Transcriptomic evaluation of skin tape-strips in children with allergic asthma uncovers epidermal barrier dysfunction and asthma-associated biomarkers abnormalities
RNA-seq (gene expression) · human · 32 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
- 32 samples: 32 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.
- Paper
- Transcriptomic evaluation of skin tape-strips in children with allergic asthma uncovers epidermal barrier dysfunction and asthma-associated biomarkers abnormalitiesAllergy · 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 GSE245608_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 PRJNA1029063 and SRA study SRP466856. 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 32 sample titles: 32 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.
- GSM7845625 102.IonXpress_012
- GSM7845626 104.IonXpress_014
- GSM7845627 107.IonXpress_016
- GSM7845628 108.IonXpress_001
- GSM7845629 109.IonXpress_002
- GSM7845630 111.IonXpress_004
- GSM7845631 112.IonXpress_005
- GSM7845632 113.IonXpress_006
- GSM7845633 117.IonXpress_010
- GSM7845634 120.IonXpress_014
- GSM7845635 125.IonXpress_004
- GSM7845636 126.IonXpress_005
- GSM7845637 129.IonXpress_008
- GSM7845638 132.IonXpress_011
- GSM7845639 133.IonXpress_012
- GSM7845640 134.IonXpress_013
- GSM7845641 135.IonXpress_014
- GSM7845642 137.IonXpress_015
- GSM7845643 141.IonXpress_003
- GSM7845644 142.IonXpress_004
- GSM7845645 144.IonXpress_006
- GSM7845646 147.IonXpress_009
- GSM7845647 148.IonXpress_010
- GSM7845648 83.IonXpress_009
- GSM7845649 84.IonXpress_010
- GSM7845650 87.IonXpress_013
- GSM7845651 89.IonXpress_015
- GSM7845652 91.IonXpress_001
- GSM7845653 92.IonXpress_002
- GSM7845654 94.IonXpress_004
- GSM7845655 95.IonXpress_005
- GSM7845656 99.IonXpress_009
- GSE261070 Dysfunctional neutrophil Type 1 interferon responses in preschool children with recurrent wheezing and IL-4-mediated aeroallergen sensitization 134 samples shares dysfunction, children
- GSE285773 Single cell RNA profiling of blood CD4+ T cells identifies distinct helper and dysfunctional regulatory clusters in children with SLE [CD4+ T cells] 26 samples shares dysfunction, children
- GSE298578 Single cell RNA profiling of blood CD4+ T cells identifies distinct helper and dysfunctional regulatory clusters in children with SLE (5' PBMC validation dataset) 14 samples shares dysfunction, children
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples shares dysfunction
- GSE264073 Ileal Enterocyte Brush Border Abnormalities Associate with Progressive Disease Course in Pediatric Crohn’s Disease 152 samples shares abnormalities
- GSE261892 Australian Chronic Allograft Dysfunction III 123 samples shares dysfunction
- GSE281797 Transcriptomic profiles of liver biopsies in obese patients with metabolic dysfunction-associated steatotic liver disease 94 samples shares dysfunction
- GSE261258 Human regulatory memory B cells defined by expression of TIM-1 and TIGIT are dysfunctional in Multiple Sclerosis. 89 samples shares dysfunction
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.