Computational Genomics Group
Research in our lab focuses on embracing high-throughput single-cell sequencing technologies to understand a cellular heterogeneity of healthy and diseased complex tissues with particular focus on the eye. We encourage highly motivated individuals at all levels of scientific training and background to reach out me regarding opportunities in our lab.
Research Summary
To gain valuable insights into complex biological systems and processes, it is essential to measure features of interest in individual cells. The single-cell transcriptomics and epigenomics allow researchers to uncover rare cell types, reveal the diversity of cell populations, infer the developmental trajectories of cell lineages, and discover their regulatory mechanisms. Recent progress in developing high-throughput single-cell methods allows researchers to study cell types and states of a tremendous number of cells (1 million and beyond).
Contact details:
Phone: +48 609 877 462
Leader: Marcin Tabaka, mtabaka@ichf.edu.pl
Coordinator: Lidia Wolińska-Nizioł, lwolinska-niziol@ichf.edu.pl
Research Group Leaders & Coordinators
Senior Researchers
Postdoctoral Researchers
Doctoral Researchers
Research Technicians
Publications
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Ocelli: an open-source tool for the analysis and visualization of developmental multimodal single-cell data
10.1093/nargab/lqaf040
2025
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Nature Communications
A combination treatment based on drug repurposing demonstrates mutation-agnostic efficacy in pre-clinical retinopathy models
10.1038/s41467-024-50033-5.
2024
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The Journal of Biological Chemistry
Conditional deletion of miR-204 and miR-211 in murine retinal pigment epithelium results in retinal degeneration
10.1016/j.jbc.2024.107344
2024
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The Journal of Biological Chemistry
Restoring retinal polyunsaturated fatty acid balance and retina function by targeting ceramide in AdipoR1-deficient mice
10.1016/j.jbc.2024.107291
2024
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Proceedings of the National Academy of Sciences
Distinct mouse models of Stargardt disease display differences in pharmacological targeting of ceramides and inflammatory responses,
10.1073/pnas.2314698120
2023
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bioRxiv
Ocelli: a new comprehensive method for multimodal single-cell data analysis
10.1101/2023.10.05.561074
2023
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Nature Communications
spinDrop: a droplet microfluidic platform to maximise single-cell sequencing information content
10.1038/s41467-023-40322-w
2023
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Proceedings of the National Academy of Sciences
Stress resilience-enhancing drugs preserve tissue structure and function in degenerating retina via phosphodiesterase inhibition
10.1073/pnas.2221045120
2023
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JCI Insight
Inhibition of ceramide accumulation in AdipoR1–/– mice increases photoreceptor survival and improves vision
10.1172/jci.insight.156301
2022
2025 
Open positions in this team
- Test job for CGG Recruitment open
