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Publications in Nature Protocols by NOMIS researchers

NOMIS Researcher(s)

Published in

February 10, 2025

Sparse, single-cell labeling approaches enable high-resolution, high signal-to-noise recordings from subcellular compartments and intracellular organelles and allow precise manipulations of individual cells and local circuits while minimizing complex changes associated with global network manipulations. However, thus far, only a limited number of approaches have been developed to label single cells with unique combinations of genetically encoded indicators, target deep cortical structures or sustainably use the same chronic preparation for weeks. Here we developed a method to deliver plasmids selectively to single pyramidal neurons in the mouse dorsal hippocampus using two-photon visually guided in vivo single-cell electroporation to address these limitations. This method allows long-term plasmid expression in a controlled number of individual pyramidal neurons, facilitating subcellular resolution imaging, intracellular organelle tracking, monosynaptic input mapping, plasticity induction and targeted whole-cell patch-clamp recordings.

Research field(s)
Molecular Biology, Neuroscience

NOMIS Researcher(s)

Published in

January 25, 2023

Homeostatic and pathological phenomena often affect multiple organs across the whole organism. Tissue clearing methods, together with recent advances in microscopy, have made holistic examinations of biological samples feasible. Here, we report the detailed protocol for nanobody(VHH)-boosted 3D imaging of solvent-cleared organs (vDISCO), a pressure-driven, nanobody-based whole-body immunolabeling and clearing method that renders whole mice transparent in 3 weeks, consistently enhancing the signal of fluorescent proteins, stabilizing them for years. This allows the reliable detection and quantification of fluorescent signal in intact rodents enabling the analysis of an entire body at cellular resolution. Here, we show the high versatility of vDISCO applied to boost the fluorescence signal of genetically expressed reporters and clear multiple dissected organs and tissues, as well as how to image processed samples using multiple fluorescence microscopy systems. The entire protocol is accessible to laboratories with limited expertise in tissue clearing. In addition to its applications in obtaining a whole-mouse neuronal projection map, detecting single-cell metastases in whole mice and identifying previously undescribed anatomical structures, we further show the visualization of the entire mouse lymphatic system, the application for virus tracing and the visualization of all pericytes in the brain. Taken together, our vDISCO pipeline allows systematic and comprehensive studies of cellular phenomena and connectivity in whole bodies. © 2023, Springer Nature Limited.

Research field(s)
Applied Sciences, Enabling & Strategic Technologies, Bioinformatics

NOMIS Researcher(s)

Published in

May 1, 2020

DISCOVER-seq (discovery of in situ Cas off-targets and verification by sequencing) is a broadly applicable approach for unbiased CRISPR–Cas off-target identification in cells and tissues. It leverages the recruitment of DNA repair factors to double-strand breaks (DSBs) after genome editing with CRISPR nucleases. Here, we describe a detailed experimental protocol and analysis pipeline with which to perform DISCOVER-seq. The principle of this method is to track the precise recruitment of MRE11 to DSBs by chromatin immunoprecipitation followed by next-generation sequencing. A customized open-source bioinformatics pipeline, BLENDER (blunt end finder), then identifies off-target sequences genome wide. DISCOVER-seq is capable of finding and measuring off-targets in primary cells and in situ. The two main advantages of DISCOVER-seq are (i) low false-positive rates because DNA repair enzyme binding is required for genome edits to occur and (ii) its applicability to a wide variety of systems, including patient-derived cells and animal models. The whole protocol, including the analysis, can be completed within 2 weeks.

Research field(s)
Applied Sciences, Enabling & Strategic Technologies, Bioinformatics