Mepolizumab-induced Changes in Nasal Methylome and Transcriptome to Predict Response in Asthma
DNA methylation · human · 54 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Samples
- 54 samples: 54 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
- Mepolizumab-induced Changes in Nasal Methylome and Transcriptome to Predict Response in AsthmaAmerican journal of respiratory and critical care medicine · 2024
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE274410_RAW.tar (it can run to tens of gigabytes).
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: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1146373 and SRA study SRP525369. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 54 sample titles: 54 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.
- GSM8448599 patient 1 baseline
- GSM8448600 patient 1, 3 months post mepolizumab treatment
- GSM8448601 patient 2 baseline
- GSM8448602 patient 2, 3 months post mepolizumab treatment
- GSM8448603 patient 3 baseline
- GSM8448604 patient 3, 3 months post mepolizumab treatment
- GSM8448605 patient 4 baseline
- GSM8448606 patient 4, 3 months post mepolizumab treatment
- GSM8448607 patient 5 baseline
- GSM8448608 patient 5, 3 months post mepolizumab treatment
- GSM8448609 patient 6 baseline
- GSM8448610 patient 6, 3 months post mepolizumab treatment
- GSM8448611 patient 7 baseline
- GSM8448612 patient 7, 3 months post mepolizumab treatment
- GSM8448613 patient 8 baseline
- GSM8448614 patient 8, 3 months post mepolizumab treatment
- GSM8448615 patient 9 baseline
- GSM8448616 patient 9, 3 months post mepolizumab treatment
- GSM8448617 patient 11 baseline
- GSM8448618 patient 11, 3 months post mepolizumab treatment
- GSM8448619 patient 12 baseline
- GSM8448620 patient 12, 3 months post mepolizumab treatment
- GSM8448621 patient 13 baseline
- GSM8448622 patient 13, 3 months post mepolizumab treatment
- GSM8448623 patient 14 baseline
- GSM8448624 patient 14, 3 months post mepolizumab treatment
- GSM8448625 patient 15 baseline
- GSM8448626 patient 15, 3 months post mepolizumab treatment
- GSM8448627 patient 17 baseline
- GSM8448628 patient 17, 3 months post mepolizumab treatment
- GSM8448629 patient 18 baseline
- GSM8448630 patient 18, 3 months post mepolizumab treatment
- GSM8448631 patient 19 baseline
- GSM8448632 patient 19, 3 months post mepolizumab treatment
- GSM8448633 patient 20 baseline
- GSM8448634 patient 20, 3 months post mepolizumab treatment
- GSM8448635 patient 21 baseline
- GSM8448636 patient 21, 3 months post mepolizumab treatment
- GSM8448637 patient 24 baseline
- GSM8448638 patient 24, 3 months post mepolizumab treatment
+ 14 more — browse all 54 samples with per-sample file links →
- GSE334345 Exploratory investigation of changes in blood transcriptome following mepolizumab treatment for asthma 54 samples shares changes, asthma
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- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares changes
- GSE235090 Pre-existing skin-resident CD8 and γδ T cell circuits mediate immune response in Merkel cell carcinoma and Predict immunotherapy efficacy [scRNA_tissue] 192 samples shares predict
- GSE275870 Expression profiling of primary and metastatic oral squamous cell carcinoma identifies progression-associated transcriptome changes and therapeutic vulnerabilities 108 samples shares changes
- GSE165489 Blood gene expression changes in response to exposure to dust containing silica 86 samples shares changes
- GSE271689 Enhancing Immunotherapy Outcomes: Spatial Multi-Omics Predictive Models for Non-Small Cell Lung Cancer 586 samples shares predict
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.