TATTOO-seq delineates spatial and cell type-specific regulatory programs during limb patterning
Bastide, S.; Chomsky, E.; Saudemont, B.; Loe-Mie, Y.; Schmutz, S.; Novault, S.; Marlow, H.; Tanay, A.; Spitz, F.
Show abstract
The coordinated differentiation of progenitor cells into specialized cell types and their spatial organization into distinct domains is central to embryogenesis. Here, we applied a new unbiased spatially resolved single-cell transcriptomics method to identify the genetic programs that underlie the emergence of specialized cell types during limb development and their integration in space. We uncovered combinations of transcription factors whose expression patterns are predominantly associated with cell type specification or spatial position, enabling the deconvolution of cell fate and position identity. We demonstrate that the embryonic limb undergoes a complex multi-scale re-organization upon perturbation of one of its spatial organizing centers, including the loss of specific cell populations, specific alterations in the molecular identities of other pre-existing cell states and changes in their relative spatial distribution. Altogether, our study shows how multi-dimensional single-cell and spatially resolved molecular atlases could reveal the interconnected genetic networks that regulate the intricacies of organogenesis and its reorganization upon genetic alterations.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Temporal constraints on enhancer usage shape the regulation of limb gene transcription 95%
- Distinct Gene Regulatory Dynamics Drive Skeletogenic Cell Fate Convergence During Vertebrate Embryogenesis 95%
- Normalisr: normalization and association testing for single-cell CRISPR screen and co-expression 95%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.