Veronica Finazzi

@veronicafin.bsky.social

EpiCrossBorders PhD student (Scialdone lab @ Helmholtz Munich and Vallejos lab @ IGC, Edinburgh) Exploring transposable element activity in single-cell omic datasets

🚨New preprint🚨, sharpening our characterisation of regulatory changes and human brain evolution. Thanks to new FANTOM6 data, we now focus on noncoding RNAs and how ncRNA–TF cooperation + selective cis-regulatory rewiring could have contributed to sapiens-specific aspects of cortical development 🧪🧠🧬

Co-regulatory changes in Homo sapiens prefrontal cortex shape RNA-chromatin interactions

Noncoding RNAs (ncRNAs) regulate gene expression through RNA-chromatin interactions, yet their role in human brain evolution remains unclear. To map these interactions, we integrated FANTOM6 neurogenic data with a comprehensive atlas of regulatory regions active during early cortical development. This integration effort linked ncRNAs and transcription factors (TFs) to their genomic targets, revealing functional interactions captured by RNA-DNA contact mapping, yet largely missed by chromatin conformation data. Overlaying these interactions with nearly fixed variants in Homo sapiens relative to extinct hominins uncovered widespread rewiring of TF binding, affecting genes implicated in progenitor proliferation and neuronal differentiation. Gene regulatory network reconstruction identified TEAD2 and ONECUT2 as key regulators of intermediate progenitors and migrating neurons. Functional perturbation followed by Cut&Tag and ATAC-seq linked the two TFs to disease - and evolutionarily- relevant pathways. Together, these results show how ncRNA-TF cooperation and selective cis-regulatory rewiring contributed to sapiens-specific features of cortical development. ### Competing Interest Statement The authors have declared no competing interest. Spanish Ministry of Science, PID2023-146627NB-I00 AGAUR/Generalitat de Catalunya, 2021-SGR-313 Telethon Research Grant, GGP19226 RE-MEND, 101057604

biorxiv.org

Happy to share our new preprint! 📊 We benchmarked methods for locus-level transposable element quantification in short-read scRNA-seq, using both real datasets and simulations with read-level ground truth. Huge thanks to @catavallejos.bsky.social and @antonio-scialdone.bsky.social! #TEsky

bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social · 5mo ago

Benchmarking computational tools for locus-specific analysis of transposable elements in single-cell RNA-seq datasets https://www.biorxiv.org/content/10.64898/2026.02.26.708244v1

I'm proud to share that our modeling of #YY1 haploinsufficiency has just been published! www.nature.com/articles/s41... Using #organoids and #neurons we discovered that YY1 mutations affect the cross-talk between cells and also cause a non-cell autonomous phenotype in a cell-type specific manner.

Article Metrics - YY1 mutations disrupt corticogenesis through a cell type specific rewiring of cell-autonomous and non-cell-autonomous transcriptional programs | Molecular Psychiatry

nature.com