refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1088 results
Sort by

Filters

Technology

Platform

accession-icon GSE38517
Expression data from fibroblasts derived from human normal oral mucosa, oral dysplasia and oral squamous cell carcinoma
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of genes that are differentially regulated in fibroblasts derived from dysplastic oral mucosa and oral squamous cell carcinoma compared to fibroblasts derived from normal oral mucosa.

Publication Title

Identification of two distinct carcinoma-associated fibroblast subtypes with differential tumor-promoting abilities in oral squamous cell carcinoma.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE67158
Eomes+ natural Th1 (nTh1) T cells share functional features with classical Th1 (cTh1) cells.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Identification of intrathymic Eomes+ natural Th1 cells creates a novel idea that there is more than one way for the generation of innate CD4 T cells. To more deeply characterize this type of innate T cells, we compared the gene expression profile between nTh1 cells generated in CIITAtg mice and classic Th1 cells differentiated from naive CD4 T cells in Th1-polarizing condition.

Publication Title

Thymic low affinity/avidity interaction selects natural Th1 cells.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE85258
Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is unknown if gene expression profiles from primary RCC tumors differ from patient-matched metastatic tumors. Thus, we sought to identify differentially expressed genes between patient-matched primary and metastatic RCC tumors in order to understand the molecular mechanisms underlying the development of RCC metastases.

Publication Title

Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE44671
Wound response in fs-THz-irradiated mouse skin
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Terahertz (THz) technology has emerged for biomedical applications such as scanning, molecular spectroscopy, and medical imaging. However, the biological effect of THz radiation is not fully understood. Non-thermal effects of THz radiation were investigated by applying a femtosecond-terahertz (fs-THz) pulse to mouse skin. Analysis of the genome-wide expression profile in fs-THz-irradiated skin indicated that wound responses were predominantly through NFB1- and Smad3/4-mediated transcriptional activation. Repeated fs-THz radiation delayed the closure of mouse skin punch wounds due to up-regulation of transforming growth factor-beta (TGF-). These findings suggest that fs-THz radiation provokes a wound-like signal in skin with increased expression of TGF- and activation of its downstream target genes, which perturbs the wound healing process in vivo.

Publication Title

High-power femtosecond-terahertz pulse induces a wound response in mouse skin.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP039604
Pri-miRNA identification by generating a Drosha null/conditional-null mouse model.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the ability of the Drosha null/conditional-null mouse model to enable the identification of pri-miRNA transcripts. The conditional-null allele of Drosha phenocopies the null allele both in mESC and in mice, upon conversion to the null state with Cre. Overall design: Examination of the effects of Drosha deficiency in mouse embryonic stem cells.

Publication Title

microTSS: accurate microRNA transcription start site identification reveals a significant number of divergent pri-miRNAs.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE67087
Gene expression profiling of the palate in Erk2 mutant mouse models
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The overall goal of this project is to investigate the role of Erk2-mediated signaling in regulating the cellular metabolism of cranial neural crest (CNC) cells during palate development. Here, we conducted gene expression profiling of palate tissue from wild type mice as well as those with a neural crest specific conditional inactivation of the Erk2 gene. The latter mice exhibit micrognathia, tongue defects and cleft palate, which is among the most common congenital birth defects and observed in many syndromic conditions.

Publication Title

Disruption of the ERK/MAPK pathway in neural crest cells as a potential cause of Pierre Robin sequence.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP051472
Induction of circular RNA in fetal heart development recapitulated in in vitro differentiation
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We discovered induction of circular RNA in human fetal tissues, including the heart. In this study, we were able to recapitulate this induction by in vitro directed differentiation of hESCs to cardiomyocytes, paving the way for future studies into circular RNA regulation. Overall design: We harvested hESCs at sequential stages of differentiation: undifferentiated (day 0), mesoderm (day 2), cardiac progenitor (day 5) and definitive cardiomyocyte (day 14). We performed RNA sequencing in biological triplicate, with 3-8 technical replicates each.

