bioRxiv Science⌕ Search

Biology subjects

Willems, J.

Publications and source records attributed to Willems, J..

2 recordsLinked to original sources

Multiplex labeling and manipulation of endogenous neuronal proteins using sequential CRISPR/Cas9 gene editing

Recent advances in CRISPR/Cas9-mediated knock-in methods enable labeling of individual endogenous proteins with fluorophores, to determine their spatiotemporal expression in intact biological preparations. However, multiplex knock-in methods remain limited, particularly in postmitotic cells, due to a high degree of crosstalk between genome editing events. We present Conditional Activation of Knock-in Expression (CAKE), which delivers efficient, flexible and accurate multiplex genome editing in neurons. CAKE is based on sequential gRNA expression operated by a Cre- or Flp-recombinase to control the time window for genomic integration of each donor sequence, which diminishes crosstalk between genome editing events. Importantly, CAKE is compatible with multiple CRISPR/Cas9 strategies, and we show the utilization of CAKE for co-localization of various endogenous proteins, including synaptic scaffolds, ion channels and neurotransmitter receptor subunits. Knock-in efficacy was highly sensitive to DNA vector amount, while knock-in crosstalk was dependent on the rate of donor DNA integration and timing of Cre activation. We applied CAKE to study the co-distribution of endogenous synaptic proteins using dual-color single-molecule localization microscopy, and we introduced dimerization modules to acutely control synaptic receptor dynamics in living neurons. Taken together, CAKE is a versatile method for multiplex protein labeling, enabling accurate detection, precise localization and acute manipulation of endogenous proteins in single cells.

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↗