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STRAND — Subcellular Transcript RNA Architecture and Navigation Database
STRAND is a curated collection of subcellular-resolution spatial transcriptomics datasets, harmonized into a single processed format for downstream analysis (cell-type annotation, RNA localization patterns, colocalization, compartment/RNAflux, segmentation QC).
Overview
- 35 datasets / 95 samples (~236 GB total)
- Platforms: MERFISH, SeqFISH+, Molecular Cartography, STARmap, Xenium, CosMx, MERSCOPE
- Species: human, mouse
- Tissues: brain, liver, gut/intestine, pancreas, and multiple cancer types (ovarian, breast, lung, colorectal, bladder, lymphoma, mesothelioma, ...)
File Organization
Each dataset has its own folder. Datasets with multiple samples/slices contain multiple .pkl files:
Dataset10_Xenium_MouseBrain/
├── Dataset10_1_Xenium_MouseBrain_data_dict.pkl
├── Dataset10_2_Xenium_MouseBrain_data_dict.pkl
└── ...
Dataset26_CosMx_HumanOvarianCancer/
└── Dataset26_CosMx_HumanOvarianCancer_data_dict.pkl
The folder name encodes Dataset<N>_<platform>_<tissue>; the file name additionally carries
the sample/slice index.
Data Format
Each *_data_dict.pkl is a Python dict (standard pickle) with the following keys:
| Key | Type | Description |
|---|---|---|
data_df |
DataFrame |
Transcript-level table, one row per detected transcript. Columns: cell, gene, x, y, z, umi (x/y/z in microns, umi = count). |
coordinates |
DataFrame |
Per-cell table: cell centers plus fov and batch columns (each cell's field-of-view / batch membership). |
expression |
DataFrame |
Cell × gene expression matrix (wide format). |
cell_boundary |
dict |
{cell_id: DataFrame(x, y)} — polygon vertices of each cell's segmentation boundary. |
nuclear_boundary |
dict |
{cell_id: DataFrame(x, y)} — polygon vertices of each nucleus (only for datasets with nuclear segmentation / DAPI). |
metadata |
dict |
Dataset-level metadata (platform, tissue, species, etc.). |
Notes
data_dfhas nofovcolumn — a transcript's FOV is resolved by joining itscelltocoordinates(cell → fov).- CosMx datasets additionally contain an
unassigned_data_df(free transcripts withcell = NA). - Column dtypes may vary across platforms (e.g. CosMx uses
category/float32/int16); read tolerantly.
Loading
import pickle
path = "Dataset26_CosMx_HumanOvarianCancer/Dataset26_CosMx_HumanOvarianCancer_data_dict.pkl"
with open(path, "rb") as f:
d = pickle.load(f)
print(d.keys())
print(d["data_df"].head()) # transcripts: cell, gene, x, y, z, umi
print(d["coordinates"].columns) # cell centers + fov, batch
License and attribution
The curated files in this repository are derived works: each dataset was re-processed from a publicly available, previously published dataset into the unified STRAND format described above.
- This curated collection (harmonized
.pklfiles, folder structure and metadata) is released under CC BY 4.0. - The underlying data remain subject to the terms of their original sources, listed per dataset below. Users who redistribute or publish analyses based on these files should cite both STRAND and the original study/repository of the dataset(s) used.
