Mouse kidney
A cohort primer: 59 datasets from 11 papers, embedded per technology family and jointly.
This primer describes a cohort; it is not a benchmark. It does not rank papers, technologies or methods. The batch correction (Harmony on the section) is shown for orientation only: well-mixed embeddings are not proof of a correct biology. This cohort's technologies may also differ by paper and lab. Where one paper used one technology, a technology effect can't be separated from a paper effect.
5 members dropped
OdXk8AQvash9eXa0000010x re-release of a section kept in a newer release (1,438 cells)kJebENFSPZVSxcPa0000no paper (no study_id, series or collection) (336,623 cells)nkg8VOWpvpqmnOOJ0000no paper (no study_id, series or collection) (421,140 cells)nWObj5iNaX2P3kSl0000no paper (no study_id, series or collection) (397,721 cells)xAcYIBmeJkYa9ZtY0000no paper (no study_id, series or collection) (320,131 cells)
An equal share per dataset, at most 50,000 points per view; datasets smaller than their share are kept whole.
Counts per cell, bin or spot, from the points of the family views. Each dot is an observation; the violin shows each dataset's spread.
! marks a dataset the QC step flagged; hover its name for the reason.
Genes with at least one count per cell, bin or spot, from the same points.
! marks a dataset the QC step flagged; hover its name for the reason.
| uid | Title | Technology | Paper | Licence | Status |
|---|---|---|---|---|---|
| S8nURiTjtQ5opsAx0000 | visium-hd-three-prime-mouse-kidney | Visium HD | 10x Genomics demo datasets | CC BY 4.0 | Kept |
| 1uZYdlOkO6lJ01us0000 | mouse-tissue-microarray-in-5x5-layout-with-1-mm-edge-to-edge-spacing-ffpe-2-standard | Visium | 10x Genomics demo datasets | CC BY 4.0 | Kept |
| SBUE1JyDEWoFeqL00000 | mouse-kidney-section-coronal-1-standard-1-1-0 | Visium | 10x Genomics demo datasets | CC BY 4.0 | Kept |
| OdXk8AQvash9eXa00000 | mouse-kidney-section-coronal-1-standard-1-0-0 | Visium | 10x Genomics demo datasets | CC BY 4.0 | Dropped: 10x re-release of a section kept in a newer release |
| 9z8u3Dix4eGkso0N0000 | GSM8659289 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| 1C4Vb3fEtnXsDroX0000 | adult-mouse-kidney-ffpe-1-standard-1-3-0 | Visium | 10x Genomics demo datasets | CC BY 4.0 | Kept |
| Fiahq4OKIYvpQqXt0000 | GSM8659280 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| kJebENFSPZVSxcPa0000 | GSM8717008 | Xenium | NCBI GEO policy | Dropped: no paper (no study_id, series or collection) | |
| agDrf8Dv9VyqA0si0000 | NCBI597 | Visium | hest-integration-of-spatial-and-single-cell-transcriptomics-localizes-epithelial-immune-cross-talk-in-kidney-injury | CC BY-NC-SA 4.0 (non-commercial) | Kept |
| 1EWiyjxa6QPuxqh20000 | NCBI598 | Visium | hest-integration-of-spatial-and-single-cell-transcriptomics-localizes-epithelial-immune-cross-talk-in-kidney-injury | CC BY-NC-SA 4.0 (non-commercial) | Kept |
| WZSaovLCsJkiWF2c0000 | NCBI596 | Visium | hest-integration-of-spatial-and-single-cell-transcriptomics-localizes-epithelial-immune-cross-talk-in-kidney-injury | CC BY-NC-SA 4.0 (non-commercial) | Kept |
| ssfAnmTU7tHlRb7l0000 | GSM9428103 | Xenium | geo-gse315435 | NCBI GEO policy | Kept |
