bioRxiv Science⌕ Search

Biology subjects

Scheefhals, N.

Publications and source records attributed to Scheefhals, N..

2 recordsLinked to original sources

CHD2 Dosage Ties Autolysosomal Pathway to Cortical Maturation in Disease and Evolution

The mechanisms linking evolutionary changes in gene regulation to brain development and neurodevelopmental disease susceptibility remain poorly understood. Here, we identify a human-specific variant in an enhancer region that reduces expression of the chromatin remodeler CHD2. We investigate the variant's functional consequences using genome editing, cross-primate induced pluripotent stem cell models, cortical organoids, single-cell transcriptomics, patient-derived cells, and neuronal network analyses. We demonstrate that CHD2 dosage bidirectionally regulates lysosomal function and autophagosome flux to set the tempo of neuronal maturation. Higher CHD2 expression, as found in ancestralized and non-human primate models, enhances lysosomal degradative capacity and accelerates dendritic and synaptic maturation. Conversely, CHD2 haploinsufficiency yields reciprocal defects and disrupts broader neurodevelopmental transcriptional programs. Restoring lysosomal function genetically or pharmacologically rescues neuronal maturation in CHD2-haploinsufficient neurons, establishing lysosomal dysfunction as a causal and therapeutically tractable mechanism. These findings reveal that CHD2 and lysosomal homeostasis constitute a critical molecular axis regulating the pace of cortical development across evolution and disease.

neuroscience↗

ORANGE: A CRISPR/Cas9-based genome editing toolbox for epitope tagging of endogenous proteins in neurons

The correct subcellular distribution of protein complexes establishes the complex morphology of neurons and is fundamental to their functioning. Thus, determining the dynamic distribution of proteins is essential to understand neuronal processes. Fluorescence imaging, in particular super-resolution microscopy, has become invaluable to investigate subcellular protein distribution. However, these approaches suffer from the limited ability to efficiently and reliably label endogenous proteins. We developed ORANGE: an Open Resource for the Application of Neuronal Genome Editing, that mediates targeted genomic integration of fluorescent tags in neurons. This toolbox includes a knock-in library for in-depth investigation of endogenous protein distribution, and a detailed protocol explaining how knock-in can be developed for novel targets. In combination with super-resolution microscopy, ORANGE revealed the dynamic nanoscale organization of endogenous neuronal signaling molecules, synaptic scaffolding proteins, and neurotransmitter receptors. Thus, ORANGE enables quantitation of expression and distribution for virtually any protein in neurons at high resolution and will significantly further our understanding of neuronal cell biology.

neuroscience↗