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accession-icon GSE44740
Microarray analysis of cultured gastric myofibroblasts
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Neuronal, endocrine and exocrine cells exhibit regulated exocytosis but there is also a body of evidence for regulated exocytosis from other cell types. Myofibroblasts are a stromal cell type that secretes extracellular matrix proteins, growth factors and cytokines; they are important in wound healing and increasingly are recognised to play a role in modifying the cellular microenvironment in cancer. We have established calcium dependent regulated secretion in a subset of myofibroblasts from gastric cancers, adjacent tissue and from normal tissue. We have used microarrays to look for the expression of genes associated with the regulated secretory phenotype.

Publication Title

The neuroendocrine phenotype of gastric myofibroblasts and its loss with cancer progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE13015
Genomic Transcriptional Profiling Identifies a Blood Biomarker Signature for the Diagnosis of Septicemic Melioidosis
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconSentrix Human-6 v2 Expression BeadChip

Description

Melioidosis is a severe infectious disease caused by Burkholderia pseudomallei, a gram-negative bacillus classified by the NIAID as a category B priority agent. Septicemia is the most common presentation of the disease with 40% mortality rate even with appropriate treatments. Faster diagnostic procedures are required to improve therapeutic response and survival rates. We have used microarray technology to generate genome-wide transcriptional profiles (>48,000 transcripts) of whole blood obtained from patients with septicemic melioidosis (n=32), patients with sepsis caused by other pathogens (n=31), and uninfected controls (n=29). Unsupervised analyses demonstrated the existence of a whole blood transcriptional signature distinguishing patients with sepsis from control subjects. The majority of changes observed were common to both septicemic melioidosis and sepsis caused by other infections, including genes related to inflammation, interferon-related genes, neutrophils, cytotoxic cells, and T cells. Finally, class prediction analysis identified a 37 transcript candidate diagnostic signature that distinguished melioidosis from sepsis caused by other organisms with 100% and 78% accuracy in training and independent test sets, respectively. This finding was confirmed by the independent validation set, which showed 80% prediction accuracy. This signature was highly enriched in genes coding for products involved in the MHC Class II antigen processing and presentation pathway. Transcriptional patterns of whole blood RNA distinguish patients with septicemic melioidosis from patients with sepsis caused by other pathogens. Once confirmed in a large scale trial this diagnostic signature might constitute the basis of a differential diagnostic assay.

Publication Title

Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.

Sample Metadata Fields

Sex, Age, Treatment, Race

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accession-icon GSE37536
Genome wide identification of ORE1 early target genes
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Global transcriptome patterns were performed using ORE1-IOE-2h (2h after Estradiol and Mock treatment) as well as transiently (6h) overexpressed Arabidopsis mesophyll cell protoplasts

Publication Title

NAC transcription factor ORE1 and senescence-induced BIFUNCTIONAL NUCLEASE1 (BFN1) constitute a regulatory cascade in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE61106
Genome-wide analysis of blood, spleen and lung expression of C57BL/6 mice subjected to Burkholderia pseudomallei infection
  • organism-icon Mus musculus
  • sample-icon 170 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Melioidosis, a severe human disease caused by the bacterium Burkholderia pseudomallei, has a wide spectrum of clinical manifestations ranging from acute septicaemia to chronic localized illness or latent infection. Mice were intranasally infected with either high or low doses of B. pseudomallei to generate either acute, chronic or latent infection and host blood and tissue transcriptional profiles were generated. Acute infection was accompanied by a homogeneous signature associated with induction of multiple innate immune response pathways, such as IL10, TREM1 and IFN-signaling, largely found in both blood and tissue. The transcriptional profile in blood reflected the heterogeneity of chronic infection and quantitatively reflected the severity of disease. Comparison of these mouse blood datasets by pathway and modular analysis with the blood transcriptional signature of patients with melioidosis showed that many genes were similarly perturbed, including IL10, TREM1 and IFNsignaling, revealing the common immune response occurring in both mice and humans.

