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Elisabeth (Liz) Rebboah

Postdoctoral Scholar | RNA Enthusiast

San Diego, CA | erebboah@gmail.com

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About Me

Computational biologist with a background in experimental assay development, specializing in large-scale single-cell and multi-omic data.

Research Interests

  • NGS assay development
  • Characterization of transcriptional regulation across cell types and cell states
  • Multi-omics data integration

Education

PhD in Computational Biology, UC Irvine (2024)

BS in Bioengineering, UC San Diego (2015)

IGVF Project: Characterization of gene expression variation across Collaborative Cross founder strains

Exploring the impact of genotype on gene expression across 8 core tissues using snRNA-seq. Findings include expansion of immune cell subtypes in key metabolic tissues of a well-characterized diabetes-prone strain (NZO) as well as early detection of transcriptional over-activation in skeletal muscle stem cells of a mouse strain (A) known to develop muscular dystrophy.

Link to paper (placeholder) | Public datasets (placeholder)

IGVF figure

ENCODE Project: Mouse postnatal development at the single-cell level

Contributed to ENCODE with half a million snRNA-seq nuclei, building foundational resources for developmental single-nucleus atlases across 5 core tissues. Identified key drivers of transcriptional programs in dynamic and sex-specific cell types by integrating gene expression with open chromatin signatures.

Link to paper (placeholder) | Public datasets (placeholder)

ENCODE figure

Spatial transcriptomics in mouse hypothalamus & pituitary

Current focus: Characterization of cell types and states in key brain tissues with multiplexed FISH (MERFISH) integration with whole-transcritome single-cell data.

GitHub Repo

Spatial project figure