Literature DB >> 22954250

Noninvasive imaging of intracellular lipid metabolism in macrophages by Raman microscopy in combination with stable isotopic labeling.

Christian Matthäus1, Christoph Krafft, Benjamin Dietzek, Bernhard R Brehm, Stefan Lorkowski, Jürgen Popp.   

Abstract

Monocyte-derived macrophages play a key role in atherogenesis because their transformation into foam cells is responsible for deposition of lipids in plaques within arterial walls. The appearance of cytosolic lipid droplets is a hallmark of macrophage foam cell formation, and the molecular basics involved in this process are not well understood. Of particular interest is the intracellular fate of different individual lipid species, such as fatty acids or cholesterol. Here, we utilize Raman microscopy to image the metabolism of such lipids and to trace their subsequent storage patterns. The combination of microscopic information with Raman spectroscopy provides a powerful molecular imaging method, which allows visualization at the diffraction limit of the employed laser light and biochemical characterization through associated spectral information. In order to distinguish the molecules of interest from other naturally occurring lipids spectroscopically, deuterium labels were introduced. Intracellular distribution and metabolic changes were observed for serum albumin-complexed palmitic and oleic acid and cholesterol and quantitatively evaluated by monitoring the increase in CD scattering intensities at 0.5, 1, 3, 6, 24, 30, and 36 h. This approach may also allow for investigating the cellular trafficking of other molecules, such as nutrients, metabolites, and drugs.

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Year:  2012        PMID: 22954250     DOI: 10.1021/ac3012347

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  34 in total

1.  Raman imaging of macrophages incubated with triglyceride-enriched oxLDL visualizes translocation of lipids between endocytic vesicles and lipid droplets.

Authors:  Clara Stiebing; Lisa Schmölz; Maria Wallert; Christian Matthäus; Stefan Lorkowski; Jürgen Popp
Journal:  J Lipid Res       Date:  2017-01-31       Impact factor: 5.922

2.  Cell optical density and molecular composition revealed by simultaneous multimodal label-free imaging.

Authors:  Nicolas Pavillon; Alison J Hobro; Nicholas I Smith
Journal:  Biophys J       Date:  2013-09-03       Impact factor: 4.033

3.  Tracking glycosylation in live cells using FTIR spectroscopy.

Authors:  Joshua Phelan; Ali Altharawi; K L Andrew Chan
Journal:  Talanta       Date:  2020-01-13       Impact factor: 6.057

4.  Label-Free Raman Spectroscopy Reveals Signatures of Radiation Resistance in the Tumor Microenvironment.

Authors:  Santosh K Paidi; Paola Monterroso Diaz; Sina Dadgar; Samir V Jenkins; Charles M Quick; Robert J Griffin; Ruud P M Dings; Narasimhan Rajaram; Ishan Barman
Journal:  Cancer Res       Date:  2019-02-28       Impact factor: 12.701

Review 5.  Microbial phenomics linking the phenotype to function: The potential of Raman spectroscopy.

Authors:  Jin-Kyung Hong; Soo Bin Kim; Eun Sun Lyou; Tae Kwon Lee
Journal:  J Microbiol       Date:  2021-01-26       Impact factor: 3.422

6.  Label-Free Raman Spectroscopy Detects Stromal Adaptations in Premetastatic Lungs Primed by Breast Cancer.

Authors:  Santosh Kumar Paidi; Asif Rizwan; Chao Zheng; Menglin Cheng; Kristine Glunde; Ishan Barman
Journal:  Cancer Res       Date:  2016-11-15       Impact factor: 12.701

7.  Automated identification of subcellular organelles by coherent anti-stokes Raman scattering.

Authors:  Samir F El-Mashtoly; Daniel Niedieker; Dennis Petersen; Sascha D Krauss; Erik Freier; Abdelouahid Maghnouj; Axel Mosig; Stephan Hahn; Carsten Kötting; Klaus Gerwert
Journal:  Biophys J       Date:  2014-05-06       Impact factor: 4.033

8.  A machine learning framework to analyze hyperspectral stimulated Raman scattering microscopy images of expressed human meibum.

Authors:  Alba Alfonso-García; Jerry Paugh; Marjan Farid; Sumit Garg; James V Jester; Eric O Potma
Journal:  J Raman Spectrosc       Date:  2017-04-11       Impact factor: 3.133

Review 9.  Applications of vibrational tags in biological imaging by Raman microscopy.

Authors:  Zhilun Zhao; Yihui Shen; Fanghao Hu; Wei Min
Journal:  Analyst       Date:  2017-10-23       Impact factor: 4.616

10.  A highly sensitive protocol for microscopy of alkyne lipids and fluorescently tagged or immunostained proteins.

Authors:  Anne Gaebler; Anke Penno; Lars Kuerschner; Christoph Thiele
Journal:  J Lipid Res       Date:  2016-08-26       Impact factor: 5.922

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