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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.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE21041
Transcriptome analysis of miR-144/451-null bone marrow erythroid cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

microRNA miR-144/451 is highly expressed during erythropoiesis. We deleted the miR-144/451 gene locus in mice and compared the transcriptomes of miR-144/451-null bone marrow erythroid precursors to stage-matched wild-type control cells.

Publication Title

miR-451 protects against erythroid oxidant stress by repressing 14-3-3zeta.

Sample Metadata Fields

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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