refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1223 results
Sort by

Filters

Technology

Platform

accession-icon SRP011054
iCLIP analysis of EZH2-interacting RNAs
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

RNAs directly interacting with EZH2 were isolated from human colorectal HCT116 cells using an in vivo crosslinking and immunoprecipitation strategy (iCLIP, König J et al, Nat Struct Mol Biol 2010) coupled to an ultrasequencing approach. Overall design: RIP sequencing for 1 Human sample

Publication Title

Intronic RNAs mediate EZH2 regulation of epigenetic targets.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE20286
Gene expression profiles induced by knockdown and overexpression of p63 variants in MCF-10A mammary epithelial cell line
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

p63 is critical for epithelial development yet little is known about the transcriptional programmes it regulates. The p63 transactivating (TA) isoforms contain an amino-terminal exon that encodes a p53-like transactivation domain, whereas N-isoforms lack this domain but contain the common DNA binding domain (DBD), suggesting that TAp63 and Np63 isoforms may have opposing functions. By characterising transcriptional changes and cellular effects following modulation of p63 expression, we have defined a vital role for p63 in cellular adhesion. Knockdown of p63 expression caused downregulation of cell adhesion-associated genes, cell detachment and anoikis in mammary epithelial cells and keratinocytes. Conversely, overexpression of the TAp63 or Np63 isoforms of p63 upregulated cell adhesion molecules, increased cellular adhesion and conferred resistance to anoikis.

Publication Title

p63 regulates an adhesion programme and cell survival in epithelial cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE94867
Impact of short-term high fat diet regimen on hepatic transcriptome
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to unveil the gene expression alterations upon short-term HFD administration

Publication Title

Dietary alterations modulate susceptibility to Plasmodium infection.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE17385
Gene expression profiling from MM1.S cells with control or beta-catenin knockdown.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MM1.S cells stably transduced with control or b-catenin shRNA were established. Total RNA was isolated from 5x 10^6 cells of each in triplicate.

Publication Title

Aurora kinase A is a target of Wnt/beta-catenin involved in multiple myeloma disease progression.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE2473
Small RNA biogenesis mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Inflorescence stages 1 to 12 from mutants involved in Arabidopsis small RNA metabolism. Three biological replicates of each mutant comprising at least 9 independent plants were harvested, and the expression profiles were determined using Affymetrix ATH1 arrays. Comparisons among the sample groups allow the identification of genes regulated by small RNAs (microRNAs and siRNAs).

Publication Title

microRNA-directed phasing during trans-acting siRNA biogenesis in plants.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26147
Examination of inflammatory transcripts during a transfer model of type I diabetes.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In an accompanying paper we found specific localization of diabetogenic T cells only to islets of Langerhans bearing the specific antigen. Instrumental in the specific localization was the presence of intra-islet dendritic cells bearing the -cell-peptide-MHC complex. Here we report that the entry of diabetogenic CD4 T cells very rapidly triggered inflammatory gene expression changes in islets and vessels by up-regulating chemokines and adhesion molecules. VCAM-1 expression was notable in blood vessels and so was ICAM-1. ICAM-1 was also found on -cells. These expression changes induced the entry of non-specific T cells that otherwise did not localize to the islets. In contrast to the entry of diabetogenic CD4 T cells, the entrance of non-specific T cells required a chemokine response and VCAM-1 expression by the islets. Interferon-gamma was important for the early gene expression changes in the islets. By microarray analysis we detected up-regulation of a group of interferon-inducible genes as early as 8 hours post T cell transfer. These studies provide a baseline to examine the development of therapeutics that can modulate islet localization of diabetogenic T cells to control this autoimmune disease.

