refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 323 results
Sort by

Filters

Technology

Platform

accession-icon SRP150689
Organ-specific tissue-resident macrophages dynamics during blood stage malaria
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Blood-stage malaria initiates both innate and adaptive immune responses, inclusive a strong activation of the mononuclear phagocyte network. Here we show that Plasmodium infection results in a transient loss of embryonically established tissue-resident macrophages in spleen, liver and lungs, much before the peak of parasitemia. During acute blood-stage malaria, fate mapping analysis revealed that inflammatory monocytes contribute to the repopulation of the emptied niches of splenic red pulp macrophages and hepatic Kupffer cells, while lung alveolar macrophages refill their niche mainly through self-renewal. Interestingly, the local microenvironment of spleen and liver can “imprint” the molecular characteristics of fetal-derived macrophages in new immigrants from bone marrow including almost identical gene expression profiles and turnover kinetics. Overall design: Mice were infected with parasitized P. yoelii erythrocytes. Organ samples were collected in triplicates from uninfected mice and from mice infected 35 days before and after parasite clearance.

Publication Title

Organ-Specific Fate, Recruitment, and Refilling Dynamics of Tissue-Resident Macrophages during Blood-Stage Malaria.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP091455
Molecular profiling of dorsal raphe nucleus Vgat and VGLUT3-expressing neurons
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Hunger, driven by negative energy balance, elicits the search for and consumption of food. In mammals, this is orchestrated principally through the activity of neurons in the hypothalamus, direct manipulation of which can potently drive food intake. However, the neural circuits outside of the hypothalamus that control feeding are poorly understood. Here, we identify two functionally opponent cell types within the dorsal raphe nucleus (DRN), marked by the vesicular transporters for GABA (Vgat) or glutamate (VGLUT3), that project to many known feeding centers and rapidly control feeding. We find that DRNVgat neurons drive, while DRNVGLUT3 neurons suppress, food intake. Furthermore, through the development and application of cell type-specific molecular profiling technologies, we identify many differentially expressed transmembrane receptors, which may represent unique druggable targets. Local application of agonists for these receptors potently modulates feeding, recapitulating the effects of cell-specific manipulations. Together, these data establish a key role for the DRN in controlling food intake and add an important anatomic site that controls energy balance. Overall design: Paired - Inputs and IPs; Unpaired for Vgat/VGLUT3 comparison

Publication Title

Identification of a Brainstem Circuit Controlling Feeding.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE60783
Identification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow.

Sample Metadata Fields

Sex

View Samples
accession-icon SRP045794
Identification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 222 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Dendritic cells (DCs) are antigen sensing and presenting cells that are essential for effective immunity. Existing as a multi-subset population, divided by distinct developmental and functional characteristics1,2, DC subsets play important and unique roles in responses to pathogens, vaccines and cancer therapies, as well as during immune-pathologies. Therefore therapeutic manipulation of the DC compartment is an attractive strategy. However, our incomplete knowledge of the inter-relationship between DC subsets and how they develop from progenitors in the bone marrow (BM) has so far limited the realization of their therapeutic potential. DCs arise from a cascade of progenitors that gradually differentiate in the BM; first, the macrophage DC progenitor (MDP), then common DC progenitor (CDP), and lastly the Pre-DC, which will leave the BM to seed peripheral tissues before differentiating into mature DCs3,4. While the basic outline of this process is known, how subset commitment and development is regulated at the molecular level remains poorly understood. Here we reveal that the Pre-DC population in mice is heterogeneous, containing uncommitted Ly6c+/-Siglec-H+ cells as well as Ly6c+Siglec-H- and Ly6c-Siglec-H- sub-populations that are developmentally fated to become Th2/17-inducing CD11b+ DCs and Th1-inducing CD8a+ DCs, respectively. Using single cell analysis by microfluidic RNA sequencing, we found that DC subset imprinting occurred at the mRNA level from the CDP stage, revealing that subset fate is defined in the BM and not in peripheral tissues. Single cell transcriptome analysis allowed identification of the molecular checkpoints between progenitor stages and revealed new regulators of DC-poiesis, shedding light on the role of cell cycle control and specific transcription factors in DC lineage development. These data advance our knowledge of the steady-state regulation of DC populations and open promising new avenues for investigation of the therapeutic potential of DC subset-specific targeting in vivo to improve vaccine-based and immunotherapeutic strategies. Overall design: Single cell mRNA sequencing was used to investigate the transcriptomic relationships within the Dendritic cell precursor compartment within the BM as well as between single Dendritic cell precursors

