RNA-seq analysis identifies the impact of different organic components of fine particulate matter (PM2.5) on human nasal fibroblasts
RNA-seq (gene expression) · human · 15 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
- 15 samples: 5 × ct vs 5 × pola vs 5 × nonGroups 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
- Non-polar components in PM(2.5) increase matrix remodeling of CRS by up-regulating CEMIP in nasal fibroblastsFrontiers in genetics · 2025
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 GSE284720_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 PRJNA1200108 and SRA study SRP552448. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8691132 ct_1 ct
- GSM8691133 polar_1 pola
- GSM8691134 non_1 non
- GSM8691135 ct_2 ct
- GSM8691136 polar_2 pola
- GSM8691137 non_2 non
- GSM8691138 ct_3 ct
- GSM8691139 polar_3 pola
- GSM8691140 non_3 non
- GSM8691141 ct_4 ct
- GSM8691142 polar_4 pola
- GSM8691143 non_4 non
- GSM8691144 ct_5 ct
- GSM8691145 polar_5 pola
- GSM8691146 non_5 non
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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.