidemiologic studies and clinical trials representative of a wide variety of fixation times, block ages and block storage conditions.
Publication Title
Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To study feasibility of gene expression profiling from FFPE tissues using NuGen amplified mRNA hybridized on Affymetrix GeneChip Human Gene 1.0 ST arrays, we designed a pilot study utilizing samples from prostate cancer cohort. We selected samples from large-scale epidemiologic studies and clinical trials representative of a wide variety of fixation times, block ages and block storage conditions.
Publication Title
Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.
Sample Metadata Fields
Disease
View Samples
GSE20240- Mus musculus
- 13 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Loss of p120ctn results in dysplasia and invasive cancer in the mouse esophagus and squamous forestomach.
Publication Title
Deletion of p120-catenin results in a tumor microenvironment with inflammation and cancer that establishes it as a tumor suppressor gene.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 116 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a), Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133B Array (hgu133b)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Stem cell gene expression programs influence clinical outcome in human leukemia.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 92 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a), Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation.
Publication Title
Stem cell gene expression programs influence clinical outcome in human leukemia.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U133B Array (hgu133b)
Description
Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation.
Publication Title
Stem cell gene expression programs influence clinical outcome in human leukemia.
Sample Metadata Fields
Specimen part
View Samples