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Microglial APOE3 Christchurch protects neurons from Tau pathology in a human iPSC-based model of Alzheimer's disease

GSE195638 Homo sapiens (human) RNA-seq (gene expression) 2 samples Submitted 2024/12/30 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 2 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
2 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.
Paper
Microglial APOE3 Christchurch protects neurons from Tau pathology in a human iPSC-based model of Alzheimer's diseaseCell reports · 2024
Summary (written by the submitters)
We generated microglia-like cells (MG) from iPSCs and fibroblast-direct reprogrammed neurons (DRNs), which preserves the aging signatures. We performed RNA seq analysis on microglia which cocultured with either old DRNs or young DRNs. By studying the microglia cocultured with DRNs, we identified CX3CL1 as the critical communication factor that is defective in the DRNs derived from old and Alzheimer’s disease (AD) fibroblasts in comparison to from the young fibroblasts.
Read the full summary ↓
Microglia displayed weakened phagocytosis activity when cocultured with old DRNs, comparing to young DRNs. The myosin-binding protein Lymphocyte-specific factor 1 (LSP1) could be a potential target of CX3CL1. The reduction of phagocytosis in old DRN MG coculture could be due to lack of LSP1 in microglia. Furthermore, supplementing the old or AD DRN-microglia coculture system with CX3CL1 ameliorated the phagocytosis defect.
Published in
Microglial APOE3 Christchurch protects neurons from Tau pathology in a human iPSC-based model of Alzheimer's disease
Sun GG, Wang C, Mazzarino RC et al. · Cell reports 2024 · PMID 39612244 · doi:10.1016/j.celrep.2024.114982
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 GSE195638_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 PRJNA801614 and SRA study SRP357209. Searching any of these in the dataset finder brings you back here.

Samples in this study

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