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accession-icon SRP150101
Transcriptome analysis of Group 3 and 4 medulloblastoma orthotopic xenograft mice with digoxin treatment
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq data of Group 3 and 4 medulloblastoma with digoxin treatment. Overall design: Investigate the differential expressed genes in Group 3 and 4 Medulloblastoma under digoxin treatment

Publication Title

Systems biology-based drug repositioning identifies digoxin as a potential therapy for groups 3 and 4 medulloblastoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

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accession-icon GSE13488
Peripheral blood leukocyte genomic response one day post traumatic injury may predict early respiratory recovery
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This data was used as an example to illustrate a computational method for assessing statistical significance in microarray experiments

Publication Title

Assessing statistical significance in microarray experiments using the distance between microarrays.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9424
Assessing Statistical Significance in Microarray Experiments Using the Distance Between Microarrays
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We propose a method to compare the location and variability of gene ex-pression between two groups of microarrays using a permutation test based on the pairwise distance between microarrays. The microarrays could be samples from distinct clinical or biological populations or microarrays prepared at two different levels of an experimental factor. For these tests the entire microarray or some pre-specifed subset of genes, not the individual gene, is the unit of analysis. We apply this method to compare results from two dfferent protocols for preparing labeled targets for microarray hybridization and their subsequent gene expression analysis.

Publication Title

Assessing statistical significance in microarray experiments using the distance between microarrays.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7404
Comparison of Longitudinal Leukocyte Gene Expression after Burn Injury or Trauma Hemorrhage in Mice
  • organism-icon Mus musculus
  • sample-icon 144 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We report here the genes that are sequentially expressed in white blood cells from blood and spleen at 2 hours, 2 day,3 days, and 7 days after burn and sham injury or trauma-hemorrhage (T-H) and sham T-H. Includes WBC treated with LPS for 2 hours and 1 day.

Publication Title

Comparison of longitudinal leukocyte gene expression after burn injury or trauma-hemorrhage in mice.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE3284
A network-based analysis of systemic inflammation in humans
  • organism-icon Homo sapiens
  • sample-icon 110 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Oligonucleotide and complementary DNA microarrays are being used to subclassify histologically similar tumours, monitor disease progress, and individualize treatment regimens. However, extracting new biological insight from high-throughput genomic studies of human diseases is a challenge, limited by difficulties in recognizing and evaluating relevant biological processes from huge quantities of experimental data. Here we present a structured network knowledge-base approach to analyse genome-wide transcriptional responses in the context of known functional interrelationships among proteins, small molecules and phenotypes. This approach was used to analyse changes in blood leukocyte gene expression patterns in human subjects receiving an inflammatory stimulus (bacterial endotoxin). We explore the known genome-wide interaction network to identify significant functional modules perturbed in response to this stimulus. Our analysis reveals that the human blood leukocyte response to acute systemic inflammation includes the transient dysregulation of leukocyte bioenergetics and modulation of translational machinery. These findings provide insight into the regulation of global leukocyte activities as they relate to innate immune system tolerance and increased susceptibility to infection in humans.

Publication Title

A network-based analysis of systemic inflammation in humans.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE11375
A Genomic Score Prognostic of Outcome in Trauma Patients
  • organism-icon Homo sapiens
  • sample-icon 182 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Physiological, anatomical, and clinical laboratory analytic scoring systems (APACHE, Injury Severity Score (ISS)) have been utilized, with limited success, to predict outcome following injury. We hypothesized that a peripheral blood leukocyte gene expression score could predict outcome, including multiple organ failure, following severe blunt trauma.

Publication Title

A genomic score prognostic of outcome in trauma patients.

Sample Metadata Fields

Sex, Age

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accession-icon GSE22103
Clinical Microfluidics for Neutrophil Genomics and Proteomics
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies.

Publication Title

Clinical microfluidics for neutrophil genomics and proteomics.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE36809
A genomic storm in critically injured humans
  • organism-icon Homo sapiens
  • sample-icon 856 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human survival from injury requires an appropriate inflammatory and immune response. We describe the circulating leukocyte transcriptome after severe trauma and show that the severe stress produce a global

Publication Title

A genomic storm in critically injured humans.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE37069
Gene response to major burn injuries
  • organism-icon Homo sapiens
  • sample-icon 587 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blood was sampled from severe burns patients over time as well as healthy subjects. Genome-wide expression analyses were conducted using the Affymetrix U133 plus 2.0 GeneChip.

Publication Title

Genomic responses in mouse models poorly mimic human inflammatory diseases.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP077462
Analysis of gene expression profiles in wild-type vs Ets1-/- follicular B cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Ets1-/- mice have an increase in B cell differentiation to plasma cells and increased serum immunoglobulin levels. The genes in B cells that are transcriptionally regulated by Ets1 and help regulate B cell differentiation are largely unknown. Here, we identify Ets1-regulated target genes in B cells using ChIP-seq and RNA-seq analysis. We found that Ets1 targets genes associated with immune response, mature B cell differentiation and regulation of B cell activation. Overall design: Quiescent follicular B cells were sorted from the spleens of wild-type and Ets1-/- mice using the following markers B220+ CD23-high CD21-low CD80-negative IgA-negative IgE-negative IgG1-negative IgG2a-negative IgG2b-negative IgG3-negative. Total RNA was prepared from sorted cells and subjected to RNA-sequencing.

Publication Title

Genome-Wide Identification of Target Genes for the Key B Cell Transcription Factor <i>Ets1</i>.

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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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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