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accession-icon GSE24193
Dioxin exposure of human CD34+ hemopoietic cells induces gene expression modulation that recapitulates its in vivo clinical and biological effects
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) has a large number of biological effects, including skin, cardiovascular, neurologic disease, diabetes, infertility and cancer. We analysed the in vitro TCDD effects on human CD34+ cells and tested the gene expression modulation by means of microarray analyses before and after TCDD exposure. We identified 253 differentially modulated probe sets, identifying 217 well-characterized genes. A large part of these were associated with cell adhesion and/or angiogenesis and with transcription regulation. Synaptic transmission and visual perception functions, with the particular involvement of the GABAergic pathway, were also significantly modulated. Numerous transcripts involved in cell cycle or cell proliferation, immune response, signal transduction, ion channel activity or calcium ion binding, tissue development and differentiation, female or male fertility or in several metabolic pathways were also affected after dioxin exposure. The transcriptional profile induced by TCDD treatment on human CD34+ cells strikingly reproduces the clinical and biological effects observed in individuals exposed to dioxin and in biological experimental systems.

Publication Title

Dioxin exposure of human CD34+ hemopoietic cells induces gene expression modulation that recapitulates its in vivo clinical and biological effects.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP058717
The lncRNA LUST promotes CCICs self-renewal stimulating the wnt/b-catenin signaling activation [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

Comprehensive RNA-seq experiments in CD24bright/CD44bright (CCICs), CD24dim/CD44dim (more differentiated counterpart) cells and colonospheres delineate the role of the lncRNA LUST in promoting CCICs self-renewal. Overall design: RNA-Seq study from HT-29 CD44bright/CD24bright and CD24dim/CD44dim sorted cells subpopulation

Publication Title

RBM5-AS1 Is Critical for Self-Renewal of Colon Cancer Stem-like Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE78015
Activation of myenteric glia during acute inflammation in vitro
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Enteric glial cells (EGCs) are the main constituent of the enteric nervous system and share similarities with astrocytes from the central nervous system including their reactivity to an inflammator microenvironment. In this study we isolated GFAP-positive myenteric glia from FVB/hGFAP-eGFP transgenic postnatal day 7 mice. Following cell sorting for the eGFP reporter, GFAP-positive EGCs were cultured for 3 weeks to generate neurosphere-like bodies. This cell culture was stimulated with LPS for 48 h and cells were employed for gene expression profiling. LPS-stimulated cell cultures were compared to untreated control cell cultures. Enriched GFAP+ EGC cultures secreted increased levels of prominent inflammatory cytokines upon LPS stimulation. Further, in vitro cultures were compared to GFAP-eGFP-positive cells directly analyzed after cell sorting of small intestinal LMMP digests (in vivo) to assess alterations in transcriptomic profiles due to the in vitro culture.

Publication Title

Activation of Myenteric Glia during Acute Inflammation In Vitro and In Vivo.

Sample Metadata Fields

Specimen part

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accession-icon GSE20189
A gene expression signature from peripheral whole blood for stage I lung adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 160 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Affordable early screening in subjects with high risk of lung cancer has great potential to improve survival from this deadly disease. We measured gene expression from lung tissue and peripheral whole blood (PWB) from adenocarcinoma cases and controls to identify dysregulated lung cancer genes that could be tested in blood to improve identification of at-risk patients in the future. Genome-wide mRNA expression analysis was conducted in 153 subjects (73 adenocarcinoma cases, 80 controls) from the Environment And Genetics in Lung cancer Etiology (EAGLE) study using PWB and paired snap-frozen tumor and non-involved lung tissue samples. Analyses were conducted using unpaired t-tests, linear mixed effects and ANOVA models. The area under the receiver operating characteristic curve (AUC) was computed to assess the predictive accuracy of the identified biomarkers. We identified 50 dysregulated genes in stage I adenocarcinoma versus control PWB samples (False Discovery Rate 0.1, fold change 1.5 or 0.66). Among them, eight (TGFBR3, RUNX3, TRGC2, TRGV9, TARP, ACP1, VCAN, and TSTA3) differentiated paired tumor versus non-involved lung tissue samples in stage I cases, suggesting a similar pattern of lung cancer-related changes in PWB and lung tissue. These results were confirmed in two independent gene expression analyses in a blood-based case-control study (n=212) and a tumor-non tumor paired tissue study (n=54). The eight genes discriminated patients with lung cancer from healthy controls with high accuracy (AUC=0.81, 95% CI=0.74-0.87). Our finding suggests the use of gene expression from PWB for the identification of early detection markers of lung cancer in the future.

Publication Title

A gene expression signature from peripheral whole blood for stage I lung adenocarcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP059363
Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Smoking-associated DNA hypomethylation has been observed in blood cells and linked to lung cancer risk. However, its cause and mechanistic relationship to lung cancer remain unclear. We studied the association between tobacco smoking and epigenome-wide methylation in non-tumor lung (NTL) tissue from 237 lung cancer cases in the Environment And Genetics in Lung cancer Etiology study, using the Infinium HumanMethylation450 BeadChip. We identified seven smoking-associated hypomethylated CpGs (P?<?1.0?×?10-7), which were replicated in NTL data from The Cancer Genome Atlas. Five of these loci were previously reported as hypomethylated in smokers'' blood, suggesting that blood-based biomarkers can reflect changes in the target tissue for these loci. Four CpGs border sequences carrying aryl hydrocarbon receptor binding sites and enhancer-specific histone modifications in primary alveolar epithelium and A549 lung adenocarcinoma cells. A549 cell exposure to cigarette smoke condensate increased these enhancer marks significantly and stimulated expression of predicted target xenobiotic response-related genes AHRR (P?=?1.13?×?10-62) and CYP1B1 (P?<?2.49?×?10-61). Expression of both genes was linked to smoking-related transversion mutations in lung tumors. Thus, smoking-associated hypomethylation may be a consequence of enhancer activation, revealing environmentally-induced regulatory elements implicated in lung carcinogenesis. Overall design: RNAseq of DMSO or cigarette smoke condensate (CSC)-treated A549 human lung adenocarcinoma cells. Cells were treated for either 48 hours or 2 weeks, as indicated.

