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accession-icon GSE40168
Expression profile of MCF7, CCD18 and Ramos human cell lines
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To uncover the chromosome 16 associated proteome and to take advantage of the generated knowledge to make progress in human biology in health and disease, a consortium of 15 groups was organized in four working groups: SRM and protein sequencing, antibody and peptide standard, clinical healthcare and biobanking and bioinformatics. According to a preliminary in silico study integrating knowledge from Ensembl, UniProt and GPM, Ramos B lymphocyte cells, MCF-7 epitelial cells and CCD18 fibroblast were selected as it is theoretically expected that any chromosome 16 protein coding gene is expressed in at least one of them. To define in detail the transcriptome of the above mentioned cell lines Affymetrix microarray based analyses were performed. Upon hybridization in Human ST 1.0 arrays, raw data were processed with RMA algorithm for background correction and normalization. Chromosome 16 gene expression pattern was then defined in each cell line and comparative analysis was done with R package statistics. Biological functions involving chromosome 16 genes were analysed with GO and functional networks were studied with Ingenuity Pathway Analysis. Expressed genes were compared with data from shotgun proteomic experiments to find the degree of correlation mRNA-protein. Expression of genes coding for proteins with weak or none MS evidence is shown. The integration of this information in decision-making process of the mass spectrometry group is discussed.

Publication Title

Spanish human proteome project: dissection of chromosome 16.

Sample Metadata Fields

Cell line

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accession-icon SRP039077
Gene expression analysis of airway epithelial cells exposed to flagellin via RNA-seq
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Airway epithelial cells (AEC) are critical components of the inflammatory and immune response during exposure to pathogens. AECs in monolayer culture and differentiated epithelial cells in air-liquid interface (ALI) represent two distinct and commonly used in vitro models, yet differences in their response to pathogens have not been investigated. In this study, we compared the transcriptional effects of flagellin on AECs in monolayer culture versus ALI culture using exon microarrays and RNAsequencing. We found that AECs cultured in monolayer and ALI have strikingly different transcriptional states at baseline. When challenged with flagellin, monolayer AEC cultures greatly increased transcription of numerous genes mapping to wounding response, immunity and inflammatory response. In contrast, AECs in ALI culture had an unexpectedly muted response to flagellin, both in number of genes expressed and relative enrichment of inflammatory and immune pathways. In conclusion, In vitro culturing methods have a dramatic effect on the transcriptional profile of AECs at baseline and after stimulation with flagellin. These differences suggest that epithelial responses to pathogen challenges are distinctly different in culture models of intact and injured epithelium. Overall design: A total of eight independent RNAseq experiments were conducted. Four RNAseq experiments (n = 2 unstimulated, n = 2 stimulated with flagellin) were performed using AECs grown in monolayer. Four RNAseq experiments (n =2 unstimulated, n = 2 stimulated with flagellin) were conducted using AECs grown in ALI cultures

Publication Title

Plasticity of airway epithelial cell transcriptome in response to flagellin.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38792
Visceral fat trancriptome in obstructive sleep apnea
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Rationale: Obstructive sleep apnea (OSA) has been associated with metabolic dysregulation and systemic inflammation. This may be due to pathophysiologic effects of OSA on visceral adipose tissue. We sought to assess the transcriptional consequences of OSA on adipocytes by utilizing pathway-focused analyses.

Publication Title

A pathway-based analysis on the effects of obstructive sleep apnea in modulating visceral fat transcriptome.

Sample Metadata Fields

Subject

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accession-icon GSE55460
Gene expression analysis of airway epithelial cells exposed to flagellin via RNA-seq and microarray
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Plasticity of airway epithelial cell transcriptome in response to flagellin.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE55459
Gene expression analysis of airway epithelial cells exposed to flagellin via microarray
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Airway epithelial cells (AEC) are critical components of the inflammatory and immune response during exposure to pathogens. AECs in monolayer culture and differentiated epithelial cells in air-liquid interface (ALI) represent two distinct and commonly used in vitro models, yet differences in their response to pathogens have not been investigated. In this study, we compared the transcriptional effects of flagellin on AECs in monolayer culture versus ALI culture using exon microarrays and RNAsequencing. We found that AECs cultured in monolayer and ALI have strikingly different transcriptional states at baseline. When challenged with flagellin, monolayer AEC cultures greatly increased transcription of numerous genes mapping to wounding response, immunity and inflammatory response. In contrast, AECs in ALI culture had an unexpectedly muted response to flagellin, both in number of genes expressed and relative enrichment of inflammatory and immune pathways. In conclusion, In vitro culturing methods have a dramatic effect on the transcriptional profile of AECs at baseline and after stimulation with flagellin. These differences suggest that epithelial responses to pathogen challenges are distinctly different in culture models of intact and injured epithelium.

