ArticleGenomics data2015
Whole transcriptome RNA sequencing data from blood leukocytes derived from Parkinson's disease patients prior to and following deep brain stimulation treatment.
Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 24 citations in OpenAlex.
- Epigenetic mechanisms of Parkinson's disease and potential epigenetic-based therapeutics.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Article
- Brain alarm by self-extracellular nucleic acids: from neuroinflammation to neurodegeneration.Journal of biomedical science · 2023Review
- Genes critical for development and differentiation of dopaminergic neurons are downregulated in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2023Article
- MALAT1 lncRNA and Parkinson's Disease: The role in the Pathophysiology and Significance for Diagnostic and Therapeutic Approaches.Molecular neurobiology · 2022Review
- Epigenetic Regulation of Neuroinflammation in Parkinson's Disease.International journal of molecular sciences · 2021Review
- The effect of cell isolation methods on the human transcriptome profiling and microbial transcripts of peripheral blood.Molecular biology reports · 2021Article
- Impact of storage conditions on peripheral leukocytes transcriptome.Molecular biology reports · 2021Article
- Comparative evaluation for the globin gene depletion methods for mRNA sequencing using the whole blood-derived total RNAs.BMC genomics · 2020Article
- LncRNA-T199678 Mitigates α-Synuclein-Induced Dopaminergic Neuron Injury via miR-101-3p.Frontiers in aging neuroscience · 2020Article
- Article
- Long noncoding RNAs in neurodevelopment and Parkinson's disease.Animal models and experimental medicine · 2019Review
- Frailty in middle age is associated with frailty status and race-specific changes to the transcriptome.Aging · 2019Article
- Single-cell RNA sequencing to explore immune cell heterogeneity.Nature reviews. Immunology · 2018Review
- The Effects of PPAR Stimulation on Cardiac Metabolic Pathways in Barth Syndrome Mice.Frontiers in pharmacology · 2018Article
- Evaluation of RNA Blood Biomarkers in the Parkinson's Disease Biomarkers Program.Frontiers in aging neuroscience · 2018Article
- Article
- Characters, functions and clinical perspectives of long non-coding RNAs.Molecular genetics and genomics : MGG · 2016Review
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent evidence demonstrates the power of RNA sequencing (RNA-Seq) for identifying valuable and urgently needed blood biomarkers and advancing both early and accurate detection of neurological diseases, and in particular Parkinson's disease (PD). RNA sequencing technology enables non-biased, high throughput, probe-independent inspection of expression data and high coverage and both quantification of global transcript levels as well as the detection of expressed exons and junctions given a sufficient sequencing depth (coverage). However, the analysis of sequencing data frequently presents a bottleneck. Tools for quantification of alternative splicing from sequenced libraries hardly exist at the present time, and methods that support multiple sequencing platforms are especially lacking. Here, we describe in details a whole RNA-Seq transcriptome dataset produced from PD patient's blood leukocytes. The samples were taken prior to, and following deep brain stimulation (DBS) treatment while being on stimulation and following 1 h of complete electrical stimulation cessation and from healthy control volunteers. We describe in detail the methodology applied for analyzing the RNA-Seq data including differential expression of long noncoding RNAs (lncRNAs). We also provide details of the corresponding analysis of in-depth splice isoform data from junction and exon reads, with the use of the software AltAnalyze. Both the RNA-Seq raw (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE42608) and analyzed data (https://www.synapse.org/#!Synapse:syn2805267) may be found valuable towards detection of novel blood biomarkers for PD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.