Literature DB >> 30624901

Label-Free Volumetric Quantitative Imaging of the Human Somatic Cell Division by Hyperspectral Coherent Anti-Stokes Raman Scattering.

Arnica Karuna1, Francesco Masia1, Marie Wiltshire2, Rachel Errington2, Paola Borri3, Wolfgang Langbein1.   

Abstract

Quantifying the chemical composition of unstained intact tissue and cellular samples with high spatio-temporal resolution in three dimensions would provide a step change in cell and tissue analytics critical to progress the field of cell biology. Label-free optical microscopy offers the required resolution and noninvasiveness, yet quantitative imaging with chemical specificity is a challenging endeavor. In this work, we show that hyperspectral coherent anti-Stokes Raman scattering (CARS) microscopy can be used to provide quantitative volumetric imaging of human osteosarcoma cells at various stages through cell division, a fundamental component of the cell cycle progress resulting in the segregation of cellular content to produce two progeny. We have developed and applied a quantitative data analysis method to produce volumetric three-dimensional images of the chemical composition of the dividing cell in terms of water, proteins, DNAP (a mixture of proteins and DNA, similar to chromatin), and lipids. We then used these images to determine the dry masses of the corresponding organic components. The attribution of proteins and DNAP components was validated using specific well-characterized fluorescent probes, by comparison with correlative two-photon fluorescence microscopy of DNA and mitochondria. Furthermore, we map the same chemical components under perturbed conditions, employing a drug that interferes directly with cell division (Taxol), showing its influence on cell organization and the masses of proteins, DNAP, and lipids.

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Year:  2019        PMID: 30624901     DOI: 10.1021/acs.analchem.8b04706

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


  7 in total

Review 1.  Mammalian cell and tissue imaging using Raman and coherent Raman microscopy.

Authors:  Anthony A Fung; Lingyan Shi
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-07-19

2.  Protein and lipid mass concentration measurement in tissues by stimulated Raman scattering microscopy.

Authors:  Seungeun Oh; ChangHee Lee; Wenlong Yang; Ang Li; Avik Mukherjee; Markus Basan; Chongzhao Ran; Wei Yin; Clifford J Tabin; Dan Fu; X Sunney Xie; Marc W Kirschner
Journal:  Proc Natl Acad Sci U S A       Date:  2022-04-22       Impact factor: 12.779

3.  Multiplex coherent anti-Stokes Raman scattering highlights state of chromatin condensation in CH region.

Authors:  Tiffany Guerenne-Del Ben; Zakaniaina Rajaofara; Vincent Couderc; Vincent Sol; Hideaki Kano; Philippe Leproux; Jean-Michel Petit
Journal:  Sci Rep       Date:  2019-09-25       Impact factor: 4.379

4.  A primary effect of palmitic acid on mouse oocytes is the disruption of the structure of the endoplasmic reticulum.

Authors:  Yisu Wang; Iestyn Pope; Henry Brennan-Craddock; Emma Poole; Wolfgang Langbein; Paola Borri; Karl Swann
Journal:  Reproduction       Date:  2021-12-28       Impact factor: 3.906

5.  Quantitative Label-Free Imaging of Lipid Domains in Single Bilayers by Hyperspectral Coherent Raman Scattering.

Authors:  Alexander Nahmad-Rohen; David Regan; Francesco Masia; Craig McPhee; Iestyn Pope; Wolfgang Langbein; Paola Borri
Journal:  Anal Chem       Date:  2020-10-22       Impact factor: 6.986

6.  Bayesian Quantification for Coherent Anti-Stokes Raman Scattering Spectroscopy.

Authors:  Teemu Härkönen; Lassi Roininen; Matthew T Moores; Erik M Vartiainen
Journal:  J Phys Chem B       Date:  2020-07-30       Impact factor: 2.991

7.  Identifying subpopulations in multicellular systems by quantitative chemical imaging using label-free hyperspectral CARS microscopy.

Authors:  Iestyn Pope; Francesco Masia; Kenneth Ewan; Ana Jimenez-Pascual; Trevor C Dale; Florian A Siebzehnrubl; Paola Borri; Wolfgang Langbein
Journal:  Analyst       Date:  2021-02-22       Impact factor: 4.616

  7 in total

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