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accession-icon GSE73464
Diagnosis of Kawasaki Disease in children using host RNA expression
  • organism-icon Homo sapiens
  • sample-icon 839 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE72829
Diagnosis of childhood bacterial and viral infection using host RNA expression
  • organism-icon Homo sapiens
  • sample-icon 202 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanRef-8 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Diagnostic Test Accuracy of a 2-Transcript Host RNA Signature for Discriminating Bacterial vs Viral Infection in Febrile Children.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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accession-icon GSE39941
Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases
  • organism-icon Homo sapiens
  • sample-icon 491 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Diagnosis of childhood tuberculosis and host RNA expression in Africa.

Sample Metadata Fields

Disease

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accession-icon GSE73461
Diagnosis of Kawasaki Disease in children using host RNA expression [Discovery_Dataset]
  • organism-icon Homo sapiens
  • sample-icon 459 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.

Publication Title

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE111368
Progression of whole blood transcriptional signatures from interferon-induced to neutrophil-associated patterns in patients with severe influenza
  • organism-icon Homo sapiens
  • sample-icon 359 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Transcriptional profiles are increasingly used to investigate the severity, subtype and pathogenesis of disease. We now describe whole blood RNA signatures and local and systemic immune mediator levels in a large cohort of adults hospitalised with influenza from which extensive clinical and investigational data was obtained. Signatures reflecting interferon-related antiviral pathways were common up to day 4 of symptoms in cases not requiring mechanical ventilatory support; in those needing mechanical ventilation, an inflammatory, activated neutrophil and cell stress/death (bacterial) pattern was seen, even early after disease onset. Identifiable bacterial co-infection was not necessary for this bacterial signature but could enhance its development while attenuating the early viral signature. Our findings emphasise the importance of timing and severity in the interpretation of transcriptomic profiles and soluble mediator levels, and identify specific patterns of immune activation that may enable the development of novel diagnostics and therapeutics

Publication Title

Progression of whole-blood transcriptional signatures from interferon-induced to neutrophil-associated patterns in severe influenza.

Sample Metadata Fields

Sex, Age, Race, Subject, Time

View Samples
accession-icon GSE39940
Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from South Africa and Malawi
  • organism-icon Homo sapiens
  • sample-icon 334 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in two African paediatric populations.

Publication Title

Diagnosis of childhood tuberculosis and host RNA expression in Africa.

Sample Metadata Fields

Disease

View Samples
accession-icon GSE72809
Diagnosis of childhood bacterial and viral infection using host RNA expression [Discovery set]
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanRef-8 v3.0 expression beadchip

Description

Genome-wide analysis of transcriptional profiles in children <17 years of age with bacterial or viral infections or with clinical features suggestive of infection.

Publication Title

Diagnostic Test Accuracy of a 2-Transcript Host RNA Signature for Discriminating Bacterial vs Viral Infection in Febrile Children.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE73463
Diagnosis of Kawasaki Disease in children using host RNA expression [Validation_HT12V4_Dataset]
  • organism-icon Homo sapiens
  • sample-icon 233 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.

Publication Title

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE76227
Expression data of bronchial biopsies and epithelial brushing from Unbiased BIOmarkers in Prediction of REspiratory Disease outcomes (U-BIOPRED) Project
  • organism-icon Homo sapiens
  • sample-icon 187 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE93606
Host-Microbial interactions in Idiopathic Pulmonary Fibrosis
  • organism-icon Homo sapiens
  • sample-icon 173 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Changes in the respiratory microbiome are associated with disease progression in Idiopathic pulmonary fibrosis (IPF). The role of the host response to the respiratory microbiome however remains unknown. The role of this study is to explore the host-microbial interaction in IPF. Network analysis of gene expression data identified two gene modules that strongly associate with a diagnosis of IPF, BAL bacterial burden (determined by 16S quantitative PCR) and specific microbial OTUs, as well as lavage and peripheral blood neutrophilia. Genes within these modules that are involved in the host defence response include NLRC4, PGLYRP1, MMP9, DEFA4. The modules also contain two genes encoding specific antimicrobial peptides (SLPI and CAMP). Many of these particular transcripts were associated with survival and showed longitudinal over expression in subjects experiencing disease progression, further strengthening their relationship with disease. Integrated analysis of the host transcriptome and microbial signatures demonstrates an apparent host response to the presence of an altered or more abundant microbiome. These responses remain elevated on longitudinal follow up, suggesting that the bacterial communities of the lower airways may be acting as persistent stimuli for repetitive alveolar injury in IPF.

Publication Title

Host-Microbial Interactions in Idiopathic Pulmonary Fibrosis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
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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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