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accession-icon GSE107361
Early-onset pediatric atopic dermatitis is characterized by Th2/Th17/Th22- centered inflammation and lipid alterations
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: While atopic dermatitis (AD) often starts in early childhood, detailed tissue profiling of early-onset AD in children is lacking, hindering therapeutic development for this patient population with a particularly high unmet need of better treatments.

Publication Title

Early-onset pediatric atopic dermatitis is characterized by T<sub>H</sub>2/T<sub>H</sub>17/T<sub>H</sub>22-centered inflammation and lipid alterations.

Sample Metadata Fields

Sex, Age, Specimen part, Race

View Samples
accession-icon E-MEXP-1138
Transcription profiling of mature pollen grains from wild type and AtMIKC* MADS-box gene knock-out Arabidopsis plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Effects of loss-of-function of AtMIKC* MADS-box genes on the mature Arabidopsis pollen transcriptome.

Publication Title

MADS-complexes regulate transcriptome dynamics during pollen maturation.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE19301
Gene Expression Patterns in Peripheral Blood Mononuclear Cells Associated with Asthma Exacerbation Attack
  • organism-icon Homo sapiens
  • sample-icon 220 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A large, prospective, non-interventional study was designed to study gene expression changes in peripheral blood mononuclear cells (PBMCs) associated with asthma exacerbations over the course of a year. PBMC samples were collected from subjects at the time of the study visits defined as 1) Quiet: during stable disease at 3 month intervals, 2) Exacerbation: during a 14 day period of deteriorating asthma and 3) Follow-up: within 14 days after cessation of an exacerbation. Gene expression levels during stable asthma, exacerbation, and two weeks after an exacerbation were compared.

Publication Title

Pathways activated during human asthma exacerbation as revealed by gene expression patterns in blood.

Sample Metadata Fields

Specimen part, Race

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accession-icon GSE15907
Immunological Genome Project data Phase 1
  • organism-icon Mus musculus
  • sample-icon 638 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene-expression microarray datasets generated as part of the Immunological Genome Project (ImmGen). Primary cells from multiple immune lineages are isolated ex-vivo, primarily from young adult B6 male mice, and double-sorted to >99% purity. RNA is extracted from cells in a centralized manner, amplified and hybridized to Affymetrix 1.0 ST MuGene arrays. Protocols are rigorously standardized for all sorting and RNA preparation. Data is released monthly in batches of cell populations.

Publication Title

Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.

Sample Metadata Fields

Sex, Age

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accession-icon SRP117360
The Arabidopsis transcription factor TCP5 during petal and inflorescence development
  • organism-icon Arabidopsis thaliana
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-sequencing performed on petals and inflorescence of Arabidopsis plants. The study provides insight into the role of the TCP5 transcription factor and its molecular mechanism underlying petal growth, using knock-out, overexpression and induction lines on which RNA-sequencing was performed. Overall design: Analysis of differential gene expression using petals from TCP5 overexpression and knockout lines, as well as inflorescences of an inducible TCP5 mutant.

Publication Title

Novel functions of the Arabidopsis transcription factor TCP5 in petal development and ethylene biosynthesis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE54312
HDG1 transcription factor targets
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

The AIL transcription factor BABY BOOM (BBM) is required together with the related PLETHORA proteins for embryo and root meristem development and its expression is sufficient to confer pluripotency and totipotency to somatic tissues. We show that BBM and other AIL proteins interact with multiple members of the L1/epidermal-expressed HD-ZIP class IV / HOMEODOMAIN GLABROUS (HDG) transcription factor family. Ectopic overexpression of HDG1, HDG11 and HDG12 genes induces a reduced growth phenotype, and analysis of HDG1 overexpression lines shows that this growth reduction is due to both root and shoot meristem arrest. To understand how HDG1 controls cell proliferation, as well as its functional relationship with BBM, we performed microarray experiments to identify candidate genes that are directly regulated by HDG1, and compared these to the set of genes that are directly regulated by BBM expression.

Publication Title

AIL and HDG proteins act antagonistically to control cell proliferation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE85333
Transcriptional effects of anti-inflammatory or anti-depressant drugs on primary human macrophages inflammatory response
  • organism-icon Homo sapiens
  • sample-icon 182 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

The direct communication between our central nervous and inflammatory signalling systems is a well-recognised, yet poorly understood relationship. To increase our understanding of this relationship, we examined the metabolism of serotonin and its precursor tryptophan in macrophages under inflammatory settings. Both are involved in inflammatory signalling and known to play a major role in mood regulation. Tryptophan depletion by macrophages during inflammation can consequently result in a reduction of serotonin systemically and has been suggested to cause depression. Increased understanding of this system could help overcome the problem of treatment resistant depressed patients. To this end, we treated primary human monocyte derived macrophages with a range of anti-depressant/anti-inflammatory drugs and analysed their transcriptional profile under various inflammatory conditions. In addition to the classic endotoxic driver of inflammation, LPS, we also used IFN which is a constitutive cytokine shown to directly induce depression when administered in high doses. The anti-depressant drugs were not found to have any significant effects on macrophage inflammatory signalling. However, the anti-inflammatories drugs were found to alter components of the serotonin/tryptophan metabolism pathways. This study increases our understanding of the intricacies of immune/mood cross-talk and offers into developing anti-inflammatories as co-treatment for depression.

Publication Title

Effects of anti-inflammatory drugs on the expression of tryptophan-metabolism genes by human macrophages.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

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accession-icon GSE98793
Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study investigated gene expression changes in whole blood samples obtained from donors diagnosed with major depressive disorder (MDD) compared to healthy controls. Micro-array data were available from whole blood on patients with MDD (N=128, 64 with generalised anxiety disorder, diagnosed by the MINI questionnaire, and 64 without anxiety disorder) and healthy controls (N=64). RNA was isolated from all samples using the standard PAXgene protocol on the Qiagen Biorobot 8000. All samples gave good quality RNA, as assessed by Agilent Bioanalyser. The yield range was 0.86-15.05ug with an average of 6.25ug. Samples were then randomised into batches, with each batch containing a representative number of controls, depression with anxiety and depression without anxiety, and the same ratio of females to males (3:1). 50ng of RNA from each sample was converted to a biotin labeled cDNA probe using NuGEN SPIA amplification. The probes were then hybridized to Affymetrix U133_Plus2.0 Genechips.

Publication Title

Replicable and Coupled Changes in Innate and Adaptive Immune Gene Expression in Two Case-Control Studies of Blood Microarrays in Major Depressive Disorder.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE22229
Identification of a B cell signature associated with renal transplant Tolerance in humans
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression.

Publication Title

Identification of a B cell signature associated with renal transplant tolerance in humans.

Sample Metadata Fields

Specimen part

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accession-icon GSE75306
ImmGen Cytokines: Interferons
  • organism-icon Mus musculus
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Parsing the Interferon Transcriptional Network and Its Disease Associations.

Sample Metadata Fields

Sex, Age, Specimen part, 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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