RNAseq analysis of human CD14+ monocytes exposed to an agonist of Aryl Hydrocarbon Receptor
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 18 samples: 18 × D105TGroups 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 GSE214091_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 PRJNA883748 and SRA study SRP399381. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 1 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.
- GSM6598878 D105T13 D105T
- GSM6598879 D105T15 D105T
- GSM6598880 D105T17 D105T
- GSM6598881 D105T25 D105T
- GSM6598882 D105T27 D105T
- GSM6598883 D105T29 D105T
- GSM6598884 D105T37 D105T
- GSM6598885 D105T39 D105T
- GSM6598886 D105T41 D105T
- GSM6598887 D105T49 D105T
- GSM6598888 D105T51 D105T
- GSM6598889 D105T53 D105T
- GSM6598890 D105T61 D105T
- GSM6598891 D105T63 D105T
- GSM6598892 D105T65 D105T
- GSM6598893 D105T73 D105T
- GSM6598894 D105T75 D105T
- GSM6598895 D105T77 D105T
- GSE229116 The effect of Aryl hydrocarbon receptor (AHR) inhibitor CH-223191 on differentiation of human colon organoids 24 samples shares hydrocarbon, receptor, aryl
- GSE250196 Endogenous aryl hydrocarbon receptor ligands-dysregulated transcriptomic profiles and endothelial function in human fetal endothelial cells 22 samples shares hydrocarbon, receptor, aryl
- GSE305296 Activation of the aryl hydrocarbon receptor in human melanoma cells enhances cancer cell-intrinsic MHC-II expression 43 samples shares hydrocarbon, receptor, aryl
- GSE279719 Human CD14+ monocytes from early inflammatory arthritis patients before and after a 5day-and 30day-period of methotrexate treatment 72 samples shares cd14, monocytes
- GSE294235 Rheumatoid Arthritis circulating CD14+ monocytes are epigenetically primed [ChIP-seq] 75 samples shares cd14, monocytes
- GSE237851 CD14 Serves as a Predicted Marker for Coronary Artery Lesions in Kawasaki Disease 24 samples shares cd14
- GSE205672 Transcriptomes of human PBMCs and monocytes in sepsis patients 460 samples shares monocytes
- GSE222196 Treatment of prostate cancer cell lines with Androgen Receptor and Receptor Tyrosine Kinase inhibitors 246 samples shares receptor
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.