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Transcriptomics analysis of post-mortem substantia nigra samples from Parkinson’s disease patients and controls.

GSE168496 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2023/01/19 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 16 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
16 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Purpose: Parkinson’s disease (PD) is one of the most common neurological movement disorders. In the incidence and the clinical features of PD, significant gender differences have been observed. While males have a higher disease prevalence and are more frequently affected by muscle rigidity, females present more often with disabling tremors.
Read the full summary ↓
The molecular mechanisms behind these disease-associated gender differences are still largely unknown, and a detailed understanding of the factors involved may open new avenues for pharmacological disease modification. Methods: To address this gap, we have conducted a meta-analysis of disease-associated molecular gender differences in brain transcriptomics data from PD case/control studies. We studied gender-dependent expression changes in individual genes and using systems level pathway and network analyses to identify coordinated gender-related molecular alterations. In each analysis, both gender-specific changes (significant alteration in only one gender) and gender-dimorphic changes (changes in both genders, but with opposite direction) were identified. Results: These analyses revealed significant disease-associated sex differences in immune response processes and mitochondrial pathways, and highlight regulatory factors, such as the transcription factor NR4A2, whose activity changes can explain ensuing alterations propagated through gene regulatory cascades. Overall, significant gender disparities were observed in PD-associated transcriptomic changes, resulting in coordinated modulations of molecular processes. Among the regulatory factors involved, NR4A2 has previously been reported to harbor rare mutations in familial PD and its pharmacological activation conferred neuroprotective effects in toxin-induced models of Parkinsonism. NR4A2 may therefore be of interest as a candidate target for further preclinical studies on addressing gender-related pathological features of PD.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE168496_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA707560 and SRA study SRP309824. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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