CD4+ cells and pediatric obesity-related asthma
RNA-seq (gene expression) · human · 99 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
- 99 samples: 39 × B vs 20 × C vs 20 × A vs 20 × DGroups 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
- Single cell analysis identifies distinct CD4 + T cells associated with the pathobiology of pediatric obesity related asthmaScientific reports · 2025
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 GSE227915_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 PRJNA947501 and SRA study SRP428623. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 99 samples.
How we read this: 4 replicated groups read from 99 sample titles; they account for 99 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.
- GSM7110698 B03 B
- GSM7110699 C02 C
- GSM7110700 A02 A
- GSM7110701 B04 B
- GSM7110702 A03 A
- GSM7110703 B05 B
- GSM7110704 B08 B
- GSM7110705 A05 A
- GSM7110706 B09 B
- GSM7110707 B10 B
- GSM7110708 B11 B
- GSM7110709 A06 A
- GSM7110710 B12 B
- GSM7110711 A07 A
- GSM7110712 B13 B
- GSM7110713 B14 B
- GSM7110714 B16 B
- GSM7110715 B17 B
- GSM7110716 A09 A
- GSM7110717 A10 A
- GSM7110718 B18 B
- GSM7110719 B19 B
- GSM7110720 B20 B
- GSM7110721 C09 C
- GSM7110722 D05 D
- GSM7110723 B36 B
- GSM7110724 B37 B
- GSM7110725 D06 D
- GSM7110726 D07 D
- GSM7110727 B38 B
- GSM7110728 B39 B
- GSM7110729 D08 D
- GSM7110730 C10 C
- GSM7110731 B41 B
- GSM7110732 D10 D
- GSM7110733 D11 D
- GSM7110734 C13 C
- GSM7110735 D13 D
- GSM7110736 A24 A
- GSM7110737 A25 A
+ 59 more — browse all 99 samples with per-sample file links →
- GSE309705 Transcriptomic Profiling of Bronchial Epithelium Reveals Dysregulated Interferon and Inflammatory Responses to Rhinovirus in Exacerbation-Prone Pediatric Asthma 274 samples shares pediatric, asthma
- GSE309311 Transcriptomic Profiling of Bronchial Epithelium Reveals Dysregulated Interferon and Inflammatory Responses to Rhinovirus in Exacerbation-Prone Pediatric Asthma [scRNA-Seq] 28 samples shares pediatric, asthma
- GSE242232 Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases 928 samples shares cd4
- GSE314342 Genome-scale perturb-seq in primary human CD4+ T cells reveals genes regulating T cell programs and human immune traits. 577 samples shares cd4
- GSE314188 Responders to low-dose ATG induce CD4+ T cell exhaustion in type 1 diabetes 514 samples shares cd4
- GSE302339 Lung NR3C1+ and CXCR6 High CD4 T cells distinguish immunopathogenesis of human emphysema 67 samples shares cd4
- GSE270739 Single-cell analysis of circulating autoreactive CD4 T cells of autoimmune hepatitis patients 62 samples shares cd4
- GSE290679 Metabolic Adaptations Rewire CD4 T Cells in a Subset-Specific Manner in Human Critical Illness with and without Sepsis 47 samples shares cd4
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.