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accession-icon GSE54597
Dose-response modeling of early molecular and cellular key events in CAR-mediated hepatocarcinogenesis pathway
  • organism-icon Mus musculus
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Male and female CD-1 mice were administered dietary Phenobarbital for 2 or 7 days. In-life, enzyme activity, cell proliferation, genomic analysis, and Bench-mark dose modeling was carried out.

Publication Title

Dose-response modeling of early molecular and cellular key events in the CAR-mediated hepatocarcinogenesis pathway.

Alternate Accession IDs

E-GEOD-54597

Sample Metadata Fields

Specimen part

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accession-icon SRP078976
Novel KDM1A inhibitors induce differentiation and apoptosis of glioma stem cells via unfolded protein response (UPR) pathway
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We examined the transcriptional changes modulated by KDM1A inhibitor NCD-38 by performing global transcriptome analysis. Glioma Stem Cells (GSC10) were treated with either vehicle or NCD-38 for 24 h and the isolated RNA was utilized for RNA-seq analysis. Our results demonstrated that NCD-38 modulated several genes that are involved in unfolded protein response, endoplasmic reticulum stress pathway and NRF-2 mediated oxidative stress response. Overall design: Total RNA was isolated from the GSC10 cells that were treated with vehicle or NCD-38 for 24 hours. Illumina TruSeq RNA Sample Preparation was performed following manufacturer''s protocol. Samples were run on an Illumina HiSeq 2000 in duplicate. The combined raw reads were aligned to UCSC hg19 and genes were annotated by Tophat. Genes were annotated and quantified by HTSeq-DESeq pipeline.

Publication Title

Novel KDM1A inhibitors induce differentiation and apoptosis of glioma stem cells via unfolded protein response pathway.

Alternate Accession IDs

GSE84603

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE6808
HRI Protects Erythroid Precursors in iron deficiency and beta-Thalassemia by Maintaining GATA-1 and Fog-1 Expression
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Heme-regulated eIF2 kinase (HRI) is essential for the survival of erythroid precursors in iron and heme deficiency and it also plays a protective role in red blood cell diseases of erythroid protoporphyria and -thalassemia. In this study, we demonstrated for the first time the impairment of GATA-1 and Fog-1 expressions in iron deficiency and the impairment of GATA-1 expression in -thalassemia. Furthermore, HRI is necessary to maintain the GATA-1/Fog-1 induced functions in erythroid differentiation, cell cycle and cell survival by sustaining both expressions of GATA-1 and Fog-1 in iron deficiency and in -thalassemia.

Publication Title

Haem-regulated eIF2alpha kinase is necessary for adaptive gene expression in erythroid precursors under the stress of iron deficiency.

Alternate Accession IDs

E-GEOD-6808

Sample Metadata Fields

Specimen part

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accession-icon GSE26637
Adipose tissue transcriptome in insulin resistance
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

5 arrays from obese insulin-resistant and lean insulin-sensitive females adipose tissue at fasting and after 3h hyperinsulinemia

Publication Title

Adipose tissue gene expression analysis reveals changes in inflammatory, mitochondrial respiratory and lipid metabolic pathways in obese insulin-resistant subjects.

Alternate Accession IDs

E-GEOD-26637

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE8700
Expression data from epididymal fat tissues of diet induced obese rats
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Analysis of gene expression profiles of epididymal fat from DIO rats

Publication Title

Assessment of diet-induced obese rats as an obesity model by comparative functional genomics.

Alternate Accession IDs

E-GEOD-8700

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE108047
Gene expression data from fetal human liver cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the biological potential of fetal stem/progenitor cells will help define mechanisms in liver development and homeostasis. We isolated epithelial fetal human liver cells and established phenotype-specific changes in gene expression during continuous culture conditions. Fetal human liver epithelial cells displayed stem cell properties with multilineage gene expression, extensive proliferation and generation of mesenchymal lineage cells, although the initial epithelial phenotype was rapidly supplanted by meso-endodermal phenotype in culture. This meso-endodermal phenotype was genetically regulated through cytokine signaling, including transforming growth factor-b, bone morphogenetic protein, fibroblast growth factors, and other signaling pathways. Reactivation of HNF-3a (FOXA1) transcription factor, a driver of hepatic specification in the primitive endoderm, indicated that the meso-endodermal phenotype represented an earlier developmental stage of cells. We found that fetal liver epithelial cells formed mature hepatocytes in vivo, including after genetic manipulation using lentiviral vectors, offering convenient assays for analysis of further cell differentiation and fate. Taken together, these studies demonstrated plasticity in fetal liver epithelial stem/progenitor cells, offered paradigms for defining mechanisms regulating lineage switching in stem/progenitor cells, and provided potential avenues for regulating cell phenotypes for applications of stem/progenitor cells, such as for cell therapy.