Publication Title

Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10072
Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival
  • organism-icon Homo sapiens
  • sample-icon 107 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Tobacco smoking is responsible for over 90% of lung cancer cases, and yet the precise molecular alterations induced by smoking in lung that develop into cancer and impact survival have remained obscure. We performed gene expression analysis using HG-U133A Affymetrix chips on 135 fresh frozen tissue samples of adenocarcinoma and paired noninvolved lung tissue from current, former and never smokers, with biochemically validated smoking information. ANOVA analysis adjusted for potential confounders, multiple testing procedure, Gene Set Enrichment Analysis, and GO-functional classification were conducted for gene selection. Results were confirmed in independent adenocarcinoma and non-tumor tissues from two studies. We identified a gene expression signature characteristic of smoking that includes cell cycle genes, particularly those involved in the mitotic spindle formation (e.g., NEK2, TTK, PRC1). Expression of these genes strongly differentiated both smokers from non-smokers in lung tumors and early stage tumor tissue from non-tumor tissue (p<0.001 and fold-change>1.5, for each comparison), consistent with an important role for this pathway in lung carcinogenesis induced by smoking. These changes persisted many years after smoking cessation. NEK2 (p<0.001) and TTK (p=0.002) expression in the noninvolved lung tissue was also associated with a 3-fold increased risk of mortality from lung adenocarcinoma in smokers. Our work provides insight into the smoking-related mechanisms of lung neoplasia, and shows that the very mitotic genes known to be involved in cancer development are induced by smoking and affect survival. These genes are candidate targets for chemoprevention and treatment of lung cancer in smokers.

Publication Title

Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival.

Sample Metadata Fields

Sex, Age

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accession-icon SRP032999
Next generation sequencing of the transcriptome in MCF-7 cells with/without SRA knockdown
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We employed next generation sequencing to examine whether knocking down the steroid receptor RNA activator (SRA) gene significantly affect the expression levels of certain genes in MCF-7 cells. MCF-7 cells were transfected with either a pool of four non-target control siRNAs or a pool of four SRA siRNAs for 32 hrs. 157 million reads were generated from triplicate samples of the control group; 151 million reads were generated from triplicate samples of the SRA knockdown group. Six genes were identified as significantly changed in the expression levels with the cutoff of q value = 0.05, fold change = 0.5 or = 2, and reads per kilobase per million mapped reads (RPKM) = 1. However, except for SRA itself, the other five genes were shown by real-time PCR to be only affected by one siRNA in the SRA siRNA pool. Further analysis of this dataset with different cuttoff setting may reveal true SRA-regulated genes in MCF-7. Overall design: MCF-7 cells were cultured in high glucose DMEM with 10% fetal bovine serum, 2 mM Glutamax-1, 100 units/ml penicillin and 100 µg/ml streptomycin. ON-TARGETplus SMARTpool for human SRA (Thermo Scientific, L-027192-00-0005) was used to knockdown SRA (siSRA) and ON-TARGETplus Non-targeting Pool Thermo Scientific, D-001810-10-05) was used as a negative control (siCtrl). A total of 25 nM siRNA was transfected in 6-well dishes using Lipofectamine™ RNAiMAX Reagent (Life Technologies, Invitrogen) following the manufacturer’s recommendations. Polyadenylated RNA was purified from the cells 32 hrs after transfection. cDNA libraries were prepared and double-stranded cDNA was fragmented using DNase I according to Illumina specifications, prior to adaptor ligation. Sequencing libraries were amplified and sequenced using an Illumina HiSeq 2000 sequencer.

Publication Title

Structure and function of steroid receptor RNA activator protein, the proposed partner of SRA noncoding RNA.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38871
Expression data from IR64 rice transformed with 35S::OsPSTOL1 gene
  • organism-icon Oryza sativa
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

OsPSTOL1 confers phosphorus (P)-deficiency tolerance in rice through enhancement of early root growth. The larger root surface area at early stage provides the plants an advantage for nutrient uptake.

Publication Title

The protein kinase Pstol1 from traditional rice confers tolerance of phosphorus deficiency.

Sample Metadata Fields

Specimen part

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accession-icon GSE110147
Gene expression profiling of idiopathic pulmonary fibrosis and non-specific interstitial pneumonia
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP) are the 2 most common forms of idiopathic interstitial pneumonia. Response to therapy and prognosis are remarkably different. The clinical-radiographic distinction between IPF and NSIP may be challenging. We sought to investigate the gene expression profile of IPF vs. NSIP

Publication Title

Comprehensive gene expression profiling identifies distinct and overlapping transcriptional profiles in non-specific interstitial pneumonia and idiopathic pulmonary fibrosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE15939
Transcript profiling in LTR mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

STN7-dependent phosphorylation of an as yet unknown thylakoid protein triggers the signaling events associated with the long-term acclimatory response (LTR). The LTR-associated signaling events regulate the expression of photosynthesis-related genes on the post-transcriptional level (nucleus), as indicated by transcript profiling in LTR mutants.

Publication Title

Arabidopsis STN7 kinase provides a link between short- and long-term photosynthetic acclimation.

Sample Metadata Fields

Specimen part

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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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