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accession-icon GSE75024
Expression data from Huh7 cells after 1,2,3,4,6-penta-O-galloyl-beta-D-glucopyranoside (PGG) treatment
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PGG is a natural product exhibits anti-cancer effects on different type of cancers including liver cancer cell lines. In present study we identified a set of genes affected by PGG treatment in Huh7 cells. Some of them, for example, control cell cycle and cell proliferation.

Publication Title

Induction of GNMT by 1,2,3,4,6-penta-O-galloyl-beta-D-glucopyranoside through proteasome-independent MYC downregulation in hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE24976
Amiloride modulates alternative splicing in leukemic cells and re-sensitizes Bcr-AblT315I mutant cells to imatinib
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

We have discovered that amiloride can produce a genome-wide effect on alternative splicing of various RNA transcripts, most importantly including those of the apoptotic factors, in K562 leukemic cells.

Publication Title

Amiloride modulates alternative splicing in leukemic cells and resensitizes Bcr-AblT315I mutant cells to imatinib.

Sample Metadata Fields

Cell line

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accession-icon GSE93586
Expression data from the different EMT and stemness status of lung cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study the drug resistant phenotype between stem-like cancer cells at different EMT status, we isolated 4 subpopulations from the non-small-cell lung cancer cell line (PC14) according to the E-cadherin and CD133 expression level. We demonstrated that the epithelial type CD133high stem-like cells (E-cadhighCD133high) significantly exhibited higher drug resistant ability compared to the mesenchymal type CD133high stem-like cells (E-cadlowCD133high), epithelial type CD133low non-stem like cells (E-cadhighCD133low) and mesenchymal type CD133low non-stem like cells (E-cadlowCD133low).

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE18309
Transcriptomes in Peripheral Blood Mononuclear Cells of Dementia and Alzheimer Patients
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

With the aging population, there is a growing focus on dementia, especially Alzheimers disease (AD). The molecular basis underlying the pathogenesis of AD is gradually being elucidated. Increasing evidence has shown that the immunological function of leukocytes plays a crucial role in the development of neurodegenerative disorders. However, there have been few studies among the Taiwanese population.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Race

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accession-icon GSE109351
Exon Level Expression Profiling in Kawasaki disease (KD): gene expression profile in healthy control subjects, acute-phase KD subjects and convalescent-phase KD subjects
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Transcriptome analysis of pooled RNA samples from total WBC collection

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE6369
Prostate Adenocarcinoma Progression
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression profiling of prostate carcinoma tissue samples of benign and metastatic in disease progression.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
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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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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