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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 GSE16534
Exon array profiling detects EML4-ALK fusion in breast, colorectal and non-small cell lung cancers.
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Exon array profiling of human primary tumor tissue samples including breast, colon and NSCLC.

Publication Title

Exon array profiling detects EML4-ALK fusion in breast, colorectal, and non-small cell lung cancers.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE5901
Expression profiling of the mouse prostate after castration and hormone replacement
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

In this study, we used microarray analysis to determine gene expression profile changes in the mouse prostate following castration and hormone replacement. We first identified genes with significant expression changes in each of these two processes and then generated a list of androgen responsive genes and a list of genes whose expression were inversely correlated with the presence of androgen. The analysis of this data set is described in Wang et al., Differentiation, 2006

Publication Title

Expression profiling of the mouse prostate after castration and hormone replacement: implication of H-cadherin in prostate tumorigenesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP070944
GRN knockout, sorted brain cells
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

1 year old mice were perfused and brains were dissociated. Cells were fixed, immunolabeled and FACS sorted. RNA was extracted from neuron, astrocyte, and microglial cell populations. Typical RIN=4-5 for neurons, 6-8 for astrocytes, and 5-7 for microglia. Typical RNA yields ~100ng for neurons, ~20ng for microglia, and ~10ng for astrocytes. cDNA was generated from up to 25 ng of total RNA using Nugen’s RNA-Seq method for low-input RNA samples, Ovation RNA-Seq System V2 (NuGEN). (Per manufacturers instructions, total RNA was neither depleted of rRNA nor polyA-selected.) 1 µg of sheared cDNA was taken into further processing, starting at end repair step, using Illumina’s TruSeq RNA Sample Preparation Kit v2 (Illumina). The "SAMID" sample characteristic is a sample identifier internal to Genentech. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007717 Overall design: Astrocytes, microglia and neurons were sorted from PGRN heterozygous or knockout mice.

Publication Title

Progranulin deficiency causes impairment of autophagy and TDP-43 accumulation.

Sample Metadata Fields

Sex, Specimen part, Subject

View Samples
accession-icon GSE7216
Cytokine treated normal human epidermal keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Normal human epidermal keratinocytes (NHEK) from neonatal foreskin were cultured in serum-free EpiLife medium with human KC growth supplement (0.2% bovine pituitary extract (v/v), 5ug bovine insulin, 5ug/ml bovine transferrin, 0.5ng/ml human EGF, and 0.18 ug/ml hydrocortisone) from Cascade Biologics. Cultures were treated with recombinant cytokines from R&D Systems. J Immunol. 2007 Feb 15;178(4):2229-40.

Publication Title

The effects of IL-20 subfamily cytokines on reconstituted human epidermis suggest potential roles in cutaneous innate defense and pathogenic adaptive immunity in psoriasis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP070945
RNAseq comparison of WT vs Progranulin KO brain
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA was extracted from cortex of 1 year old wildtype, heterozygous or homozygous PGRN knockout mice. The "SAMPLE_ID" sample characteristic is a sample identifier internal to Genentech. The ID of this project in Genentech''s ExpressionPlot database is PRJ0007808 Overall design: RNA was extracted from cortex of 1 year old wildtype, heterozygous or homozygous PGRN knockout mice.

Publication Title

Progranulin deficiency causes impairment of autophagy and TDP-43 accumulation.

Sample Metadata Fields

Specimen part, Subject

View Samples
...

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)

fund-icon Fund the CCDL

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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