Decoding CD4+ T cell transcriptome in giant cell arteritis: novel pathways and altered cross-talk with monocytes [RNA-seq]
RNA-seq (gene expression) · human · 98 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
- 98 samples
- 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 GSE252020_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 PRJNA1057133 and SRA study SRP480128. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run VAS1 … VAS99 and carry no group information.
- GSM7991707 VAS1
- GSM7991708 VAS10
- GSM7991709 VAS100
- GSM7991710 VAS101
- GSM7991711 VAS102
- GSM7991712 VAS103
- GSM7991713 VAS104
- GSM7991714 VAS105
- GSM7991715 VAS106
- GSM7991716 VAS107
- GSM7991717 VAS11
- GSM7991718 VAS110
- GSM7991719 VAS112
- GSM7991720 VAS113
- GSM7991721 VAS115
- GSM7991722 VAS12
- GSM7991723 VAS13
- GSM7991724 VAS14
- GSM7991725 VAS15
- GSM7991726 VAS16
- GSM7991727 VAS17
- GSM7991728 VAS18
- GSM7991729 VAS19
- GSM7991730 VAS2
- GSM7991731 VAS20
- GSM7991732 VAS21
- GSM7991733 VAS22
- GSM7991734 VAS23
- GSM7991735 VAS24
- GSM7991736 VAS27
- GSM7991737 VAS28
- GSM7991738 VAS29
- GSM7991739 VAS3
- GSM7991740 VAS30
- GSM7991741 VAS31
- GSM7991742 VAS32
- GSM7991743 VAS33
- GSM7991744 VAS34
- GSM7991745 VAS35
- GSM7991746 VAS37
+ 58 more — browse all 98 samples with per-sample file links →
- GSE288966 Multi-omics analysis identifies progenitors of CD4-CTLs [bulk RNA-seq] 70 samples shares cd4, rna-seq
- GSE329693 Microbiome-Derived Metabolites Shape CD4⁺ T-Cell Differentiation and Immune Aging in Chronic HIV-1 Infection [RNA-Seq] 36 samples shares cd4, rna-seq
- GSE189754 Divergent spatial microdomains drive inflammation and repair in Ulcerative and Immune Checkpoint Therapy Colitis - CD45 scRNA-Seq 15 samples shares cd4, rna-seq
- GSE271543 UCPVax, a CD4 helper peptide vaccine induces polyfunctional Th1 cells, antibody response and epitope spreading to improve antitumor immunity [scRNA-seq] 5 samples shares cd4, rna-seq
- GSE327840 RNA-seq profiling of LPS tolerance in monocytes, THP-1, fibroblasts, smooth muscle cells, and endothelial cells 58 samples shares monocytes, rna-seq
- GSE295173 Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in trauma patients and favors a response to M-CSF [scRNA-Seq] 30 samples shares monocytes, rna-seq
- GSE261696 Transcriptional characteristics of human primary, bone marrow-derived and iPSC-derived monocytes and macrophages [RNA-Seq] 19 samples shares monocytes, rna-seq
- GSE318418 Immunosuppressive monocytes are enriched in hepatocellular carcinoma patients with liver dysfunction in a phase II trial of combination sorafenib and nivolumab [scRNA-Seq] 16 samples shares monocytes, 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.