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Whole transcriptome gene expression in Alzheimer's disease (AD) patients [lncRNA]

GSE248417 Homo sapiens (human) Non-coding RNA profiling 98 samples Submitted 2026/03/11 Platform GPL24676
At a glance

Non-coding RNA profiling · human · 98 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
98 samples: 49 × Blood_AD vs 49 × Blood_ControlGroups 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
An RNA biomarker panel for the diagnosis of Alzheimer's disease from whole bloodAlzheimer's research & therapy · 2026
Summary (written by the submitters)
Alzheimer disease (AD) is the most common type of dementia. It is a progressive disease initially characterized by memory loss and leading to loss of the ability to respond to the environment. Currently, there is no single molecular or imaging test that can establish an AD diagnosis. A clinical diagnosis is often the results of multiple cognitive tests, spinal fluid or other bodily fluid tests for specific biomarkers and brain imaging, and it is often a diagnosis of exclusion for other diseases.
Read the full summary ↓
We utilized a whole transcriptome sequencing approach to analyze gene expression in AD patients and control subjects blood samples with the goal of developing a novel panel of biomarkers for the disease. Whole blood sample were collected from 50 AD patients and 50 matched controls. AD patients were defined by a clinical diagnosis supported by 3 cognitive tests (MMSE, ADAS, CDR). Healthy donors have an unremarkable clinical history and their scores in the 3 cognitive tests are within normal ranges.
Published in
An RNA biomarker panel for the diagnosis of Alzheimer's disease from whole blood
Paz S, Robishaw JD, Caputi M · Alzheimer's research & therapy 2026 · PMID 41620770 · doi:10.1186/s13195-026-01977-x
This dataset
Open GSE248417 in finder → Find more human 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 GSE248417_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 ↗

Also filed as BioProject PRJNA1043721 and SRA study SRP473395. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41620770) ↗
Study design
49 × Blood_AD vs 49 × Blood_Control

Supports a between-group comparison across 98 samples.

How we read this: 2 replicated groups read from 98 sample titles; they account for 98 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

+ 58 more — browse all 98 samples with per-sample file links →

Datasets on a similar topic

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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.