| UWwYUTqhCqtRp4ow0000 | GSM9428104 | Xenium | geo-gse315435 | NCBI GEO policy | Kept |
| eXYyyHrwdx5L9iL80000 | GSM9428106 | Xenium | geo-gse315435 | NCBI GEO policy | Kept |
| CFj4xLRXNr43gBnR0000 | GSM9428105 | Xenium | geo-gse315435 | NCBI GEO policy | Kept |
| g0CnsMo9BuZhYzR00000 | GSM9428101 | Xenium | geo-gse315435 | NCBI GEO policy | Kept |
| 3ba4J0QZF4uXE02L0000 | GSM9428102 | Xenium | geo-gse315435 | NCBI GEO policy | Kept |
| HVKVnPeTrMFTx9Ty0000 | GSM8662446 | Visium HD | 10.1038/s41467-025-57926-z ↗ | NCBI GEO policy | Kept |
| T20h7X1RZrsEg8O80000 | GSM8662447 | Visium HD | 10.1038/s41467-025-57926-z ↗ | NCBI GEO policy | Kept |
| Q4WOm49uPIu3NQ6O0000 | GSM8441004 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| RiHSH9qnU5DTQbDq0000 | GSM8440998 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| EsKRKjncF0VQOrHD0000 | GSM8659260 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| LK6ojhhlUQ2kjXjq0000 | GSM8440997 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| cVoMz8bw6TION1TQ0000 | GSM8440999 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| 4h5ljZYfb1MnBw1w0000 | GSM8441002 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| jemKplLVhobfVxbn0000 | GSM8659296 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| Ud1hNpoaire2AHXv0000 | GSM8659202 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| hvM03A2y9tXEL4Zu0000 | GSM8659174 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| XbE3kPoLb7oafNHX0000 | GSM9580200 | Visium | 10.1681/ASN.0000001248 ↗ | NCBI GEO policy | Kept |
| 9NNCVo7S6i8m6vNj0000 | GSM8659179 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| Wgc4scrg3GorWqMt0000 | GSM9580202 | Visium | 10.1681/ASN.0000001248 ↗ | NCBI GEO policy | Kept |
| WgSIoOfGcSFdRJ4H0000 | GSM8659211 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| 5myRE3jozziJrraD0000 | GSM7123312 | Visium | geo-gsm7123312 | NCBI GEO policy | Kept |
| i2TlgWlpuW5Mqaga0000 | GSM9580203 | Visium | 10.1681/ASN.0000001248 ↗ | NCBI GEO policy | Kept |
| eBKZeXpdSQs59E600000 | GSM8659301 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| VVvS0QC3Hcch6qaD0000 | GSM7090416 | Visium | geo-gsm7090416 | NCBI GEO policy | Kept |
| s2bGD9UQmHk6Ieev0000 | GSM8441001 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| 5xpnmM5MmdlrVrJb0000 | GSM5543480 | Visium | geo-gse182939 | NCBI GEO policy | Kept |
| hqxIa94cm5zFiA2n0000 | GSM5543482 | Visium | geo-gse182939 | NCBI GEO policy | Kept |
| AuvzJcuF17sC6sSw0000 | GSM8659285 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| TaN3zCkXmVMXuKEv0000 | GSM8659221 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| nkg8VOWpvpqmnOOJ0000 | GSM8717007 | Xenium | NCBI GEO policy | Dropped: no paper (no study_id, series or collection) | |
| nWObj5iNaX2P3kSl0000 | GSM8717006 | Xenium | NCBI GEO policy | Dropped: no paper (no study_id, series or collection) | |
| 2BjfNGIrAIYZkuqa0000 | GSM5543483 | Visium | geo-gse182939 | NCBI GEO policy | Kept |
| eHY6Ce9SwGfZ0Kc50000 | GSM8323122 | Visium | geo-gse269622 | NCBI GEO policy | Kept |
| gh8oCMDt2w5aAksS0000 | GSM8323123 | Visium | geo-gse269622 | NCBI GEO policy | Kept |
