Cell Atlas

Every cell is one point. Drag to pan, scroll to zoom, shift-drag to select a region; click any group in the legend to isolate it. Use Colour cells by to switch between cell type, cluster, library, quality-control metric and the expression of a single gene.

UMAP — this re-analysis

Drawn from the same exported coordinates and labels the interactive atlas above uses, so the figure and the atlas cannot disagree. 49,166 cells.

Coloured by Leiden cluster (27)
UMAP of the re-analysed NVECT_gastrula, coloured by Leiden cluster, each labelled with its number

Each cluster's number is placed at its own centroid, so the grouping can be read without relying on colour. These are Leiden clusters, not named cell types.

Cell types in this dataset

Click a cell type to isolate it in the atlas above. The bar beside each percentage is drawn to scale: a cell type at 2.6 % fills 2.6 % of the track, so the rows can be ranked by eye without reading the numbers.

Cell type Cells Percent Markers
Cluster 3 6,477 marker genes
Cluster 9 4,851 marker genes
Cluster 11 3,969 marker genes
Cluster 17 3,507 marker genes
Cluster 4 2,947 marker genes
Cluster 13 2,768 marker genes
Cluster 0 2,704 marker genes
Cluster 5 2,280 marker genes
Cluster 1 2,197 marker genes
Cluster 10 2,076 marker genes
Cluster 15 1,890 marker genes
Cluster 2 1,591 marker genes
Cluster 6 1,575 marker genes
Cluster 8 1,502 marker genes
Cluster 16 1,299 marker genes
Cluster 22 1,091 marker genes
Cluster 12 986 marker genes
Cluster 18 836 marker genes
Cluster 26 833 marker genes
Cluster 14 644 marker genes
Cluster 23 641 marker genes
Cluster 20 624 marker genes
Cluster 7 577 marker genes
Cluster 25 475 marker genes
Cluster 24 435 marker genes
Cluster 21 200 marker genes
Cluster 19 191 marker genes
27 cell types 49,166

Quality control for this dataset

These are the figures actually applied to the cells shown above, not the values requested in a configuration file. Every dataset is filtered independently; see Single-cell Data for the full table across all datasets.

Source BioProject PRJNA823660
SRA study SRP367642
GEO series GSE200198
Library type 10x Genomics Chromium (high confidence)
Libraries integrated 16
Cells reported by source 55042
Cells before filtering 55,042
Cells after cell filtering 49,195
Doublets removed 29 (0.06%)
Cells after filtering 49,166
Retained 89.3%
Filtering strategy Per-library MAD outlier detection (adaptive)
Thresholds applied adaptive: per-library MAD (5.0 MADs) on UMI, genes and MT%, floor 200 genes, floor 500 UMI
Mitochondrial genes found 0 — too few for a reliable MT% filter, so none was applied
Doublet method Scrublet (per library)
Integration method Harmony on sample (16 libraries)
Cell-type annotation Not assigned - Leiden clusters only
Cell-type labels from none - Leiden clusters; no cluster reached 2 marker-panel hits; labels are Leiden cluster identities, not cell types (0 of 1350 ranked features match any of the 12 panel patterns, 0 are composite 'id|homology-transfer' names; no ranked feature matches any
Pipeline version cnidosite-sc-1.0.0
Processed 2026-09-20T03:34:23+00:00
Clusters / cell types 27 clusters (no cell types asserted)
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