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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 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 SRP114983
Granzyme A in Human Platelets Regulates Pro-Inflammatory Gene Synthesis by Monocytes in Aging
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Dysregulated inflammation is implicated in the pathobiology of aging, yet platelet-leukocyte interactions and downstream inflammatory gene synthesis in older adults remains poorly understood. Highly-purified human platelets and monocytes were isolated from healthy younger (age<45, n=37) and older (age60, n=30) adults and incubated together under autologous and non-autologous conditions. Inflammatory gene synthesis by monocytes, basally and in the presence of platelets, was examined. Next-generation RNA-sequencing allowed for unbiased profiling of the platelet transcriptome in aging. Basal IL-8 and MCP-1 synthesis by monocytes alone did not differ between older and younger adults. However, in the presence of autologous platelets, monocytes from older adults synthesized greater IL-8 (415 vs. 92 ng/mL, p<0.0001) and MCP-1 (867150 vs. 21636 ng/mL, p<0.0001) than younger adults. Non-autologous experiments demonstrated that platelets from older adults were sufficient for upregulating inflammatory gene synthesis by monocytes. Using RNA-seq followed by validation via RT-PCR and immunoblot, we discovered that granzyme A (GrmA), a serine protease not previously identified in human platelets, is increased in aging (~9-fold vs. younger adults, p<0.05) and governs increased IL-8 and MCP-1 synthesis through TLR4 and caspase-1. Inhibiting GrmA reduced the excessive IL-8 and MCP-1 synthesis in older adults to levels similar to younger adults. In summary, human aging is associated with changes in the platelet transcriptome and proteome. GrmA is present and bioactive in human platelets, is higher in older adults, and controls inflammatory gene synthesis by monocytes. Alterations in the platelet molecular signature and downstream signaling to monocytes may contribute to dysregulated inflammatory syndromes and adverse outcomes in older adults.

Publication Title

Granzyme A in Human Platelets Regulates the Synthesis of Proinflammatory Cytokines by Monocytes in Aging.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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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 GSE42561
Genome-wide differences in expression and alternative splicing in human dendritic cells upon E.coli challenge
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

The immune system relies on the plasticity of its components to produce appropriate responses to frequent environmental challenges. Dendritic cells (DCs) are critical initiators of innate immunity and orchestrate the later and more specific adaptive immunity. The generation of diversity in transcriptional programs is central for effective immune responses. Alternative splicing is widely considered a key generator of transcriptional and proteomic complexity, but its role has been rarely addressed systematically in immune cells. Here we used splicing-sensitive arrays to assess genome-wide gene- and exon-level expression profiles in human DCs in response to a bacterial challenge. We find widespread alternative splicing events and splicing factor transcriptional signatures induced by an E. coli challenge to human DCs. Alternative splicing acts in concert with transcriptional modulation, but these two mechanisms of gene regulation affect primarily distinct functional gene groups. Alternative splicing is likely to have an important role in DC immunobiology because it affects genes known to be involved in DC development, endocytosis, antigen presentation and cell cycle arrest

Publication Title

Genome-wide analysis of alternative splicing during dendritic cell response to a bacterial challenge.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP036145
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

We carried out a genome-wide investigation of the primary transcriptional targets of 1a,25(OH)2D3 in breast epithelial cancer cells using RNA-Seq technology. We identified early transcriptional targets of 1a,25(OH)2D3 involved in adhesion, growth regulation, angiogenesis, actin cytoskeleton regulation, hexose transport, inflammation and immunomodulation, apoptosis, endocytosis and signaling. Furthermore, we found several transcription factors to be regulated by 1a,25(OH)2D3 that subsequently amplify and diversify the transcriptional output driven by 1a,25(OH)2D3 leading finally to a growth arrest of the cells. Moreover, we could show that 1a,25(OH)2D3 elevates the trimethylation of histone H3 lysine 4 at several target gene promoters. Our present transcriptomic analysis of differential expression after 1a,25(OH)2D3 treatment provides a resource of primary 1a,25(OH)2D3 targets that might drive the antiproliferative action in breast cancer epithelial cells.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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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 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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