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accession-icon GSE21679
Gene signatures in wound tissue as evidenced by molecular profiling in the chicken embryo model
  • organism-icon Gallus gallus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

Modern functional genomic approaches may help to better understand the molecular events involved in tissue morphogenesis and to identify molecular signatures and pathways. We have recently applied transcriptomic profiling to evidence molecular signatures in the development of the normal chicken chorioallantoic membrane and in tumor engrafted on the CAM. We have now extended our studies by performing a transcriptome analysis in the wound model of the chicken CAM which is another relevant model of tissue morphogenesis. To induce granulation tissue formation, we performed wounding of the chicken CAM and compared gene expression to normal CAM at the same stage of development. Matched control samples from the same individual were used. We observed a total of 282 genes up-regulated and 44 genes downregulated assuming a false-discovery rate at 5 % and a fold change > 2. Furthermore, bioinformatics analysis lead to the identification of several categories that are associated to organismal injury, tissue morphology, cellular movement, inflammatory disease, development and immune system. Endothelial cell data filtering leads to the identification of several new genes with an endothelial cell signature. In summary, the chick chorioallantoic wound model allows the identification of gene signatures involved in granulation tissue formation and neoangiogenesis. This may constitute a fertile ground for further studies.

Publication Title

Gene signatures in wound tissue as evidenced by molecular profiling in the chick embryo model.

Sample Metadata Fields

Specimen part

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accession-icon GSE56409
Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways
  • organism-icon Homo sapiens
  • sample-icon 102 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Synovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response program. We tested the hypothesis that a serum response program can be used to classify diseased tissues, and investigated the serum response program in fibroblasts from multiple anatomical sites and two diseases. To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including RA, OA and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. The classical fibroblast serum response program discretely classified RA, OA and normal synovial tissues. Analysis of low and high serum treated fibroblast microarray data revealed a hierarchy of control, with anatomical site the most powerful classifier followed by response to serum and then disease. In contrast to skin and bone marrow fibroblasts, exposure of synovial fibroblasts to serum led to convergence of RA and OA expression profiles. Pathway analysis revealed three inter-linked gene networks characterising OA synovial fibroblasts: Cell remodelling through insulin-like growth factors, differentiation and angiogenesis through 3 integrin, and regulation of apoptosis through CD44. We have demonstrated that Fibroblast serum response signatures define disease at the tissue level, and that an OA specific, serum dependent repression of genes involved in cell adhesion, extracellular matrix remodelling and apoptosis is a critical discriminator between cultured OA and RA synovial fibroblasts.

Publication Title

Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP084395
RNA-seq of mouse embryonic stem cell states expressing Esrrb, Tbx3, and Zscan4
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We develop a theoretical-computational framework for inferring cell state transition dynamics, and apply it to mouse embryonic stem cells states defined by expression levels of Esrrb, Tbx3, and Zscan4. RNA-seq was performed to characterize the larger transcriptional differences between states expressing combinations of these three specific genes, and proceed to explore their dynamic interconversion. Overall design: A double knock-in reporter for Esrrb and Tbx3 with distinct fluorescent proteins was constructed to enable purification of substates defined by their relative expression levels (Esrrb-/Tbx3-; Esrrb+/Tbx3-; Esrrb+/Tbx3+). A second line was constructed using a promoter-fragment reporter to isolate Zscan4+ from Zscan4- cells. Following FACS isolation, the subpopulations were sequenced on an Illumina HiSeq2500. Biological replicates were collected on different days.

Publication Title

Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP106658
Combinatorial Signal Preception in the BMP Pathway
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

These data consist of an expression survey of three receptor cell lines and the parental cell types was performed to determine expression of BMP related genes. Overall design: Sequence libraries for three cell types were constructed using NEBNext Ultra RNA-seq (NEB #E7530) and sequenced on Illumnia HiSeq2500.

