German cockroach subcutaneous immunotherapy: Impact on nasal responses and allergen-specific immunity among urban children with asthma
RNA-seq (gene expression) · human · 266 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
- 266 samples: 102 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.
- Paper
- A pediatric randomized, controlled trial of German cockroach subcutaneous immunotherapyThe Journal of allergy and clinical immunology · 2024
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 GSE250580_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 PRJNA1054571 and SRA study SRP478951. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 204 samples.
How we read this: 102 replicated groups read from 266 sample titles; they account for 204 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.
- GSM7981920 28-09-0001-4_pre_0 28-09-0001-4_pre
- GSM7981921 28-09-0001-4_post_0 28-09-0001-4_post
- GSM7981922 28-09-0002-0_pre_0 28-09-0002-0_pre
- GSM7981923 28-09-0002-0_post_0 28-09-0002-0_post
- GSM7981924 28-09-0004-2_pre_0 28-09-0004-2_pre
- GSM7981925 28-09-0004-2_post_0 28-09-0004-2_post
- GSM7981926 28-07-0001-2_post_0 28-07-0001-2_post
- GSM7981927 28-07-0002-3_post_0
- GSM7981928 28-07-0006-8_pre_0
- GSM7981929 28-07-0006-8_post_0 28-07-0006-8_post
- GSM7981930 28-07-0005-7_pre_0 28-07-0005-7_pre
- GSM7981931 28-07-0005-7_post_0 28-07-0005-7_post
- GSM7981932 28-06-0001-1_pre_0 28-06-0001-1_pre
- GSM7981933 28-06-0001-1_post_0 28-06-0001-1_post
- GSM7981934 28-06-0003-3_pre_0 28-06-0003-3_pre
- GSM7981935 28-06-0003-3_post_0 28-06-0003-3_post
- GSM7981936 28-06-0004-4_pre_0 28-06-0004-4_pre
- GSM7981937 28-06-0004-4_post_0 28-06-0004-4_post
- GSM7981938 28-06-0014-3_pre_0 28-06-0014-3_pre
- GSM7981939 28-06-0014-3_post_0 28-06-0014-3_post
- GSM7981940 28-03-0003-7_pre_0 28-03-0003-7_pre
- GSM7981941 28-03-0003-7_post_0 28-03-0003-7_post
- GSM7981942 28-03-0002-6_pre_0 28-03-0002-6_pre
- GSM7981943 28-03-0004-8_pre_0 28-03-0004-8_pre
- GSM7981944 28-03-0004-8_post_0 28-03-0004-8_post
- GSM7981945 28-05-0001-0_post_0 28-05-0001-0_post
- GSM7981946 28-09-0001-4_pre_12 28-09-0001-4_pre
- GSM7981947 28-09-0001-4_post_12 28-09-0001-4_post
- GSM7981948 28-09-0002-0_pre_12 28-09-0002-0_pre
- GSM7981949 28-09-0002-0_post_12 28-09-0002-0_post
- GSM7981950 28-03-0005-4_pre_0 28-03-0005-4_pre
- GSM7981951 28-03-0005-4_post_0 28-03-0005-4_post
- GSM7981952 28-03-0006-0_pre_0 28-03-0006-0_pre
- GSM7981953 28-03-0006-0_post_0
- GSM7981954 28-03-0010-8_pre_0
- GSM7981955 28-03-0010-8_post_0
- GSM7981956 28-06-0010-4_pre_0 28-06-0010-4_pre
- GSM7981957 28-06-0010-4_post_0 28-06-0010-4_post
- GSM7981958 28-07-0008-5_pre_0 28-07-0008-5_pre
- GSM7981959 28-07-0008-5_post_0 28-07-0008-5_post
+ 226 more — browse all 266 samples with per-sample file links →
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- GSE235093 Pre-existing skin-resident CD8 and γδ T cell circuits mediate immune response in Merkel cell carcinoma and Predict immunotherapy efficacy 333 samples shares immunotherapy
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- GSE307931 Circulating transcriptome analysis finds gene signatures and immune cell activation and abundance predict response to immunotherapy in bladder cancer 164 samples shares immunotherapy
- GSE310957 DeCAF redefines fibroblast states uncovering multidimensional tumor-stroma relationships driving clinical tumor progression and immunotherapy response [RNA-Seq] 129 samples shares immunotherapy
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.