Placozoa cell atlas
                    The evolutionary assembly of major animal cell type programs occurred early in animal evolution. Studying non-bilaterian lineages like placozoans offers the opportunity to reconstruct this process. Placozoans are small disc-shaped animals that inhabit subtropical and tropical seas worldwide, feeding by extracellular digestion on microbial mats. Placozoans have no neurons, but their six described cell types show coordinated behaviours triggered by peptides secreted by specialized endocrine cells. To gain detailed insights into the diversity, regulation and evolution of placozoan cell type programs, here we measured 65,000 single-cell transcriptomes and genome-wide chromatin maps in four placozoan species. We found highly-conserved cell type gene expression programs across placozoans, including populations of meiotic, transdifferentiating and cycling cells. Our comparative atlas also reveals an unexpected diversity of peptidergic cell types in placozoans: fourteen compared with nine other somatic cell types. These cells express unique transcription factor, GPCR, and neuropeptide combinations, as well as a highly conserved set of neuronal genes, including a complete presynaptic scaffold and neuropeptide processing genes. Moreover, we identify peptidergic cell progenitors with hallmarks of cnidarian and bilaterian neurogenesis. In contrast, we show that these neuronal gene programs are absent from earlier-branching animal lineages like sponges and ctenophores. Altogether, our results suggest that key neuronal ontogenetic and effector gene modules evolved before the advent of cnidarian-bilaterian neurons, in the context of endocrine-secretory cells.The app has two main components:
1) Cell atlases allows the exploration of the datasets in a species-focused manner and from different perspectives (single genes, groups of genes, cell type markers).
2) Species comparisons allows the comparison of cell type transcriptional similarities using different metrics, set of orthologs, and selection of variable markers. The interactive heatmaps allow the retrieval of shared gene lists between the selected pair of cell types.
                    Cell atlases
This section allows the exploration of the datasets in a species-focused manner and from different perspectives.First, select your species of interest and click on
Generate cell atlas.Then you can explore four pages:
Overview – metacells and single-cells 2D projection, cell type labels, and metacell heatmap showing expression of highly variable genes. Here you can download the metacell regularized gene expression matrix and the raw single-cell UMI counts matrix.
Single gene query – select your gene of interest by geneID or launch a BLAST search with your protein of interest (you need to select the hit of interest, if any).
Multiple genes query – this allows the visualization of multiple genes at once. You can search genes by name or by Pfam domain (e.g. “Myosin_head/” will retrieve you all the genes with a myosin domain) and you can also upload a list of interest. We also provide predefined lists of genes for different families/sets of function (e.g. cell adhesion, GPCRs, transcription factors),
Cell type markers – first you need to select one or more metacells or a cell type of interest. Then, you need to select an expression threshold for marker selection. Optionally, you can request that the gene is expressed in all other metacells below a certain threshold (in each of them – absolute – or as a median value).
This generates a table of the top marker genes fulfilling the selected criteria. You can sort them using different metrics and also specifically select transcription factors. This table can be downloaded.
Metacell 2D projection
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                        Cell type annotation
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                        Gene expression
                      
                        
                        Download metacell expression table
                      
                      
                        
                        Download single cell counts table
                      
                      
                      
                      
                        
                        
                        
                      
                      
                        
                          
                        
                      
                    
                  Heatmap below is showing relative enrichment of UMIs for genes (rows) in metacells (column number IDs) grouped in cell types (column color bar annotation). You can customize the number of genes shown in the heatmap below.
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                        Gene search
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                          Your search:
2D projection
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                        Cell type annotation
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                            Gene selection
Choose genes for which to plot the expression across metacells. Either search for genes by typing (part of) the name or gene id in the search bar, or upload a text file with genes.
Select genes to show on the heatmap either by clicking on the individual rows of the search results table followed by 'Add selected genes', or just by clicking 'Add all genes' to include all the search results.
Upload a text text file with genes. Each gene should be on the new line.
Choosen genes:
Heatmap
1. Metacells selection
Find genes that are specifically expressed in a group of cells.
It's possible to select one or more metacells, or individual cell types.
Select a cell type from existing annotations or upload your own annotation file.
                            Upload custom metacell-cell type annotation file
                            
                            
                          
                        Upload a tab-separated text file with the following columns: metacell, cell type, color
2. Fold change selection.
Select minimum fold change threshold to be used for filtering genes. Genes that have fc above this value in all selected metacells (if using absolute method) or median fc above this value in all selected metacells (if using median method) will be shown in the summary table.
It is also possible to set a maximum fc threshold for non-selected (background) metacells. In this case, the summary will only include genes that have fc above minimum threshold in selected metacells, and below maximum theshold in all other metacells.
3. Generate summary
Click to generate summary using specified parameters.
Your search:
Gene table
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                        Total UMIs is the total UMI count for a gene in selected metacells.
% UMIs is the percentage of UMIs for a gene that come from the selected metacells.
Median fc is the median enrichment of UMIs for a gene in selected metacells.
Download gene table Download gene table for selected genes
7. Species comparisons
This sections allows the systematic comparison of cell type transcriptomes across species and from two perspectives.Pairwise comparison – select a pair of species and then click on
Compare species. Then, you can select different parameters for the comparison and interactively explore the comparative heatmap to retrieve lists of genes shared between a pair of cell types.Ortholog comparison – select a gene ID for any of the species and you can visualize the expression of the orthologs in all four placozoan species (if there are any).
Parameters selection
                      Your search:
                      
                      
                      
                  When you change parameters, regenerate results by clicking 'Compare species' button on the sidebar.
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                      Selected cell type pair:
                      
                      
                      
                      
                      
                  Click on the cell in heatmap to see details about cell type pair similarity.
See below the table with annotation of shared genes for selected cell type.
Orthologs search
Your search:
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