Rhinovirus-induced gene expression patterns that distinguish between neutrophilic asthma and other asthma inflammatory phenotypes in human peripheral blood mononuclear cells
RNA-seq (gene expression) · human · 102 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
- 102 samples: 102 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.
Read the full summary ↓
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 GSE202216_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: 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 PRJNA835075 and SRA study SRP373601. 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 102 sample titles: 102 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.
- GSM6106468 13-01-008-N
- GSM6106469 15-01-008-N
- GSM6106470 25-01-030-E
- GSM6106471 27-01-030-E
- GSM6106472 30-01-032-N
- GSM6106473 34-02-001-N
- GSM6106474 36-02-001-N
- GSM6106475 64-04-001-E
- GSM6106476 66-04-001-E
- GSM6106477 67-04-022-E
- GSM6106478 69-04-022-E
- GSM6106479 85-04-028-P
- GSM6106480 87-04-028-P
- GSM6106481 88-04-029-E
- GSM6106482 90-04-029-E
- GSM6106483 91-04-030-E
- GSM6106484 93-04-030-E
- GSM6106485 94-04-031-P
- GSM6106486 96-04-031-P
- GSM6106487 103-01-071-N
- GSM6106488 105-01-071-N
- GSM6106489 106-02-007-P
- GSM6106490 108-02-007-P
- GSM6106491 115-01-061-N
- GSM6106492 117-01-061-N
- GSM6106493 121-01-075-E
- GSM6106494 123-01-075-E
- GSM6106495 133-01-083-P
- GSM6106496 135-01-083-P
- GSM6106497 139-01-087-N
- GSM6106498 141-01-087-N
- GSM6106499 142-01-089-P
- GSM6106500 144-01-089-P
- GSM6106501 145-01-094-N
- GSM6106502 147-01-094-N
- GSM6106503 151r-01-098-E
- GSM6106504 153-01-098-E
- GSM6106505 163-04-038-E
- GSM6106506 165-04-038-E
- GSM6106507 172-01-101-P
+ 62 more — browse all 102 samples with per-sample file links →
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares mononuclear, peripheral
- GSE107011 RNA-Seq profiling of 29 immune cell types and peripheral blood mononuclear cells 127 samples shares mononuclear, peripheral
- GSE326415 Paired Transcriptomic Profiling of Airspace and Peripheral Blood Mononuclear Cells in Severe ARDS 63 samples shares mononuclear, peripheral
- GSE280114 Bulk RNA-seq data of orbital fibroblasts and peripheral blood mononuclear cells (PBMCs) from thyroid eye disease patients 59 samples shares mononuclear, peripheral
- GSE295224 Dual single-cell and bulk RNA sequencing reveal transcriptional profiles underlying heterogenous host-parasite interactions in human peripheral blood mononuclear cells 42 samples shares mononuclear, peripheral
- GSE295784 Selective modulation of gene expression in activated normal human peripheral blood mononuclear cells by store-operated calcium entry blocker BTP2 40 samples shares mononuclear, peripheral
- GSE302854 Differential Transcriptome Features of Peripheral Blood Mononuclear Cells in Pulmonary Sarcoidosis with and without Extrapulmonary Lesions 40 samples shares mononuclear, peripheral
- GSE326320 Integrative transcriptomic, network, and genomic analysis of peripheral blood mononuclear cells identifies candidate gene drivers of dupilumab clinical response in atopic dermatitis patients 36 samples shares mononuclear, peripheral
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.