RNA Sequencing of the Impact of CXCR3 receptor modulation on activated T cells function
RNA-seq (gene expression) · human · 9 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
- 9 samples: 3 × PBMC_CT vs 3 × PBMC_VUF11222 vs 3 × PBMC_AMG487Groups 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 GSE301622_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 PRJNA1285822 and SRA study SRP598068. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM9086614 PBMC_CT1 PBMC_CT
- GSM9086615 PBMC_CT2 PBMC_CT
- GSM9086616 PBMC_CT3 PBMC_CT
- GSM9086617 PBMC_VUF11222_1 PBMC_VUF11222
- GSM9086618 PBMC_VUF11222_2 PBMC_VUF11222
- GSM9086619 PBMC_VUF11222_3 PBMC_VUF11222
- GSM9086620 PBMC_AMG487_1 PBMC_AMG487
- GSM9086621 PBMC_AMG487_2 PBMC_AMG487
- GSM9086622 PBMC_AMG487_3 PBMC_AMG487
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- GSE194281 The KDM1A and KDM7A lysine demethylases cooperate to regulate androgen receptor function in prostate cancer cells 30 samples shares receptor
- GSE280267 Glycine Receptor Activity in β Cells Is Downregulated in Type 2 Diabetes and After High Glucose Culture 199 samples shares receptor
- GSE250196 Endogenous aryl hydrocarbon receptor ligands-dysregulated transcriptomic profiles and endothelial function in human fetal endothelial cells 22 samples shares receptor
- GSE149000 Sequencing of AsPC-1 cells with CYP3A5 expression modulation 12 samples shares modulation
- GSE328010 RNA sequencing of naïve, activated and HIV-1 infected CD4+ T cells 9 samples shares activated
- GSE278330 Systemic IL-23 blockade downregulates IL-23 receptor-expressing Type 17 T-cell subsets and upregulates regulatory gene expression in myeloid cells in human psoriasis skin 63 samples shares receptor
- GSE322615 Investigating response to PARP inhibition and androgen receptor pathway inhibition in C4-2B prostate cancer cells 39 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.