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Biology subjects

Mukamel, Z.

Publications and source records attributed to Mukamel, Z..

2 recordsLinked to original sources

Single cell analysis reveals dynamics of transposable element transcription following epigenetic de-repression

Spontaneous or pharmacological loss of epigenetic repression exposes thousands of promoters encoded in transposable elements (TEs) for pervasive transcriptional activation. How TE responses differ between epigenetically relaxed cancer cells and what factors govern such variation remains however largely unknown. By quantifying TE transcription initiation at single cell and locus resolution in epigenetically targeted cancer cells, we characterize specific groups of co-regulated loci that drive over ten-fold variation in TE load per single cell. Such variable activity patterns are largely linked to cell cycle stages, stress response signatures, and immune pathways. Furthermore, cells with high levels of specific transcription factors show increased TE expression, while within such cells, multi-copy families are differentially regulated in response to local sequence divergence of binding sites and the locus repressive or active chromosomal contexts. Our data thereby implicates the regulation of potent promoters within TEs as an underestimated source of transcriptional heterogeneity following epigenetic therapy.

genomics↗

Cnidarian cell type diversity revealed by whole-organism single-cell RNA-seq analysis

A hallmark of animal evolution is the emergence and diversification of cell type-specific transcriptional states. But systematic and unbiased characterization of differentiated gene regulatory programs was so far limited to specific tissues in a few model species. Here, we perform whole-organism single cell transcriptomics to map cell types in the cnidarian Nematostella vectensis, a non-bilaterian animal that display complex tissue-level bodyplan organization. We uncover high diversity of transcriptional states in Nematostella, demonstrating cell type-specific expression for 35% of the genes and 51% of the transcription factors (TFs) detected. We identify eight broad cell clusters corresponding to cell classes such as neurons, muscles, cnidocytes, or digestive cells. These clusters comprise multiple cell modules expressing diverse and specific markers, uncovering in particular a rich repertoire of cells associated with neuronal markers. TF expression and sequence analysis defines the combinatorial code that underlies this cell-specific expression. It also reveals the existence of a complex regulatory lexicon of TF binding motifs encoded at both enhancer and promoters of Nematostella tissue-specific genes. Whole organism single cell RNA-seq is thereby established as a tool for comprehensive study of genome regulation and cell type evolution.

genomics↗