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accession-icon GSE24988
Gene expression profiles based on Pulmonary Artery Pressures in Pulmonary Fibrosis
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Pulmonary Hypertension (PH) is a frequent complication of Pulmonary Fibrosis (PF). PH can be seen in PF in the abscence of hypoxemia, irrespective of the degree of fibrosis. At the same time, a consistent number of patients with advanced PF never develop PH. The pathogenesis of PH secondary to PF remains unclear. PF patients are often referred to lung transplantation, but they present a higher incidence of pimary graft dysfunction than other diseases. The cause of this is unknown, and the relationship with PH remains unclear.

Publication Title

Gene expression profiling in the lungs of patients with pulmonary hypertension associated with pulmonary fibrosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP166108
The Power of Resolution: Contextualized Understanding of Chemical-biological Interactions
  • organism-icon Homo sapiens
  • sample-icon 535 Downloadable Samples
  • Technology Badge Icon

Description

Prediction of human response to chemical exposures is a major challenge in both pharmaceutical and toxicological research. Transcriptomics has been a powerful tool to explore chemical-biological interactions. However, limited throughput, high-costs and complexity of transcriptomic interpretations have yielded numerous studies lacking sufficient experimental context for predictive application. We utilized a novel high-throughput transcriptomics platform to explore a broad range of exposures to 24 reference compounds in both differentiated and undifferentiated human HepaRG cultures. Our goals were to 1) explore transcriptomic characteristics distinguishing liver injury compounds, 2) assess impacts of differentiation state on baseline and compound-induced responses (e.g., metabolically-activated), and 3) identify and resolve reference biological-response pathways and their quantitative translation to human exposures. Study data revealed the predictive utility of transcriptomic concentration-response modeling to quantitatively identify human liver injury compounds by their respective benchmark concentrations (BMCs), and model hepatic responses to classical reference compounds yielding plausibly-relevant estimations of human potency.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP066428
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

The study was undertaken to compare the gene expression profile in mesenchymal stem/stromal cells from bone marrow of healthy donors and patients with newly diagnosed acute acute myeloid leukemia

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE96944
Expression analysis of tumor-associated macrophages from primary tumor and metastatic lung
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In tumor microenvironment, tumor-associated macrophages (TAMs) have been characterized as M1-like or M2-like phenotype. In this study, we investigated the characteristics and functional roles of different TAMs on cancer metastasis. We isolated TAMs from primary tumor and metastatic lung and performed microarrays to identify the gene expression in distinct TAMs populations.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE14795
Altered modulation of WNT--catenin and PI3K/Akt pathways in IgA nephropathy
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To uncover new molecular mechanisms involved in IgAN pathogenesis, we compared the genomic profiles of 12 IgAN patients with 8 healthy subjects,

Publication Title

Altered modulation of WNT-beta-catenin and PI3K/Akt pathways in IgA nephropathy.

Sample Metadata Fields

Sex

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accession-icon GSE58539
ALTERED MONOCYTE GENE EXPRESSION AND EXPANSION OF CD14+CD16+ SUBSET IN IgA NEPHROPATHY PATIENTS
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The basic defect of IgA nephropathy (IgAN) lies within peripheral blood mononuclear cells rather than local kidney abnormalities. Previously we showed an altered gene expression in monocytes compared to B and T cells isolated from IgAN patients (Kidney Int, 2010), thus our aim here was to study this subset more closely at genome-wide level.

Publication Title

Altered monocyte expression and expansion of non-classical monocyte subset in IgA nephropathy patients.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE27676
Activated Innate Immunity and Involvement of the CX3CR1-FKN Axis in Promoting Hematuria in IgA Nephropathy Patients
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The hallmark of IgA nephropathy (IgAN) is gross hematuria (GH) coinciding with or immediately following an upper respiratory or gastrointestinal tract infection and can represent the disease triggering event. Therefore, a whole genomic screening of IgAN patients during the GH was done to clarify the link between mucosal encountered antigens and the occurrence of glomerular hematuria. The modulated genes during GH show a clear involvement of the interferon signalling, antigen presenting pathway, and the immuno-proteasome. The gene characterizing cytotoxic effector lymphocytes (CX3CR1) implicated in vascular endothelial damage, was found up-regulated at both mRNA and protein level. In vitro antigenic stimulation of PBMCs on an independent set of IgAN patients and healthy blood donors (HBS) demonstrated that patients upregulate specifically CX3CR1 in an enhanced and dose dependant manner, while an expected down-regulation occurred in HBD. This enhanced activation occurred in both patients characterized by recurrent GH and by permanent microscopic hematuria (MH). We then analyzed glomerular fractalkine (FKN) expression, since this ligand is involved in the vascular gateway for CX3CR1+ cells towards the inflamed tissues. A significantly higher FKN expression on the capillary vessels and podocytes was found in recurrent GH patients compared to permanent MH, suggesting a predisposition for cytotoxic cell extravasation in recurrent GH patients.