Publication Title

Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE60782
Identification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow [Microarray Expression]
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Dendritic cells (DCs) are antigen sensing and presenting cells that are essential for effective immunity. Existing as a multi-subset population, divided by distinct developmental and functional characteristics1,2, DC subsets play important and unique roles in responses to pathogens, vaccines and cancer therapies, as well as during immune-pathologies. Therefore therapeutic manipulation of the DC compartment is an attractive strategy. However, our incomplete knowledge of the inter-relationship between DC subsets and how they develop from progenitors in the bone marrow (BM) has so far limited the realization of their therapeutic potential. DCs arise from a cascade of progenitors that gradually differentiate in the BM; first, the macrophage DC progenitor (MDP), then common DC progenitor (CDP), and lastly the Pre-DC, which will leave the BM to seed peripheral tissues before differentiating into mature DCs3,4. While the basic outline of this process is known, how subset commitment and development is regulated at the molecular level remains poorly understood. Here we reveal that the Pre-DC population in mice is heterogeneous, containing uncommitted Ly6c+/-Siglec-H+ cells as well as Ly6c+Siglec-H- and Ly6c-Siglec-H- sub-populations that are developmentally fated to become Th2/17-inducing CD11b+ DCs and Th1-inducing CD8+ DCs, respectively. Using single cell analysis by microfluidic RNA sequencing, we found that DC subset imprinting occurred at the mRNA level from the CDP stage, revealing that subset fate is defined in the BM and not in peripheral tissues. Single cell transcriptome analysis allowed identification of the molecular checkpoints between progenitor stages and revealed new regulators of DC-poiesis, shedding light on the role of cell cycle control and specific transcription factors in DC lineage development. These data advance our knowledge of the steady-state regulation of DC populations and open promising new avenues for investigation of the therapeutic potential of DC subset-specific targeting in vivo to improve vaccine-based and immunotherapeutic strategies.

Publication Title

Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE80966
Expression analysis of cerebellar granular cell layer isolated from PTEN conditional null mutants and controls
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

A neuronal PI(3,4,5)P3-dependent program of oligodendrocyte precursor recruitment and myelination was identified in mice that conditionally lack PTEN in cerebellar granular cells (PTEN cKO)

Publication Title

A neuronal PI(3,4,5)P<sub>3</sub>-dependent program of oligodendrocyte precursor recruitment and myelination.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE42299
Expression profiles of C2C12 myotubes in response to PGC-1 (peroxisome proliferator-activated receptor gamma, coactivator 1 alpha) overexpression and/or iron chelation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mitochondria are centers of metabolism and signaling whose content and function must adapt to changing cellular environments. The biological signals that initiate mitochondrial restructuring and the cellular processes that drive this adaptive response are largely obscure. To better define these systems, we performed matched quantitative genomic and proteomic analyses of mouse muscle cells as they performed mitochondrial biogenesis. We find that proteins involved in cellular iron homeostasis are highly coordinated with this process, and that depletion of cellular iron results in a rapid, dose-dependent decrease of select mitochondrial protein levels and oxidative capacity. We further show that this process is universal across a broad range of cell types and fully reversed when iron is reintroduced. Collectively, our work reveals that cellular iron is a key regulator of mitochondrial biogenesis, and provides quantitative datasets that can be leveraged to explore post-transcriptional and post-translational processes that are essential for mitochondrial adaptation.

Publication Title

Complementary RNA and protein profiling identifies iron as a key regulator of mitochondrial biogenesis.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE14807
Investigation of over-expressing Annexin receptor cell line with and without agonists
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The therapeutic potential of pro-resolution factors in determining the outcome of inflammatory events has gained ground over the past decade. However, the attention has been focused on the non-genomic effects of these endogenous, anti-inflammatory substances. In this study, we have focused our attention on identifying specific annexin 1 (AnxA1) protein/ALX receptor mediated gene activation, in an effort to identify down-stream genomic targets of this well-known, glucocorticoid induced, pro-resolution factor.

Publication Title

Downstream gene activation of the receptor ALX by the agonist annexin A1.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE66429
New molecular insights into modulation of platelet reactivity in aspirin-treated patients using a network-based approach
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

New molecular insights into modulation of platelet reactivity in aspirin-treated patients using a network-based approach.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE66426
New molecular insights into modulation of platelet reactivity in aspirin-treated patients using a network-based approach [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Platelet reactivity (PR) in cardiovascular (CV) patients is variable between individuals and modulates clinical outcome. However, the determinants of platelet reactivity are largely unknown. Integration of data derived from high-throughput omics technologies may yield novel insights into the molecular mechanisms that govern platelet reactivity. The aim of this study was to identify candidate genes modulating platelet reactivity in aspirin-treated cardiovascular patients PR was assessed in 110 CV patients treated with aspirin 100mg/d by aggregometry using several agonists. 12 CV patients with extreme high or low PR were selected for transcriptomics, proteomics and miRNA analysis.

Publication Title

New molecular insights into modulation of platelet reactivity in aspirin-treated patients using a network-based approach.

Sample Metadata Fields

Specimen part

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