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accession-icon SRP061774
The SWI/SNF chromatin remodeling complex is required for lineage specific enhancer activity [MEF_RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Genes encoding subunits of SWI/SNF (BAF) chromatin remodeling complexes are collectively altered in over 20% of all human malignancies, but the mechanisms by which these complexes alter chromatin to modulate transcription and control cell fate are poorly understood. Utilizing both loss-of-function and gain-of-function approaches, here we show that SWI/SNF complexes are preferentially targeted to distal enhancers and interact with p300 to regulate transcription via modulation of histone H3 lysine 27 acetylation. We identify a greater requirement for SWI/SNF at typical enhancers than at most super-enhancers and at enhancers in untranscribed regions than in transcribed regions. Our data further demonstrate that SWI/SNF-dependent distal enhancers are essential for controlling expression of genes linked to developmental processes. Our findings thus establish SWI/SNF complexes as regulators of the enhancer landscape and provide insight into the roles of SWI/SNF in cellular fate control. Overall design: RNA-seq in Mouse Embryonic Fibroblasts in WT condition and for knockouts of different SWI/SNF complex subunits.

Publication Title

The SWI/SNF chromatin remodelling complex is required for maintenance of lineage specific enhancers.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17301
The effect of IFN on human CD8 T cells_with other concomitant signals
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs.

Publication Title

Effects of IFN-α as a signal-3 cytokine on human naïve and antigen-experienced CD8(+) T cells.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP160510
Transcription-dependent control of stem cell self-renewal and differentiation by the splicing factor U2AF1
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon

Description

Purpose: Here we describe the modulation of a gene expression program involved in cell fate. Methods: We depleted U2AF1 in human induced pluripotent stem cells (hiPSCs) to the level found in differentiated cells using an inducible shRNA system, followed by high-throughput RNAseq, revealing a gene expression program involved in cell fate determination. Results: Approximately 85% of the total raw reads were mapped to the human genome sequence (GRCh37), giving an average of 200 million human reads per sample for total RNA and 15 million human reads per sample for small RNA libraries. Conclusions: Our results show that transcriptional control of gene expression in hiPSCs can be set by the CSF U2AF1, establishing a direct link between transcription and AS during cell fate determination. Overall design: hiPSCs were differentiated into the three germ layers following the described protocol in the study (Gifford et al., 2013).

Publication Title

The core spliceosomal factor U2AF1 controls cell-fate determination via the modulation of transcriptional networks.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP162020
Antiviral and anti-inflammatory properties of novel anti-HIV candidate ABX464 promotes specifics RNA splicing while preserving cellular RNA integrity.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used an assembly approach of HIV (YU2 strain) putative transcripts and human long non-coding sequences from paired-reads (2x75bp) captured on a NimbleGen SeqCap® EZ Developer Library (Roche/NimbleGen). Methods: Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal, followed by high-throughput RNAseq from custom SeqCap EZ capture libraries. Each raw dataset of the samples contained between 5 and 30 million paired-end reads (75 bp), with an average of approximately 12 million raw reads per sample. Results: The raw reads were then cleaned and assembled per library to generate contigs, giving an average of 930 contigs per sample for further analyses. Conclusions: Our results show that high-throughput analyses coupled with bioinformatics-specific tools offers a comprehensive and more accurate view of mRNA splicing within a cell. Overall design: We used buffy coats from HIV-negative individuals were obtained from the local blood donation center, then human peripheral blood mononuclear cells (PBMCs) were isolated by Ficoll (Histopaque, Sigma) gradient centrifugation. Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal.

Publication Title

Both anti-inflammatory and antiviral properties of novel drug candidate ABX464 are mediated by modulation of RNA splicing.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP066613
RNA-seq analysis of single cells of the oligodendrocyte lineage from nine distinct regions of the anterior-posterior and dorsal-ventral axis of the mouse juvenile central nervous system
  • organism-icon Mus musculus
  • sample-icon 6282 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

5069 transcriptomes of single oligodendrocyte cells from spinal cord, substantia nigra-ventral tegmental area, striatum, amygdala, hypothalamic nuclei, zona incerta, hippocampus, and somatosensory cortex of male and female mice between post-natal day 21 and 90. The study aimed at identifying diverse populations of oligodendrocytes, and revealing dynamics of oligodendrocyte maturation. Overall design: 5069 individual cells were sampled from CNS regions of mice of various strains as detailed in the protocols section

Publication Title

Oligodendrocyte heterogeneity in the mouse juvenile and adult central nervous system.

Sample Metadata Fields

Sex, Cell line, Treatment, Subject

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accession-icon GSE27648
Expression profile of Maize (Zea mays L.) Embryonic Axes During Germination: Regulation of Ribosomal Protein mRNAs.
  • organism-icon Zea mays
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Seed germination is a critical developmental process in plant propagation. Knowledge of the gene expression patterns in this critical process is important in order to understand the main biochemical reactions involved in successful germination, specially for economically relevant plants such as Maize.

