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accession-icon GSE53795
Th17 pathway is activated in early inflamed acne lesions
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The mechanisms of inflammation in acne are not well understood. This study performed in two separate patient populations focused on the activation of adaptive and innate immunity in early inflamed acne. Biopsies were collected from lesional and non-lesional skin of acne patients. Psoriasis patients and healthy volunteers were included in the study for comparison (not included in the records). Using Affymetrix Genechips, we observed significant elevation of the signature cytokines of the Th17 lineage in acne lesions compared to non-lesional skin. The increased expression of IL-17 was confirmed with real-time qPCR (RT-PCR) in two separate patient populations. Cytokines involved in Th17 lineage differentiation (IL-1beta, IL-6, TGF-beta; IL23p19) were remarkably induced at the RNA level. In addition, pro-inflammatory cytokines (IL-8, TNF-), Th1 markers (IL12p40, CXCR3, T-bet, IFN-gamma), T regulatory cell markers (Foxp3, IL-10, TGF-) and antimicrobial peptides (S100A7, S100A9, LNC2, hBD2, hBD3, hCAP18) were induced. Importantly, immunohistochemistry revealed significantly increased numbers of IL-17A positive T cells and CD83 dendritic cells in the acne lesions. In summary our results demonstrate the presence of IL17A positive T cells and the activation of Th17-related cytokines in acne lesions, indicating that the Th17 pathway may play a pivotal role in the disease process, offering new targets of therapy.

Publication Title

IL-17/Th17 pathway is activated in acne lesions.

Sample Metadata Fields

Specimen part

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accession-icon GSE27859
Inflammation switches the differentiation program of Ly6Chi monocytes from anti-inflammatory macrophages to inflammatory dendritic cells in the colon
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Dendritic cells (DCs) and macrophages (MPs) are important for immunological homeostasis in the colon. We found that F4/80hi CX3CR1hi (CD11b+CD103-) cells account for 80% of mouse colonic lamina propria (cLP) MHC-IIhi cells. Both CD11c+ and CD11c- cells within this population were identified as MPs based on multiple criteria, including a MP transcriptome revealed by microarray analysis. These MPs constitutively released high levels of IL-10 at least partially in response to the microbiota via an MyD88-independent mechanism. In contrast, cells expressing low to intermediate levels of F4/80 and CX3CR1 were identified as DCs, based on phenotypic and functional analysis and comprise three separate CD11chi cell populations: CD103+CX3CR1-CD11b- DCs, CD103+CX3CR1-CD11b+ DCs and CD103-CX3CR1intCD11b+ DCs. In non-inflammatory conditions, Ly6Chi monocytes differentiated primarily into CD11c+, but not CD11c- MPs. In contrast, during colitis, Ly6Chi monocytes massively invaded the colon and differentiated into pro-inflammatory CD103-CX3CR1intCD11b+ DCs, which produced high levels of IL-12, IL-23, iNOS and TNF. These findings demonstrate the dual capacity of Ly6Chi blood monocytes to differentiate into either regulatory MPs or inflammatory DCs in the colon, and that the balance of these immunologically antagonistic cell types is dictated by microenvironmental conditions.

Publication Title

Inflammation switches the differentiation program of Ly6Chi monocytes from antiinflammatory macrophages to inflammatory dendritic cells in the colon.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE84894
Expression data from starved first larval stage of wildtype and hyl-1(ok976); lagr-1(gk327) C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Our understanding of cellular mechanisms by which animals regulate their response to starvation is limited despite the close relevance of the problem to major human health issues. L1 diapause of Caenorhabditis elegans, where newly hatched first stage larval arrested in response to food-less environment, is an excellent system to study the problem. We found through genetic manipulation and lipid analysis that ceramide biosynthesis, particularly those with longer fatty acid side chains, critically impacts animal survival during L1 diapause. Genetic and expression analyses indicate that ceramide likely regulate this response by affecting gene expression and activity in multiple regulatory pathways known to regulate starvation-induced stress, including the insulin-IGF-1 signaling (IIS) pathway, Rb and other pathways that mediate pathogen/toxin/oxidative stress responses. These findings provide an important insight into the roles of sphingolipid metabolism in not only starvation response but also aging and food-response related human health problems.

