Panagiotis Papasaikas

This study uses optogenetics to show Hydra tissues integrate Wnt signaling over time, leading to pattern formation through cumulative transcriptional responses.

The paper shows that large transgene arrays in C. elegans cause transcriptional dysregulation and synthetic molting defects when combined with a myrf-1 mutation.

This study identifies a transcription factor toggle switch between Zic4 and Gata3 that controls epidermal cell identity in Hydra, showing their mutual antagonism determines cell fate.

This study shows that paternal DNA methylation affects nucleosome retention in sperm and H3K4 methylation deposition in early embryos.

This study shows that KDM2A and KDM2B prevent aberrant DNA methylation in mouse oocytes, which is critical for early embryonic development.

This study investigates the roles of LARP1 and 4EBP1/2 in regulating translation and stability of 5'TOP mRNAs using single-molecule imaging, showing 4EBP1/2's dominant repression and LARP1's selective protection.

The paper uses single-cell RNA sequencing in Hydra to show that morphallactic regeneration involves progressive cell fate specification, similar to epimorphic regeneration.

The paper shows Zic4 silencing induces transdifferentiation in Hydra and identifies a Wnt-controlled GRN that regulates cell fate and cell cycle re-entry.

The paper studies alternative splicing dynamics during mouse B cell reprogramming into iPS cells and identifies three RNA-binding proteins involved in splicing regulation.

This study identifies Hdac3 and Dax1 as repressors that restrict mESCs from transdifferentiating into extraembryonic endoderm by silencing Gata6 enhancers, while Nr5a2 and Esrrb promote this conversion.

The paper shows Wnt3 expression reflects tissue stretching during Hydra regeneration and can drive regeneration without mechanical input.

This study compares cell-type development and transcriptomes in human retinal organoids and adult retinas, finding convergence in transcriptomes and cell-type-specific disease gene expression.

The paper develops S-PrediXcan to compute gene expression associations from GWAS summary data and applies it to 44 GTEx tissues and 100+ phenotypes, finding tissue-specific effects and colocalized associations.