refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 4523 results
Sort by

Filters

Technology

Platform

accession-icon GSE40752
Transcriptional analysis of whole blood, primary fibroblasts, and PBMCs upon TNF-alpha or IL-1beta stimulation from HOIL-1-deficient patients
  • organism-icon Homo sapiens
  • sample-icon 68 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Immunodeficiency, autoinflammation and amylopectinosis in humans with inherited HOIL-1 and LUBAC deficiency.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject, Time

View Samples
accession-icon GSE40560
Transcriptome analysis in primary fibroblasts from HOIL-1-deficient patients upon TNF- or IL-1 stimulation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

HOIL-1 deficient disease is a new early onset fatal autosomal recessive human disorder charaterized by chronic auto-inflammation, recurrent invasive bacterial infections and progressive muscular amylopectinosis. We studied the effect of TNF- and IL-1 on transcriptional changes of primary fibroblasts from HOIL-1-, MYD88- and NEMO-deficient patients.

Publication Title

Immunodeficiency, autoinflammation and amylopectinosis in humans with inherited HOIL-1 and LUBAC deficiency.

Sample Metadata Fields

Disease, Disease stage, Subject, Time

View Samples
accession-icon GSE40561
Transcriptional analysis of whole blood in patients with auto-inflammatory disorders
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

HOIL1 deficient disease is a new early onset fatal autosomal recessive human disorder charaterized by chronic auto-inflammation, recurrent invasive bacterial infections and progressive muscular amylopectinosis. We studied the transcriptional profiles of whole blood from one HOIL dificient patient and other auto-inflammatory patients, including CINCA, Muckle-Wells syndrome and MVK deficiency.

Publication Title

Immunodeficiency, autoinflammation and amylopectinosis in humans with inherited HOIL-1 and LUBAC deficiency.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE40838
Transcriptome analysis in peripheral blood mononuclear cells (PBMC) from HOIL-1-deficient patients upon TNF- or IL-1 stimulation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

HOIL-1 deficient disease is a new early onset fatal autosomal recessive human disorder charaterized by chronic auto-inflammation, recurrent invasive bacterial infections and progressive muscular amylopectinosis. We studied the effect of TNF- and IL-1 on transcriptional changes of PBMCs from HOIL-1- and MYD88-deficient patients.

Publication Title

Immunodeficiency, autoinflammation and amylopectinosis in humans with inherited HOIL-1 and LUBAC deficiency.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject, Time

View Samples
accession-icon GSE30101
Genome-wide profiling of whole blood from healthy adult volunteers before and after receiving non-live vaccines including seasonal influenza or pneumococcal vaccine or placebo (saline) injections
  • organism-icon Homo sapiens
  • sample-icon 693 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines.

Sample Metadata Fields

Sex, Age, Race, Subject

View Samples
accession-icon GSE48762
Genome-wide profiling of whole blood from healthy adult volunteers before and after receiving non-live vaccines including seasonal influenza or pneumococcal vaccine or placebo (saline) injections II
  • organism-icon Homo sapiens
  • sample-icon 621 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The objective of this study is to: 1) Characterize the immune responsiveness to administration of non-live vaccines in three cohorts of healthy adult subjects through the analysis of blood leukocytes transcriptional profiles. 2) Validate whole blood transcriptional profiles generated from standard 3mL blood draws versus 200uL blood draws obtained by finger stick. 3) Discover potential biomarkers for immune-responsiveness to non-live vaccines.

Publication Title

Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines.

Sample Metadata Fields

Sex, Age, Race, Subject

View Samples
accession-icon GSE11907
A Modular Analysis Framework for Blood Genomics Studies: Application to Systemic Lupus Erythematosus
  • organism-icon Homo sapiens
  • sample-icon 340 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The analysis of patient blood transcriptional profiles offers a means to investigate the immunological mechanisms relevant to human diseases on a genome-wide scale. In addition, such studies provide a basis for the discovery of clinically relevant biomarker signatures. We designed a strategy for microarray analysis that is based on the identification of transcriptional modules formed by genes coordinately expressed in multiple disease data sets. Mapping changes in gene expression at the module level generated disease-specific transcriptional fingerprints that provide a stable framework for the visualization and functional interpretation of microarray data. These transcriptional modules were used as a basis for the selection of biomarkers and the development of a multivariate transcriptional indicator of disease progression in patients with systemic lupus erythematosus. Thus, this work describes the implementation and application of a methodology designed to support systems-scale analysis of the human immune system in translational research settings.

