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accession-icon SRP058743
Genome wide study of the cross talk between GR and PPARA
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

The goal of this study was to asses genome wide cross talk between Glucocorticoid Receptor (GR) and Peroxisome Proliferator Activated Receptor Alpha (PPARA) on the level of DNA binding (ChIP-seq) and gene expression (RNA-seq) in primary mouse hepatocytes.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon ERP000702
Transcriptome characterization through comparative genome-wide analysis of nuclear RNA and RNAPII association in erythroid cells
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

Current evidence suggests that more than half of the mammalian genome is transcribed, yet how this vast transcriptome is regulated in vivo remains poorly understood. We demonstrate here an integrated, straightforward and widely applicable approach to characterize cell type-specific transcriptional programs and regulatory mechanisms by generating two genome-wide data sets. We used deep sequencing of nuclear RNA (nucRNA-Seq) to comprehensively describe the nuclear transcriptome in ex vivo murine erythroid cells. In parallel, we generated a profile of active RNA polymerase II (RNAPII) binding by chromatin-immunoprecipitation (ChIP-Seq), allowing us to explore the relationship between RNAPII occupancy and transcriptional output in erythroid cells on a genome-wide scale. Comparative analysis of both data sets enables us to not only measure primary transcriptional output and identify genes associated with more efficient polymerase usage, but also to identify putative regulatory elements such as enhancers and novel non-coding transcripts. Application of this method to different cell types allows for the characterization of important aspects of gene regulation in a cell type-specific manner. Our findings demonstrate the complex ways in which RNAPII is associated with the genome and how this affects transcription of target genes, highlighting the importance of approaching transcriptome characterization from multiple angles.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP168448
Mus musculus Genome sequencing
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

The expression of lncRNAs in the hypothalamic neuronal stem cells of young mice and aged mice.The expression pattern of mRNAs in the hypothalamic neuronal stem cells of aged Hnscr null mice and littermate wild-type mice.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon SRP089840
Transcriptome of hair follicle epidermal stem cells
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Mouse hair follicles contain distinct epidermal stem cell populations that reside in their own microenvironments. To understand their molecular identities and surrounding microenvironments, each stem cell compartment was isolated from several different eGFP reporter mouse lines by FACS and their transcriptome data was obtained by RNA sequencing.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon DRP003275
Gene expression profiling of granule cells and Purkinje cells in zebrafish cerebellum
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

An RNA-seq analysis was performed using zebrafish granule cells, Purkinje cells, IO neurons, and glial cells. The transcriptomes were sequenced using Illumina HiSeq with paired-end libraries employing the Quartz-seq method for low amount total RNA.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15271
Expression data from CXCR4pos (centroblast) and CXCR4neg (centrocyte) Human Germinal Center B cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Functional discrimination between normal centroblast and centrocyte obtained from human inflamed tonsils after cell sorting.

Publication Title

CXCR4 expression functionally discriminates centroblasts versus centrocytes within human germinal center B cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE146725
Expression data from Canton-S and D18 adult flies
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Even after decades of living in the same laboratory environment two Drosophila melanogaster strains originating from North America (Canton-S) and Central Russia (D18) demonstrate a few differentially expressed genes some of which may be important for local adaptation (e.g. genes responsible for insecticide resistance). Genes with different level of expression between Canton-S and D18 strains belong to important metabolic pathways, for instance energy metabolism, carbohydrate metabolic process, locomotion, body temperature rhythm regulation and tracheal network architecture.

Publication Title

Transcriptome analysis of <i>Drosophila melanogaster</i> laboratory strains of different geographical origin after long-term laboratory maintenance.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP189768
Porcine Jejunum Transcriptome Sequencing
  • organism-icon Sus scrofa
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA-Seq of jejunum for 30 pigs with divergent feed efficiency phenotypes

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP189144
Porcine Hypothalamus Transcriptome Sequencing
  • organism-icon Sus scrofa
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNASeq of hypothalamus for 30 pigs with divergent feed efficiency phenotypes

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE107497
Genomic analysis for hematopoietic stem and progenitors cells (HSPC) generated in vitro according to ex vivo expansion protocols and their comparison with HSPC obtained fresh
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Expansion for hematopoietic cells from umbilical cord blood is a strategy for use this cell source in clinic transplants, however, it is important to know about the genomic changes that can occur in expanded cells. In order to detect global expression profiles changes in hematopoietic stem and progenitors cells generated in vitro, we analyzed hematopoietics populations obtained by FACS in fresh from umbilical cord blood. HSC (fHSC) was defined as CD34+ CD38- CD71- CD45RA- Lin- and were cocultured with stromal cell line OP-9 plus FL, SCF, IL3, IL6, TPO, GMCSF and G-CSF by 7 days, after time we repurified HSC population by FACS using same immunophenotype (ivHSC). In other hand, fresh erythroid progenitors cells (fEPC) were identified as CD34+CD38+CD71+CD45RA- Lin- and fresh myeloid progenitors cells (fMPC) were identified as CD34+CD38+CD71-CD45RA+Lin-. In vitro progenitors cells (ivEPC and ivMPC) were obtained by culturing fHSC in Stemspan serum-free media plus SCF, TPO, IL6, FL and IL3 by 10 days, after time cells were repurified by FACS using same immunophenotype for fresh progenitors. In vitro generated cells were compared with their corresponding fresh population cells.

Publication Title

Functional Integrity and Gene Expression Profiles of Human Cord Blood-Derived Hematopoietic Stem and Progenitor Cells Generated In Vitro.

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)

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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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