Raman and Infrared Spectroscopy Distinguishing Replicative Senescent from Proliferating Primary Human Fibroblast Cells by Detecting Spectral Differences Mainly Due to Biomolecular Alterations.
Katharina EberhardtClaudia BeleitesShiva MarthandanChristian MatthäusStephan DiekmannJuergen PoppPublished in: Analytical chemistry (2017)
Cellular senescence is a terminal cell cycle arrested state, assumed to be involved in tumor suppression. We studied four human fibroblast cell strains (BJ, MRC-5, IMR-90, and WI-38) from proliferation into senescence. Cells were investigated by label-free vibrational Raman and infrared spectroscopy, following their transition into replicative senescence. During the transition into senescence, we observed rather similar biomolecular abundances in all four cell strains and between proliferating and senescent cells; however, in the four aging cell strains, we found common molecular differences dominated by protein and lipid modifications. Hence, aging induces a change in the appearance of biomolecules (including degradation and storage of waste) rather than in their amount present in the cells. For all fibroblast strains combined, the partial least squares-linear discriminant analysis (PLS-LDA) model resulted in 75% and 81% accuracy for the Raman and infrared (IR) data, respectively. Within this validation, senescent cells were recognized with 93% sensitivity and 90% specificity for the Raman and 84% sensitivity and 97% specificity for the IR data. Thus, Raman and infrared spectroscopy can identify replicative senescence on the single cell level, suggesting that vibrational spectroscopy may be suitable for identifying and distinguishing different cellular states in vivo, e.g., in skin.
Keyphrases
- induced apoptosis
- single cell
- endothelial cells
- cell cycle arrest
- label free
- cell cycle
- escherichia coli
- dna damage
- endoplasmic reticulum stress
- signaling pathway
- cell therapy
- cell death
- magnetic resonance imaging
- stem cells
- oxidative stress
- risk assessment
- stress induced
- cell proliferation
- rna seq
- mass spectrometry
- small molecule
- computed tomography
- fatty acid
- big data
- deep learning
- density functional theory
- anaerobic digestion
- contrast enhanced