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accession-icon GSE13576
Early Relapse in ALL is identified by Time To Leukemia in NOD/SCID mice and is characterized by a gene signature involving survival pathways
  • organism-icon Homo sapiens
  • sample-icon 193 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis identified a specific signature of differentially expressed genes discriminating TTLshort and TTLlong phenotypes.

Publication Title

Early relapse in ALL is identified by time to leukemia in NOD/SCID mice and is characterized by a gene signature involving survival pathways.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-623
Transcription profiling of targeted overexpression of branchless (UAS-bn1) at different developmental stages, and of a bn1-P1 mutant in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Transcriptome analysis of the targeted overexpression of branchless (UAS-bnl) using a tracheal driver (breathless-GAL4) in comparison to a wildtype reference at two different developmental stages (10-11h AEL and 17-19h AEL), and of a bnl-P1 mutant in comparison to a wildtype reference at 17-19h AEL.

Publication Title

Identification of FGF-dependent genes in the Drosophila tracheal system.

Sample Metadata Fields

Age, Time

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accession-icon GSE20339
cRNA hybridizations of Tsu-1 and Kas-1 accessions of Arabidopsis thaliana under well-watered and mild soil drying
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

These data provide a basis for exploration of gene expression differences between physiologically extreme accessions of Arabidopsis thaliana.

Publication Title

Exploring genetic and expression differences between physiologically extreme ecotypes: comparative genomic hybridization and gene expression studies of Kas-1 and Tsu-1 accessions of Arabidopsis thaliana.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE20340
Genomic DNA hybridizations of Col-0, Tsu-1, and Kas-1 accessions of Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

These data provide a basis for the detection of sequence based polymorphisms between the Col-1, Tsu-1, and Kas-1 accessions of Arabidopsis thaliana. The experimental data provides an initial characterization of differences among the accessions, as well as a means for improving gene expression studies with the filtering of SFP from arrays studies.

Publication Title

Exploring genetic and expression differences between physiologically extreme ecotypes: comparative genomic hybridization and gene expression studies of Kas-1 and Tsu-1 accessions of Arabidopsis thaliana.

Sample Metadata Fields

Specimen part

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accession-icon SRP095604
Genome-wide transcriptome profiles in Control and Schizophrenia hiPSC-dervied NPC [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We Report the genome-wide RNA expression levels in control and schizophrenia hiPSC dervied NPC treated with neuronal media for 2 days. In total about 15,000 gene expression were detected in all samples, of which 1349 were dysregualted. Overall design: Examination, identification and comparision of mRNA expression profliles in control and schizophrenia npc

Publication Title

Common developmental genome deprogramming in schizophrenia - Role of Integrative Nuclear FGFR1 Signaling (INFS).

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE1907
Sarcoidosis + Follow-up study
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

Sarcoidosis + Follow-up 6 month after

Publication Title

Functional genomics and prognosis in sarcoidosis--the critical role of antigen presentation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE29832
Expression data from pure/mixed blood and breast to test feasability of deconvolution of clinical samples
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples collected from human subjects in clinical trials possess a level of complexity, arising from multiple cell types, that can obfuscate the analysis of data derived from them. Blood, for example, contains many different cell types that are derived from a distinct lineage and carry out a different immunological purpose. Failure to identify, quantify, and incorporate sources of heterogeneity into an analysis can have widespread and detrimental effects on subsequent statistical studies.

Publication Title

Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE8319
A LysM Receptor-like Kinase Mediates Chitin Perception and Fungal Resistance in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

A LysM Receptor-like Kinase Mediates Chitin Perception and Fungal Resistance in Arabidopsis

Publication Title

A LysM receptor-like kinase plays a critical role in chitin signaling and fungal resistance in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP006674
ChipSeq of FoxP3 bound regions and mRNAseq data of human Treg and CD4+ Th cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

Regulatory T-cells (Treg) play an essential role in the negative regulation of immune answers by developing an attenuated cytokine response that allows suppressing proliferation and effector function of T-cells (CD4+ Th). The transcription factor FoxP3 is responsible for the regulation of many genes involved in the Treg gene signature. Its ablation leads to severe immune deficiencies in human and mice. Recent developments in sequencing technologies have revolutionized the possibilities to gain insights into transcription factor binding by ChiP-Seq and into transcriptome analysis by mRNA-Seq. We combine FoxP3 ChiP-Seq and mRNA-Seq in order to understand the transcriptional differences between primary human CD4+ T helper and regulatory T-cells, as well as to study the role of FoxP3 in generating those differences. We show, that mRNA-Seq allows analyzing the transcriptomal landscape of T-cells including the expression of specific splice variants at much greater depth than previous approaches, whereas 50% of transcriptional regulation events have not been described before by using diverse array technologies.

Publication Title

Next-generation insights into regulatory T cells: expression profiling and FoxP3 occupancy in Human.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33252
Chromatin based modeling of transcription rates identifies the contribution of different regulatory layers to steady-state mRNA levels
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Messenger RNA levels in eukaryotes are balanced by two consecutive regulatory layers. Primary, transcriptional regulation at the level of chromatin and secondary, post-transcriptional regulation of the initial transcript in the cytoplasm. Each layer is individually studied in mechanistic detail, while integration of both processes is required to quantify the individual contribution to steady-state RNA levels. Here we show that chromatin features are sufficient to model transcription rate but with different sensitivities in dividing versus post mitotic cells. In both cases chromatin derived transcript levels explains over 80% of variance in measured RNA level enabling to separate transcription from different post-transcriptional processes. By further inclusion of measurements of mRNA half-life and micro RNA expression data we identify a low quantitative contribution of RNA decay by either micro RNA or general differential turnover to final mRNA levels. Together this establishes a chromatin based quantitative model for the contribution of transcriptional and posttranscriptional processes to steady-state levels of messenger RNA.

Publication Title

Chromatin measurements reveal contributions of synthesis and decay to steady-state mRNA levels.

Sample Metadata Fields

Specimen part, Disease, Treatment, Time

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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)

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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