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APOE-Ɛ4 astrocytes exhibit deficits in endocytic uptake that contribute to the delayed maturation of neuronal network activity and alter neuronal tau uptake in co-cultures of human iPSC-derived brain cells

GSE171700 Homo sapiens (human) RNA-seq (gene expression) 47 samples Submitted 2024/04/08 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 47 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
47 samples: 12 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.
Summary (written by the submitters)
To explore the mechanistic basis of ApoE Ɛ4 vs ApoE Ɛ3 protein expression on endocytic pathways responsible for tau uptake in neurons and astrocytes and the maturation of neuronal networks, we have developed genotype matched co-cultures of iPSC derived astrocytes and neurons derived from isogenic triads of iPSC lines generated by the ADAPTED consortium (Schmid et al., 2019, 2020) .
Read the full summary ↓
We show that isogenic iPSC derived APOE-E4 expressing astrocytes take up less extracellular tau than APOE-E3 or APOE null astrocytes, while isogenic neurons in monoculture take up equivalent amounts of tau primarily through macropinocytosis. Co-culture of neurons with genotype matched astrocytes increases the general uptake capacity of neurons by increasing the dependence of neuronal endocytosis on dynamin mediated pathways. Co-culture also enhances the emergence of spontaneous neuronal activity; however, the emergence of synchronous network activity is impaired by the expression of APOE-E4 genotype. We performed RNA-Seq on the astrocytes, neurons and co-cultures to understand the molecular pathway changes associated with different ApoE genotypes.
This dataset
Open GSE171700 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 GSE171700_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 PRJNA720620 and SRA study SRP314009. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly with about 4 replicates each
APOE e3 astrocyte ×4 APOE e3 co-culture ×4 APOE e3 neuron ×4 APOE e3 iPSC ×4 APOE KO co-culture ×4 APOE KO neuron ×4 APOE KO iPSC ×4 APOE e4 astrocyte ×4 +4 more

Supports a between-group comparison across 47 samples.

How we read this: 12 replicated groups read from 47 sample titles; they account for 47 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

+ 7 more — browse all 47 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.