Publication Title

A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

Sample Metadata Fields

Sex, Age, Race

View Samples
accession-icon GSE19491
Blood Transcriptional Profiles in Human Active and Latent Tuberculosis
  • organism-icon Homo sapiens
  • sample-icon 498 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This series regroups different datasets (training set, test set, validation set, longitudinal set, separated cell set) to identify and characterise a specific transcriptional signature for patients with active TB, distinct from patients with latent TB and healthy controls. The training set dataset was used to identify a whole blood transcriptional signature for active TB patients in London, across a range of ethnicity. This signature was then validated in an independent cohort of patients, also recruited in London (the test set), and then further confirmed in an additional independent cohort recruited in Cape Town, South Africa (validation set), in order to confirm that the defined signature was present in both high (Cape Town, South Africa) and medium incidence regions (London, UK). The longitudinal dataset was then used to explore how successful TB treatment modifies this transcriptional signature. The separated cell set compares the transcriptional profiles in purified cell subsets (neutrophils, monocytes and T cells) to assess which cell types are contributing to the whole blood signature, and in what way. These studies may ultimately help to improve the diagnosis of active tuberculosis which normally relies on culture of the bacilli, which can take up to 6 weeks, and sometimes the bacilli cannot be obtained from sputum thus requiring invasive techniques such as bronchoalveolar lavage (BAL). In some cases (30%) the bacill cannot be grown from sputum or BAL. Any diagnostic tool would need to be valid across a range of ethnicities, and be valid in both high and low incidence countries. A further aim was to determine whether latent TB patients have a distinct homogeneous or heterogeneous signature, since it is not currently possible to determine using present tests (Tuberculin skin test - TST - or MTb antigen responsiveness of blood cells to produce IFN-gamma - IGRA assay) whether the mycobacteria have been cleared, are still present but are controlled by an active immune response, or to predict which patients will develop active TB. Defining heterogeneity in the latent TB patients would be an important step in developing diagnostics which could detect those most at risk of developing active TB, and thus enable targeted preventive therapy. The latter situation may be determined if Latent patients have a blood transcriptional signature similar to that in Active patients. The transcriptional signature in whole blood and cell subsets from Active TB patients may also provide information as to the factors leading to immunopathogenesis, thus possibly identifying therapeutic targets. The transcriptional profile in latent TB may give information regarding protective factors controlling the infection, important for vaccine development. Finally, definition of a transcriptional signature which responds to therapy could facilitate the development of surrogate biomarkers for drug or vaccine studies.

Publication Title

An interferon-inducible neutrophil-driven blood transcriptional signature in human tuberculosis.

Sample Metadata Fields

Sex, Age, Race

View Samples
accession-icon GSE11908
Construction of a modular analysis framework for blood Genomics Studies
  • organism-icon Homo sapiens
  • sample-icon 271 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We designed a strategy for microarray analysis that is based on the identification of transcriptional modules formed by genes coordinately expressed in multiple disease data sets. Mapping changes in gene expression at the module level generated disease-specific transcriptional fingerprints that provide a stable framework for the visualization and functional interpretation of microarray data.

Publication Title

A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

Sample Metadata Fields

Sex, Age, Race

View Samples
accession-icon GSE29536
Whole Blood Transcriptional Modules generated on Illumina Hu-6 V2 Beadchips
  • organism-icon Homo sapiens
  • sample-icon 410 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

This dataset was used to establish whole blood transcriptional modules (n=260) that represent groups of coordinately expressed transcripts that exhibit altered abundance within individual datasets or across multiple datasets. This modular framework was generated to reduce the dimensionality of whole blood microarray data processed on the Illumina Beadchip platform yielding data-driven transcriptional modules with biologic meaning.

Publication Title

Interferon signature in the blood in inflammatory common variable immune deficiency.

Sample Metadata Fields

Disease

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact