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A single-cell atlas of human brain middle temporal gyrus reveals sex-specific and cell-type-specific gene expression regulation in Alzheimer’s disease

GSE188545 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2022/06/01 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
12 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.
Summary (written by the submitters)
Alzheimer’s disease (AD), the most common age-related neurodegenerative disease, is closely associated with and manifested by neuroinflammation, yet the alteration of immune landscape in AD is largely unknown, preventing a deeper mechanistic understanding of neuroinflammation in AD. Two thirds of AD patients are females, and women have a higher risk of developing AD.
Read the full summary ↓
Women with AD have more extensive brain histological changes than men with AD, more severe cognitive symptoms, and more severe neurodegeneration, suggesting that the disease affects female and male brains differentially. Despite evident AD sex variance, mechanisms and pathways are still poorly understood. Thus, a focus on sex differences in AD is essential to move the field towards effective interventions and to develop sex-specific therapies. To understand the cellular heterogeneity and disease-associated cellular changes in human AD brain, we performed unbiased massively parallel single nucleus RNA sequencing with postmortem frozen human brain tissues of middle temporal gyrus, a brain cortical region strongly affected by AD. From 12 individuals with and without AD, we isolated brain nuclei by sucrose gradient ultracentrifugation, generated single nucleus libraries with 10x Chromium platform (10x Genomics), and sequenced on NovaSeq6000 S4 sequencer (Illumina). We integrated snRNA-seq data of human brains from these 12 individuals of both Alzheimer’s Disease (AD, Braak Stage V/VI, n = 6) and age-matched healthy controls (HC, Braak Stage I/II, n = 6) by single nucleus analysis using Seurat. After quality control filtering, we profiled and analyzed 64,845 single nucleus transcriptomes, clustered all the cells jointly across the 12 donors that include 6 females and 6 males, and identified and annotated the major cell types of the human brain by interrogating the expression patterns of known gene markers, including neurons, excitatory neurons, inhibitory neurons, astrocytes, microglia, oligodendrocytes, oligodendrocyte precursor cells, endothelial cells, and pericytes.
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 GSE188545_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA779392 and SRA study SRP345420. Searching any of these in the dataset finder brings you back here.

Samples in this study

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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.