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Mitochondrial anomalies in induced pluripotent stem cells from Alzheimer’s disease cases with Presenilin 1 mutation

GSE253337 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2024/06/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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
36 samples: 14 conditions, mostly in duplicateGroups 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.
Summary (written by the submitters)
Presenilin 1 (PSEN1) is the most frequently mutated gene in early-onset sporadic and familial Alzheimer’s disease (FAD). The PSEN1 complex displays gamma-secretase activity and promotes cleavage of the C99-terminal fragment of the Amyloid Precursor Protein (APP) into the A42 peptide. PSEN1 is also involved in vesicle transport across ER and mitochondria in so called mitochondria associated membranes.
Read the full summary ↓
We generated induced pluripotent stem cells (iPSCs) from 5 controls and 5 FAD cases carrying the PSEN1 A246E and L286V mutations. Unexpectedly, global gene expression profile analysis of FAD iPSCs revealed profound perturbation of mitochondrial, Golgi apparatus and ER pathways. PSEN1, APP and Nicastrin were highly expressed in iPSCs and PSEN1 localized to membrane-bound organelles. FAD iPSCs grown slower and showed elevated cell death together with abnormally high A42 secretion. Mitochondrial reactive oxygen species (ROS) were elevated in FAD iPSCs and treatment with a ROS scavenger significantly improved cell death, proliferation, and DNA damage. However, it could not improve the severe ATP deficit. Inhibition of gamma-secretase activity further exacerbated the overall FAD iPSC phenotype. Cortical neurons produced from the differentiation of FAD iPSCs showed Alzheimer’s pathology and TGFb pathway hyper-activation. PSEN1-mutant iPSCs may serve as a new model to perform genome-wide genetic screens and to study FAD pathophysiology and PSEN1 cellular function.
This dataset
Open GSE253337 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 GSE253337_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 PRJNA1065335 and SRA study SRP483964. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
14 conditions, mostly in duplicate
Neuron DIV60 CTL GB2 ×4 iPSC fAD AD20 ×3 Neuron DIV60 fAD AD20 ×3 Neuron DIV60 fAD AD21 ×3 Neuron DIV60 fAD AD24 ×3 iPSC CTL GB1 ×2 iPSC CTL GB2 ×2 iPSC fAD AD7 ×2 +8 more

Supports a between-group comparison across 34 samples.

How we read this: 14 replicated groups read from 36 sample titles; they account for 34 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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