Aging restricts maturation of CXCL13+ T follicular helper cells in human immunity
RNA-seq (gene expression) · human · 24 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
- 24 samples: 24 samples, each with a distinct title — no replicated groupsGroups 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
- Aging restricts maturation of CXCL13(+) T follicular helper cells in human immunityCell reports · 2026
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 GSE270554_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 PRJNA1127481 and SRA study SRP515846. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. 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.
- GSM8346662 UPN10, GEX
- GSM8346663 UPN10, TCR
- GSM8346664 UPN10, ADT
- GSM8346665 UPN24, GEX
- GSM8346666 UPN24, TCR
- GSM8346667 UPN24, ADT
- GSM8346668 UPN20, GEX
- GSM8346669 UPN20, TCR
- GSM8346670 UPN20, ADT
- GSM8346671 UPN41, GEX
- GSM8346672 UPN41, TCR
- GSM8346673 UPN41, ADT
- GSM8346674 UPN19, GEX
- GSM8346675 UPN19, TCR
- GSM8346676 UPN19, ADT
- GSM8346677 UPN22, GEX
- GSM8346678 UPN22, TCR
- GSM8346679 UPN22, ADT
- GSM8346680 UPN40, GEX
- GSM8346681 UPN40, TCR
- GSM8346682 UPN40, ADT
- GSM8346683 UPN38, GEX
- GSM8346684 UPN38, TCR
- GSM8346685 UPN38, ADT
- GSE303342 A unified network systems approach uncovers a core program underlying T follicular helper cell differentiation [RNA-Seq] 16 samples shares follicular, helper
- GSE320556 TGF-beta promotes human T follicular helper cell stemness properties at the expense of effector function 12 samples shares follicular, helper
- GSE303343 A unified network systems approach uncovers a core program underlying T follicular helper cell differentiation [CUT&RUN] 48 samples shares follicular, helper
- GSE316782 Multimodal single-cell and spatial profiling reveals altered T cell-mediated immunity and B-cell follicular architecture in non-metastatic lymph nodes of patients with aggressive non-small cell lung cancer 18 samples shares follicular, immunity
- GSE317789 Single-cell and spatial profiling reveal cDC2A-CXCL13+ CD8+ T-epithelial cell crosstalk and cytotoxicity through TNFRSF9 in cutaneous and mucosal lichen planus 42 samples shares cxcl13
- GSE277730 Interferon subverts an AHR-JUN axis to promote CXCL13+ T cell in lupus [Time_coure_RNAseq] 24 samples shares cxcl13
- GSE233050 Interferon subverts an AHR-JUN axis to promote CXCL13+ T cells in lupus 76 samples shares cxcl13
- GSE252917 Interferon subverts an AHR-JUN axis to promote CXCL13+ T cells in lupus [JUN IFN] 12 samples shares cxcl13
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.