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accession-icon GSE42061
hyperlipidemia impaired innate response
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To explore the effect of hyperlipidemia on macrophages' innate immune response to Porphyromonas gingivalis invasion

Publication Title

Hyperlipidemia impaired innate immune response to periodontal pathogen porphyromonas gingivalis in apolipoprotein E knockout mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE83464
Expression data from normal human osteoclast transdifferentiated from immature dendritics in vitro or treated with gamma delta t cell
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the global gene expression in osteoclast transdifferrent from immature dendritics in vitro, or treated with gamma delta t cell

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE48150
Expression data in the Cap Stage of the Human Embryonic Tooth Germ
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Numerous genes that play important regulative roles during tooth development in mice have been identified. However, very little is known about gene expression and function in human odontogenesis.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE69657
Identification of HOXB8 and K LK11 expression levels as potential biomarkers to predict the effects of FOLFOX4 chemotherapy
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To measure global gene expression in primary advanced colorectal cancer patients who have undergone fluorouracil, leucovorin and oxaliplatin (FOLFOX4) chemotherapy and screen valuable biomarkers to predict the effects of chemotherapy

Publication Title

Identification of HOXB8 and KLK11 expression levels as potential biomarkers to predict the effects of FOLFOX4 chemotherapy.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE11025
Comparative transcriptional profiling of two contrasting rice genotypes in response to rice stripe virus infection
  • organism-icon Oryza sativa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

During the pathogenesis of virus disease, lots of changes occur in plant hosts including the altered gene expression profiles. Rice stripe virus (RSV) is the type member of Tenuivirus, transmitted by Laodelphax striatellus in a circulative propagative man

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE75118
Expression Profile of alloreactive CD8 and CD4 induced regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Adoptive natural regulatory T cell (nTreg) therapy has improved the outcome for patients suffering from graft-versus-host disease (GVHD) following allogeneic hematopoietic cell transplantation (allo-HCT). However, fear of broad immune suppression and subsequent dampening of beneficial graft-versus-leukemic (GVL) responses remains a challenge. To address this concern, we generated alloreactive induced Tregs (iTregs) from resting CD4 or CD8 T cells and tested their ability to suppress GVH and maintain GVL responses. We utilized major mismatched and haploidentical murine models of HCT with host-derived lymphoma or leukemia cell lines to evaluate GVH and GVL responses simultaneously. Alloreactive CD4 iTregs were effective in preventing GVHD, but abrogated the GVL effect against aggressive leukemia. Alloreactive CD8 iTregs moderately attenuated GVHD while sparing the GVL effect. Hence, we reasoned that using a combination of CD4 and CD8 iTregs could achieve the optimal goal of allo-HCT. Indeed, the combinational therapy was superior to CD4 or CD8 iTreg singular therapy in GVHD control; importantly, the combinational therapy maintained GVL responses. Cellular analysis uncovered potent suppression of both CD4 and CD8 effector T cells by the combinational therapy that resulted in effective prevention of GVHD, which could not be achieved by either singular therapy. Gene expression profiles revealed alloreactive CD8 iTregs possess elevated expression of multiple cytolytic molecules compared to CD4 iTregs, which likely contributes to GVL preservation. Our study uncovers unique differences between alloreactive CD4 and CD8 iTregs that can be harnessed to create an optimal iTreg therapy for GVHD prevention with maintained GVL responses.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE44104
COL11A1 promotes tumor progression and predicts poor clinical outcome in ovarian cancer.
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Biomarkers that predict disease progression might assist the development of better therapeutic strategies for aggressive cancers, such as ovarian cancer. Here, we investigated the role of collagen type XI alpha 1 (COL11A1) in cell invasiveness and tumor formation and the prognostic impact of COL11A1 expression in ovarian cancer. Microarray analysis suggested that COL11A1 is a disease progression-associated gene that is linked to ovarian cancer recurrence and poor survival.

Publication Title

COL11A1 promotes tumor progression and predicts poor clinical outcome in ovarian cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE145127
Microarray analysis of dithranol-treated psoriasis
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Microarray analysis of dithranol-treated psoriasis lesions before, during and after therapy

Publication Title

Dithranol targets keratinocytes, their crosstalk with neutrophils and inhibits the IL-36 inflammatory loop in psoriasis.

Sample Metadata Fields

Time

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accession-icon GSE67851
Expression data from AT/RTs, AT/RT-like tumors and medulloblastomas
  • organism-icon Homo sapiens
  • sample-icon 26 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

Integrated genomics has identified a new AT/RT-like yet INI1-positive brain tumor subtype among primary pediatric embryonal tumors.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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accession-icon GSE46495
Transcriptome signature of white adipose tissue, liver, and skeletal muscle in 24 hours fasted mice (C57Bl/6J)
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Fasting is the process of metabolic adaption to food deprivation that is taking place in most organisms, e.g. during the daily resting phase in mammals. Furthermore, in biomedical research fasting is used in most metabolic studies to synchronize nutritional states of study subjects. Because there is a lack of standardization for this procedure, we need a deeper understanding of the dynamics and the molecular players in fasting. In this study we investigated the transcriptome signature of white adipose tissue, liver, and skeletal muscle in 24 hours fasted mice (and chow fat controls) using Affymetrix whole-genome microarrays.

Publication Title

Metabolite and transcriptome analysis during fasting suggest a role for the p53-Ddit4 axis in major metabolic tissues.

Sample Metadata Fields

Sex, 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)

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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