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Human CD14+ monocytes from early inflammatory arthritis patients before and after a 5day-and 30day-period of methotrexate treatment

GSE279719 Homo sapiens (human) RNA-seq (gene expression) 72 samples Submitted 2026/04/01 Platform GPL23227
At a glance

RNA-seq (gene expression) · human · 72 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
72 samples: 72 samples, each with a distinct title — no replicated groupsGroups 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
Monocytes from inflammatory arthritis patients accumulate methotrexate and their transcriptome predicts methotrexate clinical responseCellular and molecular life sciences : CMLS · 2026
Summary (written by the submitters)
Methotrexate (MTX) continues to be the anchor drug for patients with rheumatoid arthritis and psoriatic arthritis (RA and PsA) both as monotherapy as well as in combination with other drugs because of its efficacy, safety, low relative cost and the possibility of individualizing dose and method of administration. Following low-dose administration, MTX typically reaches peak plasma concentrations after 1-2 h, and almost completely disappears from the circulation by 24 h.
Read the full summary ↓
Cellular uptake of MTX is mediated by the Reduced Folate Carrier. Once internalize, MTX is converted into MTX-polyglutamates (MTX-PG), a process that is catalyzed by folylpolyglutamate synthase (FPGS), which sequentially adds glutamic acid residues to MTX, and is one of the critical factors for the therapeutic action of MTX. We carried out a clinical observational study to evaluate the influence of MTX-PG levels on the molecular inflammatory state of monocytes from arthritis patients and relate to the clinical efficacy of MTX.
Published in
Monocytes from inflammatory arthritis patients accumulate methotrexate and their transcriptome predicts methotrexate clinical response
Ríos I, Schiaffino MT, López-Navarro B et al. · Cellular and molecular life sciences : CMLS 2026 · PMID 41840229 · doi:10.1007/s00018-026-06162-9
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 GSE279719_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 PRJNA1174145 and SRA study SRP539375. Searching any of these in the dataset finder brings you back here.

Study design
72 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 72 sample titles: 72 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

+ 32 more — browse all 72 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.