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accession-icon SRP071547
Dynamic gene regulatory networks of human myeloid differentiation [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconNextSeq500

Description

We utilize gene expression and open chromatin footprinting data to build a gene regulatory network of key transcription factors that capture the cell and time-specific regulatory programs specified during human myeloid differentiation. Overall design: RNA-seq profiling of undifferentiated HL-60, differentiating macrophage, neutrophil, monocyte, and monocyte-derived macrophage cells.

Publication Title

Dynamic Gene Regulatory Networks of Human Myeloid Differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP092251
Integrative analysis of single-cell ATAC-seq and RNA-seq using Self-Organizing Maps [scRNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 568 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We have developed a computational approach that uses self-organizing maps for integrative genomic analysis. We utilize this approach to identify the single-cell chromatin and transcriptomic profiles during mouse pre-B cell differentiation. Overall design: We use the C1 Fluidigm system to profile gene expression and chromatin accessibility in single-cells during pre-B cell differentiation.

Publication Title

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE87650
Integrative Epigenome-Wide Analysis Shows That DNA Methylation May Mediate Genetic Risk In Inflammatory Bowel Disease
  • organism-icon Homo sapiens
  • sample-icon 251 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative epigenome-wide analysis demonstrates that DNA methylation may mediate genetic risk in inflammatory bowel disease.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE86434
Integrative Epigenome-Wide Analysis Shows That DNA Methylation May Mediate Genetic Risk In Inflammatory Bowel Disease [Expression profiling]
  • organism-icon Homo sapiens
  • sample-icon 251 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Epigenetic alterations may provide important insights into gene-environment interaction in inflammatory bowel disease (IBD). Here we observe epigenome-wide DNA methylation differences in 240 newly-diagnosed IBD cases and 190 controls. These include 439 differentially methylated positions (DMPs) and 5 differentially methylated regions (DMRs), which we study in detail using whole genome bisulphite sequencing. We replicate the top DMP (RPS6KA2) and DMRs (VMP1, ITGB2, TXK) in an independent cohort.

Publication Title

Integrative epigenome-wide analysis demonstrates that DNA methylation may mediate genetic risk in inflammatory bowel disease.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE9918
temporal profiling of retinal transcriptome regulation after IONT and IONC
  • organism-icon Rattus norvegicus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

retinal ganglion cells die after optic nerve injury, either crush or transection. The molecular causesunderlying this degeneration are largely unkwon

Publication Title

Time course profiling of the retinal transcriptome after optic nerve transection and optic nerve crush.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10644
Characteristic Transcriptional Profiling of Rhythmic mRNA Expression in the Murine Distal Colon
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To identify a cohort of rhythmically expressed genes in the murine Distal Colon,microarrays were used to measure gene expression over a 24-hour light/dark cycle.The rhythmic transcripts were classified according to expression patterns, functions and association with physiological and pathophysiological processes of the colon including motility, colorectal cancer formation and inflammatory bowel disease.

Publication Title

Transcriptional profiling of mRNA expression in the mouse distal colon.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE56457
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequence Quality Control consortium
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene Expression Array (primeview), Illumina HumanHT-12 V4.0 expression beadchip, Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the United States Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for sequence discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At all sequencing depths, we discover unannotated exon-exon junctions, with >80% validated by qPCR. We find that measurements of relative expression are accurate and reproducible across sites and platforms if specific filters are used. In contrast, RNA-seq and microarrays do not provide accurate absolute measurements, and gene-specific biases are observed, for these and qPCR. Measurement performance depends on the platform and data analysis pipeline, and variation is large for transcriptlevel profiling. The complete SEQC data sets, comprising >100 billion reads (10Tb), provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings.

Publication Title

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE37517
Expression data from human induced pluripotent stem cell derived NSCs and striatal-like cells
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Huntington's disease (HD) is an inherited neurodegenerative disorder caused by an expanded stretch of CAG trinucleotide repeats that results in neuronal dysfunction and death. We made induced pluripotent stem cell (iPSC) lines from HD patients and controls. Though no obvious effects of the CAG expansion on reprogramming or subsequent neural stem cell (NSC) production were seen, HD-NSCs showed CAG expansion-associated gene expression patterns and, upon differentiation, changes in electrophysiology, metabolism, cell adhesion, and ultimately an increased risk of cell death for both medium and longer CAG repeat expansions, with some deficits greater in cells from longer repeat HD NSCs. The HD180 lines were more vulnerable than control lines to cellular stressors and BDNF withdrawal using a range of assays across consortium laboratories. This HD iPSC collection represents a unique and well-characterized resource to elucidate disease mechanisms in HD and provides a novel human stem cell platform for screening new candidate therapeutics.

Publication Title

Induced pluripotent stem cells from patients with Huntington's disease show CAG-repeat-expansion-associated phenotypes.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP095272
Analysis of parent-of-origin bias in gene expression levels
  • organism-icon Homo sapiens
  • sample-icon 325 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to study parent-of-origin effects on gene expression, we performed RNAseq analysis (100bp single end reads) of 165 children who formed part of mother/father/child trios where genotype data was available from the HapMap and/or 1000 Genomes Projects. Based on phased genotypes at heterozygous SNP positions, we generated allelic counts for expression of the maternal and paternal alleles in each individual. This analysis reveals significant bias in the expression of the parental alleles for dozens of genes, including both previously known and novel imprinted transcripts. Overall design: This submission contains RNAseq data from 165 children from mother/father/child trios studied as part of the 1000 genomes and/or HapMap projects. We provide raw fastq format reads, and processed read counts per gene. Allelic count information can be provided by directly contacting the authors.

Publication Title

RNA-Seq in 296 phased trios provides a high-resolution map of genomic imprinting.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE26111
Whole-genome gene expression profiling of Pik3cg-depleted mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

We performed whole-genome gene expression profiling in Pik3cg-/- mice and subsequent gene ontology clustering of differentially expressed genes compared to wild type mice, in order to investigate the role of Pik3cg in platelet membrane biogenesis and blood coagulation.

Publication Title

Maps of open chromatin guide the functional follow-up of genome-wide association signals: application to hematological traits.

Sample Metadata Fields

Sex, 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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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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