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accession-icon GSE3059
Leukocytes Gene Expression in Correlation to Plasma Lipid Levels
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background---For decades, plasma lipid levels have been known risk factors of atherosclerosis. Recently, inflammation has gained acceptance as a crucial event in the pathogenesis and development of atherosclerosis. A number of studies have provided some insights into the relationships between the two aspects of atherosclerosis: plasma lipids --- the risk factors, and circulating leukocytes --- the effectors of inflammation. In this study, we investigate the relationships between plasma lipids and leukocytes.

Publication Title

Identifying leukocyte gene expression patterns associated with plasma lipid levels in human subjects.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10070
Gene Expression in MCF10A cells through Differentiation on Transwells
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To further understand the differences occurring in MCF10A cells as they polarize and differentiate in the Transwell model, we performed gene expression profiling with Affymetrix Human Genome U133 Plus 2.0 Arrays. Four experimental time points, were sampled: conventional cultures of MCF10A cells grown on plastic (Monolayer) and MCF10A cells plated on Transwells sampled at three TEER values, 200-300 cm2 (Base), 1400-1600 cm2 (Midpoint), and 3000-3200 cm2 (Plateau).

Publication Title

In vitro multipotent differentiation and barrier function of a human mammary epithelium.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23206
NSCLC cells treated with Gefitinib
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

About 10% of all NSCLC patients respond to gefitnib treatment and all of these patients will acquire resistance to the EGFR TKI.

Publication Title

Rapidly acquired resistance to EGFR tyrosine kinase inhibitors in NSCLC cell lines through de-repression of FGFR2 and FGFR3 expression.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE37450
Molecular Phenotyping of Immune Cells from Young NOD Mice
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Islet leukocytic infiltration (insulitis) is first obvious at around 4 weeks of age in the NOD mouse a model for human type 1 diabetes (T1DM). The molecular events leading to insulitis are poorly understood. Since TIDM is caused by numerous genes, we hypothesized that multiple molecular pathways are altered and interact to initiate this disease.

Publication Title

Molecular phenotyping of immune cells from young NOD mice reveals abnormal metabolic pathways in the early induction phase of autoimmune diabetes.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE43794
Differentiation of human fetal multipotential neural progenitor cells to astrocytes reveals susceptibility factors for JC Virus
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Viral infections of the CNS are of increasing concern, especially among immunocompromised populations. Rodent models are often inappropriate for studies of CNS infection, as many viruses, including JC Virus (JCV) and HIV, cannot replicate in rodent cells. Consequently, human fetal brain-derived multipotential CNS progenitor cells (NPCs) that can be differentiated into neurons, oligodendrocytes, or astrocytes, have served as a model for CNS studies. NPCs can be non-productively infected by JCV, while infection of progenitor-derived astrocytes (PDAs) is robust. We profiled cellular gene expression at multiple times during differentiation of NPCs to PDAs. Several activated transcription factors show commonality between cells of the brain in which JCV replicates and lymphocytes in which JCV is likely latent. Bioinformatic analysis determined transcription factors that may influence the favorable transcriptional environment for JCV in PDAs. This study attempts to provide a framework for understanding the functional transcriptional profile necessary for productive JCV infection.

Publication Title

Differentiation of human fetal multipotential neural progenitor cells to astrocytes reveals susceptibility factors for JC virus.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE11981
Gene expression profiling of HhAntag-treated pancreatic xenografts
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Four vehicle-treated and four HhAntag-treated pancreatic xenograft tumors were profiled for gene expression changes using Affymetrix U133 Plus 2.0 and Affymetrix Mouse Genome 430 2.0 arrays.

Publication Title

A paracrine requirement for hedgehog signalling in cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2429
Atypical Ductal Hyperplasia
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Fresh Atypical ductal hyperplasia (ADH) tissue collected from breast of a women who either (1) had no prior history of breast cancer and had not developed breast cancer in five years after diagnosis, (2) had cancer before ADH, or had cancer at the time as ADH or developed cancer after ADH diagnosis

Publication Title

Identification of MMP-1 as a putative breast cancer predictive marker by global gene expression analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP154372
Differential gene expression in NPHS2-Cre +/+ mouse glomeruli versus wild-type control
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To investigate differential gene expression that might account for the differing glomerular phenotype of NPHS2-Cre +/+ mice when compared with wild-type control, including altered GBM thickness, loss of normal foot process morphology, and decrease in podocyte number, RNA sequencing analysis was performed on glomeruli extracted from both NPHS2-Cre +/+ and wild-type control mice. Overall design: Following isolation of glomeruli using Dynabeads from NPHS2-Cre +/+ and wild-type control mice (n=2 biological replicates per genotype, singly isolated), total RNA was extracted and RNA samples were submited for sample preparation and sequencing.

