Raman spectroscopy: an evolving technique for live cell studies

Abstract

One of the most exciting developments in Raman spectroscopy in the last decade has been its application to cells and tissues for diagnostic and pharmaceutical applications, and in particular its use in the analysis of cellular dynamics. Raman spectroscopy is rapidly advancing as a cell imaging method that overcomes many of the limitations of current techniques and is earning its place as a routine tool in cell biology. In this review we focus on important developments in Raman spectroscopy that have evolved into the exciting technique of live-cell Raman microscopy and highlight some of the most recent and significant applications to cell biology.

Raman spectroscopy for accurately characterizing biomolecular changes in androgen‐independent prostate cancer cells

“…Analysis of this complex environment is essential to target therapy and in recent years, efforts have been focused on finding novel targeted therapies for CRPC, which is not only chemoresistant but also highly aggressive . Amongst a number of optical techniques, Raman spectroscopy is particularly relevant for investigating intracellular biochemical changes . Raman spectroscopy detects the vibrational modes of the underlying chemical structure of a cell providing molecular signatures of proteins, lipids and DNA without the need for a cell to be labelled or stained .…”

Leukemia cells detection based on electroporation assisted surface-enhanced Raman scattering

“…A great deal of research has gone into the development of novel approaches for leukemia early detection and screening. Since more than a decade ago, Raman microscopy has been a promising analytical tool for researchers working in the field of biomedical research, primarily because it is capable of detecting molecular vibrations that provide molecular information, including its structure and its environment [2]. Raman spectroscopy combined with statistical methods has been widely applied in disease diagnostics, including leukemia, oesophagus cancer, breast cancer, colorectal cancer, bladder cancer, lung cancer, and skin cancer [3][4][5].…”

Single‐Cell Mass Spectrometry Approaches to Explore Cellular Heterogeneity

“…[50] Thei ntroduction of cluster ion beams in SIMS has enabled imaging of the distributions of larger molecules on as ubcellular scale with higher analyte ion yields. E. coli 0.001 10 À9 -10 À7 1-100 60-1000 10 À9 -10 À3 1-300 000 60-200 000 10 À7 -0.1 100-10 8 1-100 S. cerevisiae 0.03 10 À9 -10 À7 1-100 200-5000 10 À8 -10 À3 30-2 10 6 200-200 000 10 À5 -1 10 000-10 9 1-600 A. thaliana [b] 20 10 À9 -10 À1 1-10 8 700-600 000 0.5 3 10 8 30 000-100 000 2-10 000 10 9 -7 10 12 0.3-100 000 H. sapiens 11 0 À9 -10 À5 1-4000 7000-90 000 10 À7 -10 À1 50-8 10 7 20 000-400 000 0.01-301 0 7 -10 10 5-90 000 E. coli 0.001 10 À9 -10 À7 1-100 60-1000 10 À9 -10 À3 1-300 000 60-200 000 10 À7 -0.1 100-10 8 1-100 S. cerevisiae 0.03 10 À9 -10 À7 1-100 200-5000 10 À8 -10 À3 30-2 10 6 200-200 000 10 À5 -1 10 000-10 9 1-600 A. thaliana [b] 20 10 À9 -10 À1 1-10 8 700-600 000 0.5 3 10 8 30 000-100 000 2-10 000 10 9 -7 10 12 0.3-100 000 H. sapiens 11 0 À9 -10 À5 1-4000 7000-90 000 10 À7 -10 À1 50-8 10 7 20 000-400 000 0.01-301 0 7 -10 10 5-90 000…”