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GEO series

Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis

GSE328422 Homo sapiens (human) Other 6 samples Submitted 2026/06/27 Platform GPL33762
At a glance

human · 6 samples

Organism
Homo sapiens (human)
Topic
Breast cancerThis series is part of our curated briefing on it.
Samples
6 samples: 6 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.
Summary (written by the submitters)
Regional lymph node metastasis critically influences distant metastatic progression, anti-tumour immunity, and patient prognosis. This study systematically characterised immune cell dynamics across paired primary tumours, sentinel tumour-draining lymph nodes (S-TDLNs), and secondary axillary lymph nodes (ALNs) from treatment-naïve triple-negative breast cancer (TNBC) patients using integrated multi-omics approaches, including imaging mass cytometry, single-cell RNA sequencing, Visium and Xenium spatial transcriptomics, and multiplex immunofluorescence.
Read the full summary ↓
Xenium profiling was performed on FFPE lymph node sections spanning different metastatic stages to resolve high-resolution spatial organisation, neighbourhood complexity, and immune cell co-localisation during sequential lymph node metastasis.
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE328422_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA1454945. Searching any of these in the dataset finder brings you back here.

Study design
6 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 6 sample titles: 6 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.

Samples in this study
More Breast cancer datasets

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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.