Destabilized near-infrared fluorescent nanobodies enable background-free targeting of GFP-based biosensors for imaging and manipulation

Near-infrared (NIR) probes are highly sought after as fluorescent tags for multicolor cellular and in vivo imaging. Here we develop small NIR fluorescent nanobodies, termed NIR-Fb<sub>LAG16</sub> and NIR-Fb<sub>LAG30</sub>, enabling background-free visualization of various GFP-derived probes and biosensors. We also design a red-shifted variant, NIR-Fb<sub>(718)</sub>, to simultaneously target several antigens within the NIR spectral range. Leveraging the antigen-stabilizing property of the developed NIR-Fbs, we then create two modular systems for precise control of gene expression in GFP-labeled cells. Applying the NIR-Fbs in vivo, we target cells expressing GFP and the calcium biosensor GCaMP6 in the somatosensory cortex of transgenic mice. Simultaneously tracking calcium activity and the reference signal from NIR-Fb<sub>LAG</sub>s bound to GCaMP6 enables ratiometric deep-brain in vivo imaging. Altogether, NIR-Fb<sub>LAG</sub>s present a promising approach for imaging and manipulating various processes in live cells and behaving animals expressing GFP-based probes.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2024-09-06
DOI
https://doi.org/10.1038/s41467-024-51857-x
Citations
7
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
2.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Destabilized near-infrared fluorescent nanobodies enable background-free targeting of GFP-based biosensors for imaging and manipulation

Erin M. Carey, Vladislav V. Verkhusha, Natalia V. Barykina, Axel Nimmerjahn et al.
7 citations
Nature Communications
Monoclonal and Polyclonal Antibodies Research
2.83
article

Destabilized near-infrared fluorescent nanobodies enable background-free targeting of GFP-based biosensors for imaging and manipulation

Erin M. Carey, Vladislav V. Verkhusha, Natalia V. Barykina, Axel Nimmerjahn, Olena S. Oliinyk
article en
7 citations

Abstract

Near-infrared (NIR) probes are highly sought after as fluorescent tags for multicolor cellular and in vivo imaging. Here we develop small NIR fluorescent nanobodies, termed NIR-Fb<sub>LAG16</sub> and NIR-Fb<sub>LAG30</sub>, enabling background-free visualization of various GFP-derived probes and biosensors. We also design a red-shifted variant, NIR-Fb<sub>(718)</sub>, to simultaneously target several antigens within the NIR spectral range. Leveraging the antigen-stabilizing property of the developed NIR-Fbs, we then create two modular systems for precise control of gene expression in GFP-labeled cells. Applying the NIR-Fbs in vivo, we target cells expressing GFP and the calcium biosensor GCaMP6 in the somatosensory cortex of transgenic mice. Simultaneously tracking calcium activity and the reference signal from NIR-Fb<sub>LAG</sub>s bound to GCaMP6 enables ratiometric deep-brain in vivo imaging. Altogether, NIR-Fb<sub>LAG</sub>s present a promising approach for imaging and manipulating various processes in live cells and behaving animals expressing GFP-based probes.

Nature CommunicationsVol. 15(1)
Albert Einstein College of Medicine (US), Salk Institute for Biological Studies (US), University of Helsinki (FI)
Jane ja Aatos Erkon Säätiö, Magnus Ehrnroothin Säätiö, National Research Center "Kurchatov Institute", National Institutes of Health, Office of Extramural Research, National Institutes of Health
Affordable and clean energy
Openalex Percentile: Top 9%
Monoclonal and Polyclonal Antibodies Research
2.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.