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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

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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

View Samples
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 GSE77385
Expression data of preneoplastic lung neuroendocrine cells and L-Myc signature
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To identify the global gene expression changes driven by L-Myc during SCLC development, mRNA expression profiles were compared using total RNAs from preneoplastic precursors of SCLC and the cells transformed by overexpression of L-Myc.

Publication Title

Genetic requirement for Mycl and efficacy of RNA Pol I inhibition in mouse models of small cell lung cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP066371
RNA splicing alteration on glioblastoma and normal neural stem cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We identified PHF5A as a functional synthetic-lethal hit in glioblastoma stem cells compared to normal neural stem cells. We wanted to perform analysis of RNA isoforms present in glioblastoma or normal neural stem cells with or without PHF5A depletion. We performed shRNA knockdown of PHF5A or used non-silencing shRNA as a control, selected infected cells with puromycin, and isolated RNA for sequencing. Overall design: We analyzed RNA from either normal neural stem cells or two different glioblastoma specimens aster either control knockdown, or two different shRNA sequences against the PHF5A gene transcript.

Publication Title

Genome-wide RNAi screens in human brain tumor isolates reveal a novel viability requirement for PHF5A.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE64965
Expression profile of osteosarcoma cells in which Sox2 maintains cancer stem cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Sox2 is required to maintain osteosarcoma cell tumor initiation.Knockdown of Sox2 leads tpo loss of tumorigenic properties. To examine gene expression changes upon Sox2 knockdown, we performed microarray analysis on mouse osteosarcoma cells expressing scrambled or Sox2shRNA. We found that genes upregulated upon Sox2 knockdown included osteoblast diffrentiation genes and genes down regulated included cell cycle and RNA processing genes as well as YAP-TEAD target genes.

Publication Title

Sox2 antagonizes the Hippo pathway to maintain stemness in cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon E-MTAB-125
Transcription profiling of mouse erythroleukemia cells following activation of Gata1-ER or PU.1-ER transgenes
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

17b-Estradiol added to MEL cells expressing Gata1-ER or PU.1-ER transgenes to stimulate either erythropoietic Gata-1 dependent or myeloid PU.1 dependent gene espression in different time points

Publication Title

PU.1 activation relieves GATA-1-mediated repression of Cebpa and Cbfb during leukemia differentiation.

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon SRP109298
MED12cKO heart ventricles from male mice [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The Mediator complex regulates gene transcription by linking basal transcriptional machinery with DNA-bound transcription factors. The activity of the Mediator complex is mainly controlled by a kinase submodule that is comprised of four proteins, including MED12. Although ubiquitously expressed, Mediator subunits can differentially regulate gene expression in a tissue-specific manner. Here, we report that MED12 is required for normal cardiac function such that mice with conditional cardiac-specific deletion of MED12 display progressive dilated cardiomyopathy. Loss of MED12 perturbs expression of calcium handling genes in the heart, consequently altering calcium cycling in cardiomyocytes and disrupting cardiac electrical activity. We identified transcription factors that regulate expression of calcium-handling genes that are downregulated in the heart in the absence of MED12, and found that MED12 localizes to transcription factor consensus sequences within calcium handling genes. We showed that MED12 interacts with one such transcription factor, MEF2, in cardiomyocytes, and that MED12 and MEF2 co-occupy promoters of calcium handling genes. Furthermore, we demonstrated that MED12 enhances MEF2 transcriptional activity and overexpression of both increases expression of calcium handling genes in cardiomyocytes. Our data support a role for MED12 as a coordinator of transcription through MEF2 and other transcription factors. We conclude that MED12 is a regulator of a network of calcium handling genes, consequently “mediating” contractility in the mammalian heart. Overall design: Ventricle mRNA profiles of 1-day old control (CTL, CreNEG) and cardiac-specific Med12 knockout mice (Med12cKO, CrePOS) were generated by deep sequencing, in triplicate, using Illumina.

Publication Title

MED12 regulates a transcriptional network of calcium-handling genes in the heart.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE78513
NPM-ALK expression levels identify two distinct signatures in Anaplastic Large Cell Lymphoma of Childhood
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Anaplastic large-cell lymphoma (ALCL) makes up approximately 15% of paediatric non-Hodgkin's lymphomas of childhood. The vast majority of them is associated with the t(2;5)(p23;q35) translocation that results in the expression of a hybrid oncogenic tyrosine kinase, NPM-ALK. In order to investigate ALCL biological characteristics we used transcriptional profiling approach. Genome-wide gene expression profiling, performed on 23 paediatric ALCL and 12 reactive lymph nodes specimens, showed two novel ALCL subgroups based on their NPM-ALK expression levels (named (ALK low and ALK high). Gene set enrichment analysis revealed, in ALK low samples, a positive enrichment of genes involved in the Interleukin signaling pathway, whereas we found increased expression of genes related to cell cycle progression and division in ALK high tumour samples, such as Aurora Kinase A (AURKA) and B (AURKB). Growth inhibition was observed upon administration of AURKA and AURKB inhibitors Alisertib and Barasertib and it was associated with perturbation of the cell cycle and induction of apoptosis. In conclusion we identified two novel ALCL subgroups, which display unique biological characteristics suggesting sensitivity to distinct targeted therapies.

Publication Title

NPM-ALK expression levels identify two distinct subtypes of paediatric anaplastic large cell lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10792
Genome wide genotyping and gene expression data of childhood B-cell precursor ALL without known genetic aberrations
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute lymphoblastic pediatric leukemia specimens without known genetic hallmarks are examined for hidden genomic aberrancies and related gene expression profiles

Publication Title

Integration of genomic and gene expression data of childhood ALL without known aberrations identifies subgroups with specific genetic hallmarks.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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