An aldehyde-crosslinking mitochondrial probe for STED imaging in fixed cells.
Jingting ChenTill StephanFelix GaedkeTianyan LiuYiyan LiAstrid SchaussPeng ChenVeronika WulffStefan JakobsChristian JüngstZhixing ChenPublished in: Proceedings of the National Academy of Sciences of the United States of America (2024)
Fluorescence labeling of chemically fixed specimens, especially immunolabeling, plays a vital role in super-resolution imaging as it offers a convenient way to visualize cellular structures like mitochondria or the distribution of biomolecules with high detail. Despite the development of various distinct probes that enable super-resolved stimulated emission depletion (STED) imaging of mitochondria in live cells, most of these membrane-potential-dependent fluorophores cannot be retained well in mitochondria after chemical fixation. This lack of suitable mitochondrial probes has limited STED imaging of mitochondria to live cell samples. In this study, we introduce a mitochondria-specific probe, PK Mito Orange FX (PKMO FX), which features a fixation-driven cross-linking motif and accumulates in the mitochondrial inner membrane. It exhibits high fluorescence retention after chemical fixation and efficient depletion at 775 nm, enabling nanoscopic imaging both before and after aldehyde fixation. We demonstrate the compatibility of this probe with conventional immunolabeling and other strategies commonly used for fluorescence labeling of fixed samples. Moreover, we show that PKMO FX facilitates correlative super-resolution light and electron microscopy, enabling the correlation of multicolor fluorescence images and transmission EM images via the characteristic mitochondrial pattern. Our probe further expands the mitochondrial toolkit for multimodal microscopy at nanometer resolutions.
Keyphrases
- high resolution
- single molecule
- oxidative stress
- living cells
- cell death
- induced apoptosis
- minimally invasive
- reactive oxygen species
- fluorescence imaging
- quantum dots
- small molecule
- deep learning
- endoplasmic reticulum
- cell cycle arrest
- electron microscopy
- convolutional neural network
- risk assessment
- machine learning
- photodynamic therapy
- mass spectrometry
- signaling pathway
- single cell