Serial Sampling of the Small Airway Epithelium Over 1 Year in the Same Individuals to Identify “Public” Genes Commonly Dysregulated by Smoking [RNA-Seq]
RNA-seq (gene expression) · human · 44 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
- 44 samples: 44 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.
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 GSE130967_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 PRJNA542140 and SRA study SRP197342. 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 44 sample titles: 44 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.
- GSM3757945 SAECs, nonsmoker, DGM-10123_M12_sm_RNA-Seq
- GSM3757946 SAECs, nonsmoker, DGM-10254_M12_sm_RNA-Seq
- GSM3757947 SAECs, nonsmoker, DGM-10161_M12_sm_RNA-Seq
- GSM3757948 SAECs, nonsmoker, DGM-10288_M12_sm_RNA-Seq
- GSM3757949 SAECs, nonsmoker, DGM-10383_M12_sm_RNA-Seq
- GSM3757950 SAECs, nonsmoker, DGM-10380_M12_sm_RNA-Seq
- GSM3757951 SAECs, nonsmoker, DGM-10343_M12_sm_RNA-Seq
- GSM3757952 SAECs, nonsmoker, DGM-10270_M12_sm_RNA-Seq
- GSM3757953 SAECs, nonsmoker, DGM-10194_M12_sm_RNA-Seq
- GSM3757954 SAECs, nonsmoker, DGM-10565_M12_sm_RNA-Seq
- GSM3757955 SAECs, nonsmoker, DGM-10500_M6_sm_RNA-Seq
- GSM3757956 SAECs, nonsmoker, DGM-10503_M12_sm_RNA-Seq
- GSM3757957 SAECs, nonsmoker, DGM-10475_M3_sm_RNA-Seq
- GSM3757958 SAECs, nonsmoker, DGM-01774_M3_sm_RNA-Seq
- GSM3757959 SAECs, nonsmoker, DGM-00342_M12_sm_RNA-Seq
- GSM3757960 SAECs, nonsmoker, DGM-10261_M0_sm_RNA-Seq
- GSM3757961 SAECs, nonsmoker, DGM-10568_M0_sm_RNA-Seq
- GSM3757962 SAECs, nonsmoker, DGM-10707_M0_sm_RNA-Seq
- GSM3757963 SAECs, nonsmoker, DGM-10159_M12_sm_RNA-Seq
- GSM3757964 SAECs, nonsmoker, DGM-10284_M12_sm_RNA-Seq
- GSM3757965 SAECs, smoker, DGM-10573_M6_sm_RNA-Seq
- GSM3757966 SAECs, smoker, DGM-10704_M12_sm_RNA-Seq
- GSM3757967 SAECs, smoker, DGM-10731_M12_sm_RNA-Seq
- GSM3757968 SAECs, smoker, DGM-10732_M12_sm_RNA-Seq
- GSM3757969 SAECs, smoker, DGM-10768_M6_sm_RNA-Seq
- GSM3757970 SAECs, smoker, DGM-10808_M12_sm_RNA-Seq
- GSM3757971 SAECs, smoker, DGM-10869_M12_sm_RNA-Seq
- GSM3757972 SAECs, smoker, DGM-10886_M12_sm_RNA-Seq
- GSM3757973 SAECs, smoker, DGM-10901_M3_sm_RNA-Seq
- GSM3757974 SAECs, smoker, DGM-10906_M12_sm_RNA-Seq
- GSM3757975 SAECs, smoker, DGM-10922_M12_sm_RNA-Seq
- GSM3757976 SAECs, smoker, DGM-10986_M12_sm_RNA-Seq
- GSM3757977 SAECs, smoker, DGM-11016_M12_sm_RNA-Seq
- GSM3757978 SAECs, smoker, DGM-11038_M12_sm_RNA-Seq
- GSM3757979 SAECs, smoker, DGM-11066_M12_sm_RNA-Seq
- GSM3757980 SAECs, smoker, DGM-11111_M12_sm_RNA-Seq
- GSM3757981 SAECs, smoker, DGM-00221_M12_sm_RNA-Seq
- GSM3757982 SAECs, smoker, DGM-10358_M0_sm_RNA-Seq
- GSM3757983 SAECs, smoker, DGM-10571_M0_sm_RNA-Seq
- GSM3757984 SAECs, smoker, DGM-10625_M12_sm_RNA-Seq
+ 4 more — browse all 44 samples with per-sample file links →
- GSE309698 Transcriptomic Profiling of Bronchial Epithelium Reveals Dysregulated Interferon and Inflammatory Responses to Rhinovirus in Exacerbation-Prone Pediatric Asthma [RNA-Seq] 246 samples shares dysregulated, epithelium, rna-seq
- GSE309311 Transcriptomic Profiling of Bronchial Epithelium Reveals Dysregulated Interferon and Inflammatory Responses to Rhinovirus in Exacerbation-Prone Pediatric Asthma [scRNA-Seq] 28 samples shares dysregulated, epithelium, rna-seq
- GSE309705 Transcriptomic Profiling of Bronchial Epithelium Reveals Dysregulated Interferon and Inflammatory Responses to Rhinovirus in Exacerbation-Prone Pediatric Asthma 274 samples shares dysregulated, epithelium
- GSE237252 Transcriptional adaptation of human airway epithelium upon cigarette smoking 77 samples shares epithelium, smoking
- GSE135624 Epigenetic and Post-transcriptional Regulation of LYPD2 Modulates Smoking-associated Phenotype via CHRNA7 and DNMT1 in the Human Airway Epithelium 66 samples shares epithelium, smoking
- GSE306950 Dysregulated NK Cell Activation and Myeloid-Lymphoid Imbalance Underpin COPD Progression: Insights from High-Dimensional Immune Profiling and Smoking-Induced Immune Remodeling 35 samples shares dysregulated, smoking
- GSE281833 RNA-Sequencing Analysis of Type-I and Type-II Interferon Effects on an In-Vitro Human Thymic Epithelium Model 24 samples shares epithelium, rna-seq
- GSE272860 Hypoxia promotes airway differentiation in the human lung epithelium [Bulk RNA-seq] 18 samples shares epithelium, rna-seq
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.