The Oomen Lab Department of Molecular, Cell and Cancer Biology - UMass Chan Medical School

Projects

stem cells in dish with images of different mammalian species

Our research investigates how transposable elements regulate, and are regulated by, the mammalian genome, combining evolutionary genomics with functional experiments in stem cell systems and differentiation models. We pursue three interconnected research themes, using mammalian stem cells and differentiation models combined with computational and experimental approaches.

Evolution of a TE family showing phylogenetic tree, sequence features such as TF motifs, and structural characteristics of LTRs, LINEs, SINEs and DNA transposons
TEs throughout Evolution Tracing transposable element co-option across mammalian genomes

We use comparative genomic and transcriptomics approaches to trace how evolutionary ancient transposable element families have been co-opted as cis-regulatory elements over the course of mammalian evolution, revealing the rules that govern when and how a TE becomes a host gene regulator.

Schematic figure of different mechanisms in which TEs can control the epigenome of neighboring regions
TEs as Regulators of the Epigenome Epigenetic regulation of transposable elements in stem cells and differentiation

Using mammalian stem cells and differentiation models, we investigate how the host epigenome controls TE activity and how TE sequences feed back to shape the epigenetic landscape of nearby genes.

Schematic figure of how TEs can be used for chimeric transcripts, transcription across different mammalian species and driving expression of neighboring genes
TEs in their Genomic Context Transposable element (mis)regulation in development and disease

TEs are known to drive transcriptional programs in development, as well as in certain diseases such as cancer. We study the mechanisms in which TE sequences wire the surrounding genome, and explore what happens to neighboring genes when TEs become (untimely) expressed.

Open science

We are committed to sharing our data, code, and protocols openly. Code for published analyses is deposited on GitHub; raw and analyzed data are deposited in SRA and GEO.

Explore Marlies’ postdoc data in the shiny app