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accession-icon GSE77973
Expression data from adult mouse brain regions following prenatal infection
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-Wide Transcriptional Profiling and Structural Magnetic Resonance Imaging in the Maternal Immune Activation Model of Neurodevelopmental Disorders.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE77972
Expression data from adult mouse Prefrontal Cortex following prenatal infection
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Prenatal exposure to infectious or inflammatory insults can increase the risk of neuropsychiatric disorders with neurodevelopmental components, including schizophrenia and autism. The molecular processes underlying this pathological association are only partially understood. Here, we implemented an unbiased genome-wide transcriptional profiling of the prefrontal cortex of mice exposed to prenatal infection on GD17 compared to control subjects in order to elucidate the long term molecular signature of late prenatal infection.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE77971
Expression data from adult mouse Nucleus Accumbens following prenatal infection
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Prenatal exposure to infectious or inflammatory insults can increase the risk of neuropsychiatric disorders with neurodevelopmental components, including schizophrenia and autism. The molecular processes underlying this pathological association are only partially understood. Here, we implemented an unbiased genome-wide transcriptional profiling of the nucleus accumbens of mice exposed to prenatal infection on GD17 compared to control subjects in order to elucidate the long term molecular signature of late prenatal infection.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE19949
Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome
  • organism-icon Homo sapiens
  • sample-icon 147 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Background: Renal cell carcinoma (RCC) is characterized by a number of diverse molecular aberrations that differ among individuals. Recent approaches to molecularly classify RCC were based on clinical, pathological as well as on single molecular parameters. As a consequence, gene expression patterns reflecting the sum of genetic aberrations in individual tumors may not have been recognized. In an attempt to uncover such molecular features in RCC, we used a novel, unbiased and integrative approach.

Publication Title

Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Cell line

View Samples
accession-icon GSE21962
The transcriptome of nonpolypoid and polypoid preinvasive lesions of the human large intestine
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The aim was to analyze the transcriptome of different types of preneoplastic colorectal lesions in comparison with that of the corresponding normal mucosa.

Publication Title

Preinvasive colorectal lesion transcriptomes correlate with endoscopic morphology (polypoid vs. nonpolypoid).

Sample Metadata Fields

Specimen part

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accession-icon GSE101102
Gene expression response to altered gravity, simulated gravity and hypergravity in human T cells
  • organism-icon Homo sapiens
  • sample-icon 87 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Stability of gene expression in human T cells in different gravity environments is clustered in chromosomal region 11p15.4.

Sample Metadata Fields

Cell line

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accession-icon GSE8671
Transcriptome profile of human colorectal adenomas.
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Colorectal cancers are believed to arise predominantly from adenomas. Although these precancerous lesions have been subjected to extensive clinical, pathological, and molecular analyses, little is currently known about the global gene expression changes accompanying their formation. Results: To characterize the molecular processes underlying the transformation of normal colonic epithelium, we compared the transcriptomes of 32 prospectively collected adenomas with those of normal mucosa from the same individuals. Important differences emerged not only between the expression profiles of normal and adenomatous tissues, but also between those of small and large adenomas. A key feature of the transformation process was the remodeling of the Wnt pathway reflected in patent over- and underexpression of 78 known components of this signaling cascade. Conclusions: Our transcriptomic profiles of normal colonic mucosa and colorectal adenomas shed new light on the early stages of colorectal tumorigenesis.

Publication Title

Transcriptome profile of human colorectal adenomas.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE94256
Dynamic gene expression response to altered gravity in human T cells
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dynamic gene expression response to altered gravity in human T cells.

Sample Metadata Fields

Cell line

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accession-icon GSE185658
Rhinovirus-induced epithelial RIG-I inflammasome suppresses antiviral immunity and promotes inflammation in asthma and COVID-19
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Balanced immune responses in airways of patients with asthma are crucial to succesful clearance of viral infection and proper asthma control.

Publication Title

Rhinovirus-induced epithelial RIG-I inflammasome suppresses antiviral immunity and promotes inflammation in asthma and COVID-19.

Sample Metadata Fields

Subject, Time

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accession-icon GSE94255
Dynamic gene expression response to altered gravity in human T cells (sounding rocket flight)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We investigated differentially regulated genes in human Jurkat T lymphocytic cells in 20s and 5min microgravity and in hypergravity and compared expression profiles to identify potential gravity-regulated genes and adaptation processes.

Publication Title

Dynamic gene expression response to altered gravity in human T cells.

Sample Metadata Fields

Cell line

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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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