| xAcYIBmeJkYa9ZtY0000 | GSM8717009 | Xenium | NCBI GEO policy | Dropped: no paper (no study_id, series or collection) | |
| VTH4sWHFN0KuPjrV0000 | GSM9580201 | Visium | 10.1681/ASN.0000001248 ↗ | NCBI GEO policy | Kept |
| gRmSJXC079KyfxwM0000 | GSM8323120 | Visium | geo-gse269622 | NCBI GEO policy | Kept |
| GnuLSu2xWXM4pTC30000 | GSM8323124 | Visium | geo-gse269622 | NCBI GEO policy | Kept |
| 77Wqbbj0goz4LT2n0000 | GSM5543481 | Visium | geo-gse182939 | NCBI GEO policy | Kept |
| AMW0iIXSwqyUZcPw0000 | GSM8323125 | Visium | geo-gse269622 | NCBI GEO policy | Kept |
| Tdf1vsWTZRjxhylV0000 | GSM8659270 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| u4BR1Qk37AR6WsHq0000 | GSM8659273 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| 76q9yU2ThGJHrgDt0000 | GSM5543479 | Visium | geo-gse182939 | NCBI GEO policy | Kept |
| ZqvUi2qMUmCqEOVJ0000 | GSM8441000 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| F0wrvAY9gjv0VGrL0000 | GSM8441003 | Visium | 10.1124/jpet.124.002330 ↗ | NCBI GEO policy | Kept |
| G5gKK4HV2I9lxhzk0000 | GSM8659305 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| V4BSuEVSwZCfoPoI0000 | GSM8659293 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| skpT5oSQUZpQnTHJ0000 | GSM8659234 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| kFkwJSOM5HovKIGn0000 | GSM8659310 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| EnQKFrJwldFUBmIt0000 | GSM8659165 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| QD7nbkMF1FaeC0vD0000 | GSM8323121 | Visium | geo-gse269622 | NCBI GEO policy | Kept |
| hY6i807e0B4navqX0000 | GSM8659229 | Visium | geo-gse283283 | NCBI GEO policy | Kept |
| View | Labels | Statistic | Before Harmony | After Harmony | Shuffled labels |
|---|---|---|---|---|---|
| Spot | Section | Entropy | 0.11 | 0.33 | 0.61 |
| Other share | 0.20 | 0.48 | 0.82 | ||
| Paper | Entropy | 0.02 | 0.22 | 0.62 | |
| Other share | 0.02 | 0.25 | 0.71 | ||
| Imaging | Section | Entropy | 0.80 | 0.87 | 0.92 |
| Other share | 0.69 | 0.76 | 0.79 | ||
| Paper | Not applicable: one paper. | ||||
| Joint | Section | Entropy | 0.39 | 0.47 | 0.59 |
| Other share | 0.64 | 0.74 | 0.84 | ||
| Paper | Entropy | <0.01 | 0.07 | 0.26 | |
| Other share | <0.01 | 0.08 | 0.29 | ||
| Technology | Entropy | <0.01 | 0.07 | 0.49 | |
| Other share | <0.01 | 0.05 | 0.29 | ||
- Entropy
- How evenly the block labels are spread among each observation's 30 nearest neighbours, divided by log(min(30, number of labels)): 0 when all neighbours share one label, 1 when the labels are as evenly spread as the neighbours allow.
- Other share
- The share of each observation's 30 nearest neighbours that carry another block.
- Shuffled labels
- The same statistic with the labels shuffled over the same neighbour graph: the value a fully mixed embedding would reach.
Section rows use the dataset_uid labels; paper and technology rows use those labels in the same way.
Well mixed is not the same as biologically right: a correction can also mix cells that differ for a real reason, such as tissue or disease.
Computed with spatialdata-db 0.1.3, scanpy 1.12.5, anndata 0.13.4, spatialdata 0.8.0, spatialdata-plot 0.4.2, rapids-singlecell-cu13 0.18.1 on NVIDIA B300 SXM6 AC in 1411 s, seed 0.