Super-resolution Surface-Enhanced Raman Scattering Imaging of Single Particles in Cells.
Carlos Diego L de AlbuquerqueZachary D SchultzPublished in: Analytical chemistry (2020)
The ability to locate and identify molecular interactions in cells has significant importance for understanding protein function and molecular biology. Functionalized metallic nanoparticles have been used as probes for protein tracking and drug delivery because of their ability to carry therapeutic agents and readily functionalized surfaces. In this work, we present a super-resolution surface-enhanced Raman scattering (SERS) approach for imaging and tracking membrane receptors interacting with peptide-functionalized gold nanostars (AuNS). The αvβ3 integrin receptors in colon cancer cells are successfully targeted and imaged using AuNS with the high-affinity amino acid sequence arginine-glycine-aspartic acid-phenylalanine-cysteine (RGDFC) attached. The RGDFC peptide interaction with the integrin receptor provides a bright and fluctuating SERS signal that can be analyzed with localization microscopy algorithms. Additionally, the observed SERS spectrum is used to confirm protein-peptide interaction. Experiments with functionalized and bare AuNS illustrate specific and nonspecific binding events. Specific binding is monitored with a localization precision of ∼6 nm. The observed spatial resolution is associated with tight binding, which was confirmed by the slower diffusion coefficient measured from 4.4 × 10-11 cm2/s for the AuNS-RGDFC compared to 7.8 × 10-10 cm2/s for the bare AuNS. Super-resolution SERS images at different focal planes show evidence of internalized particles and suggest insights into protein orientation on the surface of cells. Our work demonstrates super-resolution SERS imaging to probe membrane receptor interactions in cells, providing chemical information and spatial resolution with potential for diverse applications in life science and biomedicine.
Keyphrases
- induced apoptosis
- amino acid
- gold nanoparticles
- cell cycle arrest
- binding protein
- high resolution
- sensitive detection
- drug delivery
- quantum dots
- single molecule
- endoplasmic reticulum stress
- raman spectroscopy
- machine learning
- public health
- cancer therapy
- cell death
- protein protein
- nitric oxide
- magnetic resonance
- oxidative stress
- healthcare
- dna binding
- deep learning
- label free
- risk assessment
- molecularly imprinted
- optical coherence tomography
- pseudomonas aeruginosa
- cystic fibrosis
- mass spectrometry
- cell migration
- single cell
- computed tomography
- convolutional neural network
- fluorescent probe