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accession-icon GSE29164
IL-12 induces myeloid cells in situ to cross-present antigen
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Myeloid-derived cells comprising the tumor stroma represent a heterogeneous population of cells critical to the structure, function and growth of established cancers. We have recently found that engineering tumor-specific CD8+ T cells to secrete IL-12 (IL-12TD) can lead to striking improvements in T-cell activity against established melanomas in murine models. Surprisingly, IL-12-dependent enhancement of CD8+ T-cell anti-tumor function did not occur through direct ligation of receptors on lymphocytes or NK cells. Instead, IL-12 sensitized host bone marrow-derived tumor-stromal cells, partly through interferon-gamma, to indirectly enhance the effects of adoptively-transferred T cells. Direct presentation of antigen by tumor was not necessary, but MHC class I expression on endogenous cells was essential for IL-12 mediated anti-tumor enhancements. Upon successful treatment with IL-12TD cells, we observed the selective elimination of tumor-infiltrating CD11b+ F4/80+ macrophages, CD11b+/ClassII+/CD11c+ dendritic cells and CD11b+/Ly6C+/Ly6G- but not CD11b+/Ly6C+/Ly6G+ myeloid-derived suppressor cells within regressing lesions. These results are consistent with a model whereby IL-12 triggers the maturation of myeloid-derived cells into competent antigen cross-presenting cells. Licensed recognition of these antigens by effector T cells may in turn trigger the collapse of the tumor stroma and aid in the regression of large vascularized lesions.

Publication Title

IL-12 triggers a programmatic change in dysfunctional myeloid-derived cells within mouse tumors.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP054971
Ribosome profiling and RNA sequencing of MCF10A-ER-Src and fibroblast cell transformation
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We applied ribosome profiling and RNA sequencing to examine gene expression regulation during oncogenic cell transformation. One model involves normal mammary epithelial cells (MCF10A) containing ER-Src. Treatment of such cells with tamoxifen rapidly induces Src, thereby making it possible to kinetically follow the transition between normal and transformed cells. The other model consists of three isogenic cell lines derived from primary fibroblasts in a serial manner (Hahn et al., 1999). EH cell is immortalized by overexpression of telomerase (hTERT), and exhibits normal fibroblast morphology. EL cell expresses hTERT along with both large and small T antigens of Simian virus 40, and it displays an altered morphology but is not transformed. ELR cell expresses hTERT, T antigens, and an oncogenic derivative of Ras (H-RasV12). Overall design: Ribosome profiling and RNA sequencing in two cancer cell models

Publication Title

Many lncRNAs, 5'UTRs, and pseudogenes are translated and some are likely to express functional proteins.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23568
Expression data analyzing ID3 (Inhibitor of DNA binding 3)-affected mouse T cells
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse CD8+ T cells affected by ID3 (Inhibitor of DNA binding 3) display patterns of gene expression suggesting enhanced persistance and survival. In this study, we identified genes differentially expressed between ID32a transduced and mock transduced, and ID32a knockout and wild type mouse CD8+ T cells. Most prominent functions of differentially expressed genes include DNA replication-associated repair, maintenance of chromosome stability and mitotic cell divison machinery. Overall, these data suggest that ID3 acts in favor of maintained survival in CD8+ mouse T cells.

Publication Title

Repression of the DNA-binding inhibitor Id3 by Blimp-1 limits the formation of memory CD8+ T cells.

Sample Metadata Fields

Treatment

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accession-icon SRP129440
Smart-seq2 analysis of larval zebrafish habenula from the gng8-GFP transgenic line
  • organism-icon Danio rerio
  • sample-icon 1138 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The identification of cell types and marker genes is critical for dissecting neural development and function, but the size and complexity of the brain has hindered the comprehensive discovery of cell types. We combined single-cell RNA-seq with anatomical brain registration to create a comprehensive map of the zebrafish habenula, a conserved forebrain hub involved in pain processing and learning. Single-cell transcriptomes of ~13000 habenular cells (>4x coverage) identified 18 neuronal types and dozens of marker genes. Registration of marker genes onto a common reference atlas created a rich resource for anatomical and functional studies and enabled the mapping of active neurons onto neuronal types following aversive stimuli. Strikingly, despite brain growth and functional maturation, cell types were retained between the larval and adult habenula. This study provides a gene expression atlas to dissect habenular development and function and offers a general framework for the comprehensive characterization of other brain regions. Overall design: gng8-GFP zebrafish heads were dissected, dissociated and FAC sorted into 96 well plates. Single cell libraries were generated in batches of 384 cells using Smart-seq2. A total of 22 gng8-GFP fish were dissected in 3 batches and 384 cells were processed from each using Smart-seq2.

