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Promoter mutagenesis and a massively parallel reporter screen of the MAPT locus identifies cis-regulatory elements and genetic variation effects

GSE325670 Homo sapiens (human) RNA-seq (gene expression) 140 samples Submitted 2026/03/23 Platform GPL18573Platform GPL24676Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 140 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
140 samples: 29 conditions, mostly with about 5 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
Promoter mutagenesis and a massively parallel reporter screen of the MAPT locus identifies cis-regulatory elements and genetic variation effectsbioRxiv : the preprint server for biology · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Promoter mutagenesis and a massively parallel reporter screen of the MAPT locus identifies cis-regulatory elements and genetic variation effects
Hauser RM, Limbo HL, Brazell JN et al. · bioRxiv : the preprint server for biology 2026 · PMID 41959502 · doi:10.64898/2026.03.06.710116
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 GSE325670_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 PRJNA1441453. Searching any of these in the dataset finder brings you back here.

Study design
29 conditions, mostly with about 5 replicates each
Mixed Neuron Culture, CRISPRi AAV Safe Harbor, ×9 Mixed Neuron Culture, CRISPRi MAPT promoter, ×9 Mixed Neuron Culture, CRISPRi region r1, ×5 Mixed Neuron Culture, CRISPRi region r2, ×5 Mixed Neuron Culture, CRISPRi region r3, ×5 Mixed Neuron Culture, CRISPRi region r4, ×5 Mixed Neuron Culture, CRISPRi region r5, ×5 Mixed Neuron Culture, CRISPRi region r6, ×5 +27 more

Supports a between-group comparison across 134 samples.

How we read this: 29 replicated groups read from 140 sample titles; they account for 134 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

+ 100 more — browse all 140 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.