Metadata table
Access and review the metadata associated with the 17 datasets used in this study.
Features
A detailed overview of the features available in the scLRSomatoDev application.
Gene Expression Features
Clustering Results and feature plots
Visualize the distinct cell-type populations in the dataset using UMAP (or alternative dimensionality reduction methods) and explore the expression profiles of one or two genes.
Absolute expression
Visualize the expression profiles of multiple genes per cell-type across cortical development using a heatmap or Dot plot.
Pseudo-maturation
Visualize the dynamics of gene expression along the pseudo-maturation axis.
Pseudo-layer
Visualize the dynamics of gene expression along the pseudo-layer axis.
Transcriptional landscape
Visualize the dynamics of gene expression along both the pseudo-maturation and pseudo-layer axes, represented as a 2D map.
Ligand-Receptor Features
LRintercellNetworkDB
Explore the curated database of ligand-receptor pairs.
LR Table
Access the tables resulting from intercellular and intracellular signaling analyses performed with scSeqComm (Baruzzo et al., 2022) for each developmental age, .ie., E18.5-P0, P1-P2, P4-P5, P8, P16, P30, and Adult.
Number of interactions
Visualize the number of predicted interactions (ligand-receptor pairs) between each cell-type pair for each developmental age, .i.e. , E18.5-P0, P1-P2, P4-P5, P8, P16, P30, and Adult.
Intercellular/Intracellular signaling
Visualize which ligand-receptor pairs are likely to be present between cell-type pairs and the pathways in which they are involved.
Try a Lite Version of the App
Experience our interactive data exploration tool online
This is the Lite version of scLRSomatoDev, offering a selection of key features from the full version.
For full access to all features of scLRSomatoDev,
please follow the tutorial below to install and run the complete local version.
For full access to all features of scLRSomatoDev,
please follow the tutorial below to install and run the complete local version.
Installation instructions and documentation are available on the scLRSomatoDev Documentation and our GitHub repository.
No installation required • Works in your browser
Contact Us
Get in touch with our research team or reach out for technical support with the application.
Principal Investigators
Dr. Antoine de Chevigny
Principal Investigator, Institute of Neurobiology of the Mediterranean sea (INMED)
National Institute for Health and Medical Research (INSERM UMR1249)
Dr. Ludovic Telley
Principal Investigator, Mechanisms in integrated Life Sceince (MeLiS)
University Claude Bernard Lyon 1, MeLiS-UCBL, CNRS UMR5284-INSERM U1314, Lyon, France
Technical Support
For app-related issues or feedback
email us at support@sclrsomatodev.online
Report issues on our GitHub repository