Publication Title

Podocyte-specific expression of Cre recombinase promotes glomerular basement membrane thickening.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP136794
DNA methylation in neurons from post-mortem brains in schizophrenia and bipolar disorder (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We fine-mapped DNA methylation in neuronal nuclei (NeuN+) isolated by flow cytometry from post-mortem frontal cortex of the brain of individuals diagnosed with schizophrenia, bipolar disorder, and controls (n=29, 26, and 28 individuals). Overall design: Brain tissue samples (n=34 human samples, 17 case and 17 control) were lysed using QIAzol Lysis Reagent (Qiagen) and homogenized with a TissueLyser (Qiagen). Total RNA from each sample was isolated using the RNeasy Plus Universal Mini kit (Qiagen) according to manufacturer's instructions and included an enzymatic DNase (Qiagen) digestion step. RNA quality was measured on a 2100 Bioanalyzer (Agilent) and quantity was determined with a Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific). Only RNA samples with a RIN quality score >7 proceeded to RNA-seq library preparation (RIN between 7.1 to 9.4 for all samples). Libraries were prepared by the Van Andel Genomics Core from 300 ng of total RNA using the KAPA RNA HyperPrep Kit with RiboseErase (v1.16) (Kapa Biosystems). RNA was sheared to 300-400 bp. Prior to PCR amplification, cDNA fragments were ligated to Bio Scientific NEXTflex Adapters (Bioo Scientific). Quality and quantity of the finished libraries were assessed using a combination of Agilent DNA High Sensitivity chip (Agilent Technologies, Inc.), QuantiFluor® dsDNA System (Promega Corp.), and Kapa Illumina Library Quantification qPCR assays (Kapa Biosystems). Individually indexed libraries were pooled, and 75 bp paired-end sequencing was performed on an Illumina NextSeq 500 sequencer, with all libraries run across 3 flowcells. Base calling was done by Illumina NextSeq Control Software (NCS) v2.0 and output of NCS was demultiplexed and converted to FastQ format with Illumina Bcl2fastq v1.9.0. Trimgalore (v0.11.5) was used for adapter removal prior to genome alignment. STAR33 (v2.3.5a) index was generated using Ensemble GRCh38 p10 primary assembly genome and the Gencode v26 primary assembly annotation. Read alignment was performed using a STAR two-pass mode. Gene counts matrix was imported into R (3.4.1) and low expressed genes (counts per million (CPM) < 1 in all samples) were removed prior to differential expression in EdgeR. Gene counts were normalized using the trimmed mean of M-values, fitted in a generalized linear model and differentially tested using a likelihood ratio test. The generalized linear model contained covariates age, sex, post mortem interval and neuronal cell composition. Cell-type compositions for each sample was accessed using CIBERSORT34 on normalized sample counts against cell-type specific markers, identifying the proportion of neurons in each samples. Benjamini Hochberg correction was used to adjust for multiple testing.

Publication Title

Differential methylation of enhancer at IGF2 is associated with abnormal dopamine synthesis in major psychosis.

Sample Metadata Fields

Sex, Age, Race, Subject

View Samples
accession-icon GSE35776
Noncoding RNA expression in myocardium from infants with tetralogy of Fallot [mRNA profiling]
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This is the first report characterizing noncoding RNA expression in a congenital heart defect. The striking shift in expression of noncoding RNAs reflects a fundamental change in cell biology, likely impacting expression, transcript splicing and translation of developmentally important genes and possibly contributing to the cardiac defect. The importance of noncoding RNAs (ncRNA), especially microRNAs, for maintaining stability in the developing vertebrate heart has recently become apparent. However, there is little known about the expression pattern of ncRNA in the human heart with developmental anomalies.

Publication Title

Noncoding RNA expression in myocardium from infants with tetralogy of Fallot.

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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