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Compartment-specific total RNA profile of Hippocampal and Cortical cells from Mesial Temporal Lobe Epilepsy tissue

GSE186334 Homo sapiens (human) RNA-seq (gene expression) 68 samples Submitted 2022/03/31 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 68 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
68 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)
Mesial temporal lobe epilepsy (mTLE) is a chronic neurological disease characterized by recurrent seizures. The pathogenic mechanisms underlying TLE involve defects in post-transcriptional regulation of gene expression. So far, transcriptome profiles from epileptic tissue have been performed using whole cells, thereby lacking information on RNA localization and function at a subcellular level.
Read the full summary ↓
In this project, we set out to understand the compartment-specific total RNA profile of human mTLE tissue samples. For this, we had established a protocol to isolate cytoplasmic and nuclear compartments from human hippocampal tissue. Subcellular RNA was isolated from resected hippocampal (HC) and neo-cortical (Cx) tissue from mTLE no hippocampal sclerosis (non-HS) and mTLE HS International League Against Epilepsy (ILAE) Type 1 or mTLE+HS patients and postmortem control tissue. Later, we used total RNA sequencing (RNA-seq) to profile for the distinct RNA localization in mTLE in comparison to postmortem control tissue and identified disease related pathways in individual cell compartments. Here we report the total RNAseq (coding and non-coding) data.
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 GSE186334_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 PRJNA773413 and SRA study SRP342557. Searching any of these in the dataset finder brings you back here.

Samples in this study

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