Hydroxymethylation Landscape in Immunecells (Marcela Sjöberg)

Hydroxymethylation Landscape in Immunecells (Marcela Sjöberg)

In this episode of the Epigenetics Podcast, we caught up with Marcela Sjöberg from the Pontificia Universidad Católica de Chile to talk about her work on the hydroxymethylation landscape in immune cells.

At the beginning of her career Marcela Sjöberg worked on Aurora B and Polycomb and how modifications placed by them modulate the binding of RNA Pol II. Later, her focus shifted to examine cytosine DNA methylation and hydroxymethylation changes in immune cells and how the epigenetic state of these marks varies between individuals and is reprogrammed for Metastable Epialleles in mouse. More recently, the laboratory is interested on how hydroxymethylation of transcription factor binding motifs influence binding and activity of the respective transcription factors in immune cells.

References

  • Sabbattini, P., Sjoberg, M., Nikic, S., Frangini, A., Holmqvist, P.-H., Kunowska, N., Carroll, T., Brookes, E., Arthur, S. J., Pombo, A., & Dillon, N. (2014). An H3K9/S10 methyl-phospho switch modulates Polycomb and Pol II binding at repressed genes during differentiation. Molecular Biology of the Cell, 25(6), 904–915. https://doi.org/10.1091/mbc.e13-10-0628

  • Kazachenka, A., Bertozzi, T. M., Sjoberg-Herrera, M. K., Walker, N., Gardner, J., Gunning, R., Pahita, E., Adams, S., Adams, D., & Ferguson-Smith, A. C. (2018). Identification, Characterization, and Heritability of Murine Metastable Epialleles: Implications for Non-genetic Inheritance. Cell, 175(5), 1259-1271.e13. https://doi.org/10.1016/j.cell.2018.09.043

  • Westoby, J., Herrera, M.S., Ferguson-Smith, A.C. et al. Simulation-based benchmarking of isoform quantification in single-cell RNA-seq. Genome Biol 19, 191 (2018). https://doi.org/10.1186/s13059-018-1571-5

  • Viner, C., Johnson, J., Walker, N., Shi, H., Sjöberg, M., Adams, D. J., Ferguson-Smith, A. C., Bailey, T. L., & Hoffman, M. M. (2016). Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet [Preprint]. Bioinformatics. https://doi.org/10.1101/043794

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