Source datasets
| # | Folder | Platform | Species / tissue | Samples | Original source |
|---|---|---|---|---|---|
| 1 | Dataset1_seqfish+_fibroblast |
SeqFISH+ | Mouse / Skin | 1 | figshare |
| 2 | Dataset2_MolecularCartography_cardiomyocytes |
Molecular Cartography | Human / Heart | 4 | figshare |
| 3 | Dataset3_STARmap_MouseBrain |
STARmap | Mouse / Brain | 12 | Google Drive |
| 4 | Dataset4_merscope_MouseLiver |
MERFISH | Mouse / Liver | 1 | Vizgen |
| 5 | Dataset5_merfish_u2os |
MERFISH | Human / Bone | 1 | figshare |
| 6 | Dataset6_merfish_intestine |
MERFISH | Mouse / Intestine | 1 | Dryad |
| 7 | Dataset7_merfish_MurineGut |
MERFISH | Mouse / Gut | 8 | Dryad |
| 8 | Dataset8_merfish_HumanLiverDonors |
MERFISH | Human / Liver | 2 | Zenodo |
| 9 | Dataset9_Xenium_HumanOvarianCancer |
Xenium | Human / Ovary | 1 | SPATCH (PKU Genomics) |
| 10 | Dataset10_Xenium_MouseBrain |
Xenium | Mouse / Brain | 6 | 10x Genomics |
| 11 | Dataset11_Xenium_HumanBrain |
Xenium | Human / Brain | 3 | 10x Genomics |
| 12 | Dataset12_Xenium_HumanColon |
Xenium | Human / Colon | 4 | 10x Genomics |
| 13 | Dataset13_Xenium_HumanLungCancer |
Xenium | Human / Lung | 2 | 10x Genomics |
| 14 | Dataset14_Xenium_HumanPancreas |
Xenium | Human / Pancreas | 1 | 10x Genomics |
| 15 | Dataset15_Xenium_HumanOvarianCancer |
Xenium | Human / Ovary | 1 | 10x Genomics |
| 16 | Dataset16_Xenium_HumanBreastCancer |
Xenium | Human / Breast | 3 | 10x Genomics |
| 17 | Dataset17_Xenium_HumanLymphomaCancer |
Xenium | Human / Lymphoid | 3 | Zenodo |
| 18 | Dataset18_Xenium_HumanBladderCancer |
Xenium | Human / Bladder | 1 | Zenodo |
| 19 | Dataset19_Xenium_HumanColorectalCancer |
Xenium | Human / Colorectum | 3 | Zenodo |
| 20 | Dataset20_Xenium_HumanLungCancer |
Xenium | Human / Lung | 3 | Zenodo |
| 21 | Dataset21_Xenium_HumanBreastCancer |
Xenium | Human / Breast | 3 | Zenodo |
| 22 | Dataset22_Xenium_HumanOvarianCancer |
Xenium | Human / Ovary | 3 | Zenodo |
| 23 | Dataset23_CosMx_HumanLungAdenocarcinoma |
CosMx | Human / Lung | 1 | GEO GSM9046088 (series GSE299786) |
| 24 | Dataset24_CosMx_HumanMesothelioma |
CosMx | Human / Pleural | 1 | GEO GSM9046090 (series GSE299786) |
| 25 | Dataset25_CosMx_HEK293T |
CosMx | Human / Kidney | 1 | pending |
| 26 | Dataset26_CosMx_HumanOvarianCancer |
CosMx | Human / Ovary | 1 | SPATCH (PKU Genomics) |
| 27 | Dataset27_CosMx_HumanLiverCancer |
CosMx | Human / Liver | 1 | SPATCH (PKU Genomics) |
| 28 | Dataset28_CosMx_HumanBreastCancer |
CosMx | Human / Breast | 1 | Zenodo |
| 29 | Dataset29_CosMx_HumanLungCancer |
CosMx | Human / Lung | 1 | Zenodo |
| 30 | Dataset30_CosMx_HumanOvarianCancer |
CosMx | Human / Ovary | 1 | Zenodo |
| 31 | Dataset31_CosMx_HumanColorectalCancer |
CosMx | Human / Colorectum | 1 | Zenodo |
| 32 | Dataset32_CosMx_HumanLymphomaCancer |
CosMx | Human / Lymphoid | 1 | pending |
| 33 | Dataset33_merfish_u2os |
MERFISH | Human / Bone | 7 | Zhuang Lab |
| 34 | Dataset34_Xenium_MouseBrain |
Xenium | Mouse / Brain | 3 | 10x Genomics |
| 35 | Dataset35_CosMx_HumanLung |
CosMx | Human / Lung | 8 | Bruker / NanoString |
Two entries are still pending source confirmation and will be completed in a future revision.
Citation
STRAND: A Comprehensive Subcellular-Resolved Spatial Transcriptome RNA Architecture and Navigation Database. Manuscript in preparation. Database: https://strand.phasep.pro
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