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RNA Expression Profiling in Lymphoblastoid Cell Lines from Mutated and Non-Mutated Amyotrophic Lateral Sclerosis Patients

GSE271030 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2024/09/01 Platform GPL15433
At a glance

RNA-seq (gene expression) · human · 20 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
20 samples: 6 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
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.
Paper
RNA expression profiling in lymphoblastoid cell lines from mutated and non-mutated amyotrophic lateral sclerosis patientsThe journal of gene medicine · 2024
Summary (written by the submitters)
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by the death of upper and lower motor neurons with unknown etiology. The difficulty to recover biological material from patients led to employ lymphoblastoid cell lines (LCLs) as a model for ALS, since many pathways, typically located in neurons, are also activated in these cells.
Read the full summary ↓
To investigate the expression of coding and long noncoding RNAs in LCLs, a transcriptomic profiling of Sporadic ALS (SALS) and mutated patients (FUS, TARDBP, C9ORF72 and SOD1), and matched controls was realized. Thus, Differentially Expressed Genes (DEGs) were investigated among the different subgroups of patients. Peripheral Blood Mononuclear Cells (PBMCs) were isolated and immortalized into LCLs via Epstein-Barr Virus (EBV) infection, RNA was extracted and RNA-sequencing analysis was performed. Gene expression profiles of LCLs were genetic-background specific, indeed only 12 genes were commonly deregulated in all groups. Nonetheless, pathways enriched by DEGs in each group were also compared and a total of 89 KEGG terms were shared among all patients. Eventually, the similarity of affected pathways was also assessed when our data were matched with a transcriptomic profile realized in PBMCs of the same patients. Thus, we concluded that LCLs are a good model for the study of RNA deregulation in ALS.
Published in
RNA expression profiling in lymphoblastoid cell lines from mutated and non-mutated amyotrophic lateral sclerosis patients
Garau J, Garofalo M, Dragoni F et al. · The journal of gene medicine 2024 · PMID 38967638 · doi:10.1002/jgm.3711
This dataset
Open GSE271030 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE271030_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1129447 and SRA study SRP516762. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38967638) ↗
Study design
6 conditions, mostly with about 4 replicates each
Control ×4 fALS_c9orf72 ×4 sALS ×4 fALS_TARDBP ×3 fALS_SOD1 ×3 fALS_FUS ×2

Supports a between-group comparison across 20 samples.

How we read this: 6 replicated groups read from 20 sample titles; they account for 20 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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