Publication Title

Entry of diabetogenic T cells into islets induces changes that lead to amplification of the cellular response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE93261
Transcriptome analysis of Follicular Lymphomas from the PRIMABIO cohort
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We investigated the biological features of FL and their relationship to patients outcome. Gene expression analysis was carried out on diagnosis biopsies from 148 follicular lymphoma patients enrolled in the PRIMA clinical trial. We developed a gene expression-based predictor of progression-free survival (PFS) in high-tumour burden FL patients and we analysed gene-expression signatures reflecting different aspects of tumour biology for their association with outcome. proposition SH: We investigated the biological features of FL and their relationship to patients outcome. Gene expression analysis was carried out on diagnosis biopsies from 148 follicular lymphoma patients enrolled in the PRIMA clinical trial. We developed a gene expression-based predictor of progression-free survival (PFS) in high-tumour burden FL patients and we analysed gene-expression signatures reflecting different aspects of tumour biology for their association with outcome.

Publication Title

A gene-expression profiling score for prediction of outcome in patients with follicular lymphoma: a retrospective training and validation analysis in three international cohorts.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE41203
Transcriptional analysis of type 1 diabetes reveals an interferon signature that precedes T cell activation
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Type 1 diabetes (T1D) is an autoimmune disease triggered by T cell reactivity to protein antigens produced by the -cells. Here we present a chronological compendium of transcriptional profiles from islets of Langerhans isolated from non-obese diabetic (NOD) mice ranging from 2 wks up to diabetes and compared to controls. Parallel analysis was made of cellular components of the islets. Myeloid cells populated the islets early during development in all mouse strains. This was followed by a type I interferon signature detectable at 4-6 wks of age only in diabetes susceptible mice. Concurrently, CD4 T cells were found within islets, many in contact with intra-islet antigen presenting cells. Early cellular signs of islet reactivity were detected by six wks. By 8 wks, NOD islets contained all major leukocytes populations and an inflammatory gene signature. This work establishes the natural transcriptional signature of T1D and provides a resource for future research.

Publication Title

Defining the transcriptional and cellular landscape of type 1 diabetes in the NOD mouse.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP177951
RNAseq for finding splicing events in Arabidopsis prefoldin and lsm8 mutants in different environmental conditions
  • organism-icon Arabidopsis thaliana
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This GEO submission includes RNAseq raw data (fastq) and processed data (using ASpli 1.6.0) from samples obtained in the wild type and the single prefoldin4 and lsm8 mutants in three different environmental conditions as well as in the triple prefoldin2 prefoldin4 prefoldin6 mutant growth in standard conditions. Overall design: 28 biological samples from 10 different conditions and genopypes, including the Col-0 WT in each condition (standard, cold and salt conditions)

Publication Title

Prefoldins contribute to maintaining the levels of the spliceosome LSM2-8 complex through Hsp90 in Arabidopsis.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE16363
Microarray Analysis of Lymphatic Tissue Reveals Stage-Specific, Gene-Expression Signatures in HIV-1 Infection
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Untreated HIV-1 infection progresses through acute and asymptomatic stages to AIDS. While each of the three stages has well-known clinical, virologic and immunological characteristics, much less is known of the molecular mechanisms underlying each stage. Here we report lymphatic tissue microarray analyses revealing for the first time stage-specific patterns of gene expression during HIV-1 infection. We show that while there is a common set of key genes with altered expression throughout all stages, each stage has a unique gene-expression signature. The acute stage is most notably characterized by increased expression of hundreds of genes involved in immune activation, innate immune defenses (e.g.MDA-5, TLR-7 and -8, PKR, APOBEC3B, 3F, 3G), adaptive immunity, and in the pro-apoptotic Fas-Fas-L pathway. Yet, quite strikingly, the expression of nearly all acute-stage genes return to baseline levels in the asymptomatic stage, accompanying partial control of infection. In the AIDS stage, decreased expression of numerous genes involved in T cell signaling identifies genes contributing to T cell dysfunction. These common and stage-specific, gene-expression signatures provide new insights into the molecular mechanisms underlying the host response and the slow, natural course of HIV-1 infection.

Publication Title

Microarray analysis of lymphatic tissue reveals stage-specific, gene expression signatures in HIV-1 infection.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Race, Subject

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact