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accession-icon GSE5078
Hippocampal transcript profile in young and middle-aged mice
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We carried out a global survey of age-related changes in mRNA levels in the C57BL/6NIA mouse hippocampus and found a difference in the hippocampal gene expression profile between 2-month-old young mice and 15-month-old middle-aged mice correlated with an age-related cognitive deficit in hippocampal-based explicit memory formation. Middle-aged mice displayed a mild but specific deficit in spatial memory in the Morris water maze.

Publication Title

Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE39539
Fibrillar collagen implicated in pregnancy-induced protection of mammary cancer
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

A suggested role for fibrillr collagen topology in the pregnancy-induced protection and invasive phenotype.

Publication Title

Collagen architecture in pregnancy-induced protection from breast cancer.

Sample Metadata Fields

Cell line

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accession-icon SRP158145
iNKT cells RNA-Seq (WT vs SFR KO)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA transcriptome difference between WT and SFR KO iNKT cells To understand how SLAM family receptors (SFRs) contribute to iNKT cell development, a mouse lacking all SFRs in addition to the ligand of 2B4, CD48, was generated, and the transcriptional profiles of thymic iNKT cells from wild-type and SFR KO mice were compared, using RNA sequencing. Overall design: Examine RNA expression in WT and SFR KO iNKT cells Thymocytes were isolated from WT and SFR KO mice, and iNKT cells were enriched by negative selection. Unwanted cells (CD11b+ CD11c+ Gr-1+ Ter-119+ CD19+ CD8a+ cells) were targeted for removal with biotinylated antibodies (BioLegend), streptavidin-coated magnetic particles (RapidSpheres) and EasySep magnet (STEMCELL), and followed by staining with mCD1d/PBS-57 and anti-TCR. Then, iNKT cells were sorted with BD FACSAria III (BD Biosciences), and total RNA was isolated from sorted cells according to the manufacturer's instructions using the RNeasy plus micro kit (Qiagen). RNA-Seq library preparation was performed using the Illumina TruSeq Stranded mRNA Kit, according to manufacturer's instructions, and sequenced with Illumina HiSeq 2000 Sequencer. Read quality was confirmed using FastQC v0.10.1 before alignment using TopHat v2.0.10 on the mouse GRCm38/mm10 genome.

Publication Title

SLAM receptors foster iNKT cell development by reducing TCR signal strength after positive selection.

Sample Metadata Fields

Specimen part, Subject

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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

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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 SRP080883
inDrop single cell RNA-seq of hematopoietic cells derived from human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We performed morphogen-directed differentiation of human PSCs into HE followed by combinatorial screening of 26 candidate HSC-specifying TFs for the potential to promote hematopoietic engraftment in irradiated immune deficient murine hosts. We recovered seven TFs (ERG, HOXA5, HOXA9, HOXA10, LCOR, RUNX1, SPI1) that together were sufficient to convert HE into hematopoietic stem and progenitor cells (HSPCs) that engraft primary and secondary murine recipients Overall design: Examination of expression pattern in hematopoietic cells.

Publication Title

Haematopoietic stem and progenitor cells from human pluripotent stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP040327
Epigenetic Repogramming by an Environmental Carcinogen Through Chromatin Domain Disruption [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Alterations in chromatin modifications, including DNA methylation and histone modification patterns, have been characterized under exposure of several environmental pollutants, including nickel. As with other carcinogenic metals, the mutagenic potential of nickel compounds is low and is not well correlated with its carcinogenic effects. Nickel exposure, however, is associated with alterations in chromatin modifications and related transcriptional programs, suggesting an alternative pathway whereby nickel exposure can lead to disease. To investigate the extent to which nickel exposure disrupts chromatin patterns, we profiled several histone modifications, including H3K4me3, H3K9ac, H3K27me3 and H3K9me2 as well as the insulator binding protein CTCF and the transcriptomes of control BEAS-2B cells and cells treated with nickel for 72 hours. Our results show significant alterations of the repressive histone modification H3K9me2 in nickel-exposed cells with spreading of H3K9me2 into new domains associated with gene silencing. We furthermore show that local regions of active chromatin can protect genes from nickel-induced H3K9me2 spreading. Interestingly, we show that nickel exposure selectively disrupts weaker CTCF sites, leading to spreading of H3K9me2 at these regions. These results have major implications in the understanding of how environmental carcinogens can affect chromatin dynamics and the consequences of chromatin domain disruption in disease progression. Overall design: Treat BEAS-2B cells with NiCl2 for 72 hours and compare histone modification, CTCF binding to control BEAS-2B cells to see how they regulated gene expression by RNA-seq

Publication Title

Epigenetic dysregulation by nickel through repressive chromatin domain disruption.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP074472
Gene expression profile of Dnmt1 flox/flox, Dnmt3a flox/flox, Dnmt3b flox/flox, cre negative (Wild type) and Dnmt1 flox/flox, Dnmt3a flox/flox, Dnmt3b flox/flox, Rx-cre (Triple mutant) murine retina transcriptomes
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: The goal of this study was to identify the gene expression profile of mouse retina which carries deletions in Dnmt1, Dnmt3a and Dnmt3b genes. Method: Retinal mRNA profiles of Postnatal day 15 wild type mice and Dnmt1, Dnmt3a and Dnmt3b mutant mice were generated by deep-sequencing Overall design: Retinal mRNA profiles of post natal day 15 wild type and mutant mice with Illumina HiSeq 2500

Publication Title

Dnmt1, Dnmt3a and Dnmt3b cooperate in photoreceptor and outer plexiform layer development in the mammalian retina.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE35459
Transcriptome profiles of mouse and human monocyte and dendritic cell subsets
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Human tissues contain CD141hi cross-presenting dendritic cells with functional homology to mouse CD103+ nonlymphoid dendritic cells.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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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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