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accession-icon SRP126061
RNA sequencing of dendritic cells undergoing interaction with T cells in vivo
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We used RNA sequencing to characterize gene expression of dendritic cells from mouse lymph node that, based on LIPSTIC labeling, underwent interaction with CD4+ T cells. Overall design: Antigen pulsed dendritic cells (DCs) were transferred into recipient mice, followed by antigen specific CD4+ T cells. Forty-eight hours after T cell transfer, endogenous dendritic cells were isolated by facs sorting from mouse lymph node and analyzed based on their in vivo LIPSTIC labeling.

Publication Title

Monitoring T cell-dendritic cell interactions in vivo by intercellular enzymatic labelling.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP083074
Time course profiling of IEC and total colonic tissue transcriptome in T.mu colonized animals
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In this experiment we profiled the transcriptome of intestinal colonic epithelium and total colonic tissue of animals colonized with T.mu versus naïve littermate controls at different time points Overall design: Groups of three mice were inoculated with 2x106 highly purified Tritrichomonas musculis. Total tissue and epithelial cells were collected at 3 days, 14 days and 48 days after inoculation from three different mice. RNA was isolated and sequenced

Publication Title

Host-Protozoan Interactions Protect from Mucosal Infections through Activation of the Inflammasome.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE32372
Innate response activator B cells are sentinels that guard against polymicrobial sepsis
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Innate immunity is fundamental to recognition and clearance of bacterial infection. The relevant cells and molecules that orchestrate an effective response, however, remain incompletely understood. Here we describe a previously unknown population of B cells, which we have named innate response activator (IRA) B cells that recognize bacteria directly through TLR-4-MyD88 and protect against polymicrobial sepsis.

Publication Title

Innate response activator B cells protect against microbial sepsis.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon SRP128986
ImmGen ULI: Systemwide RNA-seq profiles (#1)
  • organism-icon Mus musculus
  • sample-icon 157 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Primary RNAseq data for 103 highly purified immunocyte populations representing all lineages and several differentiation cascades, profiled using the ImmGen ULI pipeline. Overall design: These RNAseq profiles were generated by ImmGen labs in a combined study associating RNAseq and ATACseq performed on cell populations sorted in parallel (companion ATACseq datasets are found in GSE100738). The 103 cell populations include all adaptive and innate lymphocytes (B, abT, gdT, Innate-Like Lymphocytes), myeloid cells (dendritic cells, macrophages, monocytes), mast cells and neutrophils. Most were prepared from baseline unchallenged mice, some after cell activation (LPS, anti-CD3, viral infection). For B and T lymphocytes, many successive steps of their known differentiation cascades in the thymus and bone marrow are included. ---------------------------------------- Immunological Genome Project Consortium

Publication Title

The cis-Regulatory Atlas of the Mouse Immune System.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE52363
Expression data from glioblastoma cells after ZFHX4 or CHD4 suppression.
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ZFHX4 and CHD4 suppression independently shift tumor initiating cells out of a stem like state and toward a differentiated morphology.

Publication Title

ZFHX4 interacts with the NuRD core member CHD4 and regulates the glioblastoma tumor-initiating cell state.

Sample Metadata Fields

Cell line

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accession-icon GSE32503
Integrative transcriptome sequencing identifies trans-splicing events with important roles in human embryonic stem cell pluripotency
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Trans-splicing is a post-transcriptional event that joins exons from separate pre-mRNAs. Detection of trans-splicing is usually severely hampered by experimental artifacts and genetic rearrangements. Here, we develop a new computational pipeline, TSscan, which integrates different types of high-throughput long-/short-read transcriptome sequencing of different human embryonic stem cell (hESC) lines to effectively minimize false positives while detecting trans-splicing. Combining TSscan screening with multiple experimental validation steps revealed that most chimeric RNA products were platform-dependent experimental artifacts of RNA sequencing. We successfully identified and confirmed four trans-spliced RNAs, including the first reported trans-spliced large intergenic noncoding RNA ("tsRMST"). We showed that these trans-spliced RNAs were all highly expressed in human pluripotent stem cells and differentially expressed during hESC differentiation. Our results further indicated that tsRMST can contribute to pluripotency maintenance of hESCs by suppressing lineage-specific gene expression through the recruitment of NANOG and the PRC2 complex factor, SUZ12. Taken together, our findings provide important insights into the role of trans-splicing in pluripotency maintenance of hESCs and help to facilitate future studies into trans-splicing, opening up this important but understudied class of post-transcriptional events for comprehensive characterization

Publication Title

Integrative transcriptome sequencing identifies trans-splicing events with important roles in human embryonic stem cell pluripotency.

Sample Metadata Fields

Specimen part

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accession-icon GSE104795
Zinc transporter ZIP8 (SLC39A8) overexpression effect on primary mouse articular chondrocytes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Gene expression profiling of primary mouse articular chondrocyte infected with recombinant adenovirus expressing the zinc transporter ZIP8 (SLC39A8) protein.

Publication Title

Pleiotropic roles of metallothioneins as regulators of chondrocyte apoptosis and catabolic and anabolic pathways during osteoarthritis pathogenesis.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon SRP092158
Regulatory T cells exhibit distinct features in human breast cancer
  • organism-icon Homo sapiens
  • sample-icon 250 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Ion Torrent Proton

Description

The goal of this study is to compare transcriptional profiles of regulatory T cells and conventional CD4 T cells in human breast cancer to regulatory T cells and conventional CD4 T cells in normal breast parenchyma and in peripheral blood. Overall design: RNA sequencing of 2 different cell types in 3 different tissues

Publication Title

Regulatory T Cells Exhibit Distinct Features in Human Breast Cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP096554
Dehydration and Fixed-Carbon Starvation of Brassinosteroid related mutants in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report global gene expression profilies of Brassinosteroid related Arabidopsis mutants in response to dehydration and fixed-carbon starvation stresses by RNA-seq Overall design: Arabidopsis plants of listed genotypes were grown for 4 weeks under long day (16 hour light) conditions before being subjected to control, 4 hour dehydration, or 5 day fixed carbon starvation treatments.

Publication Title

Arabidopsis WRKY46, WRKY54, and WRKY70 Transcription Factors Are Involved in Brassinosteroid-Regulated Plant Growth and Drought Responses.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE11186
Expression profiling of mouse dorsal skin during hair follicle cycling
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Hair follicles undergo recurrent cycling of controlled growth (anagen), regression (catagen), and relative quiescence (telogen) with a defined periodicity. Taking a genomics approach to study gene expression during synchronized mouse hair follicle cycling, we discovered that, in addition to circadian fluctuation, CLOCK-regulated genes are also modulated in phase with the hair growth cycle. During telogen and early anagen, circadian clock genes are prominently expressed in the secondary hair germ, which contains precursor cells for the growing follicle. Analysis of Clock and Bmal1 mutant mice reveals a delay in anagen progression, and the secondary hair germ cells show decreased levels of phosphorylated Rb and lack mitotic cells, suggesting that circadian clock genes regulate anagen progression via their effect on the cell cycle. Consistent with a block at the G1 phase of the cell cycle, we show a significant upregulation of p21 in Bmal1 mutant skin. While circadian clock mechanisms have been implicated in a variety of diurnal biological processes, our findings indicate that circadian clock genes may be utilized to modulate the progression of non-diurnal cyclic processes.

Publication Title

Circadian clock genes contribute to the regulation of hair follicle cycling.

Sample Metadata Fields

Sex

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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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