Publication Title

Activated innate immunity and the involvement of CX3CR1-fractalkine in promoting hematuria in patients with IgA nephropathy.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE15619
Epigenetic signature of breast cancer and its association with gene expression and copy number
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Recent advances in multiple whole genome technologies provide unprecedented opportunities to profile epigenomic signatures in cancer cells. Previously we used a human gene promoter tiling microarray platform to identify genome-wide DNA methylation changes in a cell line model of breast cancer metastasis. Interestingly, the clustered nature of epigenetic targets that we identified, along with our concurrent karyotype analyses, have now led us to hypothesize that complex genomic alterations in cancer cells (deletions, translocations and ploidy) may be superimposed over promoter-specific methylation events that are responsible for gene-specific expression changes.

Publication Title

Multi-platform whole-genome microarray analyses refine the epigenetic signature of breast cancer metastasis with gene expression and copy number.

Sample Metadata Fields

Cell line

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accession-icon GSE18370
21T series cell lines show distinct stage-specific gene expression alterations
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pathologic and epidemiologic evidence has led to a histologic model of breast cancer progression that involves advancement through specific morphologic stages including atypical ductal hyperplasia (ADH), ductal carcinoma in situ (DCIS) and invasive mammary carcinoma (IMC), although not necessarily always in a linear fashion. Numerous observational studies have examined genetic, epigenetic and gene expression differences in breast tissues representing these different stages of progression, but model systems which would allow for experimental testing of specific factors influencing transition through these stages are scarce. The 21T series cell lines, all originally derived from the same patient with metastatic breast cancer, have been proposed to represent a mammary tumor progression series. We report here that three of the 21T cell lines indeed mimic specific stages of human breast cancer progression (21PT-derived cells, ADH; 21NT-derived cells, DCIS; 21MT-1 cells, IMC) when grown in the mammary fat pad of nude mice, albeit after up to a year post-injection. In order to develop a more rapid, readily manipulatable in vitro assay for examining the biologic differences between these cell lines, we have made use of a 3D Matrigel system. When grown in 3D Matrigel, we have found characteristic morphologies of the three cell lines in which quantifiable aspects of the stage-specific in vivo behaviors (i.e. differences in acinar structure formation, cell polarization, cell cohesiveness, cell proliferation, cell invasion) are re-capitulated in a reproducible fashion. Gene expression profiling has revealed a characteristic pattern for each of the three cell lines. Interestingly, WNT pathway alterations are particularly predominant in the early transition from 21PTci (ADH) to 21NTci (DCIS), whereas alterations in expression of genes associated with control of cell motility and invasiveness phenomena are more prominent in the later transition of 21NTci (DCIS) to 21MT-1 (IMC). This system thus reveals potential therapeutic targets and will provide a means of testing the influences of identified genes on transitions between these stages of pre-malignant to malignant growth.

Publication Title

Human 21T breast epithelial cell lines mimic breast cancer progression in vivo and in vitro and show stage-specific gene expression patterns.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE11683
Expression analysis in a breast cancer metastasis model
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study compares a cell line (MDA-MB-468GFP-LN) that aggressively metastasizes to lymph nodes to its parental line MDA-MB-468GFP. Derivation of the lines is described in Vantyghem et al, Clinical & Experimental Metastasis (2005) 22: 351361. The goal here was to compare the gene expression profile of MDA-MB-468GFP-LN to MDA-MB-468GFP, Compare differential expression to databases of genes known to be involved in either cancer stem cell identification or lymph node specific metastasis in large scale clinical studies, and to confirm genes by RT-PCR

Publication Title

Lymphatic metastasis of breast cancer cells is associated with differential gene expression profiles that predict cancer stem cell-like properties and the ability to survive, establish and grow in a foreign environment.

Sample Metadata Fields

No sample metadata fields

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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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