Publication Title

Comprehensive Identification and Spatial Mapping of Habenular Neuronal Types Using Single-Cell RNA-Seq.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP042091
Genome-wide expression profiles in young and old mouse liver [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Aging is accompanied by physiological impairments, which, in insulin-responsive tissues, including the liver, predispose individuals to metabolic disease. However, the molecular mechanisms underlying these changes remain largely unknown. Here, we analyze genome-wide profiles of RNA and chromatin organization in the liver of young (3 months) and old (21 months) mice. Transcriptional changes suggest that de-repression of the nuclear receptors PPARa, PPAR?, and LXRa in aged mouse liver leads to activation of targets regulating lipid synthesis and storage, whereas age-dependent changes in nucleosome occupancy are associated with binding sites for both known regulators (forkhead factors and nuclear receptors) and for novel candidates associated with nuclear lamina (Hdac3 and Srf) implicated to govern metabolic function of aging liver. Winged-helix factor Foxa2 and nuclear receptor co-repressor Hdac3 exhibit reciprocal binding pattern at PPARa targets contributing to gene expression changes that lead to steatosis in aged liver. Overall design: Genome-wide expression profiles (RNA-Seq) from young (3 months) and old (21 months) mouse livers

Publication Title

Changes in nucleosome occupancy associated with metabolic alterations in aged mammalian liver.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16522
Effector cells derived from nave or central memory pmel-1 CD8+ T cells
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of nave or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from nave or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of nave cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their nave or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy.

Publication Title

Adoptively transferred effector cells derived from naive rather than central memory CD8+ T cells mediate superior antitumor immunity.

Sample Metadata Fields

Specimen part

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accession-icon SRP055996
Spatial reconstruction of single-cell gene expression
  • organism-icon Danio rerio
  • sample-icon 1138 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Spatial localization is a key determinant of cellular fate and behavior, but spatial RNA assays traditionally rely on staining for a limited number of RNA species. In contrast, single-cell RNA-seq allows for deep profiling of cellular gene expression, but established methods separate cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos, inferring a transcriptome-wide map of spatial patterning. We confirmed Seurat’s accuracy using several experimental approaches, and used it to identify a set of archetypal expression patterns and spatial markers. Additionally, Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems. Overall design: We generated single-cell RNA-seq profiles from dissociated cells from developing zebrafish embryos (late blastula stage - 50% epiboly)

Publication Title

Spatial reconstruction of single-cell gene expression data.

Sample Metadata Fields

Subject

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accession-icon SRP109817
RNA-seq during MCF10A-ER-Src cell transformation and upon factor knockdowns
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed RNA-seq to examine RNA expression profiles during MCF10A-ER-Src cell transformation and upon knockdowns of transcription factors Overall design: RNA-seq before and after MCF10A-ER-Src cell transformation, and RNA-seq upon factor knockdowns after inducing cell transformation

Publication Title

Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon E-MEXP-729
Transcription profiling of barley in response to nitrate, ammonium or both
  • organism-icon Hordeum vulgare
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Comparative genomic analysis of nutrient response to NO3-, NH4+ or NH4+: NO3- in barley

Publication Title

Global transcriptional and physiological responses of Saccharomyces cerevisiae to ammonium, L-alanine, or L-glutamine limitation.

Sample Metadata Fields

Age, Specimen part, Subject, Compound

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accession-icon SRP123526
Single-cell RNAseq (SMART-seq2) of wild-type (TLAB) and MZoep (tz57) zebrafish embryos at 50% epiboly stage
  • organism-icon Danio rerio
  • sample-icon 415 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

SMART-seq2 was performed on single cells isolated from visually staged zebrafish embryos. Overall design: Samples were all sequenced in one batch. Some were generated with a 5'' UMI-tagged method, and others are full-length SMART-seq2.

Publication Title

Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.

Sample Metadata Fields

Subject

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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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