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accession-icon GSE76144
Changes in transcriptome during excisional cutaneous murine wound healing
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Using microarray analysis, we explored the differences in gene expression in wounded and intact skin using murine model. Injured skin samples were examined at days 1 and 4 post injury.

Publication Title

Receptor Mincle promotes skin allergies and is capable of recognizing cholesterol sulfate.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE103339
Gene expression profiling of skin melanophages and macrophages positive or negative for MHC class II expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The lack of mouse models permitting the specific ablation of tissue-resident macrophages and monocyte-derived cells complicates understanding of their contribution to tissue integrity and to immune responses. Here we use a new model permitting diphtheria-toxin (DT)-mediated depletion of those cells and in which dendritic cells are spared. We showed that the myeloid cells of the mouse ear skin dermis are dominated by a population of melanin-laden macrophages, called melanophages, that has been missed in most previous studies. By using gene expression profiling, DT-mediated ablation and parabiosis, we determined their identity including their similarity to other skin macrophages, their origin and their dynamics. Limited information exist on the identity of the skin cells responsible for long-term tattoo persistence. Benefiting of our knowledge on melanophages, we showed that they are responsible for retaining tattoo pigment particles through a dynamic process which characterization has direct implications for improving strategies aiming at removing tattoos.

Publication Title

Unveiling skin macrophage dynamics explains both tattoo persistence and strenuous removal.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE65309
Proliferating Langerhans cells dampen inflammation in established mouse psoriatic lesions
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Psoriasis is a chronic inflammatory skin disease of unknown etiology. Although macrophages and dendritic cells (DCs) have been proposed to drive the psoriatic cascade, their largely overlapping phenotype hampered studying their respective role. Topical application of Imiquimod, a Toll-like receptor 7 agonist, induces psoriasis in patients and psoriasiform inflammation in mice. We showed that daily application of Imiquimod for 14 days recapitulated both the initiation and the maintenance phase of psoriasis. Based on our ability to discriminate Langerhans cells (LCs), conventional DCs, monocytes, monocyte-derived DCs and macrophages in the skin, we characterized their dynamics during both phases of psoriasis. During the initiation phase, neutrophils infiltrated the epidermis whereas monocytes and monocyte-derived DCs were predominant in the dermis. During the maintenance phase, LCs and macrophage numbers increased in the epidermis and dermis, respectively. LC expansion resulted from local proliferation, a conclusion supported by transcriptional analysis. Continuous depletion of LCs during the course of Imiquimod treatment aggravated chronic psoriatic symptoms as documented by an increased influx of neutrophils and a stronger inflammation. Therefore, by developing a mouse model that mimics the human disease more accurately, we established that LCs play a negative regulatory role during the maintenance phase of psoriasis.

Publication Title

Dynamics and Transcriptomics of Skin Dendritic Cells and Macrophages in an Imiquimod-Induced, Biphasic Mouse Model of Psoriasis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE49358
Genome-wide expression study of the CD11b+ subsets of dermal myeloid cells and their migratory counterparts in the draining lymph node
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Numerous CD11b+ myeloid cells are present within the dermis. They are very heterogeneous and can be divided in dermal DCs, tissue monocytes and tissue macrophages. At steady state, only CD11b+ DC migrate from the dermis to the skin draining lymph nodes whereas upon DNFB-induced inflammation, CD11b+ DC as well as dermal monocytes migrated to the lymph nodes. The objective of this study was to use gene expression profiling to rigorously identify the different subsets of dermal CD11b+ myeloid cells at steady state and upon inflammation and to characterize their functional potential.

Publication Title

Origins and functional specialization of macrophages and of conventional and monocyte-derived dendritic cells in mouse skin.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon E-MEXP-1282
Transcription profiling by array of grape cultivar Pinot Noir berry development during three seasons
  • organism-icon Vitis vinifera
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Vitis vinifera (Grape) Genome Array (vitisvinifera)

Description

Global gene expression analysis of grapevine cv. Pinot Noir berries during development and ripening. Time-course comparison of samples collected at three developmental stages (stages 33, 34 and 36 according to the modified E-L system, ref: Coombe BG, Aust J Grape Wine Res 1995, 1: 104-110) during three seasons (2003, 2005 and 2006).

Publication Title

Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at vèraison.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE31674
Pinot Noir berry transcriptome during ripening.
  • organism-icon Vitis vinifera
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Vitis vinifera (Grape) Genome Array (vitisvinifera)

Description

Global gene expression analysis of grapevine cv. Pinot Noir berries during development and ripening. Time-course comparison of samples collected at three developmental stages (stages 33, 34 and 36 according to the modified E-L system, ref: Coombe BG, Aust J Grape Wine Res 1995, 1: 104-110) during three seasons (2003, 2005 and 2006). Data for each of the three seasons were normalized independently within each season, using gcRMA.

Publication Title

Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at vèraison.

Sample Metadata Fields

Specimen part

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accession-icon GSE22983
Transcriptome analysis of dark-grown cop1 and cop1BBX22-GFPox plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The proper accumulation of BBX22 mediated by COP1 is crucial for plants to maintain better growth fitness when growing in the dark environment as well as responding to seasonal changes in day-length. The constitutive-photomorphogenic development of the cop1 mutant is enhanced in cop1BBX22-GFPox plants, which show a short hypocotyl, high anthocyanin accumulation and expression of light-responsive genes. Target genes responsible for the exaggerated light phenotype in cop1BBX22-GFPox plants were revealed by comparing transcriptomes among dark-grown wild-type, cop1 and cop1BBX22-GFPox plants. Expression of genes regulated by light and multiple hormones are altered in plants over-accumulating BBX22, implying a coordination role of BBX22 in light- and hormone-mediated seedling development.

Publication Title

COP1-mediated degradation of BBX22/LZF1 optimizes seedling development in Arabidopsis.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE21684
Arabidopsis seedlings collected during hypocotyl elongation and hypocotyl stasis
  • organism-icon Arabidopsis thaliana
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The hypocotyl of Arabidopsis seedlings shows rhythmic periods of elongation. The patterns of elongation are controlled by a combination of internal factors, such as the circadian clock, and external factors such as light. In a previous study we had found that two transcription factors, PIF4 and PIF5 are important integrators of clock and light signals for the control of elongation. Here we use microarrays to find genes that are correlated with elongation and that are controlled by PIF4 and/or PIF5.

Publication Title

Genomic analysis of circadian clock-, light-, and growth-correlated genes reveals PHYTOCHROME-INTERACTING FACTOR5 as a modulator of auxin signaling in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE27064
Rice endosperm: mRNA profiling and H3K27me3 occupancy
  • organism-icon Oryza sativa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparison of four ChIP-Seq analytical algorithms using rice endosperm H3K27 trimethylation profiling data.

Sample Metadata Fields

Specimen part

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accession-icon GSE26840
Express data from rice endosperm
  • organism-icon Oryza sativa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Immatured rice seeds 7-8 days after pollination were used for expression analysis and matured rice leaf was used as control.

Publication Title

Comparison of four ChIP-Seq analytical algorithms using rice endosperm H3K27 trimethylation profiling data.

Sample Metadata Fields

Specimen part

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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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