Comparison of bronchial epithelial cells obtained by bronchoscopy from mild asthma patients, moderate asthma patients, severe asthma patients and healthy controls
RNA-seq (gene expression) · human · 55 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
- 55 samples: 55 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.
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 GSE161245_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 PRJNA676034 and SRA study SRP292171. 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 55 sample titles: 55 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.
- GSM4903865 H01 V1 H
- GSM4903866 H02 V1 N
- GSM4903867 H03 V1 N
- GSM4903868 H04 V1 N
- GSM4903869 H06 V1 N
- GSM4903870 H09 V1 N
- GSM4903871 H10 V1 N
- GSM4903872 H12 V1 N
- GSM4903873 H14 V1 N
- GSM4903874 H15 V1 H
- GSM4903875 H16 V1 N
- GSM4903876 H05 V1 N
- GSM4903877 H07 V1 N
- GSM4903878 H08 V1 H
- GSM4903879 EH01 V1 N
- GSM4903880 EH03 V1 N
- GSM4903881 A033 V1 N
- GSM4903882 A023 V1 H
- GSM4903883 A020 V1 H
- GSM4903884 A067 V1 H
- GSM4903885 A070 V1 H
- GSM4903886 A069 V1 H
- GSM4903887 A072 V1 N
- GSM4903888 A075 V1 H
- GSM4903889 A078 V1 H
- GSM4903890 A04 V1 N
- GSM4903891 A11 V1 N
- GSM4903892 A043 V1
- GSM4903893 A064 V1
- GSM4903894 A062 V1
- GSM4903895 A055 V1
- GSM4903896 A007 V1
- GSM4903897 A003 V1
- GSM4903898 TAS101 V3 N
- GSM4903899 TAS102 V3 H
- GSM4903900 TAS108 V3B H
- GSM4903901 TAS106 V3B H
- GSM4903902 TAS114 V3A N
- GSM4903903 TAS115 V3A H
- GSM4903904 TAS117 V3A H
+ 15 more — browse all 55 samples with per-sample file links →
- GSE266852 Comparison of differential gene expression in blood PBMCs from healthy controls, patients with rheumatoid arthritis,and patients with lupus using single-cell transcriptome sequencing analysis. 10 samples shares comparison, controls, healthy
- GSE4302 Genome-Wide Profiling of Airway Epithelial Cells in Asthmatics, Smokers and Healthy Controls 118 samples shares epithelial, controls, healthy
- GSE328878 Transcriptomic comparison of RA vs healthy monocytes undergoing different ex vivo activation conditions 72 samples shares comparison, healthy
- GSE292944 Culture Media Strongly Influences Primary Human Bronchial Epithelial Cells' Transcriptomic Response to Ozone Exposure 24 samples shares epithelial, bronchial
- GSE287215 Bulk RNA-Seq of primary human bronchial epithelial cells after transfection with different Cas9 formats 17 samples shares epithelial, bronchial
- GSE201157 Expression profiling by high-throughput sequencing to evaluate effects of aroylated phenylenediamine HO53 on transcriptome in human undifferentiated bronchial epithelial cells (BCi-NS1.1 cell line). 12 samples shares epithelial, bronchial
- GSE315683 Transcriptional and proteome profiling of human bronchial epithelial cell BEAS-2B exposed to e-cigarette aerosol condensate 9 samples shares epithelial, bronchial
- GSE299702 [RelA ChIP-seq]: Characterization of transcriptional and chromatin accessibility landscape of human bronchial epithelial cells treated with synergistic immunostimulatory ligands. 13 samples shares epithelial, bronchial
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.