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Enhancing Multiplexing in Fluorescence Microscopy with NanoPlex

In a recent article published in Nature Communications, researchers introduced NanoPlex, a novel strategy designed to overcome limitations in fluorescence microscopy by utilizing engineered secondary nanobodies to selectively remove fluorescent signals.

Enhancing Multiplexing in Fluorescence Microscopy with NanoPlex

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This innovative approach enables the detection of multiple targets in a single sample, facilitating a more comprehensive understanding of complex biological systems.

The authors aim to demonstrate the versatility and efficiency of NanoPlex across various imaging modalities, including conventional fluorescence microscopy and advanced super-resolution techniques.

Background

Fluorescence microscopy has become a cornerstone of cell biology, allowing researchers to study the localization and dynamics of proteins within cells. Traditional multiplexing techniques often rely on multiple primary antibodies, which can lead to issues such as cross-reactivity and signal overlap.

Recent advancements have introduced nanobodies—small, single-domain antibodies derived from camelids—as a promising alternative due to their unique properties, including high specificity and stability. The authors highlight the potential of combining nanobodies with erasable fluorescent signals to create a flexible and efficient multiplexing system.

This system is designed to allow for the sequential imaging of multiple targets, thereby expanding the range of detectable proteins without the complications associated with conventional methods.

The Current Study

The NanoPlex methodology was developed to facilitate multiplexed fluorescence imaging using engineered nanobodies and erasable fluorescent signals. Initially, a diverse library of nanobodies was generated, targeting specific proteins of interest through phage display techniques. These nanobodies were then conjugated to various fluorescent dyes, selected for their compatibility with the imaging system and ability to be reversibly removed.

Sample preparation followed standard protocols, including fixation with 4 % paraformaldehyde and permeabilization with 0.1 % Triton X-100, ensuring optimal accessibility for the nanobodies. Cells were incubated with the primary nanobodies, followed by the addition of secondary nanobodies conjugated to fluorescent dyes. Imaging was performed using a confocal microscope equipped with a laser system capable of exciting multiple fluorophores.

To achieve multiplexing, the fluorescent signals were selectively erased using one of three strategies: OptoPlex (light-induced), EnzyPlex (enzymatic), or ChemiPlex (chemical). Each strategy was optimized for specific conditions, allowing for the sequential imaging of different targets within the same sample. The imaging process involved capturing high-resolution images at various wavelengths, followed by the application of the signal removal strategy to prepare the sample for the next round of imaging.

Data analysis was conducted using specialized software to quantify the fluorescence intensity and assess the spatial distribution of the targets, enabling a comprehensive evaluation of protein localization and interactions within the cellular context.

Results and Discussion

The results demonstrated that NanoPlex successfully enabled the detection of up to 21 targets in three-dimensional confocal analyses and 5-8 targets in super-resolution imaging. The authors observed that using erasable signals significantly reduced background noise and improved the clarity of the images obtained.

This enhancement allowed for more precise localization of proteins within cellular structures, providing valuable insights into their spatial relationships. The study also highlighted NanoPlex's flexibility, as it can be adapted for various imaging modalities and sample types.

In addition to its technical advantages, the study discussed the broader implications of NanoPlex for single-cell proteomics. By facilitating the simultaneous detection of multiple proteins, this method can contribute to a more comprehensive understanding of cellular functions and interactions.

The authors emphasized that automating the NanoPlex workflow could further streamline the process, making it accessible to a wider range of researchers. They also addressed potential challenges, such as the need for careful optimization of nanobody concentrations and imaging conditions to achieve the best results.

Conclusion

The NanoPlex strategy represents a significant advancement in fluorescence microscopy, offering a versatile and efficient solution for multiplexing in biological imaging. By leveraging the unique properties of nanobodies and erasable fluorescent signals, this method allows for the simultaneous detection of multiple targets, thereby enhancing our ability to study complex biological systems.

The authors believe that NanoPlex will improve the quality of imaging data and facilitate new discoveries in cell biology. As researchers continue to explore the intricacies of cellular processes, adopting innovative techniques like NanoPlex will be crucial for advancing our understanding of life at the molecular level.

The study sets the stage for future research aimed at further refining this methodology and expanding its applications across various scientific disciplines.

Journal Reference

Mougios N., et al. (2024). NanoPlex: a universal strategy for fluorescence microscopy multiplexing using nanobodies with erasable signals. Nature Communications. DOI: 10.1038/s41467-024-53030-w, https://www.nature.com/articles/s41467-024-53030-w

Dr. Noopur Jain

Written by

Dr. Noopur Jain

Dr. Noopur Jain is an accomplished Scientific Writer based in the city of New Delhi, India. With a Ph.D. in Materials Science, she brings a depth of knowledge and experience in electron microscopy, catalysis, and soft materials. Her scientific publishing record is a testament to her dedication and expertise in the field. Additionally, she has hands-on experience in the field of chemical formulations, microscopy technique development and statistical analysis.    

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