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Stajkovic, N.

Publications and source records attributed to Stajkovic, N..

4 recordsLinked to original sources

Hierarchical dendrite-inspired organic bioelectronic interfaces for neuronal integration

Brain-machine interfaces rely on intimate electrical communication between living neurons and artificial materials, yet conventional electrode architectures remain structurally different to neuronal tissue, limiting stable cell-electrode coupling and long-term recording. Although conducting polymers and microstructured interfaces have individually improved the electrochemical and biological properties of neural electrodes, integrating neuromimetic architecture with electrically active organic materials to direct neuron-electrode interactions has remained challenging. Here we engineer dendrite-inspired organic microelectrodes by programming the self-assembly of conducting polymer fibers directly on microelectrode arrays. By controlling the electrodeposition process, we generate hierarchical architectures that emulate key stages of dendritic development while preserving the relevant electrochemical properties of conducting polymers. These bioinspired interfaces promote nanoscale membrane conformability, reduce the neuron-electrode cleft, and induce localized membrane engulfment of the electrode structures. The enhanced structural integration is accompanied by increased synaptic protein expression and neuronal excitability within mature primary cortical networks. Furthermore, the dendritic electrodes enable localized laser-assisted optoporation, providing transient intracellular electrophysiological access while maintaining extracellular recording functionality.

neuroscience↗

Direct fluorescent labeling of NF186 and NaV1.6 in living primary neurons using bioorthogonal click chemistry

The axon initial segment (AIS) is a highly specialized neuronal compartment that regulates the generation of action potentials and maintenance of neuronal polarity. Despite its importance, live imaging of the AIS is challenging due to the limited number of suitable labeling methods. To overcome this limitation, we established a novel approach for live labeling of the AIS using unnatural amino acids (UAAs) and bioorthogonal click chemistry. The small size of the UAAs and the possibility of introducing them virtually anywhere into the target proteins make this method particularly suitable for live labeling and imaging of complex and spatially restricted proteins. With this approach, we labeled two large AIS components, the 186 kDa isoform of neurofascin (NF186) and the 260 kDa voltage-gated sodium channel (NaV1.6), and performed widefield and confocal microscopy in fixed and living neurons. Moreover, we demonstrated the applicability of this method by studying the localization of two epilepsy-causing NaV1.6 variants with a loss-of-function effect. Finally, to further improve the efficiency of the UAA incorporation, we developed adeno-associated viral (AAV) vectors for click labeling in primary neurons. The use of AAV vectors will facilitate the transfer of UAA-based click labeling technology to more complex biological systems, such as organotypic slice cultures, organoids, and animal models.

neuroscience↗

Minimal genetically encoded tags for fluorescent protein labeling in living neurons

Modern light microscopy, including super-resolution techniques, brought about a demand for small labeling tags that bring the fluorophore closer to the target. This challenge can be addressed by labeling unnatural amino acids (UAAs) with click chemistry. UAAs are site-specifically incorporated into a protein of interest by genetic code expansion. If the UAA carries a strained alkene or alkyne moiety it can be conjugated to a tetrazine-bearing fluorophore via a strain-promoted inverse-electron-demand Diels-Alder cycloaddition (SPIEDAC), a variant of bioorthogonal click chemistry. The minimal size of the incorporated tag and the possibility to couple the fluorophores directly to the protein of interest with single-residue precision make SPIEDAC live-cell labeling unique. However, until now, this type of labeling has not been used in complex, non-dividing cells, such as neurons. Using neurofilament light chain as a target protein, we established SPIEDAC labeling in living primary neurons and applied it for fixed-cell, live-cell, dual-color pulse--chase and super-resolution microscopy. We also show that SPIEDAC labeling can be combined with CRISPR/Cas9 genome engineering for tagging endogenous NFL. Due to its versatile nature and compatibility with advanced microscopy techniques, we anticipate that SPIEDAC labeling will contribute to novel discoveries in neurobiology.

neuroscience↗

Seeing in the dark: Vectashield quenches Alexa Fluor 647 fluorescence, but does not hinder dSTORM imaging

Finding the right combination of a fluorescent dye and a mounting medium is crucial for optimal microscopy of fixed samples. It was recently shown that Vectashield, one of the most commonly used mounting media for conventional microscopy, can also be applied to super-resolution direct stochastic optical reconstruction microscopy (dSTORM). dSTORM utilizes conventional dyes and starts with samples in a fluorescent ON state. This helps identifying structures of interests. Subsequently, labelled samples are brought to blinking, which is necessary for localization of single molecules and reconstruction of super-resolution images. This is only possible with certain fluorescent dyes and imaging buffers. One of the most widely used dyes for dSTORM, Alexa Fluor (AF) 647, blinks in Vectashield. However, after adding Vectashield to our samples, we noticed that the fluorescence intensity of AF647 and its improved variant, AF647+, is quenched. Since structures of interest cannot be identified in quenched samples, loss of fluorescence intensity hinders imaging of AF647 in Vectashield. This has consequences for both conventional and dSTORM imaging. To overcome this, we provide: 1) a quantitative analysis of AF647 intensity in different imaging media, 2) practical advice on how to use Vectashield for dSTORM imaging of AF647 and AF647+.

biophysics↗