Publication Title

Starvation-Induced Stress Response Is Critically Impacted by Ceramide Levels in Caenorhabditis elegans.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26982
Integrative DNA methylation and gene expression analyses identify DNA packaging and epigenetic regulatory genes associated with low motility sperm
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative DNA methylation and gene expression analyses identify DNA packaging and epigenetic regulatory genes associated with low motility sperm.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP024271
Identification of zygotically transcribed genes in zebrafish by 4-thio-UTP metabolic labeling
  • organism-icon Danio rerio
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The first embryonic cell divisions rely on maternally stored mRNA and proteins. The zygotic genome is initially transcriptionally silenced and activated later in a process called zygotic genome activation (ZGA). ZGA in any species is still a poorly understood process; the timing of transcription onset is controversial and the identity of the first transcribed genes unclear. Zebrafish, Danio rerio, is a rapidly developing vertebrate model, which is accessible to experimentation and global studies before, during and after ZGA. Overall design: To accurately determine the onset of ZGA and to identify the first transcripts in zebrafish, we developed a metabolic labeling method, utilizing the ribonucleotide analog 4-thio-UTP, which allows efficient and specific affinity purification of newly transcribed RNA. Using deep sequencing, we characterized the onset of transcription in zebrafish embryos at 128-, 256-, and 512-cell stages. We identified 592 nuclear-encoded zygotically transcribed genes, comprising 670 transcript isoforms. Mitochondrial genomes were highly transcribed at all time points. Further, bioinformatic analysis revealed an enrichment of transcription factors and miRNAs among the newly transcribed genes, suggesting mechanistic roles for the early genes that are required to activate subsequent gene expression programs in development. Interestingly, analysis of gene-architecture revealed that zygotically transcribed genes are often intronless and short, reducing transcription and processing time of the transcript. The newly generated dataset enabled us to compare zygotically transcribed genes over a broad phylogenetic distance with fly and mouse early zygotic genes. This analysis revealed that short gene length is a common characteristic for early zygotically expressed genes. However, we detected a poor level of overlap for shared orthologs.

Publication Title

The earliest transcribed zygotic genes are short, newly evolved, and different across species.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20007
Transcriptional profiles underlying parent-of-origin effects in seeds of Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional profiles underlying parent-of-origin effects in seeds of Arabidopsis thaliana.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20005
Parent-of-origin effects in seeds of Arabidopsis thaliana: Affymetrix
  • organism-icon Arabidopsis thaliana
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Crossing plants of the same species but different ploidies can have dramatic effects on seed growth, but little is known about the alterations to transcriptional programmes responsible for this. Parental genomic imbalance particularly affects proliferation of the endosperm, with an increased ratio of paternally to maternally contributed genomes (paternal excess) associated with overproliferation, while maternal excess inhibits endosperm growth. One interpretation is that interploidy crosses disrupt the balance in the seed of active copies of parentally imprinted genes. This is supported by the observation that mutations in imprinted FIS-class genes of Arabidopsis thaliana share many features of the paternal excess phenotype. Here we investigated gene expression underlying parent-of-origin effects in Arabidopsis through transcriptional profiling of siliques generated by interploidy crosses and FIS-class mutants.

Publication Title

Transcriptional profiles underlying parent-of-origin effects in seeds of Arabidopsis thaliana.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43798
Microarray of cardiac biventricle from PGC-1a-/-bf/f/MerCre mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The following abstract from the submitted manuscript describes the major findings of this work.

Publication Title

A role for peroxisome proliferator-activated receptor γ coactivator-1 in the control of mitochondrial dynamics during postnatal cardiac growth.

Sample Metadata Fields

Specimen part

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accession-icon SRP057512
Impact of flanking chromosomal sequences on localization and silencing by the ncRNA XIST
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We performed RNA-seq and ChIP-seq on clones of human cell lines carrying an inducible XIST transgene on 1p, 8p, or 12q to study the effects of allelic silencing in cis Overall design: Total gene expression and allelic changes were examined in HT1080 clones carrying an inducible XIST transgene on 1p, 8p, or 12q after induction by doxycycline. A replicate was done for the 8p clone treated with DOX. An additional 1p clone integrated with an empty vector, and an 1p, 8p, and 12q clone without induction were included as controls. ChIP was performed on the 8p clone to investigate the changes in H3K27 acetylation and trimethylation.

Publication Title

Impact of flanking chromosomal sequences on localization and silencing by the human non-coding RNA XIST.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064569
Effect of LSD1 depletion on gene expression in oocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The objective of the experiment is to compare the transcriptomes of LSD1 knockout (KO) and control oocytes Overall design: RNA-seq analysis of GV oocytes, with three biological replicates for each genotype

Publication Title

Dynamic changes in histone modifications precede de novo DNA methylation in oocytes.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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