Biology subjects

Piotrowska, A.

Publications and source records attributed to Piotrowska, A..

3 recordsLinked to original sources

bioRxiv2026

Primate Astrocyte Evolution Controls the Tempo of Neuronal Development

Prolonged neuronal maturation, also referred to as neoteny, constitutes a hallmark of human brain evolution. Yet, the mechanisms controlling neotenic brain development remain poorly understood, and have been defined as neuron-intrinsic. Astrocytes shape synapse formation, activity, and elimination, and have changed substantially between humans and other species. Yet, whether the evolutionary divergence in astrocytes shapes the timing of neuronal maturation is unknown. Here, we show that astrocytes from humans and their closest living relatives, chimpanzees, exert contrasting effects on neuronal maturation: chimpanzee astrocytes accelerate it, whereas human astrocytes delay it, without affecting neuronal survival. Through comparative transcriptomics and epigenomics, we find that evolutionarily reduced APOE expression in human astrocytes underlies the observed delay in neuronal maturation: restoring APOE levels in human astrocytes accelerates neuronal development. We further establish that the Hippo-TEAD signaling represses APOE expression in human astrocytes, revealing a link between the enhanced morphological complexity of human astrocytes and the observed reduced tempo of neuronal development in their presence. Strikingly, neuronal genes differentially impacted by human and chimpanzee astrocytes are associated with schizophrenia, Alzheimers disease, and epilepsy, linking astrocyte evolution to disease vulnerability. Altogether, these findings establish that brain neoteny is partly a glial phenomenon, revealing that understanding the pace of human brain development requires understanding how astrocytes, not only neurons, have evolved.

neuroscience↗

bioRxiv2023

Molecular signature of primate astrocytes reveals pathways and regulatory changes contributing to the human brain evolution

Astrocytes contribute to the development and regulation of the higher-level functions of the brain, the critical targets of evolution. However, the molecular signature of foetal astrocyte evolution in primates is unknown. Here, to address this question, we use human, chimpanzee, and macaque induced pluripotent stem cell-derived foetal astrocytes (iAstrocytes). Human iAstrocytes are bigger and more complex than the non-human primate iAstrocytes. We find loci related to the regulation of cell size with increased expression in the human lineage. Likewise, we uncover that genes and mechanisms implicated in long-range intercellular signalling are activated in the human iAstrocytes. Strikingly, loci downregulated in the human lineage frequently relate to intellectual disability raising new questions on the trade-offs associated with the evolution of the human mind. Using our system, through a multilevel regulome analysis and machine learning, we uncover that functional activation of enhancers coincides with a previously unappreciated, pervasive gain of binding sites of stripe transcription factors. In summary, we shed new light on a mechanism driving the acquisition of the regulatory potential of enhancers.

neuroscience↗

bioRxiv2018

Single-particle tracking of Nucleotide Excision Repair proteins inside living bacteria

Single-particle tracking (SPT) combined with Photoactivated Localization Microscopy (sptPALM) provides an opportunity to perform complex molecular biology experiments inside living cells. By tracking the motion of DNA repair proteins in vivo, information can be extracted not only about their diffusion, but also about the kinetics and spatial distribution of DNA binding1-3. From a methodological point of view, a Total Internal Reflection Microscope equipped with a sensitive detector (usually an EM-CCD camera4) is commonly used, allowing detection of individual fluorophores. The signal from individual emitters can be analysed and the position of a given fluorophore established with high accuracy (up to a single nm) by Gaussian fitting. To determine the mobility of each fluorophore, the positions of individual molecules are linked into trajectories over multiple frames using a tracking algorithm5.

biophysics↗