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accession-icon GSE28237
T cell dependent immune responses: B cell activation and differentiation Group1 Fo, Group2 GC1, Group3 GC2
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared.

Publication Title

In silico subtraction approach reveals a close lineage relationship between follicular dendritic cells and BP3(hi) stromal cells isolated from SCID mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP158538
Transcriptomic analysis of wild type and Nr4a1-/- adipose progenitors.
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The project aims to identify differentially expressed genes in adipose progenitors that were freshly isolated from wild-type or Nr4a1-/- mice. The AP preparation involved adipose tissue digestion, and negative selection of the stromal vascular fraction (depletion of CD31+ endothelial cells and Lineage positive cells. Overall design: 16 samples were anlyzed. 4 groups of adipose progenitors were isolated from subcutaneou(SAT) and visceral (VAT) adipose tissue from Nr4a1 wildtype(Nr4a1+/+) and knockout(Nr4a1-/-) mice. Each group has 4 biological replicates.

Publication Title

Targeting nuclear receptor NR4A1-dependent adipocyte progenitor quiescence promotes metabolic adaptation to obesity.

Sample Metadata Fields

Subject

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accession-icon GSE118876
Comparision of gene expression in adipose progenitors(AP) relative to adipose tissue(AT)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To identify of candidate transcriptional regulators of AP function, microarray was utilized to analyze gene expression in freshly isolated AP from stromal-vascular fractions relative to whole adipose tissue (AT) from the same mouse.

Publication Title

Targeting nuclear receptor NR4A1-dependent adipocyte progenitor quiescence promotes metabolic adaptation to obesity.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP131959
Single-Cell RNA Sequencing Reveals Metallothionein Heterogeneity during hESC Differentiation to Definitive Endoderm [scRNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 318 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Differentiation of human pluripotent stem cells toward definitive endoderm (DE) is the critical first step for generating cells comprising organs such as the gut, liver, pancreas and lung. This in-vitro differentiation process generates a heterogeneous population with a proportion of cells failing to differentiate properly and maintaining expression of pluripotency factors such as Oct4. RNA-sequencing of single cells collected at four time points during a 4-day DE differentiation identified high expression of metallothionein genes in the residual Oct4-positive cells that failed to differentiate to DE. Using X-ray fluorescence microscopy and multi-isotope mass spectrometry, we discovered that high intracellular zinc level corresponds with persistent Oct4 expression and failure to differentiate. We further show that differentiation-arrested phenotype is inversely correlated with zinc concentration in the differentiation media. This study improves our understanding of in-vitro DE differentiation and provides actionable options to improve DE differentiation efficiency. Overall design: RNA-sequencing of 329 single cells collected at four time points during a 4-day DE differentiation to identify mechanisms leading to cellular heterogeneity during differentiation

Publication Title

Single-cell RNA sequencing reveals metallothionein heterogeneity during hESC differentiation to definitive endoderm.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon E-MTAB-375
Transcription profiling by array of Arabidopsis after exposure to different temperatures and light levels
  • organism-icon Arabidopsis thaliana
  • sample-icon 175 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

High-density kinetic analysis of the metabolomic and transcriptomic response of Arabidopsis to temperature and light

Publication Title

High-density kinetic analysis of the metabolomic and transcriptomic response of Arabidopsis to eight environmental conditions.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP014579
Braveheart is a long non-coding RNA necessary for cardiac lineage commitment
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer IIx, Illumina Genome Analyzer II

