2011
DOI: 10.1039/c1cc12350e
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In vivo multimode Raman imaging reveals concerted molecular composition and distribution changes during yeast cell cycle

Abstract: In vivo time-lapse Raman imaging reveals highly dynamic and concerted changes in concentration and distribution of phospholipids and proteins during and after cell division of a single living Schizosaccharomyces pombe cell.

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Cited by 50 publications
(63 citation statements)
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“…After wavelength calibration using the Raman spectrum of indene, all spectra acquired by the Raman mapping experiment were processed by a singular value decomposition analysis for noise reduction, as described in previous reports [19,36]. After the data pre-processing, for measurement of area intensity of the Raman band, the fitted spectrum was processed by gauss fitting method in the spectral region containing the Raman markers associated with cytochrome, protein, and AmB (726–762 cm −1 , 997–1009 cm −1 , 1533–1568 cm −1 , respectively).…”
Section: Methodsmentioning
confidence: 99%
“…After wavelength calibration using the Raman spectrum of indene, all spectra acquired by the Raman mapping experiment were processed by a singular value decomposition analysis for noise reduction, as described in previous reports [19,36]. After the data pre-processing, for measurement of area intensity of the Raman band, the fitted spectrum was processed by gauss fitting method in the spectral region containing the Raman markers associated with cytochrome, protein, and AmB (726–762 cm −1 , 997–1009 cm −1 , 1533–1568 cm −1 , respectively).…”
Section: Methodsmentioning
confidence: 99%
“…In this work, we employed ultraviolet resonance Raman (UVRR) spectroscopy as a sensitive, specific reporter of drug‐induced changes in intact mammalian cells. In previous work, visible and near‐infrared Raman spectroscopies have been employed to monitor the viability of cells, study diseases and cellular events, and characterize drug‐biomolecular interactions ,. Compared to visible and near‐infrared Raman spectroscopy, UVRR spectroscopy generates less biofluorescence and produces more reliable baselines.…”
Section: Figurementioning
confidence: 99%
“…Those changes were correlated to cell cycle phase-to-phase transitions, i.e., G 1 -S and G 2 -M, and validated by flow cytometry. Huang and coworkers 50 investigated cell cycle-related changes in molecular composition, and molecular distribution in yeast cells in time-lapsed Raman-based imaging. Time-lapsed images based on Raman peaks associated with lipid and protein vibrations were used to show the distribution of biochemical components during the G 2 -M phase and G 1 -S phase.…”
Section: Biological Applicationsmentioning
confidence: 99%