Publication Title

The Blood Transcriptome of Experimental Melioidosis Reflects Disease Severity and Shows Considerable Similarity with the Human Disease.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon SRP151504
Kidney-resident macrophages promote a proangiogenic environment in the normal and chronically ischemic mouse kidney
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Renal artery stenosis (RAS) caused by narrowing of arteries is characterized by microvascular damage. Macrophages are implicated in repair and injury, but the specific populations responsible for these divergent roles have not been identified. Here, we characterized murine kidney F4/80+CD64+ macrophages in three transcriptionally unique populations. Using fate-mapping and parabiosis studies, we demonstrate that CD11b/cint are long-lived kidney-resident (KRM) while CD11chiMf, CD11cloMf are monocyte-derived macrophages. In a murine model of RAS, KRM self-renewed, while CD11chiMf and CD11cloMf increased significantly, which was associated with loss of peritubular capillaries. Replacing the native KRM with monocyte-derived KRM using bone marrow transplantation followed by RAS, amplified loss of peritubular capillaries. To further elucidate the nature of interactions between KRM and peritubular endothelial cells, we performed RNA-sequencing on flow-sorted macrophages from Sham and RAS kidneys. KRM showed a prominent activation pattern in RAS with significant enrichment in reparative pathways, like angiogenesis and wound healing. In culture, KRM increased proliferation of renal peritubular endothelial cells implying direct pro-angiogenic properties. Human homologs of KRM identified as CD11bintCD11cintCD68+ increased in post-stenotic kidney biopsies from RAS patients compared to healthy human kidneys, and inversely correlated to kidney function. Thus, KRM may play protective roles in stenotic kidney injury through expansion and upregulation of pro-angiogenic pathways Overall design: CD11chiMf Sham, n=3; CD11chiMf RAS, n=4; CD11cloMf Sham, n=3; CD11cloMf RAS, n=4; KRM Sham, n=4; KRM RAS, n=3;

Publication Title

Kidney-resident macrophages promote a proangiogenic environment in the normal and chronically ischemic mouse kidney.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE13987
Profile of rolipram treated B-CLL, normal B, and normal T cells
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PDE4 inhibitors, which activate cAMP signaling by reducing cAMP catabolism, are known to induce apoptosis in B lineage chronic lymphocytic leukemia (CLL) cells but not normal human T cells. The explanation for such differential sensitivity remains unknown. Here, we report studies contrasting the response to PDE4 inhibitor treatment in CLL cells and normal human T and B cells.

Publication Title

Chronic lymphocytic leukemia and B and T cells differ in their response to cyclic nucleotide phosphodiesterase inhibitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE107715
Expression data from mouse adrenals during recovery after dexamethasone treatment
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Long-term pharmacological glucocorticoid therapy causes atrophy and hypofunction of the adrenal cortex. Following glucocorticoids withdrawal, a functional and anatomic regeneration take place, whose cellular and molecular mechanisms are poorly understood

Publication Title

Sonic Hedgehog and WNT Signaling Promote Adrenal Gland Regeneration in Male Mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP058190
Next Generation Sequencing (NGS) comparison of two MVT1 cells subpopulations, CD24- cells and CD24+ cells
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The goal of this study is to compare the transcriptome of the 2 MVT1 subpopulations in order to identify new genes and pathways that stands beyond the CD24+ aggressive phenotype Overall design: mRNA profiles of CD24- and CD24+ cells were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500

Publication Title

Deep sequencing of mRNA in CD24(-) and CD24(+) mammary carcinoma Mvt1 cell line.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE78716
Influence of ATM-mediated DNA damage response on genomic variation in human induced pluripotent stem cells (Affymetrix expression)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome instability is a potential limitation to the research and therapeutic application of induced pluripotent stem cells (iPSCs). Observed genomic variations reflect the combined activities of DNA damage, cellular DNA damage response (DDR), and selection pressure in culture. To understand the contribution of DDR on the distribution of copy number variations (CNVs) in iPSCs, we mapped CNVs of iPSCs with mutations in the central DDR gene ATM onto genome organization landscapes defined by genome-wide replication timing profiles. We show that following reprogramming the early and late replicating genome is differentially affected by CNVs in ATM deficient iPSCs relative to wild type iPSCs. Specifically, the early replicating regions had increased CNV losses during retroviral reprogramming. This differential CNV distribution was not present after later passage or after episomal reprogramming. Comparison of different reprogramming methods in the setting of defective DNA damage response reveals unique vulnerability of early replicating open chromatin to retroviral vectors.

Publication Title

Influence of ATM-Mediated DNA Damage Response on Genomic Variation in Human Induced Pluripotent Stem Cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP125008
Lung resident mesenchymal stromal cells reveal transcriptional dynamics of lung
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report the correlation between lung-derived neonatal MSCs and 2 clinical variables among preterm newborns: corrected gestational age (CGA) at collection and the severity of bronchopulmonary dysplasia (BPD) Overall design: To test the correlation between the transcriptional profiles of tracheal aspirate-derived mesenchymal stromal cells with late stage lung development and with bronchopulmonary dysplasia.

Publication Title

Lung-Resident Mesenchymal Stromal Cells Reveal Transcriptional Dynamics of Lung Development in Preterm Infants.

Sample Metadata Fields

Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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