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Mus musculus
9 Downloadable Samples
Illumina MouseWG-6 v2.0 expression beadchip
Description
Inhibition of the costimulatory CD40-CD40L receptor/ligand dyad drastically reduces atherosclerosis. However, its long-term blockage can result in immune suppression. We recently identified small molecule inhibitors that block the interaction between CD40 and TNF Receptor Associated Factor (TRAF) 6 (TRAF-STOPs), while leaving CD40-TRAF2/3/5 interactions intact, thereby preserving CD40-mediated immunity. Here we further characterized the working mechanisms of TRAF-STOPs 6877002 and 6860766 in atherogenesis.
Publication Title
Targeting CD40-Induced TRAF6 Signaling in Macrophages Reduces Atherosclerosis.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Rattus norvegicus
- 31 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Spinal cord injury leads to impaired motor and sensory functions. After spinal cord injury there is a an initial phase of hypo-reflexia followed by a developing hyper-reflexia, often termed spasticity. Previous studies have suggested a relationship between the reappearence of plateau potentials in motor neurons and the development of spasticity after spinalizaion. To understand the moleclar mechanism behind this pheneomona we examined the transcriptional response of the motor neurons after spinal cord injury as it progress over time.
Publication Title
Transcriptional regulation of gene expression clusters in motor neurons following spinal cord injury.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We isolated hematopoietic stem and progenitor cells from AML patients by FACS.
Publication Title
Cellular origin of prognostic chromosomal aberrations in AML patients.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 33 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We used microarray to create a normal cell landscape for the myeloid arm of the hematopoietic system.
Publication Title
Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 89 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
RATIONALE: Human rhinovirus infections cause colds and trigger exacerbations of lower airway diseases. OBJECTIVES: To define changes in gene expression profiles during in vivo rhinovirus infections. METHODS: Nasal epithelial scrapings were obtained before and during experimental rhinovirus infection, and gene expression was evaluated by microarray. Naturally acquired rhinovirus infections, cultured human epithelial cells, and short interfering RNA knockdown were used to further evaluate the role of viperin in rhinovirus infections. MEASUREMENTS AND MAIN RESULTS: Symptom scores and viral titers were measured in subjects inoculated with rhinovirus or sham control, and changes in gene expression were assessed 8 and 48 hours after inoculation. Real-time reverse transcription-polymerase chain reaction for viperin and rhinoviruses was used in naturally acquired infections, and viperin mRNA levels and viral titers were measured in cultured cells. Rhinovirus-induced changes in gene expression were not observed 8 hours after viral infection, but 11,887 gene transcripts were significantly altered in scrapings obtained 2 days postinoculation. Major groups of up-regulated genes included chemokines, signaling molecules, interferon-responsive genes, and antivirals. Viperin expression was further examined and also was increased in naturally acquired rhinovirus infections, as well as in cultured human epithelial cells infected with intact, but not replication-deficient, rhinovirus. Knockdown of viperin with short interfering RNA increased rhinovirus replication in infected epithelial cells. CONCLUSIONS: Rhinovirus infection significantly alters the expression of many genes associated with the immune response, including chemokines and antivirals. The data obtained provide insights into the host response to rhinovirus infection and identify potential novel targets for further evaluation.
Publication Title
Gene expression profiles during in vivo human rhinovirus infection: insights into the host response.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 50 Downloadable Samples
Illumina HiSeq 2000
Description
To uncover the gene expression alterations that occur during lung cancer progression, we interrogated the gene expression state of neoplastic cells at different stages of malignant progression. We initiated tumors in KrasLSL-G12D/+;p53flox/flox;R26LSL-tdTomato (KPT) mice with a pool of barcoded lentiviral-Cre vectors and purified Tomatopositive cancer cells away from the diverse and variable stromal cell populations. Five to nine months after tumor initiation, cancer cells were isolated from individual primary tumors and metastases using fluorescence-activated cell sorting. Sequencing of the barcode region of the integrated lentiviral vectors established primary tumor-metastasis and metastasis-metastasis relationships. Tumor barcoding allowed us to unequivocally distinguish non-metastatic primary tumors (TnonMet) from those primary tumors that had seeded metastases (TMet). We profiled 10 TnonMet samples as well as TMet and metastasis (Met) samples representing 12 metastatic events. To examine additional earlier stages of lung cancer development, we also analyzed premalignant cells from hyperplasias that develop in KPT mice shortly after tumor initiation (KPT-Early; KPT-E), as well as tumors from KrasG12D;R26LSL-tdTomato (KT) mice which rarely gain metastatic ability Overall design: This study includes 52 samples: 3 KP late samples, 3KPT early samples,10 non-metastatic primary tumors, 9 metastatic primary tumors, and 27 metastasis in different organs. total RNA was isolated and prepared for sequencing using the Ovation® RNA-Seq system and Illumina TruSeq DNA kit (v2) to generate 100bp paired end reads. Reads were aligned to mm10.
