Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Whole-transcriptome high-throughput RNA sequencing of blood leukocytes from Parkinson's disease human patients pre- and post-deep brain stimulation


ABSTRACT: The given data set is the first deep sequencing transcriptome-wide data set of human Parkinson's disease (PD) patients RNA. The data set was produced from blood leukocytes of PD patients, from the same patients following deep brain stimulation (DBS), and from matched healthy control volunteers. Post-DBS samples were taken from the patients while being on electrical stimulation (ON-Stim), and following one hour off of electrical stimulation (OFF-Stim state). We have previously shown that gene expression changes, and in particular, alternative splicing changes, are observed in blood leukocytes and may contribute to PD and being subjected to regulation following DBS. Here, SOLiD RNA-Seq was applied to study the transcriptome of PD patients. Exon- and junction-level analyses revealed deep insight into both differential expression and alternative splicing regulation in PD blood leukocytes prior to and following DBS both on and off electrical stimulation. This transcriptome genome-wide data obtained through high-throughput sequencing of RNA produced from human Parkinson's disease (PD) patients blood leukocytes prior to treatment and following deep brain stimulation (DBS) neurosurgical treatment may yield insights into the molecular mechanisms that underlie the pathogenesis of PD and treatment efficacy. It may further enable the development of future diagnostics and therapeutics for PD. Blood leukocyte RNA was analyzed from 3 healthy control volunteers, and from 3 PD patients pre-DBS, ON-Stim, and OFF-Stim.

ORGANISM(S): Homo sapiens

SUBMITTER: Lilach Soreq 

PROVIDER: E-GEOD-42608 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Long non-coding RNA and alternative splicing modulations in Parkinson's leukocytes identified by RNA sequencing.

Soreq Lilach L   Guffanti Alessandro A   Salomonis Nathan N   Simchovitz Alon A   Israel Zvi Z   Bergman Hagai H   Soreq Hermona H  

PLoS computational biology 20140320 3


The continuously prolonged human lifespan is accompanied by increase in neurodegenerative diseases incidence, calling for the development of inexpensive blood-based diagnostics. Analyzing blood cell transcripts by RNA-Seq is a robust means to identify novel biomarkers that rapidly becomes a commonplace. However, there is lack of tools to discover novel exons, junctions and splicing events and to precisely and sensitively assess differential splicing through RNA-Seq data analysis and across RNA-S  ...[more]

Similar Datasets

2014-07-16 | GSE42608 | GEO
2012-10-18 | E-GEOD-41154 | biostudies-arrayexpress
2010-10-07 | E-GEOD-21323 | biostudies-arrayexpress
2013-11-21 | E-GEOD-40915 | biostudies-arrayexpress
2016-07-03 | E-GEOD-73831 | biostudies-arrayexpress
2011-06-01 | E-GEOD-24198 | biostudies-arrayexpress
2011-03-31 | E-GEOD-22830 | biostudies-arrayexpress
2015-05-22 | E-GEOD-37591 | biostudies-arrayexpress
2012-01-26 | E-GEOD-33866 | biostudies-arrayexpress
2016-01-26 | E-GEOD-65320 | biostudies-arrayexpress