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accession-icon SRP103811
Single-cell transcriptomics of East-Asian pancreatic islets cells
  • organism-icon Homo sapiens
  • sample-icon 332 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Single-cell RNA-seq (scRNA-seq) of pancreatic islets have reported on a- and ß-cell gene expression in mice and subjects of predominantly European ancestry. We aimed to assess these findings in East-Asian islet-cells. 448 islet-cells were captured from three East-Asian non-diabetic subjects for scRNA-seq. Hierarchical clustering using pancreatic cell lineage genes was used to assign cells into cell-types. Differentially expressed transcripts between a- and ß-cells were detected using ANOVA and in silico replications of mouse and human islet cell genes were performed. We identified 118 a, 105 ß, 6 d endocrine cells and 47 exocrine cells. Besides INS and GCG, 26 genes showed differential expression between a- and ß-cells. 10 genes showed concordant expression as reported in rodents, while FAM46A was significantly discordant. Comparing our East-Asian data with data from primarily European subjects, we replicated several genes implicated in nuclear receptor activations, acute phase response pathway, glutaryl-CoA/tryptophan degradations and EIF2/AMPK/mTOR signaling. Additionally, we identified protein ubiquitination to be associated among East-Asian ß-cells. We report on East-Asian a- and ß-cell gene signatures and substantiate several genes/pathways. We identify expression signatures in East-Asian ß-cells that perhaps reflects increased susceptibility to cell-death and warrants future validations to fully appreciate their role in East-Asian diabetes pathogenesis. Overall design: 448 islet-cells were captured from three East-Asian non-diabetic subjects for scRNA-seq. 223 islet-cells remained after samples QC, and these cells were used for subsequent analyses. Hierarchical clustering using pancreatic cell lineage genes was used to assign cells into cell-types. We identified 118 a and 105 ß endocrine cells in our dataset.

Publication Title

Single-cell transcriptomics of East-Asian pancreatic islets cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE86446
Expression data from influenza A virus (H5N3, H5N2/F118 and H1N1/WSN) infected mouse macrophages at 2 and 24H
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used the microarray data to analyse the host cell responses on mouse macrophages infected with the three Influenza A viruses

Publication Title

Systems-based approach to examine the cytokine responses in primary mouse lung macrophages infected with low pathogenic avian Influenza virus circulating in South East Asia.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-1130
Transcription profiling time series of human epithelial cells during development
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The experiment was designed to generate a time series for epithelial model during development. Each time point had 3 replicates. The data set contained 5 time points over 10 days. They are day0, day3, day5,day7,day10.

Publication Title

Dynamic and physical clustering of gene expression during epidermal barrier formation in differentiating keratinocytes.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon SRP092538
RNA-seq of Drosophila 0-2 hr embryos Rnase R
  • organism-icon Drosophila melanogaster
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the identification of Rnase R resistent stable intronic sequence RNAs (sisRNAs) in Drosophila. Overall design: RNA was obtained from 0-2 hr embryos and subjected to deep sequencing. ---------------------------------------- Authors state "We screened by manual inspection on the genome browser after mapping the reads to the genome" and "We managed to obtain 6 candidates with this approach".

Publication Title

Maternally Inherited Stable Intronic Sequence RNA Triggers a Self-Reinforcing Feedback Loop during Development.

Sample Metadata Fields

Subject

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accession-icon GSE9889
mef2 activity levels differentially affect gene expression during Drosophila muscle development
  • organism-icon Drosophila melanogaster
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

The conserved Mef2 transcription factor is a major regulator of gene expression and differentiation. Recent genomic studies have identified a large number of mef2-regulated target genes with distinct temporal expression profiles during Drosophila myogenesis. However, the question remains as to how a single transcription factor can control such diverse patterns of gene expression. The aim of this project was to investigate whether there are genes with different mef2-requirements for their expression during muscle differentiation in vivo during the development of Drosophila melanogaster.

Publication Title

mef2 activity levels differentially affect gene expression during Drosophila muscle development.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64395
Genome-wide mapping of DNA hydroxymethylation in osteoarthritic chondrocytes
  • organism-icon Homo sapiens
  • sample-icon 7 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

Genome-wide mapping of DNA hydroxymethylation in osteoarthritic chondrocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE64394
Genome-wide mapping of DNA hydroxymethylation in osteoarthritic chondrocytes [expression]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Examination of the genome-wide distribution of 5hmC in osteoarthritic chondrocytes compared to normal chondrocytes in order to elucidate the effect on OA-specific gene expression.

Publication Title

Genome-wide mapping of DNA hydroxymethylation in osteoarthritic chondrocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE16098
Genome-wide analysis of genes regulated transcriptionally and post-transcriptionally by HTLV-I p30
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The Human T-cell Leukemia Virus (HTLV)-type-I non-structural protein p30 plays an important role in virus transmission and gene regulation. p30 has been documented to inhibit the export of certain viral mRNA transcripts from the nucleus to the cytoplasm. This nuclear retainment of RNA molecules essentially results in gene silencing, where protein products are not produced.

Publication Title

Genome wide analysis of human genes transcriptionally and post-transcriptionally regulated by the HTLV-I protein p30.

Sample Metadata Fields

Specimen part

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accession-icon GSE89131
Preferential Epigenetic Programming of Estrogen Response after in utero xenoestrogen (bisphenol-A) exposure
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Preferential epigenetic programming of estrogen response after in utero xenoestrogen (bisphenol-A) exposure.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE86923
Preferential Epigenetic Programming of Estrogen Response after in utero xenoestrogen (bisphenol-A) exposure [Illumina]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Bisphenol-A (BPA) is an environmentally ubiquitous estrogen-like endocrine-disrupting compound. Exposure toBPAin utero hasbeen linked to female reproductive disorders, including endometrial hyperplasia and breast cancer. Estrogens are an etiological factor in many of these conditions. We sought to determine whether in utero exposure to BPA altered the global CpG methylation pattern of the uterine genome, subsequent gene expression, and estrogen response. Pregnant mice were exposed to an environmentally relevant dose of BPA or DMSO control. Uterine DNA and RNA were examined by using methylated DNA immunoprecipitation methylation microarray, expression microarray, and quantitative PCR. In utero BPA exposure altered the global CpG methylation profile of the uterine genome and subsequent gene expression. The effect on gene expression was not apparent until sexual maturation, which suggested that estrogen response was the primary alteration. Indeed, prenatal BPA exposure preferentially altered adult estrogen-responsive gene expression. Changes in estrogen response were accompanied by altered methylation that preferentially affected estrogen receptor-a (ERa)binding genes. The majority of genes that demonstrated both altered expression and ERa binding had decreased methylation. BPA selectively altered the normal developmental programming of estrogen-responsive genes via modification of the genes that bind ERa. Gene environment interactions driven by early life xenoestrogen exposure likely contributes to increased risk of estrogen related disease in adults.Jorgensen, E. M.,Alderman,M.H., III,Taylor, H. S. Preferential epigenetic programmingof estrogen response after in utero xenoestrogen (bisphenol-A) exposure.

Publication Title

Preferential epigenetic programming of estrogen response after in utero xenoestrogen (bisphenol-A) exposure.

Sample Metadata Fields

Age, 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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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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