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accession-icon GSE99039
A blood-based gene signature characterizing Idiopathic Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 558 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Establishing reliable biomarkers for assessing and validating clinical diagnosis at early prodromal stages of Parkinson’s disease is crucial for developing therapies to slow or halt disease progression. Here, we present the largest study to date using whole blood gene expression profiling from over 500 individuals to identify an 87-gene blood-based signature. Our gene signature effectively differentiates between idiopathic PD patients and controls in both a validation cohort and an independent test cohort, and further highlights mitochondrial metabolism and ubiquitination/proteasomal degradation as potential pathways disrupted in Parkinson’s disease.

Publication Title

Analysis of blood-based gene expression in idiopathic Parkinson disease.

Alternate Accession IDs

E-GEOD-99039

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE47798
Perinatal-Estrogen-Induced Changes in Gene Expression Related to Brain Sexual Differentiation in Mice
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon

Description

Sexual dimorphism of the behaviors or physiological functions in mammals is mainly due to the sex difference of the brain. The goal of this study is to identify genes mediating sexaul dimorphism of the brain.

Publication Title

Microarray analysis of perinatal-estrogen-induced changes in gene expression related to brain sexual differentiation in mice.

Alternate Accession IDs

E-GEOD-47798

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE24207
mRNA analysis in different mouse tissues
  • organism-icon Mus musculus
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon

Description

The functioning of a specific tissue depends on the expression pattern of the different genes. We used microarrays to compare gene expression across different murine tissues, to get a better understanding in the expression pattern and functioning of the different tissues. With this analysis, we were not only able to identify genes that were specifically expressed in a spicific tissue but, as important, we also identified genes that were specifically repressed in a tissue, compared to al the other analysed tissues.

Publication Title

Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation.

Alternate Accession IDs

E-GEOD-24207

Sample Metadata Fields

Sex, Specimen part

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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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