Description

Purpose: Long non-coding RNAs (lncRNAs) display development-specific gene expression patterns, yet we know little about their precise roles in lineage commitment. Here, we discover a novel mammalian heart-associated lncRNA, AK143260, necessary for cardiac lineage specification. Methods: Gene expression profiles of mouse ESCs and differentiated organs were analyzed for master regulators of lineage commitment. The AK143260 transcript was shown to be strongly expressed in mESCs and in cells undergoing cardiac differentiation. Its role in cardiac differentiation was examined using depletion and in vitro differentiation systems, with morphological and gene expression profiling at different time-points. Results: mESCs depleted of AK143260, named Braveheart, fail to differentiate into cardiomyocytes and to activate a core cardiac gene regulatory network including key transcription factors driving cardiogenesis. We show that Braveheart functions upstream of MesP1 (mesoderm posterior 1), a transcription factor critical for specification of the earliest known multi-potent cardiovascular progenitor and in promoting epithelial-mesenchymal transition (EMT). Consistent with this, Braveheart depletion leads to morphological defects and loss of cardiogenic potential in a defined in vitro cardiomyocyte differentiation system. Furthermore, Braveheart is necessary to maintain myocardial gene expression and myofibril organization in neonatal cardiomyocytes. Conclusions: These findings reveal that Braveheart is an important regulator of cardiac commitment and implicate lncRNAs as potential therapeutic targets for cardiac disease and regeneration. Overall design: Gene expression profiles from control and Bravheart-depleted mESCs were obtained by RNA-Seq on an Illumina HiSeq2000 instruments at Days 0,3,6 and 9. Gene expression profiles from mESCs, MEFs, partially reprogrammed MEFs and miPS cells were obtained by RNA-Seq on Illumina GAII/GAIIx instruments.

Publication Title

Braveheart, a long noncoding RNA required for cardiovascular lineage commitment.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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accession-icon GSE14325
Malignant Fibrous Histiocytoma - Pleomorphic Sarcoma, NOS -Gene expression, Histology and clinical course -A pilot study
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This study was performed to identify gene expression differences in not otherwise specified soft tissue sarcomas (NOS, malignant fibrous histiocytomas) and correlate them to histological findings and the clinical course. RNA was isolated and differential gene expression was analysed by the microarray technique.

Publication Title

Malignant fibrous histiocytoma--pleomorphic sarcoma, NOS gene expression, histology, and clinical course. A pilot study.

Sample Metadata Fields

Sex

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accession-icon GSE79598
Expression data from H9 human embryonic stem cells (hESCs) infected with either lentiviral non-silencing shRNA or shRUNX1, and differentiated to early mesendoderm
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We used microarrays to detail the global program of gene expression during early hESC differentiation to mesendoderm using FBS, with and without RUNX1 depletion.

Publication Title

Transient RUNX1 Expression during Early Mesendodermal Differentiation of hESCs Promotes Epithelial to Mesenchymal Transition through TGFB2 Signaling.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP066387
Histone H3 lysine 4 acetylation-methylation dynamics define breast cancer subtypes [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

The onset and progression of breast cancer are linked to genetic and epigenetic changes that alter the normal programming of cells. Epigenetic modifications of DNA and histones contribute to chromatin structure that results in the activation or repression of gene expression. Several epigenetic pathways have been shown to be highly deregulated in cancer cells. Targeting specific histone modifications represents a viable strategy to prevent oncogenic transformation, tumor growth or metastasis. Methylation of histone H3 lysine 4 has been extensively studied and shown to mark genes for expression; however this residue can also be acetylated and the specific function of this alteration is less well known. To define the relative roles of histone H3 methylation (H3K4me3) and acetylation (H3K4ac) in breast cancer, we determined genomic regions enriched for both marks in normal-like (MCF10A), transformed (MCF7) and metastatic (MDA-MB-231) cells using a genome-wide ChIP-Seq approach. Our data revealed a genome-wide gain of H3K4ac associated with both early and late breast cancer cell phenotypes, while gain of H3K4me3 was predominantly associated with late stage cancer cells. Enrichment of H3K4ac was overrepresented at promoters of genes associated with cancer-related phenotypic traits, such as estrogen response and epithelial-to-mesenchymal transition pathways. Our findings highlight an important role for H3K4ac in predicting epigenetic changes associated with early stages of transformation. In addition, our data provide a valuable resource for understanding epigenetic signatures that correlate with known breast cancer-associated oncogenic pathways. Overall design: RNA-Seq of cell lines MCF10A, MCF7 and MDA-MB-231.

Publication Title

Histone H3 lysine 4 acetylation and methylation dynamics define breast cancer subtypes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE54014
Genomic occupancy of Runx2 with global expression profiling identifies a novel dimension to the control of osteoblastogenesis
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic occupancy of Runx2 with global expression profiling identifies a novel dimension to control of osteoblastogenesis.

Sample Metadata Fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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