Publication Title

Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP051249
Tissue-specific circular RNA induction during human fetal development
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The pervasive expression of circular RNA from protein coding loci is a recently discovered feature of many eukaryotic gene expression programs. Computational methods to discover and quantify circular RNA are essential to the study of the mechanisms of circular RNA biogenesis and potential functional roles they may play. In this paper, we present a new statistical algorithm that increases the sensitivity and specificity of circular RNA detection.by discovering and quantifying circular and linear RNA splicing events at both annotated exon boundaries and in un-annotated regions of the genome Unlike previous approaches which rely on heuristics like read count and homology between exons predicted to be circularized to determine confidence in prediction of circular RNA expression, our algorithm is a statistical approach. We have used this algorithm to discover general induction of circular RNAs in many tissues during human fetal development. We find that some regions of the brain show marked enrichment for genes where circular RNA is the dominant isoform. Beyond this global trend, specific circular RNAs are tissue specifically induced during fetal development, including a circular isoform of NCX1 in the developing fetal heart that, by 20 weeks, is more highly expressed than the linear isoform as well as beta-actin. In addition, while the vast majority of circular RNA production occurs at canonical U2 (major spliceosome) splice sites, we find the first examples of developmentally induced circular RNAs processed by the U12 (minor) spliceosome, and an enriched propensity of U12 donors to splice into circular RNA at un-annotated, rather than annotated, exons. Together, our algorithm and its results suggest a potentially significant role for circular RNA in human development. Overall design: 35 human fetal samples from 6 tissues (3 - 7 replicates per tissue) collected between 10 and 20 weeks gestational time were sequenced using Illumina TruSeq Stranded Total RNA with Ribo-Zero Gold sample prep kit.

Publication Title

Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP187955
Gene expression profile during senescence induced by LSG1 knockdown
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

In the present study, we analyze the effect of knocking down LSG1 and KRas(V12D) overexpression in MRC5 cells in the transcriptome using Ampliseq RNA sequencig. We observed that shLSG1 induced a potent senescence response that is characterized by the activation of ER-Stress and cholesterol biosynthetic pathway Overall design: MRC5 were transfected with siRNA to knockdown the small GTPase LSG1. Total mRNA was extracted and expression profiles were analyzed.

Publication Title

Inhibition of the 60S ribosome biogenesis GTPase LSG1 causes endoplasmic reticular disruption and cellular senescence.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP181663
Next Generation Sequencing Quantitative Analysis of HepG2, hyper-glycolytic model cell, oxamate treated cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To determine the genes potentially responsible for the lactate-mediated gene expression regulation in hepatocellular carcinoma, we performed RNA-seq analyses on parental HepG2, HepG2/metR and oxamate-treated HepG2/metR cells. To gain mechanistic insights into the lactate-induced pro-migratory phenotypes, we established a cell model that acquired a resistance to metformin while producing lactate at a high level by selecting HepG2 cells that survived a chronic exposure to metformin for more than 5 months (HepG2/metR). In HepG2/metR cells, glycolysis rates were increased by more than 3 folds compared with parental cells, and consequently, lactate production was also highly enhanced. To clarify the gene expression regulation between the lactate level in the HepG2/metR model, we treated the cells with oxamate, an inhibitor of lactate dehydrogenase, and found that it significantly. Using a 2-fold change cut-off value in transcriptome, we selected 1,757 genes significantly up-regulated in HepG2/metR vs parental HepG2 cells. 690 genes were down-regulated by oxamate treatment in HepG2/metR cells. Eventually, we selected 136 genes that are common in the two gene sets, which may directly respond to lactate signaling Overall design: mRNA profiles of HepG2 cells, HepG2/metR (hyper-glycolytic cell model), oxamate treated HepG2/metR (decreased lactate concentration cell) were generated by deep sequencing using Illumina Nextseq 500

Publication Title

Lactate Activates the E2F Pathway to Promote Cell Motility by Up-Regulating Microtubule Modulating Genes.

Sample Metadata Fields

Specimen part, Cell line, Treatment, 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