Marcin Tabaka, PhD
PhD, Jagiellonian University, Institute of Physical Chemistry (PAS)
CGG Group Leader
Gene expression, high-throughput single-cell genomics, cell reprogramming, immunology and cancer pathogenesis
Description
Dr. Marcin Tabaka graduated from the Jagiellonian University Faculty of Chemistry in 2004. He obtained a PhD degree at the Institute of Physical Chemistry, Polish Academy of Science (IPC PAS) in 2009. He worked as a Postdoctoral Research Fellow in Mathematical Biology at IPC PAS (2010-2014) and then at the Klarman Cell Observatory headed by Aviv Regev at the Broad Institute of MIT and Harvard, Cambridge, MA, USA (2014-2019).
He started his career as group leader at ICTER in September 2020. Dr. Marcin Tabaka is a co-author of 27 scientific papers in high-impact journals, including Nature, Cell, and PNAS (Google Scholar).
His scientific interest focuses on applications of high-throughput single-cell genomics technologies in diverse research areas. He has been involved in studies on cell reprogramming, immunology, and cancer, among others.
Projects:
OPUS 21 2021/41/B/NZ7/03786,
Science for the Society NdS-II/SP/0195/2023/01,
OPUS 25 2023/49/B/NZ9/01925,
MAB II (FENG.02.01IP.05-T005/23).
Publication list
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Ocelli: an open-source tool for the analysis and visualization of developmental multimodal single-cell data
10.1093/nargab/lqaf0402025
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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.2024.1073442024
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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.2024.1072912024
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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.23146981202023
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bioRxiv
Ocelli: a new comprehensive method for multimodal single-cell data analysis
10.1101/2023.10.05.5610742023
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Nature Communications
spinDrop: a droplet microfluidic platform to maximise single-cell sequencing information content
10.1038/s41467-023-40322-w2023
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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.22210451202023
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JCI Insight
Inhibition of ceramide accumulation in AdipoR1–/– mice increases photoreceptor survival and improves vision
10.1172/jci.insight.1563012022
Research projects
Research groups
We are interested in creating new approaches for comprehensive inference of developmental trajectories and delineation of cell atlases from single-cell data, understanding the role of cell-to-cell signaling and biological pathways in lineage commitment and transitions between cellular states.