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Spatial transcriptomics of triple negative breast cancer

GSE210616 Homo sapiens (human) Spatial transcriptomics 43 samples Submitted 2022/11/02 Platform GPL24676
At a glance

Spatial transcriptomics · human · 43 samples

What it is
Spatial transcriptomicsGene activity measured with its position in a tissue section.
Organism
Homo sapiens (human)
Topic
Breast cancerThis series is part of our curated briefing on it.
Samples
43 samples: 21 conditions, mostly in duplicateGroups 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)
Triple negative breast cancer (TNBC) is an aggressive and clinically challenging subtype of breast cancer. TNBC disporportionately affects African-American (AA) women, but the biological basis of this disparity is not understood. To gain a better understanding of TNBC, particularly in AA patients, we applied spatial transcriptomics to thoroughly characterize gene expression and tissue architecture in TNBC. Our cohort consisted of 22 patients, 15 of whom were AA, and 7 who were Caucasian. We obtained 2 sections from each patient's tumor (except for patient 19) for a total of 43 samples.
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 (GSE210616_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.

Also filed as BioProject PRJNA866496. Searching any of these in the dataset finder brings you back here.

Study design
21 conditions, mostly in duplicate
Primary TNBC, patient 9, section ×2 Primary TNBC, patient 11, section ×2 Primary TNBC, patient 12, section ×2 Primary TNBC, patient 13, section ×2 Primary TNBC, patient 14, section ×2 Primary TNBC, patient 15, section ×2 Primary TNBC, patient 1, section ×2 Primary TNBC, patient 2, section ×2 +14 more

Supports a between-group comparison across 42 samples.

How we read this: 21 replicated groups read from 43 sample titles; they account for 42 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.

Samples in this study

+ 3 more — browse all 43 samples with per-sample file links →

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.