Publication Title
Molecular definition of a metastatic lung cancer state reveals a targetable CD109-Janus kinase-Stat axis.
Sample Metadata Fields
Subject
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GSE43487- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Inherited variation in miR-290 expression suppresses breast cancer progression by targeting the metastasis susceptibility gene Arid4b.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
mRNA expression data from mammary tumors extracted 30 days after orthotopic injection of miR-290-expressing and negative control 6dt1 cells into female FVB/N mice.
Publication Title
Inherited variation in miR-290 expression suppresses breast cancer progression by targeting the metastasis susceptibility gene Arid4b.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 48 Downloadable Samples
- IlluminaHiSeq1500
Description
During hematopoiesis, cells originating from the same stem cell reservoir differentiate into distinct cell types. The mechanisms enabling common progenitors to differentiate into distinct cell fates are not fully understood. Here, we identify chromatin-regulating and cell-fate-determining transcription factors (TF) governing dendritic cell (DC) development by annotating the enhancer and promoter landscapes of the DC lineage. Combining these analyses with detailed over-expression, knockdown and ChIP-Seq studies, we show that Irf8 functions as a plasmacytoid DC epigenetic and fate-determining TF, regulating massive, cell-specific chromatin changes in thousands of pDC enhancers. Importantly, Irf8 forms a negative feedback loop with Cebpb, a monocyte-derived DC epigenetic fate-determining TF. We show that using this circuit logic, differential activity of TF can stably define epigenetic and transcriptional states, regardless of the microenvironment. More broadly, our study proposes a general paradigm that allows closely related cells with a similar set of signal-dependent factors to generate differential and persistent enhancer landscapes. Overall design: Here analyzed 2 experiments, each one contains samples of moDC and pDC ex vivo cultured cells. The first experiment contains 32 samples of moDC and pDC following stimulation with various TLR stimulators. The second experiment contains 8 samples of moDC and pDC following perturbations; Cebpb and Irf8 knock down or over expression.
Publication Title
A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin States.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 3 Downloadable Samples
- IlluminaGenomeAnalyzerIIx
Description
Monocytes are a heterogeneous cell population with subset-specific functions and phenotypes. The differential expression of CD14 and CD16 distinguishes classical CD14++CD16-, intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes. However, CD14++CD16+ monocytes remain the most poorly characterized subset so far. Therefore we analyzed the transcriptomes of the three monocyte subsets using SuperSAGE in combination with high-throughput sequencing. Analysis of 5,487,603 tags revealed unique identifiers of CD14++CD16+ monocytes, delineating these cells from the two other monocyte subsets. CD14++CD16+ monocytes were linked to antigen processing and presentation (e.g. CD74, HLA-DR, IFI30, CTSB), to inflammation and monocyte activation (e.g. TGFB1, AIF1, PTPN6), and to angiogenesis (e.g. TIE2, CD105). Therefore we provide genetic evidence for a distinct role of CD14++CD16+ monocytes in human immunity. Overall design: Human monocyte subsets (CD14++CD16-, CD14++CD16+, CD14+CD16++) were isolated from 12 healthy volunteers based on MACS technology. Total RNA from monocyte subsets was isolated and same aliquots from each donor and monocyte subset were matched for SuperSAGE. Three SuperSAGE libraries (CD14++CD16-, CD14++CD16+ and CD14+CD16++) were generated.
Publication Title
SuperSAGE evidence for CD14++CD16+ monocytes as a third monocyte subset.
Sample Metadata Fields
No sample metadata fields
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