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accession-icon GSE14328
Three non-invasive protein biomarkers for solid-organ transplant rejection found through integrative genomics
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We integrated three transplant rejection microarray studies examining gene expression in samples from pediatric renal, adult renal, and adult heart transplants. We performed one study ourselves and retrieved two others from the NCBI Gene Expression Omnibus (GEO)(GSE4470 and GSE1563). We identified 45 genes that were upregulated in common in acute rejection. Half were involved in one immune-related pathway. Among ten proteins we tested by serum ELISA, three successfully distinguished acute rejection from stable transplants. These were CXCL9, PECAM1, and CD44, with areas under the receiver operating characteristic curves of 0.844, 0.802, and 0.738, respectively. Immunohistochemistry showed that the PECAM1 protein was increased in acute rejection in renal, liver and heart transplants versus normal tissues. Our results show that integrating publicly-available gene expression data sets is a fast, powerful, and cost-effective way to identify serum-detectable diagnostic biomarkers.

Publication Title

Integrative urinary peptidomics in renal transplantation identifies biomarkers for acute rejection.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37552
A Systems Biology Approach Reveals Common Metastatic Pathways in Osteosarcoma
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background

Publication Title

A systems biology approach reveals common metastatic pathways in osteosarcoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE41856
Cell growth in aggregates determines gene expression, proliferation, survival and chemoresistance of Follicular Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 14 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

Cell growth in aggregates determines gene expression, proliferation, survival, chemoresistance, and sensitivity to immune effectors in follicular lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41855
Expression data from quiescent cells and cycling cells isolated from Multicellular aggregates of lymphoma cells (MALC)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Follicular Lymphomas are blood tumors growing as spheres in patients. Before this study, there was no experimental model mimicking the 3D organization of these in vivo tumors. We develop such a model, called MALC, and observed a progressive enrichment in quiescent cells in these with time of culture; these cells were sorted, as their cycling counterparts, and their transcriptomes were compared. We used microarrays to detail the differential global gene expression profile between quiescent and cycling cells isolated from MALC.

Publication Title

Cell growth in aggregates determines gene expression, proliferation, survival, chemoresistance, and sensitivity to immune effectors in follicular lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41851
Expression data from follicular lymphoma cells cultured either in suspension either as Multicellular aggregates of lymphoma cells (MALC)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Follicular Lymphomas are blood tumors growing as spheres in patients. Before this study, there was no experimental model mimicking the 3D organization of these in vivo tumors. We develop such a model, called MALC, and performed a pan-genomic comparative analysis between MALC and classical suspension cultures. We used microarrays to detail the global gene expression profile induced by aggregated growth of lymphoma cells.

Publication Title

Cell growth in aggregates determines gene expression, proliferation, survival, chemoresistance, and sensitivity to immune effectors in follicular lymphoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16615
gene expression in human subcutaneous adipose tissue after CLA intervention
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Iisomer-specific effects of conjugated linoleic (CLA) supplementation on gene expression with particular consideration of the PPAR 2 Pro12Ala SNP in human adipose tissue.

Publication Title

Isomer-specific effects of CLA on gene expression in human adipose tissue depending on PPARgamma2 P12A polymorphism: a double blind, randomized, controlled cross-over study.

Sample Metadata Fields

Subject

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accession-icon GSE26980
Expression data from melanoma cells grown under neural crest cell culture conditions (spheroid cells) versus under classical adherent conditions (adherent cells) - 2 different specimens of melanoma tumors
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Summary: Melanoma spheroids grown under neural crest cell conditions are highly plastic migratory/invasive tumor cells endowed with immunomodulator function

Publication Title

Melanoma spheroids grown under neural crest cell conditions are highly plastic migratory/invasive tumor cells endowed with immunomodulator function.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP133658
RNA sequencing of LNZ308 glioma cells treated under differential conditions including monotherapies, dual therapy and synergistic triple regimen employing ?-irradiation, temozolomide and oncolytic measles virus.
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The synergistic regimen CT-VT-RT triggers proinflammatory antiviral signalling with activation of apoptotic cascades resulting in tumor cell death. Overall design: The experiment was designed to elicit individual treatment effects using monotherapies to understand the combinatorial sequential effect of dual and triple regimen using appropriate controls.

Publication Title

Measles Virus-Based Treatments Trigger a Pro-inflammatory Cascade and a Distinctive Immunopeptidome in Glioblastoma.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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accession-icon SRP092280
Transcriptome analysis of tumor-specific CD8 T cells in murine solid tumors
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNAseq analysis of CD8 T cells becoming dysfunctional in progressing tumors. The overall goal of this study was to elucidate the molecular program that mediates functional unresponsiveness in tumor-specific CD8 T cells. In comparison, we also investigated CD8 T cells differentiating to functional effector and memory T cells during an acute listeria infection. Overall design: T cells were sorted by flow cytometry and RNA-seq was performed.

Publication Title

Chromatin states define tumour-specific T cell dysfunction and reprogramming.

Sample Metadata Fields

Disease, Disease stage, Cell line, Subject

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accession-icon SRP163643
Inherent DNA binding specificities of the HIF-1a and HIF-2a transcription factors in chromatin (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Hypoxia inducible factor (HIF) is the major transcriptional regulator of cellular responses to hypoxia. The two principal HIF-a isoforms, HIF-1a and HIF-2a, are progressively stabilized in response to hypoxia and form heterodimers with HIF-1b to activate a broad range of transcriptional responses. Here we report on the pan-genomic distribution of isoform-specific HIF binding in response to hypoxia of varying severity and duration, and in response to genetic ablation of each HIF-a isoform. Our findings reveal that, despite an identical consensus recognition sequence in DNA, each HIF heterodimer loads progressively at a distinct repertoire of cell-type specific sites across the genome, with little evidence of redistribution under any of the conditions examined. Marked biases towards promoter proximal binding of HIF-1 and promoter distant binding of HIF-2 were observed under all conditions and were consistent in multiple cell type. The findings imply that each HIF isoform has an inherent property that determines its binding distribution across the genome, which might be exploited to therapeutically target the specific transcriptional output of each isoform independently. Overall design: RNA_seq analysis of hypoxic gene regulation in HKC8 and HepG2 cell lines and in RCC4 cell lines stably transfected with wtVHL

Publication Title

Hypoxia drives glucose transporter 3 expression through hypoxia-inducible transcription factor (HIF)-mediated induction of the long noncoding RNA NICI.

Sample Metadata Fields

Specimen part, Cell line, 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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