Publication Title

Expression profile of maize (Zea mays L.) embryonic axes during germination: translational regulation of ribosomal protein mRNAs.

Sample Metadata Fields

Treatment, Time

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accession-icon GSE8646
The Hay Wells Syndrome-Derived TAp63alphaQ540L Mutant Has Impaired Transcriptional and Cell Growth Regulatory Activity
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

p63 mutations have been associated with several human hereditary disorders characterized by ectodermal dysplasia such as EEC syndrome, ADULT syndrome and AEC syndrome . The location and functional effects of the mutations that underlie these syndromes reveal a striking genotype-phenotype correlation. Unlike EEC and ADULT that result from missense mutations in the DNA-binding domain of p63, AEC is solely caused by missense mutations in the SAM domain of p63. We report a study on the TAp63a isoform, the first to be expressed during development of the embryonic epithelia, and on its naturally occurring Q540L mutant derived from an AEC patient. To assess the effects of the Q540L mutation, we generated stable cell lines expressing TAp63a wt, DeltaNp63 alpha or the TAp63 alpha-Q540L mutant protein and used them to systematically compare the cell growth regulatory activity of the mutant and wt p63 proteins and to generate, by microarray analysis, a comprehensive profile of differential gene expression. We found that the Q540L substitution impairs the transcriptional activity of TAp63a and causes misregulation of genes involved in the control of cell growth and epidermal differentiation.

Publication Title

The Hay Wells syndrome-derived TAp63alphaQ540L mutant has impaired transcriptional and cell growth regulatory activity.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064952
Transcriptomics of adult human small bowel grafts
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Objective: the objective of this work was to determine different gene expression patterns in small bowel grafts biopsies with “minimal changes” histology that could identify patients with high rejection risk Methods: 24 samples (17 stable and 7 non stable grafts) from 8 adult patients with small bowel transplantation were included for RNA-Sequencing.Total RNA extracted from intestinal biopsies was used with the TruSeq RNA Sample Preparation v2 Kit to construct index-tagged cDNA libraries. Libraries were sequenced on the Genome Analyzer IIx following the standard RNA sequencing protocol with the TruSeq SBS Kit v5. Fastq files containing reads for each library were extracted and demultiplexed using Casava v1.8.2 pipeline. Sequencing adapter contaminations were removed from reads using Cutadapt software v1.6 and the resulting reads were aligned to the reference human genome (Ensembl gene-build GRCh37.75) using TopHat2 v2.0.13. Gene expression values were calculated as counts using HTSeq v0.6.1. Only genes with at least 1 count per million in all samples were considered for statistical analysis. Data were then normalized and differential expression tested using the R Bioconductor package edgeR. We selected all biopsies from 4 of the patients (18 biopsies, 11 stable and 7 non stable) as the discovery set. The other 6 biopsies from 4 patients (all stable) were used as the test set. Differences in the discovery set were tested by generalized linear model analysis,and results were considered significant when the Benjamini-Hochberg adjusted p-value was < 0,05. Results: We obtained 816 differentially expressed genes (DEGs) between stable and non stable biopsies in the discovery set: 369 upregulated and 447 downregulated in the non stable group. The classification and prediction with the Nearest Shrunken Centroids method identified 5 genes (ADH1C, CYP4F2, PDZK1, SLC39A4 and OPTN) from the 816 DEGs that could classify both groups with an error rate of 11% and classified correctly all samples from the test set. These results were confirmed by Supoprted Vector Machine (SVM), bagSVM and Random Forest methods, showing high accuracy, sensitivity and specificity. Conclusions: We identified 5 genes from the DEGs as possible biomarkers to classify patients with normal histology that could be however in a higher risk of rejection. In this way, gene expression assays are powerful tools with high sensitivity that allow more accurate diagnosis. Overall design: The study included 24 samples from 8 adult patients with small bowel transplantation. Samples correspond to RNA extracted from intestinal biopsies obtained at different post-transplantation time. All biopsies have an histological diagnosis of "minimal changes" and they were classified in two groups according their immunological stability (stable and non stable). Stable group comprised biopsies of patients that never rejected and biopsies obtained at least 15 days after rejection if no other rejection episode occurred in at least the next six months. Non stable group included biopsies obtained between rejection episodes (separated less than six months) and also those biopsies collected within the 15 days before the first rejection episode.

Publication Title

5-gene differential expression predicts stability of human intestinal allografts.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2852
Ochratoxin A study on rat liver and kidney gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Ochratoxin A gene expression profiling in liver and kidney, with time points of exposure from 7 days to 12 motnhs

Publication Title

A toxicogenomics approach to identify new plausible epigenetic mechanisms of ochratoxin a carcinogenicity in rat.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34027
EWS TC-71 cell lines: IGF-1R resistant
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ewing's Sarcoma cell lines were made resistant to different IGF-1R drugs to investigate mechanisms and pathways modulated by the resistance.

Publication Title

Identification of common and distinctive mechanisms of resistance to different anti-IGF-IR agents in Ewing's sarcoma.

Sample Metadata Fields

Cell line

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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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