Publication Title

Plasticity of airway epithelial cell transcriptome in response to flagellin.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE49800
Effects of CPAP Therapy on Leukocyte Gene Expression
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Rationale: Obstructive sleep apnea (OSA) has been associated with a number of chronic disorders that may improve with effective therapy. However, the molecular pathways affected by continuous positive airway pressure (CPAP) treatment are largely unknown. We sought to assess the system-wide consequences of CPAP therapy by transcriptionally profiling peripheral blood leukocytes (PBLs). Methods: Subjects diagnosed with severe OSA were treated with CPAP, and whole-genome expression measurement of PBLs was performed at baseline and following therapy. We used Gene Set Enrichment Analysis (GSEA) to identify gene sets that were differentially enriched. Network analysis was then applied to identify key drivers of pathways influenced by CPAP. Results: 18 subjects with severe OSA (apnea hypopnea index 30 events/hour) underwent CPAP therapy and microarray analysis of their PBLs. Treatment with CPAP improved AHI, daytime sleepiness and blood pressure but did not affect anthropometric measures. GSEA revealed a number of enriched gene sets, many of which were involved in neoplastic processes and displayed down-regulated expression patterns in response to CPAP. Network analysis identified several densely connected genes that are important modulators of cancer and tumor growth. Conclusions: Effective therapy of OSA with CPAP is associated with alterations in circulating leukocyte gene expression. Functional enrichment and network analyses highlighted transcriptional suppression in cancer-related pathways suggesting potentially novel mechanisms linking OSA with neoplastic signatures.

Publication Title

Treatment of obstructive sleep apnea alters cancer-associated transcriptional signatures in circulating leukocytes.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE29747
Sporisorium reilianum Infection Changes Inflorescence and Branching Architectures of Maize
  • organism-icon Zea mays
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

S. reilianum triggered loss of organ and meristem identity, and loss of meristem determinacy in male and female inflorescences and flowers. Microarray analysis showed that these developmental changes were accompanied with transcriptional regulation of genes proposed to regulate floral organ and meristem identity, and meristem determinacy in maize.

Publication Title

Sporisorium reilianum infection changes inflorescence and branching architectures of maize.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE7814
Transcriptional Profiling of Cerebral Malaria
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Cerebral malaria (CM) is a leading cause of death in the world. Better understanding of the pathogenesis of this disease is critical for the development of novel therapies. In this work, we investigated temporal gene expression profiles in the brains of CM-susceptible and CM-resistant mice during infection with P. Berghia ANKA (PbA).

Publication Title

Expression microarray analysis implicates apoptosis and interferon-responsive mechanisms in susceptibility to experimental cerebral malaria.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7957
Expression data from Pseudomonas aeruginosa exposed airway epithelium from C57Bl6 and MMP-7 and MMP-10 deficient mice.
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Airway epithelium is the initial point of host-pathogen interaction in Pseudomonas aeruginosa infection, an important pathogen in cystic fibrosis and nosocomial pneumonia. We used global gene expression analysis to determine airway epithelial transcriptional responses dependent on matrilysin (MMP-7) and stromelysin-2 (MMP-10), two matrix metalloproteinases induced by acute P. aeruginosa pulmonary infection. Extraction of Differential Gene Expression (EDGE) analysis of gene expression changes in P. aeruginosa infected organotypic tracheal epithelial cell cultures from wildtype, Mmp7-/-, and Mmp10-/- mice identified 2,089 matrilysin-dependent and 1,628 stromelysin-2-dependent genes that were differentially expressed. Key node network analysis showed that these MMPs controlled distinct gene expression programs involved in proliferation, cell death, immune responses, and signal transduction, among other host defense processes. Our results demonstrate discrete roles for these MMPs in regulating epithelial responses to pseudomonas infection and show that a global genomics strategy can be used to assess MMP function.

Publication Title

Individual matrix metalloproteinases control distinct transcriptional responses in airway epithelial cells infected with Pseudomonas aeruginosa.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE54085
Gene expression analysis of rat glomerular parietal epithelial cells
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Very little is known about the function of glomerular parietal epithelial cells (PECs). In this study, we performed genome-wide expression analysis on PEC-enriched capsulated vs. PEC-deprived decapsulated rat glomeruli to determine the transcriptional state of PECs under normal conditions. We identified hundreds of differentially expressed genes that mapped to distinct biologic modules including development, tight junction, ion transport, and metabolic processes. Since developmental programs were highly enriched in PECs, we characterized several of their candidate members at the protein level. Collectively, our findings confirm that PECs are multifaceted cells and help define their diverse functional repertoire.

Publication Title

Transcriptional landscape of glomerular parietal epithelial cells.

Sample Metadata Fields

Sex

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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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