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accession-icon SRP052706
Rapamycin induces chromosome reorganization and increases cytokine production in normal human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

We report the effects of Rapamycin treatment on the transcriptome of normal human dermal fibroblasts isolated from foreskin (designated 2DD). We sequenced mRNA from 2 replicates of proliferative (PRO) quiescent (QUI, serum starved) or treated with 500nM Rapamycin for 5 days (RAP). Comparative analyses with PRO transcripts a baseline indicate that genes that changed expression from Rapamycin treated fibroblasts are significantly different from those of quiescence cells. Rapamycin treated cells showed a significant enrichment for cytokines from the Il-6 cascade. Overall design: Examination of mRNAs from proliferative, quiescent (serum starvation) and Rapamycin (5oonM, 5days) treated 2DD normal human dermal/foreskin fibroblasts.

Publication Title

Concordance between RNA-sequencing data and DNA microarray data in transcriptome analysis of proliferative and quiescent fibroblasts.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP034606
Cell cycle positioning drives heterogeneity within the pluripotent stem cell compartment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Heterogeneity in pluripotent cells marks a metastable state where cells may drift between native and lineage-primed populations. While the role for these heterogeneities are unclear, they may reflect the dynamic equilibriums of signaling networks and have a direct effect on differentiation potentialities. Here, we report the role of the cell cycle in establishing heterogeneity of human pluripotent stem cells. By utilizing the FUCCI cell cycle indicator system coupled to fluorescent activated cell sorting (FACS), we have uncovered that the cell cycle drives heterogeneity at the epigenetic, transcriptional and post-transcriptional levels. Our data show widespread dynamics in 5-hydroxymethylcytosine (5hmC) during the cell cycle. Furthermore, transcript profiling by RNA-sequencing identified >500 genes that were cell cycle-regulated, of which the largest cohort of genes were transcriptional regulators. In sum, we demonstrate the role of the cell cycle in coordinating cellular transitions between metastable states in pluripotent stem cells. Overall design: mRNA sequencing of the cell cycle phases; early & late G1, S and G2/S from human ES cells in triplicate.

Publication Title

Cell-cycle control of developmentally regulated transcription factors accounts for heterogeneity in human pluripotent cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17179
Definition of the Pseudomonas aeruginosa Anr and Dnr Regulons
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

The anaerobic metabolism of the opportunistic pathogen Pseudomonas aeruginosa is important for growth and survival during persistent infections. The two Fnr-type transcription factors Anr and Dnr regulate different parts of the underlying network. Both are proposed to bind to a non-distinguishable DNA sequence named Anr box.

Publication Title

Anaerobic adaptation in Pseudomonas aeruginosa: definition of the Anr and Dnr regulons.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE48350
Alzheimer's Disease Dataset
  • organism-icon Homo sapiens
  • sample-icon 246 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This dataset contains microarray data from normal controls (aged 20-99 yrs) and Alzheimer's disease cases, from 4 brain regions: hippocampus, entorhinal cortex, superior frontal cortex, post-central gyrus. Changes in expression of synaptic and immune related genes were analyzed, investigating age-related changes and AD-related changes, and region-specific patterns of change.

Publication Title

Gene expression changes in the course of normal brain aging are sexually dimorphic.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE11882
Gene expression changes in the course of normal brain aging are sexually dimorphic
  • organism-icon Homo sapiens
  • sample-icon 168 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This dataset of cognitively normal controls is a subset of the GSE48350 dataset, which additionally contains microarray data from AD brains.

Publication Title

Gene expression changes in the course of normal brain aging are sexually dimorphic.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE73482
Gene expression patterns in allergen-driven CD4 T cell responses from human atopics with or without asthma.
  • organism-icon Homo sapiens
  • sample-icon 144 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

PBMC from house dust mite (HDM) sensitized atopics with or without asthma (or nonallergic controls) were cultured in the presence or absence of HDM extract for 24 hours.

Publication Title

Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE15840
Expression data for conditional Dnmt1knockout hematopoietic stem and progenitor cells
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

DNA methylation is essential for mammalian development and plays crucial roles in a variety of biological processes. The DNA methyltransferase Dnmt1 serves to maintain parental cell methylation patterns on daughter DNA strands in mitotic cells, however, the precise role of Dnmt1 in regulation of quiescent adult stem cells is not known.

Publication Title

DNA methyltransferase 1 is essential for and uniquely regulates hematopoietic stem and progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP191066
Gene expression of blood and cerebellum of Mecp2-null and WT male mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to find a relationship between gene expression of blood and brain in Rett Syndrome (RTT), we performed RNA sequencing on from cerebella and blood of 7 week-old male Mecp2-null mice (a model of RTT) and WT controls. Overall design: Transcriptional profiles were generated from cerebellum and blood of 3 Mecp2-null and 3 WT 7 week-old male mice, by RNAseq performed on an Illumina HiSeq 2000 System, generating approximately 60 million 2x75bp paired-end reads/sample. Blood and cerebellum samples originate from the same animal

Publication Title

Transcriptomic Analysis of <i>Mecp2</i> Mutant Mice Reveals Differentially Expressed Genes and Altered Mechanisms in Both Blood and Brain.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon SRP069869
Gene expression profiling of Drosophila melanogaster 30 minutes after alcohol exposure
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We sequenced mRNA extracted from heads of a D. melanogaster population that was sedated with a stream of ethanol saturated vapor, 30 minutes before RNA extraction; and from an age-matched untreated control group. Differential gene expression between the two groups was calculated and reported. Overall design: Examination of mRNA levels in heads of D. melanogaster adult females after ethanol exposure was performed using next generation sequencing (NGS) technology.

Publication Title

Alcohol resistance in Drosophila is modulated by the Toll innate immune pathway.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon GSE50513
Identify genes regulated by zip-2 in absence and presence of P. aeruginosa PA14 infection at 4h
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Very little is known about how animals discriminate pathogens from innocuous microbes. To address this question, we examined infection-response gene induction in the nematode Caenorhabditis elegans. We focused on genes that are induced in C. elegans by infection with the bacterial pathogen Pseudomonas aeruginosa, but are not induced by an isogenic attenuated gacA mutant. Most of these genes are induced independently of known immunity pathways. We generated a GFP reporter for one of these genes, infection response gene 1 (irg-1), which is induced strongly by wild-type P. aeruginosa strain PA14, but not by other C. elegans pathogens or by other wild-type P. aeruginosa strains that are weakly pathogenic to C. elegans. To identify components of the pathway that induces irg-1 in response to infection, we performed an RNA interference screen of C. elegans transcription factors. This screen identified zip-2, a bZIP transcription factor that is required for inducing irg-1, as well as several other genes, and is important for defense against infection by P. aeruginosa. These data indicate that zip-2 is part of a specialized pathogen response pathway that is induced by virulent strains of P. aeruginosa and provides defense against this pathogen.

Publication Title

bZIP transcription factor zip-2 mediates an early response to Pseudomonas aeruginosa infection in Caenorhabditis elegans.

Sample Metadata Fields

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)

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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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