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accession-icon SRP101748
High throughput quantitative whole transcriptome analysis of individual macrophages 7 days post-pneumonectomy in a B6 CSF1R-GFP mouse
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using fluorescence activated cell sorting, we isolated CD45+, CSF1R-GFP+, F4/80+, Ly6G- mouse lung monocytes and macrophages at 7 days after pneumonectomy procedure. We then used microfluidic single cell RNA-sequencing to transcriptional profile unique myeloid subsets. Using the pneumonectomy dataset, we identified 6 cell groups and 4 gene groups that marked several regenerative macrophage subsets including CCR2+, Ly6C+ monocytes and CD206+, Chil3+ M2-like macrophages. Overall design: individual macrophages 7 days post-pneumonectomy in a B6 CSF1R-GFP mouse

Publication Title

Recruited Monocytes and Type 2 Immunity Promote Lung Regeneration following Pneumonectomy.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP101749
High throughput quantitative whole transcriptome analysis of individual macrophages 7 days post-sham thoracotomy in B6 CSF1R-GFP mice
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using fluorescence activated cell sorting, we isolated CD45+, CSF1R-GFP+, F4/80+, Ly6G- mouse lung monocytes and macrophages at 7 days after sham thoracotomy procedures. We then used microfluidic single cell RNA-sequencing to transcriptional profile unique myeloid subsets. Overall design: After sequencing 31 single cell transcriptomes were analyzed. Hierarcical and k-means clustering reveals several populations of macrophages are present in the lung.

Publication Title

Recruited Monocytes and Type 2 Immunity Promote Lung Regeneration following Pneumonectomy.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE12767
Chorionic villus sampling (CVS) microarray in preeclampsia
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

4 chorionic villus sampling specimens in pregnancies destined for preeclampsia and 8 matched controls were analyzed

Publication Title

Altered global gene expression in first trimester placentas of women destined to develop preeclampsia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE48893
Replication Stress is a Potent Driver of Functional Decline in Aging in Hematopoietic Stem Cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To understand at the molecular level the differences between old HSCs and young HSCs we have performed genome-wide analyses using Affymetrix Gene ST 1.0 microarrays with FACS purified cell populations. In contrast to other datasets comparing young and old HSCs, we compared both young and old HSCs and GMPs, and subtracted for genes that were also differentially expressed between young and old GMPs using a zero-intercept linear model. This allowed us to identify 913 significantly differentially expressed genes that were specific to old HSCs and segregated into different clusters.

Publication Title

Replication stress is a potent driver of functional decline in ageing haematopoietic stem cells.

Sample Metadata Fields

Sex

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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 GSE54628
Expression data from E16.5 mouse embryonic brain wild-type and knock-out conditions
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In this dataset, we include the expression data obtained from dissected mouse 16.5 embryonic brains using 3 wild type and 3 Tdp21-3 individuals. These data are used to obtain 165 genes that are differentially expressed as a consequence of Tdp2 absence.

Publication Title

TDP2 protects transcription from abortive topoisomerase activity and is required for normal neural function.

Sample Metadata Fields

Specimen part

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accession-icon GSE98673
Expression data of Arabidopsis thaliana Col-0 and mlo2 mlo6 mlo12 plants prior (0h) and after (8 and 12 h) Golovinomyces orontii inoculation
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Comparative microarray-based transcriptome analysis of A. thaliana mlo2 mlo6 mlo12 mutants and wild type plants upon Golovinomyces orontii inoculation revealed an increased and accelerated accumulation of many defense-related transcripts. Despite the biotrophic nature of the interaction, this included the non-canonical activation of a jasmonic acid/ethylene-dependent transcriptional program.

Publication Title

Key Components of Different Plant Defense Pathways Are Dispensable for Powdery Mildew Resistance of the Arabidopsis <i>mlo2 mlo6 mlo12</i> Triple Mutant.

Sample Metadata Fields

Specimen part, Treatment

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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

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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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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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