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Functional characterization of Central Nervous System (CNS) and peripheral immune responses in Alzheimer's Disease after Bacillus Calmette Guerin (BCG) vaccination in older adults.

GSE280720 Homo sapiens (human) RNA-seq (gene expression) 64 samples Submitted 2026/04/27 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 64 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
64 samples: 63 distinct titles, 1 of them repeatedGroups 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
Bacillus Calmette-Guérin (BCG) immunotherapy reprograms CNS immunity and alters Alzheimer's biomarkers: results from two open-label clinical trialsCommunications medicine · 2026
Summary (written by the submitters)
Cerebrospinal Fluid cells collected from older adults before and after BCG vaccination were studied for evaluating celltype specific functional responsivity to stimulation with antigens. Peripheral blood mononuclear cells were also studied to compare the peripheral and central nervous system (CNS) responsivities.This datase is part of the following.
Read the full summary ↓
NCT04507126 - A Pilot Study of the Effects of Bacillus Calmette-Guérin (BCG) Immunization on Cerebrospinal Fluid and Blood-based Biomarkers in Older Adults - ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT04507126 NCT05004688 - A Trial to Evaluate the Effects of BCG in Adults With MCI and Mild-to-Moderate AD - - ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT05004688
Published in
Bacillus Calmette-Guérin (BCG) immunotherapy reprograms CNS immunity and alters Alzheimer's biomarkers: results from two open-label clinical trials
Weinberg MS, Kodali MC, Li Z et al. · Communications medicine 2026 · PMID 42393277 · doi:10.1038/s43856-026-01691-7
This dataset
Open GSE280720 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 GSE280720_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 PRJNA1180096 and SRA study SRP542243. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42393277) ↗
Study design
63 distinct titles, 1 of them repeated
242-CSF-3-0mo-Ctrl ×2

How we read this: Read from 64 sample titles: 63 distinct titles with little repetition. 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

+ 24 more — browse all 64 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.