Literature DB >> 23841108

Identification of different subsets of lung cells using Raman microspectroscopy and whole cell nucleus isolation.

Jacek K Pijanka1, Nicholas Stone, Abigail V Rutter, Nicholas Forsyth, Ganesh D Sockalingum, Ying Yang, Josep Sulé-Suso.   

Abstract

Raman spectroscopy has been widely used to study its possible clinical application in cancer diagnosis. However, in order to make it into clinical practice, it is important that this technique is able not only to identify cancer cells from their normal counterparts, but also from the array of cells present in human tissues. To this purpose, we used Raman spectroscopy to assess whether this technique was able to differentiate not only between lung cancer cells and lung epithelial cells but also from lung fibroblasts. Furthermore, we studied whether the differences were due to cell lineage (epithelial versus fibroblast) or to different proliferative characteristics of cells, and where in the cell compartment these differences might reside. To answer these questions we studied cell cytoplasm, cell nucleus and isolated whole cell nuclei. Our data suggests that Raman spectroscopy can differentiate between lung cancer, lung epithelial cells and lung fibroblasts. More important, it can also differentiate between 2 cells from the same lineage (fibroblast) but with one of them rendered immortal and with an increased proliferative activity. Finally, it seems that the main spectral differences reside in the cell nucleus and that the study of isolated nuclei strengthens the differences between cells.

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Year:  2013        PMID: 23841108     DOI: 10.1039/c3an00968h

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  4 in total

1.  Identifying the lineages of individual cells in cocultures by multivariate analysis of Raman spectra.

Authors:  Yelena Ilin; Mary L Kraft
Journal:  Analyst       Date:  2014-05-07       Impact factor: 4.616

2.  Detection and Classification of Multi-Type Cells by Using Confocal Raman Spectroscopy.

Authors:  Jing Wen; Tianchen Tang; Saima Kanwal; Yongzheng Lu; Chunxian Tao; Lulu Zheng; Dawei Zhang; Zhengqin Gu
Journal:  Front Chem       Date:  2021-04-12       Impact factor: 5.221

3.  The accuracy of Raman spectroscopy in the diagnosis of lung cancer: a systematic review and meta-analysis.

Authors:  Cong Chen; Jianqi Hao; Xiaohu Hao; Wenying Xu; Congjia Xiao; Jian Zhang; Qiang Pu; Lunxu Liu
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

4.  An infrared spectral biomarker accurately predicts neurodegenerative disease class in the absence of overt symptoms.

Authors:  Lila Lovergne; Dhruba Ghosh; Renaud Schuck; Aris A Polyzos; Andrew D Chen; Michael C Martin; Edward S Barnard; James B Brown; Cynthia T McMurray
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  4 in total

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