Resources
Explore our interactive atlas, access the TrackerSeq protocol, and find datasets and analysis code from our studies.
Interactive atlas
The Mouse Inhibitory Neuron Development atlas lets you explore gene expression across developing cell states in the mouse ganglionic eminences. Search for a gene and compare its expression across developmental trajectories, without writing code.
Open the atlas, hosted on a Max Planck server.
TrackerSeq
TrackerSeq combines heritable lineage barcodes with single-cell transcriptomics. The protocol describes how to prepare barcode libraries, deliver them by in utero electroporation and recover the barcodes from single-cell data.
- TrackerSeq protocol (PDF)
- Analysis pipeline, including the probabilistic model for assigning barcodes to cells
- Original publication
If you would like to adapt TrackerSeq to another system, please get in touch. We are happy to discuss experimental design and analysis. Examples of collaborative applications are listed on Publications.
Open data and code
Publicly available datasets from our group and Christian Mayer’s earlier research are listed below, with direct links to the Gene Expression Omnibus (GEO).
| Study | Data | GEO accession |
|---|---|---|
| Bright et al., Nature Neuroscience 2025 | scRNA-seq | GSE255455 |
| Bright et al., 2025 | scATAC-seq | GSE255104 |
| Bright et al., 2025 | Total RNA-seq | GSE255103 |
| Bright et al., 2025 | CUT&RUN | GSE285727 |
| Dvoretskova et al., Nature Neuroscience 2024 | TrackerSeq, tCROP-seq and MEIS1/2 ChIP-seq | GSE231779 |
| Bandler et al., Nature 2022 | TrackerSeq scRNA-seq, medial, lateral and caudal ganglionic eminences, embryonic day 13.5 | GSE188528 |
| Mayer et al., Nature 2018 | scRNA-seq across development, from ganglionic eminences to adult cortex | GSE104158 |
Analysis code
| Repository | Contents |
|---|---|
| TrackerSeq | Lineage-barcode pipeline, including the probabilistic model for assigning barcodes to cells |
| Dvoretskova et al., 2024 | Analysis code for the Nature Neuroscience study |
| Bright et al., 2025 | Analysis code for the Nature Neuroscience study; associated archives on Zenodo: 15195252 and 15195253 |
| Additional repositories | Further code from the group |
Datasets from collaborative studies led by other groups are linked in the data availability statements of the respective papers.
Data awaiting public release
Data for Dvoretskova et al. (preprint, 2026), including tCROP-seq, TrackerSeq, CUT&RUN and mass spectrometry, have been deposited; public release is planned with journal publication.
Discuss our work
For questions about methods or resources, contact us by email or through our public Matrix channel. Lab updates are also shared on the Fediverse.