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GSE3311
Rattus norvegicus
6 Downloadable Samples
Affymetrix Rat Expression 230A Array (rae230a)
Description
Male Wistar rats weighing 90-120 g were acclimatized for one week and fed standard laboratory chow, at which time the animals were divided into two groups. Animals were then pair-fed for 8 weeks a regular laboratory chow and water ad libitum or Lieber-DeCarli diet (36% calories from ethanol). Control animals received the iso-caloric amount of dextrose to replace ethanol. After 8 weeks of differential feeding rats were euthanized, the pancreas immediately dissected and stored at -80?C until RNA isolation. RNA expression was analyzed using Affymetrix RAE230A gene chips
Publication Title
Long-term ethanol consumption alters pancreatic gene expression in rats: a possible connection to pancreatic injury.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Global mRNA expression was compared between stable and progressive IPF using bronchoalveolar lavage derived mesenchymal stromal cells
Publication Title
Developmental Reprogramming in Mesenchymal Stromal Cells of Human Subjects with Idiopathic Pulmonary Fibrosis.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.
Sample Metadata Fields
Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately.
Publication Title
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.
Sample Metadata Fields
Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 24 Downloadable Samples
Illumina HiSeq 2500
Description
We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately. Finally, we identify SMARCA4 as a marker and driver of sensitivity to topoisomerase II inhibitors, mitoxantrone and etoposide, in AML by showing that cell lines transduced to have high SMARCA4 expression reveal dramatically increased sensitivity to these agents. Overall design: We measured the gene expression of samples from 30 different AML patients with acute myeloid leukemia in order to identify reliable gene expression markers for drug sensitivity. We used this dataset for validation. This Series represents 12 patient samples.
Publication Title
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.
Sample Metadata Fields
Age, Specimen part, Disease, Disease stage, Subject
View Samples- Mus musculus
- 93 Downloadable Samples
- Illumina HiSeq 2000
Description
Background: Activation of microglia, the resident immune cells of the central nervous system, is a prominent pathological hallmark of Alzheimer's disease (AD). However, the gene expression changes underlying microglia activation in response to tau pathology remain elusive. Furthermore, it is not clear how murine gene expression changes relate to human gene expression networks. Methods: Microglia cells were isolated from rTg4510 tau transgenic mice and gene expression was profiled using RNA sequencing. Four age groups of mice (2-, 4-, 6-, and 8-months) were analyzed to capture longitudinal gene expression changes that correspond to varying levels of pathology, from minimal tau accumulation to massive neuronal loss. Statistical and system biology approaches were used to analyze the genes and pathways that underlie microglia activation. Differentially expressed genes were compared to human brain co-expression networks. Results:Statistical analysis of RNAseq data indicated that more than 4000 genes were differentially expressed in rTg4510 microglia compared to wild type microglia, with the majority of gene expression changes occurring between 2- and 4-months of age. These genes belong to four major clusters based on their temporal expression pattern. Genes involved in innate immunity were continuously up-regulated, whereas genes involved in the glutamatergic synapse were down-regulated. Up-regulated innate inflammatory pathways included NF-?B signaling, cytokine-cytokine receptor interaction, lysosome, oxidative phosphorylation, and phagosome. NF-?B and cytokine signaling were among the earliest pathways activated, likely driven by the RELA, STAT1 and STAT6 transcription factors. The expression of many AD associated genes such as APOE and TREM2 was also altered in rTg4510 microglia cells. Differentially expressed genes in rTg4510 microglia were enriched in human neurodegenerative disease associated pathways, including Alzheimer's, Parkinson's, and Huntington's diseases, and highly overlapped with the microglia and endothelial modules of human brain transcriptional co-expression networks. Conclusion: This study revealed temporal transcriptome alterations in microglia cells in response to pathological tau perturbation and provides insights into the molecular changes underlying microglia activation during tau mediated neurodegeneration. Overall design: Compare the microglial cell gene expression changes in rTg4510 tau transgenic mice and wild type at four age groups (2-, 4-, 6-, and 8-months) The rTg4510 mouse is a tauopathy model providing researchers with temporal control over mutant tau transgene expression. The mice express a repressible form of human tau containing the P301L mutation that has been linked with familial frontotemporal dementia. More information can be found here, https://www.alzforum.org/research-models/rtgtaup301l4510
Publication Title
Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model.