Publication Title

Phenotype reversion in fetal human liver epithelial cells identifies the role of an intermediate meso-endodermal stage before hepatic maturation.

Alternate Accession IDs

E-GEOD-108047

Sample Metadata Fields

Specimen part

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accession-icon SRP126246
Single-cell transcriptome profiling during the in vitro differentiation of mouse ESCs (mESCs) into epiblast-like cells (EpiLCs).
  • organism-icon Mus musculus
  • sample-icon 129 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed single-cell RNA sequencing (RNA-seq) during the in vitro transition of mouse ESCs (mESCs) from a naïve pluripotent state into epiblast-like cells (EpiLCs), a primed pluripotent state. We derived pseudotime expression trajectories to investigate transcript dynamics of key metabolic regulators, with the aim to identify metabolic pathways that potentially impact on early embryonic cell state transitions. Overall design: Single-cell RNA-seq during the in vitro differentiation of mouse embryonic stem cells (ESCs) in 2i culture conditions (time point t=0h) into epiblast-like cells (EpiLCs) at time points t=24h and t=48h.

Publication Title

Metabolic regulation of pluripotency and germ cell fate through α-ketoglutarate.

Alternate Accession IDs

GSE107761

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP136553
Regulation of lineage segregation, pluripotency and X chromosome inactivation in the pig revealed by scRNA-Seq
  • organism-icon Sus scrofa
  • sample-icon 208 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

we report single cell expression profiles of embryonic cells (from day 5 to 11) of pig embryo development. Overall design: single cell transcriptomes were generated from 220 cells obtained from 28 embryos (15 male and 13 female)

Publication Title

Pluripotency and X chromosome dynamics revealed in pig pre-gastrulating embryos by single cell analysis.

Alternate Accession IDs

GSE112380

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP091453
Lymphocyte activation gene3 and coronary artery disease.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Purpose: Utilized Next-generation sequencing (NGS) to profile transcriptional differences between two populations, carriers (CC) of rs10846744 SNP associated with cardiovascular disease (CVD) and non-carriers (GG) who are disease free. Methods: Total RNA was isolated from three subjects homozygous for the rs10846744 reference (GG) allele and three subjects homozygous for the rs10846744 risk (CC) allele and then subjected to full transcriptome sequencing using the Perkin Elmer next gen sequencing platform (Perkin Elmer, Branford, CT). Bioinformatics was performed using Perkin Elmer GeneSifter software program. The data was adjusted by selecting total map reads, quality reads >20, log transformation, and using Benjamini Hochberg to correct for multiple testing. RNA targets of interest were validated by qRT–PCR using TaqMan assays and western blotting using standard methodologies. Results: Using Perkin Elmer''s Genesifter Analysis Edition Software, we mapped about 100 million sequence reads per sample to the human genome (build 37.2), normalized the raw read count by total mapped million reads and identified 937 upregulated and 587 downregulated transcripts in the EBV (Epstein Barr Virus)-transformed B lymphocyte cells isolated from 3 carriers of the risk (CC) allele and 3 non-carriers of the (GG) reference allele with BWA workflow. RNA-seq data confirmed differential expression of LAG3 and this was validated with qRT–PCR. Conclusions: Our study represents the first detailed analysis of differential LAG3 expression, contributing to CVD, with biologic replicates, generated by RNA-seq technology. Overall design: mRNA transcriptional profiles from EBV (Epstein Barr Virus)-transformed B lymphocyte cells, isolated from 3 carriers of the risk (CC) allele and 3 non-carriers of the (GG) reference allele, were generated by deep sequencing, in triplicate, using Illumina platform technology.

Publication Title

Lymphocyte activation gene 3 and coronary artery disease.

Alternate Accession IDs

GSE87891

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP096016
Germline competency of human embryonic stem cells depends on eomesodermin
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

In humans, germline competency and the specification of primordial germ cells (PGCs) are thought to occur in a restricted developmental window during early embryogenesis. Despite the importance of specifying the appropriate number of PGCs for human reproduction, the molecular mechanisms governing PGC formation remain largely unexplored. Here, we compared PGC-like cell (PGCLC) differentiation from 18 independently derived human embryonic stem cell (hESC) lines, and discovered that the expression of primitive streak genes were positively associated with hESC germline competency. Furthermore, we show that chemical inhibition of TGFß and WNT signaling, which are required for primitive streak formation and CRISPR/Cas9 deletion of Eomesodermin (EOMES), significantly impacts PGCLC differentiation from hESCs. Taken together, our results suggest that human PGC formation involves signaling and transcriptional programs associated with somatic germ layer induction and expression of EOMES. Overall design: There are 91 RNAseq samples in total.

Publication Title

Germline competency of human embryonic stem cells depends on eomesodermin.

Alternate Accession IDs

GSE93126

Sample Metadata Fields

Specimen part, Subject

View Samples
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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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