Publication Title

Combinatorial Signal Perception in the BMP Pathway.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE28234
Transcriptional profiling of immortalized LECs (imLECs)
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In contrast to the migration of leukocytes from blood vessels into tissues, and the involvement of adhesion molecules and chemokines in this process, the migration of leukocytes from the tissue into lymphatic vessels is much less well understood. This can, in part be explained by the fact that murine lymphatic endothelial cells (LECs) have proven particularly hard to isolate and propagate in culture. Hence, it has been difficult to establish suitable models to study this process in vitro. Combining magnetic bead-based purification and fluorescence-activated cell sorting (FACS), we have isolated LECs (immorto-LECs) from the skin of mice which express a temperature-sensitive SV40 large T antigen (H-2Kb-tsA58 mice; ImmortoMice) in all cell types under the control of the MHC-class-I-promotor, H-2Kb. The isolated cells are viable for more than 30 passages when cultured at 33 C, the temperature at which the large T antigen is stably expressed. Furthermore, immorto-LECs tolerate several days of culture at 37 C, but become senescent if continuously cultured at this temperature. All cells stably express endothelial and lymphatic markers like CD31, podoplanin, Prox-1 and VEGFR-3 up to passage 30. When cultured in presence of tumor necrosis factor-alpha (TNF-a), immorto-LECs upregulate adhesion molecules, such as ICAM-1, VCAM-1 and E-selectin, similarly to what has been reported to occur under inflammatory conditions in vivo. Overall, our findings establish immorto-LECs as a useful and handy tool for the in vitro investigation of immune cell transmigration across lymphatic endothelium.

Publication Title

Tissue inflammation modulates gene expression of lymphatic endothelial cells and dendritic cell migration in a stimulus-dependent manner.

Sample Metadata Fields

Specimen part

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accession-icon GSE115690
Expression analysis of T-ALL cell lines TALL-1, RPMI-8402, SUPT11 and P12-ICHIKAWA after treatment with NVS-ZP7-3
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of a NVS-ZP7-3 response signature in T-ALL cell lines to understand the transcriptional response in both Notch pathway active cell lines and Notch pathway inactive lines.

Publication Title

Discovery of a ZIP7 inhibitor from a Notch pathway screen.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP040269
mRNA profile in DR-related mutants
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Dietary restriction (DR) extends lifespan in a wide variety of species, yet the underlying mechanisms are not well understood. Here we show that the Caenorhabditis elegans HNF4a-related nuclear hormone receptor NHR-62 is required for metabolic and physiologic responses associated with DR-induced longevity. nhr-62 mediates the longevity of eat-2 mutants, a genetic mimetic of dietary restriction, and blunts the longevity response of DR induced by bacterial food dilution at low nutrient levels. Metabolic changes associated with DR, including decreased Oil Red O staining, decreased triglyceride levels, and increased autophagy are partly reversed by mutation of nhr-62. Additionally, the DR fatty acid profile is altered in nhr-62mutants. Expression profiles reveal that several hundred genes induced by DR depend on the activity of NHR-62, including a putative lipase required for the DR response. This study provides critical evidence of nuclear hormone receptor regulation of the DR longevity response, suggesting hormonal and metabolic control of life span. Overall design: Young adult worms before bearing eggs inside were collected. N2 serves as the control of wild type. 3 biological replicates included in this experiment.

Publication Title

Dietary restriction induced longevity is mediated by nuclear receptor NHR-62 in Caenorhabditis elegans.

Sample Metadata Fields

Subject

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accession-icon SRP038704
RNA-seq analysis of WT and blmp-1(tm548) mutant L3 larvae
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed RNA-seq analysis of WT and blmp-1(tm548) mutant L3 larvae to identify genes regulated by the zing-finger transcription factor BLMP-1. Overall design: We analyzed three WT and three blmp-1 mutant biological replicates

Publication Title

DRE-1/FBXO11-dependent degradation of BLMP-1/BLIMP-1 governs C. elegans developmental timing and maturation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE98643
Spotlight and whole-plant far-red enrichment at sub-organ-specific level
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.1 ST Array (aragene11st)

Description

In dense stands,the earliest neighbor response is induced by touching,leading to shade avoidance. During light competion the R:FR distribution is not homogenous, leading to local differences in light quality (R:FR) within the same leaf. Hyponasty is induced by FR-signaling in the lamina tip, which then induces local cell growth in the petiole base. Likewise, local touching of the leaf tip induces a similar phenoype.

Publication Title

Neighbor detection at the leaf tip adaptively regulates upward leaf movement through spatial auxin dynamics.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE76737
Expression data from polarized adult human microglia and macrophages
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MerTK Is a Functional Regulator of Myelin Phagocytosis by Human Myeloid Cells.

Sample Metadata Fields

Specimen part, 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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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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