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accession-icon GSE11103
Study of human immune and memory T cells using microarray
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE11057
Memory T Cell Subsets
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE11058
Immune Cell Line Mixtures
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP099018
Single cell RNA expression of mouse embryonic basal forebrain
  • organism-icon Mus musculus
  • sample-icon 225 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell RNA-Seq RNA from medial ganglionic eminence at E11.5, E13.5, E15.5 or E17.5. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007389 Overall design: Single-cell RNA-Seq from medial ganglionic eminence at E11.5, E13.5, E15.5 or E17.5.

Publication Title

Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP098938
Embryonic stem cells-derived neural progenitor cells
  • organism-icon Mus musculus
  • sample-icon 140 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

J14 ES cells differentiated into MGE-like cells. Three groups of single-cell preparations were analyzed: ES cells (undifferentiated), differentiated cells (unsorted, of which less than 10% are GFP+) and GFP+ differentiated cells. These are specified in the "group" sample characteristic, with values "ES", "Unsorted" and "GFP+" respectively. The "SAMPLE_ID" sample characteristic is a sample identifier internal to Genentech. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007904 Overall design: J14 ES cells differentiated into MGE-like cells

Publication Title

Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE37088
Follicular Lymphoma expression array
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We used microarrays to detail gene expression profile of several follicular lymphoma patient samples with different grades

Publication Title

Frequent disruption of the RB pathway in indolent follicular lymphoma suggests a new combination therapy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE26349
Breast Cancer Methylomes Establish an Epigenomic Foundation for Metastasis
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Cancer-specific changes in DNA methylation can alter genetic stability, genomic structure, and gene expression. Promoter CpG island methylation can result in transcriptional silencing and plays an important role in the oncogenic process. We used genome-wide analysis to characterize the methylomes of breast cancers with diverse metastatic behavior. Here, we describe the identification of novel groups of breast tumors characterized by the presence or absence of coordinate hypermethylation at a large number of genes, demonstrating the existence of a breast-CpG island methylator phenotype (B-CIMP). B-CIMP imparts a distinct epigenomic profile and is a strong determinant of metastatic potential.

Publication Title

Breast cancer methylomes establish an epigenomic foundation for metastasis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon E-MTAB-3230
Comparative transcriptome study of enhanced water stress tolerant (ewst1) mutant of rice variety Nagina22
  • organism-icon Oryza sativa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Twenty one day old seedlings of the mutant and WT grown in hydroponic culture in three replications were subjected to 25% PEG stress for one hour. The leaf samples of stressed and control seedlings were collected and preserved in liquid nitrogen for RNA isolation. Total RNA from four samples i.e. mutant control (MC), mutant stress (MS), Nagina22 control (NC) and Nagina22 stress (NS) was extracted by following the manufacturer‰۪s instructions provided with SV Total RNA isolation system Kit (PROMEGA, USA). All the steps starting from cRNA preparation to hybridization were conducted following the instructions of Affymetrix (AffymetrixGeneChip Expression Analysis Technical Manual). Chips were washed and stained in the Affymetrix Fluidics Station 450, and then scanned using the Affymetrix Gene Chip Scanner 3000. The cell intensity data files (.CEL) generated by the Gene Chip Operating Software (GCOS 1.2).

Publication Title

Physiological, anatomical and transcriptional alterations in a rice mutant leading to enhanced water stress tolerance.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE13487
Antitumor efficacy of RAF inhibitor GDC-0879 involving BRAFV600E mutational status and ERK/MAPK pathway suppression
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Unsupervised hierarchical clustering revealed a strong similarity in gene modulation resulting from either compound treatment or BRAF ablation mediated by RNA interference relative to DMSO-treated control samples .

Publication Title

Antitumor efficacy of the novel RAF inhibitor GDC-0879 is predicted by BRAFV600E mutational status and sustained extracellular signal-regulated kinase/mitogen-activated protein kinase pathway suppression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE45229
Unique pharmacological actions of atypical neuroleptic quetiapine: possible role in cell cycle/fate control
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Quetiapine is an atypical neuroleptic with a pharmacological profile distinct from classic neuroleptics. It is currently approved for treating patients with schizophrenia, major depression and bipolar I disorder. However, its cellular effects remain elusive.

Publication Title

Unique pharmacological actions of atypical neuroleptic quetiapine: possible role in cell cycle/fate control.

Sample Metadata Fields

Sex, Treatment

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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