A zinc metal complex as an NIR emissive probe for real-time dynamics and in vivo embryogenic evolution of lysosomes using super-resolution microscopy.
Abdul SalamKush KaushikBodhidipra MukherjeeFarhan AnjumGoraksha T SapkalShagun SharmaRicha GargChayan Kanti NandiPublished in: Chemical science (2024)
Zinc (Zn) based fluorescent metal complexes have gained increasing attention due to their non-toxicity and high brightness with marked fluorescence quantum yield (QY). However, they have rarely been employed in super-resolution microscopy (SRM) to study live cells and in vivo dynamics of lysosomes. Here, we present an NIR emissive highly photostable Zn-complex as a multifaceted fluorescent probe for the long-term dynamical distribution of lysosomes in various cancerous and non-cancerous cells in live condition and in vivo embryogenic evolution in Caenorhabditis elegans ( C. elegans ). Apart from the normal fission, fusion, and kiss & run, the motility and the exact location of lysosomes at each point were mapped precisely. A notable difference in the lysosomal motility in the peripheral region between cancerous and non-cancerous cells was distinctly observed. This is attributed to the difference in viscosity of the cytoplasmic environment. On the other hand, along with the super-resolved structure of the smallest size lysosome (∼77 nm) in live C. elegans , the complete in vivo embryogenic evolution of lysosomes and lysosome-related organelles (LROs) was captured. We were able to capture the images of lysosomes and LROs at different stages of C. elegans , starting from a single cell and extending to a fully matured adult animal.
Keyphrases
- fluorescent probe
- living cells
- induced apoptosis
- cell cycle arrest
- single molecule
- oxidative stress
- single cell
- high resolution
- endoplasmic reticulum stress
- heavy metals
- density functional theory
- signaling pathway
- quantum dots
- molecular dynamics
- high speed
- machine learning
- drug release
- fluorescence imaging
- convolutional neural network
- deep learning
- staphylococcus aureus
- working memory
- cystic fibrosis
- pi k akt
- pseudomonas aeruginosa
- drug induced
- energy transfer