Evaluation of transcriptomic responses in mouse larynx after cigarette smoke (CS) and electronic cigarette (E-Cigarette) exposures
RNA-seq (gene expression) · mouse · 18 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
- Mus musculus (mouse)
- Samples
- 18 samples: 6 × TRC vs 6 × CSE vs 6 × JVTGroups 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 GSE294949_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 PRJNA1252088 and SRA study SRP579448. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 3 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8931886 TRC_1 TRC
- GSM8931887 TRC_2 TRC
- GSM8931888 TRC_3 TRC
- GSM8931889 TRC_4 TRC
- GSM8931890 TRC_5 TRC
- GSM8931891 TRC_6 TRC
- GSM8931892 CSE_1 CSE
- GSM8931893 CSE_2 CSE
- GSM8931894 CSE_3 CSE
- GSM8931895 CSE_4 CSE
- GSM8931896 CSE_5 CSE
- GSM8931897 CSE_6 CSE
- GSM8931898 JVT_1 JVT
- GSM8931899 JVT_2 JVT
- GSM8931900 JVT_3 JVT
- GSM8931901 JVT_4 JVT
- GSM8931902 JVT_5 JVT
- GSM8931903 JVT_6 JVT
- GSE263903 Single-cell transcriptomics identifies altered neutrophil dynamics and accentuated T-cell cytotoxicity in tobacco -flavored e-cigarette -exposed mouse lungs 10 samples shares e-cigarette, cigarette
- GSE275328 Transcriptomic changes in bronchoalovelar derived macrophages after expsoure to whole body cigarette smoke exposure (8 weeks) 8 samples shares cigarette, smoke
- GSE267842 The potential global neutralizing effects of AB-free kava against cigarette smoke exposure in mice 29 samples shares cigarette, smoke
- GSE303772 Ontogenically distinct alveolar macrophages mediate cigarette smoke-induced inflammation and damage [RNA-Seq] 24 samples shares cigarette, smoke
- GSE288003 Single-cell transcriptomics revealed e-cigarettes-induced vascular remodeling by enhancing Tcf21 expression 2 samples shares e-cigarette, cigarette
- GSE331129 Transcriptome profiling of colorectal tissues from AOM-induced colorectal cancer mice with cigarette smoke exposure 18 samples shares cigarette, smoke
- GSE303713 Ontogenically distinct alveolar macrophages mediate cigarette smoke-induced inflammation and damage 14 samples shares cigarette, smoke
- GSE302905 data from Pregnancy exacerbates neutrophil responses in murine lungs and alters gut microbiota composition after cigarette smoke exposure 14 samples shares cigarette, smoke
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.