Dysfunctional neutrophil Type 1 interferon responses in preschool children with recurrent wheezing and IL-4-mediated aeroallergen sensitization
RNA-seq (gene expression) · human · 134 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
- 134 samples: 67 conditions, mostly in duplicateGroups 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 GSE261070_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 PRJNA1085216 and SRA study SRP493829. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 134 samples.
How we read this: 67 replicated groups read from 134 sample titles; they account for 134 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.
- GSM8133636 Neutrophil, PW_001_rep1 Neutrophil, PW_001
- GSM8133637 Neutrophil, PW_001_rep2 Neutrophil, PW_001
- GSM8133638 Neutrophil, PW_003_rep1 Neutrophil, PW_003
- GSM8133639 Neutrophil, PW_003_rep2 Neutrophil, PW_003
- GSM8133640 Neutrophil, PW_004_rep1 Neutrophil, PW_004
- GSM8133641 Neutrophil, PW_004_rep2 Neutrophil, PW_004
- GSM8133642 Neutrophil, PW_005_rep1 Neutrophil, PW_005
- GSM8133643 Neutrophil, PW_005_rep2 Neutrophil, PW_005
- GSM8133644 Neutrophil, PW_006_rep1 Neutrophil, PW_006
- GSM8133645 Neutrophil, PW_006_rep2 Neutrophil, PW_006
- GSM8133646 Neutrophil, PW_007_rep1 Neutrophil, PW_007
- GSM8133647 Neutrophil, PW_007_rep2 Neutrophil, PW_007
- GSM8133648 Neutrophil, PW_008_rep1 Neutrophil, PW_008
- GSM8133649 Neutrophil, PW_008_rep2 Neutrophil, PW_008
- GSM8133650 Neutrophil, PW_009_rep1 Neutrophil, PW_009
- GSM8133651 Neutrophil, PW_009_rep2 Neutrophil, PW_009
- GSM8133652 Neutrophil, PW_010_rep1 Neutrophil, PW_010
- GSM8133653 Neutrophil, PW_010_rep2 Neutrophil, PW_010
- GSM8133654 Neutrophil, PW_012_rep1 Neutrophil, PW_012
- GSM8133655 Neutrophil, PW_012_rep2 Neutrophil, PW_012
- GSM8133656 Neutrophil, PW_013_rep1 Neutrophil, PW_013
- GSM8133657 Neutrophil, PW_013_rep2 Neutrophil, PW_013
- GSM8133658 Neutrophil, PW_016_rep1 Neutrophil, PW_016
- GSM8133659 Neutrophil, PW_016_rep2 Neutrophil, PW_016
- GSM8133660 Neutrophil, PW_017_rep1 Neutrophil, PW_017
- GSM8133661 Neutrophil, PW_017_rep2 Neutrophil, PW_017
- GSM8133662 Neutrophil, PW_018_rep1 Neutrophil, PW_018
- GSM8133663 Neutrophil, PW_018_rep2 Neutrophil, PW_018
- GSM8133664 Neutrophil, PW_020_rep1 Neutrophil, PW_020
- GSM8133665 Neutrophil, PW_020_rep2 Neutrophil, PW_020
- GSM8133666 Neutrophil, PW_021_rep1 Neutrophil, PW_021
- GSM8133667 Neutrophil, PW_021_rep2 Neutrophil, PW_021
- GSM8133668 Neutrophil, PW_024_rep1 Neutrophil, PW_024
- GSM8133669 Neutrophil, PW_024_rep2 Neutrophil, PW_024
- GSM8133670 Neutrophil, PW_026_rep1 Neutrophil, PW_026
- GSM8133671 Neutrophil, PW_026_rep2 Neutrophil, PW_026
- GSM8133672 Neutrophil, PW_027_rep1 Neutrophil, PW_027
- GSM8133673 Neutrophil, PW_027_rep2 Neutrophil, PW_027
- GSM8133674 Neutrophil, PW_028_rep1 Neutrophil, PW_028
- GSM8133675 Neutrophil, PW_028_rep2 Neutrophil, PW_028
+ 94 more — browse all 134 samples with per-sample file links →
- GSE275494 Non-canonical roles of CFH in retinal pigment epithelial cells revealed by dysfunctional rare CFH variants 90 samples shares dysfunctional
- GSE261258 Human regulatory memory B cells defined by expression of TIM-1 and TIGIT are dysfunctional in Multiple Sclerosis. 89 samples shares dysfunctional
- GSE230738 Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV 71 samples shares dysfunctional
- GSE277575 Large B-cell lymphoma imprints a dysfunctional immune phenotype that persists years after treatment 62 samples shares dysfunctional
- GSE302999 Chronic NK cell activation results in a dysfunctional, tissue resident-like state mediated by KLF2 deficiency 59 samples shares dysfunctional
- GSE256188 Super-enhancers reorganization controls re-sensitization of oxaliplatin-resistant FBXW7-mutated colorectal cancer 36 samples shares sensitization
- GSE231628 Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV 33 samples shares dysfunctional
- GSE330931 Radiopharmaceuticals enhance CAR T-cells against radio-sensitive and radio-resistant neuroblastoma by tumor sensitization and TME remodeling 32 samples shares sensitization
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.