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Subject
View Samples- Mus musculus
- 12 Downloadable Samples
- Illumina HiSeq 2000
Description
YY1 is a ubiquitously expressed transcription factor that has been demonstrated to be essential for pro-B cell development. However, the role of YY1 in other B cell populations has never been investigated. It has been proposed that YY1 is a key regulator for the germinal center B cell program since the YY1 motif was present in much higher frequency in germinal center B cell signature genes than signature genes of other B cell subsets. Indeed, in accord with this prediction, we demonstrated that deletion of YY1 by Cg1-Cre completely prevented differentiation of naïve B cells into germinal center B cells and plasma cells after antigen stimulation. To determine if YY1 was also required for the differentiation of other B cell populations, we deleted YY1 with CD19-Cre and found that all peripheral B cell subsets including B1 B cells require YY1 for their differentiation. By deleting YY1 acutely with ER-Cre, we demonstrated that all B cell subsets require YY1 for their maintenance. ChIP-seq shows that YY1 predominantly binds to promoters, and pathway analysis of the genes which bind YY1 show that they are enriched in ribosomal functions, mitochondrial functions such as bioenergetics, and functions related to transcription, such as mRNA splicing, metabolism of RNA. By RNA-seq analysis of differentially expressed genes, we demonstrated that YY1 normally activates genes involved in mitochondrial bioenergetics, while it normally downregulates genes involved in transcription, mRNA splicing, NF-kB signaling pathways, AP-1 transcription factor network, chromatin remodeling, cytokine signaling pathways, cell adhesion, cell proliferation and c-Myc targets. Overall design: Total RNA was prepared from RAG-/-pro-B cells, RAG-/-YY1f/f x mb1-Cre pro-B cells, RAG-/- µ+ pre-B cells, C57BL/6 follicular B cells, and C57BL/6 GC B cells. RNA was extracted using TRIzol (Life Technologies) and genomic DNA was eliminated using the genomic DNA wipeout buffer in the QuantiTect Reverse transcription kit (Qiagen). A final purification of the RNA was performed with the RNeasy kit (Qiagen). Ribosomal RNA was eliminated using Ribo-Zero Magnetic Gold Kit (Illumina).RNA samples were submitted to the Next Generation Sequencing Core, where they were processed with the NEBNext Ultra Directional RNA Library Prep Kit for Illumina and sequenced on the Illumina HiSeq. Three independent RNA-seq samples were used for RAG-/- pro-B and RAG-/- YY1f/f x mb1-Cre pro-B cells, and two samples for the other cell types.
Publication Title
YY1 plays an essential role at all stages of B-cell differentiation.
Sample Metadata Fields
Sex, Specimen part, Cell line, Subject
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We tested the effects of the antioxidant NAC (N-Acetyl-Cysteine) on gene expression in Nkx3.1-deficient mouse prostate.
Publication Title
Antioxidant treatment promotes prostate epithelial proliferation in Nkx3.1 mutant mice.
Sample Metadata Fields
Age, Specimen part
View Samples- Arabidopsis thaliana
- 12 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Differential expression of genes between Arabidopsis WRKY18/40 knock out and wild type plants, after 8 h post inoculation of powdery mildew pathogen.
Publication Title
Transcriptional reprogramming regulated by WRKY18 and WRKY40 facilitates powdery mildew infection of Arabidopsis.
Sample Metadata Fields
Specimen part, Time
View Samples- Homo sapiens
- 419 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
With aging, significant changes in circadian rhythms occur, including a shift in phase toward a morning chronotype and a loss of rhythmicity in circulating hormones. However, the effects of aging on molecular rhythms in the human brain have remained elusive. Here we employed a previously-described time-of-death analyses to identify transcripts throughout the genome that have a significant circadian rhythm in expression in the human prefrontal cortex (Brodmanns areas (BA) 11 and 47). Expression levels were determined by microarray analysis in 146 individuals. Rhythmicity in expression was found in ~10% of detected transcripts (p<0.05). Using a meta-analysis across the two brain areas, we identified a core set of 235 genes (q<0.05) with significant circadian rhythms of expression. These 235 genes showed 92% concordance in the phase of expression between the two areas. In addition to the canonical core circadian genes, a number of other genes were found to exhibit rhythmic expression in the brain. Notably, we identified more than one thousand genes (1186 in BA11; 1591 in BA47) that exhibited age-dependent rhythmicity or alterations in rhythmicity patterns with aging. Interestingly, a set of transcripts gained rhythmicity in older individuals, which may represent a compensatory mechanism due to a loss of canonical clock function. Thus, we confirm that rhythmic gene expression can be reliably measured in human brain and identified for the first time significant changes in molecular rhythms with aging that may contribute to altered cognition, sleep and mood in later life.
Publication Title
Effects of aging on circadian patterns of gene expression in the human prefrontal cortex.
Sample Metadata Fields
Sex, Age, Specimen part, Race
View Samples