Molecular and spatial analysis unveils the functional basis of tertiary lymphoid structures in Sjogren’s syndrome[bulk RNA-seq]
Single-cell RNA-seq · human · 73 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 73 samples: 73 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
- Molecular and spatial analysis of tertiary lymphoid structures in Sjogren's syndromeNature communications · 2025
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 GSE272410_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1136833 and SRA study SRP520461. 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 73 sample titles: 73 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.
- GSM8401524 Samp2, Thick sections
- GSM8401525 Samp3, Thick sections
- GSM8401526 Samp4, Thick sections
- GSM8401527 Samp5, Thick sections
- GSM8401528 Samp6, Thick sections
- GSM8401529 Samp7, Thick sections
- GSM8401530 Samp8, Thick sections
- GSM8401531 Samp9, Thick sections
- GSM8401532 Samp10, Thick sections
- GSM8401533 Samp11, Thick sections
- GSM8401534 Samp12, Thick sections
- GSM8401535 Samp13, Thick sections
- GSM8401536 Samp15, Thick sections
- GSM8401537 Samp16, Thick sections
- GSM8401538 Samp17, Large_foci
- GSM8401539 Samp20, nerve-like
- GSM8401540 Samp25, healthy tissue
- GSM8401541 Samp26, GC
- GSM8401542 Samp27, Small_foci
- GSM8401543 Samp29, Large_foci
- GSM8401544 Samp31, healthy tissue
- GSM8401545 Samp33, GC
- GSM8401546 Samp34, Small_foci
- GSM8401547 Samp35, healthy tissue
- GSM8401548 Samp36, GC
- GSM8401549 Samp37, GC
- GSM8401550 Samp38, Large_foci
- GSM8401551 Samp39, healthy tissue
- GSM8401552 Samp42, Large_foci
- GSM8401553 Samp45, healthy tissue
- GSM8401554 Samp46, healthy tissue
- GSM8401555 Samp47, Large_foci
- GSM8401556 EPI_NORM1, Epithelium_norm
- GSM8401557 EPI_NORM2, Epithelium_norm
- GSM8401558 LF2, Large_foci
- GSM8401559 GC7, GC
- GSM8401560 EPI_DUCT1, Epithelium_duct
- GSM8401561 EPI_DUCT2, Epithelium_duct
- GSM8401562 GC8, GC
- GSM8401563 GC9, GC
+ 33 more — browse all 73 samples with per-sample file links →
- GSE272409 Molecular and spatial analysis unveils the functional basis of tertiary lymphoid structures in Sjogren’s syndrome[scRNA-seq] 13 samples shares structures, tertiary, lymphoid, spatial, unveils, sjogren, rna-seq, basis
- GSE272346 Late-stage tertiary lymphoid structures in hepatocellular carcinoma treated with neoadjuvant immune checkpoint blockade [bulk RNA-seq] 14 samples shares structures, tertiary, lymphoid, rna-seq
- GSE206245 Single-Cell and Spatial Transcriptome Analyses Reveal Tertiary Lymphoid Structures Linked to Tumour Progression and Immunotherapy Response in Nasopharyngeal Carcinoma 18 samples shares structures, tertiary, lymphoid, spatial
- GSE272347 Late-stage tertiary lymphoid structures in hepatocellular carcinoma treated with neoadjuvant immune checkpoint blockade [scRNA-seq] 17 samples shares structures, tertiary, lymphoid, rna-seq
- GSE272348 Late-stage tertiary lymphoid structures in hepatocellular carcinoma treated with neoadjuvant immune checkpoint blockade 31 samples shares structures, tertiary, lymphoid
- GSE270680 A spatially resolved atlas of gastric cancer characterises a lymphocyte aggregated region [scRNA-seq] 77 samples shares spatial, rna-seq
- GSE190564 Divergent spatial microdomains drive inflammation and repair in Ulcerative and Immune Checkpoint Therapy Colitis - whole tissue scRNA-Seq 62 samples shares spatial, rna-seq
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares spatial, 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.