Benralizumab treatment in patients with severe asthma: A comparative analysis of T-cell gene expression profiles and identification of response-associated genes
RNA-seq (gene expression) · human · 34 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
- 34 samples: 17 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
- Identification of potential transcriptomic and microRNA markers to assess benralizumab effectivenessThe Journal of allergy and clinical immunology · 2025
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 GSE290782_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 PRJNA1230105 and SRA study SRP567052. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 34 samples.
How we read this: 17 replicated groups read from 34 sample titles; they account for 34 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.
- GSM8821514 Patient 1, Week 0 Patient 1, Week
- GSM8821515 Patient 2, Week 0 Patient 2, Week
- GSM8821516 Patient 3, Week 0 Patient 3, Week
- GSM8821517 Patient 4, Week 0 Patient 4, Week
- GSM8821518 Patient 5, Week 0 Patient 5, Week
- GSM8821519 Patient 6, Week 0 Patient 6, Week
- GSM8821520 Patient 7, Week 0 Patient 7, Week
- GSM8821521 Patient 8, Week 0 Patient 8, Week
- GSM8821522 Patient 9, Week 0 Patient 9, Week
- GSM8821523 Patient 10, Week 0 Patient 10, Week
- GSM8821524 Patient 11, Week 0 Patient 11, Week
- GSM8821525 Patient 12, Week 0 Patient 12, Week
- GSM8821526 Patient 13, Week 0 Patient 13, Week
- GSM8821527 Patient 14, Week 0 Patient 14, Week
- GSM8821528 Patient 15, Week 0 Patient 15, Week
- GSM8821529 Patient 16, Week 0 Patient 16, Week
- GSM8821530 Patient 17, Week 0 Patient 17, Week
- GSM8821531 Patient 1, Week 24 Patient 1, Week
- GSM8821532 Patient 2, Week 24 Patient 2, Week
- GSM8821533 Patient 3, Week 24 Patient 3, Week
- GSM8821534 Patient 4, Week 24 Patient 4, Week
- GSM8821535 Patient 5, Week 24 Patient 5, Week
- GSM8821536 Patient 6, Week 24 Patient 6, Week
- GSM8821537 Patient 7, Week 24 Patient 7, Week
- GSM8821538 Patient 8, Week 24 Patient 8, Week
- GSM8821539 Patient 9, Week 24 Patient 9, Week
- GSM8821540 Patient 10, Week 24 Patient 10, Week
- GSM8821541 Patient 11, Week 24 Patient 11, Week
- GSM8821542 Patient 12, Week 24 Patient 12, Week
- GSM8821543 Patient 13, Week 24 Patient 13, Week
- GSM8821544 Patient 14, Week 24 Patient 14, Week
- GSM8821545 Patient 15, Week 24 Patient 15, Week
- GSM8821546 Patient 16, Week 24 Patient 16, Week
- GSM8821547 Patient 17, Week 24 Patient 17, Week
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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.