Comparison of bronchial epithelial cells obtained by bronchoscopy from severe asthma patients before and after thermoplasty treatment
RNA-seq (gene expression) · human · 46 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
- 46 samples: 46 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 GSE161453_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 PRJNA678335 and SRA study SRP292522. 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 46 sample titles: 46 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.
- GSM4907399 TAS102 V10 [103697-001-002]
- GSM4907400 TAS102 V10 [103697-001-003]
- GSM4907401 TAS104 V10 [103697-001-006]
- GSM4907402 TAS104 V10 [103697-001-007]
- GSM4907403 TAS107 V10 [103697-001-011]
- GSM4907404 TAS107 V10 [103697-001-012]
- GSM4907405 TAS108 V10 [103697-001-014]
- GSM4907406 TAS108 V10 [103697-001-015]
- GSM4907407 TAS113 V10 [103697-001-020]
- GSM4907408 TAS113 V10 [103697-001-021]
- GSM4907409 TAS114 V10 [103697-001-023]
- GSM4907410 TAS114 V10 [103697-001-024]
- GSM4907411 TAS115 V10 [103697-001-026]
- GSM4907412 TAS115 V10 [103697-001-027]
- GSM4907413 TAS116 V10 [103697-001-029]
- GSM4907414 TAS116 V10 [103697-001-030]
- GSM4907415 TAS117 V10 [103697-001-032]
- GSM4907416 TAS117 V10 [103697-001-033]
- GSM4907417 TAS118 V10 [103697-001-035]
- GSM4907418 TAS118 V10 [103697-001-036]
- GSM4907419 TAS119 V10 [103697-001-039]
- GSM4907420 TAS119 V10 [103697-001-040]
- GSM4907421 TAS120 V10 [103697-001-043]
- GSM4907422 TAS120 V10 [103697-001-044]
- GSM4907423 TAS121 V10 [103697-001-046]
- GSM4907424 TAS121 V10 [103697-001-047]
- GSM4907425 TAS124 V10 [103697-001-050]
- GSM4907426 TAS124 V10 [103697-001-051]
- GSM4907427 TAS126 V10 [103697-001-052]
- GSM4907428 TAS126 V10 [103697-001-053]
- GSM4907429 TAS128 V10 [103697-001-055]
- GSM4907430 TAS128 V10 [103697-001-056]
- GSM4907431 TAS201 V10 [103697-001-059]
- GSM4907432 TAS201 V10 [103697-001-060]
- GSM4907433 TAS203 V10 [103697-001-062]
- GSM4907434 TAS203 V10 [103697-001-063]
- GSM4907435 TAS204 V10 [103697-001-066]
- GSM4907436 TAS204 V10 [103697-001-067]
- GSM4907437 TAS125 V10 [103697-001-070]
- GSM4907438 TAS125 V10 [103697-001-071]
+ 6 more — browse all 46 samples with per-sample file links →
- GSE161245 Comparison of bronchial epithelial cells obtained by bronchoscopy from mild asthma patients, moderate asthma patients, severe asthma patients and healthy controls 55 samples shares bronchoscopy, comparison, epithelial, bronchial, obtained, severe
- 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
- GSE272820 Multi-omics datasets for finer-scale dissection of chromatin architecture alterations in radiation induced malignant transformation of bronchial epithelial cells [Micro-C] 12 samples shares epithelial, bronchial
- GSE292059 Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab 965 samples shares epithelial
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.